A B C D E F G I K L M N O P Q R S T U V W

A

ABNModelBuildState - class oracle.dmt.odm.ABNModelBuildState.
The enumeration class ABNModelBuildState is used to specify the AdaptiveBayesNetworkModel build state.
AccessData - class oracle.dmt.odm.AccessData.
For internal use only
AccessData(String, String) - Constructor for class oracle.dmt.odm.AccessData
Creates AccessData with specified user and password
activate - Static variable in class oracle.dmt.odm.UsageAdjustment
Activate the specified mining attributes and do not modify the usage of other mining attributes.
activateAll() - Method in class oracle.dmt.odm.settings.function.MiningFunctionSettings
Changes all mining attributes to have active attribute usage.
activateOnly - Static variable in class oracle.dmt.odm.UsageAdjustment
Activate the specified mining attributes and inactivate all the other mining attributes.
active - Static variable in class oracle.dmt.odm.AttributeUsage
 
adaptiveBayesNetwork - Static variable in class oracle.dmt.odm.MiningAlgorithm
Specifies the AdaptiveBayesNetwork algorithm for Classification.
AdaptiveBayesNetworkModel - class oracle.dmt.odm.model.AdaptiveBayesNetworkModel.
An instance of AdaptiveBayesNetworkModel contains the metadata and rules tables from a model build.
AdaptiveBayesNetworkSettings - class oracle.dmt.odm.settings.algorithm.AdaptiveBayesNetworkSettings.
An instance of AdaptiveBayesNetworkSettings is used to specify settings for the Adaptive Bayes Network algorithm.
AdaptiveBayesNetworkSettings(int, int, int) - Constructor for class oracle.dmt.odm.settings.algorithm.AdaptiveBayesNetworkSettings
Creates an AdaptiveBayesNetworkSettings.
AdaptiveBayesNetworkSettings(int, int, int, int) - Constructor for class oracle.dmt.odm.settings.algorithm.AdaptiveBayesNetworkSettings
Creates an AdaptiveBayesNetworkSettings
addAttribute(MiningAttribute) - Method in class oracle.dmt.odm.data.LogicalDataSpecification
Adds a mining attribute to the LDS.
addAttributeInstance(AttributeInstance) - Method in class oracle.dmt.odm.result.RecordInstance
Adds an attribute instance to this record instance.
addAttributeInstance(String, float) - Method in class oracle.dmt.odm.result.RecordInstance
Adds an attribute instance of float typr with the specified name to this record instance.
addAttributeInstance(String, int) - Method in class oracle.dmt.odm.result.RecordInstance
Adds an attribute instance of integer type with the specified name to this record instance.
addAttributeInstance(String, String) - Method in class oracle.dmt.odm.result.RecordInstance
Adds an attribute instance of string typr with the specified name to this record instance.
addCategory(Category) - Method in class oracle.dmt.odm.transformation.CategoryGroup
Adds a category to this group.
addCategoryGroup(CategoryGroup) - Method in class oracle.dmt.odm.transformation.CategoricalDiscretization
Adds a category group to this categorical discretization.
addEntry(Category, Category, float) - Method in class oracle.dmt.odm.CategoryMatrix
Adds a new entry to the matrix.
addEntry(Category, float) - Method in class oracle.dmt.odm.PriorProbabilities
Adds a new prior probability for the target value.
addExcludedCategory(Category) - Method in class oracle.dmt.odm.settings.function.AssociationRulesFunctionSettings
Adds a category to be excluded from the rule discovery.
addItem(ApplyContentItem) - Method in class oracle.dmt.odm.result.MiningApplyOutput
Adds an instance of ApplyContentItem.
addItemSet(ItemValue) - Method in class oracle.dmt.odm.rule.RuleComponent
Adds an instance of ItemValue to the itemset.
addNestedAttribute(MiningAttribute) - Method in class oracle.dmt.odm.data.MiningAttribute
Deprecated. As of ODM 9.2.0, nested attribute is not supported.
addNumercialBin(NumericalBin) - Method in class oracle.dmt.odm.transformation.NumericalDiscretization
Adds a numerical bin to the numerical discretization.
addPredicate(Predicate) - Method in class oracle.dmt.odm.rule.CompoundPredicate
For internal use only
addRuleAnnotation(RuleAnnotation) - Method in class oracle.dmt.odm.rule.MiningRule
For internal use only.
addRuleAnnotation(RuleAnnotation[]) - Method in class oracle.dmt.odm.rule.MiningRule
For internal use only.
addTarget(Category) - Method in class oracle.dmt.odm.result.ApplyTargetProbabilityItem
Adds a target value to be scored.
addUsageEntry(DataUsageEntry) - Method in class oracle.dmt.odm.settings.function.DataUsageSpecification
Adds a DataUsageEntry to this data usage specification.
addValue(Category) - Method in class oracle.dmt.odm.rule.SimplePredicate
For internal use only
adjustAttributeUsage(String[], AttributeUsage) - Method in class oracle.dmt.odm.settings.function.MiningFunctionSettings
Adjusts the data usage specification for the specified mining attributes to have new attribute usage.
adjustAttributeUsage(String[], UsageAdjustment) - Method in class oracle.dmt.odm.settings.function.MiningFunctionSettings
Adjusts the data usage specification for the specified mining attributes based on the specified usage adjustment.
adjustDataPreparationStatus(String[], DataPreparationStatus) - Method in class oracle.dmt.odm.settings.function.MiningFunctionSettings
Adjusts the data usage specification based for the specified mining attributes to have new data preparation status.
adjustNonStringAttributesType(String[], AttributeType) - Method in class oracle.dmt.odm.data.LogicalDataSpecification
Changes the attribute type of the spceified mining attributes in the LDS.
and - Static variable in class oracle.dmt.odm.BooleanOperator
Specifies the AND boolean operator.
apply(Connection, LocationAccessData, PhysicalDataSpecification, String, MiningApplyOutput, LocationAccessData, String) - Static method in class oracle.dmt.odm.model.ClusteringModel
Deprecated. As of ODM 9.2.0. Use MiningApplyTask to perform apply mining operation on a database table.
apply(Connection, LocationAccessData, PhysicalDataSpecification, String, MiningApplyOutput, LocationAccessData, String) - Static method in class oracle.dmt.odm.model.SupervisedModel
Deprecated. As of ODM 9.2.0. Use MiningApplyTask to perform apply mining operation on a database table.
apply(Connection, RecordInstance, String) - Static method in class oracle.dmt.odm.model.ClusteringModel
Performs the apply mining operation on a single record represented by an instance of RecordInstance.
apply(Connection, RecordInstance, String) - Static method in class oracle.dmt.odm.model.SupervisedModel
Performs the apply mining operation on a single record represented by an instance of RecordInstance.
apply(Connection, RecordInstance, String, MiningApplyOutput) - Static method in class oracle.dmt.odm.model.ClusteringModel
Performs the apply mining operation on a single record represented by an instance of RecordInstance.
apply(Connection, RecordInstance, String, MiningApplyOutput) - Static method in class oracle.dmt.odm.model.SupervisedModel
Performs the apply mining operation on a single record represented by an instance of RecordInstance.
ApplyContentItem - class oracle.dmt.odm.result.ApplyContentItem.
The abstract class ApplyContentItem represents an item to be included as part of the apply output.
ApplyContentOptionItem - class oracle.dmt.odm.result.ApplyContentOptionItem.
Deprecated. As of ODM 9.2.0, substitute with ApplyMultipleScoringItem with nPair=1 and useTop=true. The prediction column (predAttr) must be provided, while the probability column (probAttr) is still optional. The sequence ID is included in the apply output table by default if the input data is transactional.
ApplyContentOptionItem(Attribute, ApplyResultContentOption) - Constructor for class oracle.dmt.odm.result.ApplyContentOptionItem
Deprecated. Constructs an instance of ApplyContentOptionItem with the specified ApplyResultContentOption.
ApplyMultipleScoringItem - class oracle.dmt.odm.result.ApplyMultipleScoringItem.
An instance of ApplyMultipleScoringItem is an element to construct a MiningApplyOutput object that is used as specification of the apply output.
ApplyMultipleScoringItem(Attribute, Attribute) - Constructor for class oracle.dmt.odm.result.ApplyMultipleScoringItem
Creates an instance of ApplyMultipleScoringItem object with all score/probability pairs and the destination columns to appear in the apply output table.
ApplyMultipleScoringItem(Attribute, Attribute, int) - Constructor for class oracle.dmt.odm.result.ApplyMultipleScoringItem
Creates an instance of ApplyMultipleScoringItem object with the number of top n score/probability pairs and the destination columns to appear in the apply output table.
ApplyMultipleScoringItem(Attribute, Attribute, int, boolean) - Constructor for class oracle.dmt.odm.result.ApplyMultipleScoringItem
Creates an instance of ApplyMultipleScoringItem with the number of score/probability pairs to be predicted, the destination columns to appear in the output table, and the indicator as to whether to choose from the top or the bottom.
ApplyResultContentOption - class oracle.dmt.odm.ApplyResultContentOption.
Deprecated. As of ODM 9.2.0, no longer used due to deprecation of ApplyContentOptionItem.
ApplySourceAttributeItem - class oracle.dmt.odm.result.ApplySourceAttributeItem.
An instance of ApplySourceAttributeItem is used to construct a MiningApplyOutput object used for the apply mining operation.
ApplySourceAttributeItem(MiningAttribute, Attribute) - Constructor for class oracle.dmt.odm.result.ApplySourceAttributeItem
Creates an instance of ApplySourceAttributeItem with the specified source attribute and destination attribute.
ApplyTargetProbabilityItem - class oracle.dmt.odm.result.ApplyTargetProbabilityItem.
An instance of ApplyTargetProbabilityItem contains a set of target values whose prediction and probability are to appear in the apply output table, regardless rank.
ApplyTargetProbabilityItem(Attribute, Attribute, Attribute) - Constructor for class oracle.dmt.odm.result.ApplyTargetProbabilityItem
Creates an empty instance of ApplyTargetProbabilityItem.
aPrioriAssociationRules - Static variable in class oracle.dmt.odm.MiningAlgorithm
Specifies the A Priori algorithm for Association Rules.
ASSIGN - Static variable in class oracle.dmt.odm.AccessData
 
associationRules - Static variable in class oracle.dmt.odm.MiningFunction
Specifies the Association Rules mining function.
AssociationRulesFunctionSettings - class oracle.dmt.odm.settings.function.AssociationRulesFunctionSettings.
An instance of AssociationRulesFunctionSettings describes settings for an association rules model.
AssociationRulesFunctionSettings(float, float, int, LogicalDataSpecification, DataUsageSpecification) - Constructor for class oracle.dmt.odm.settings.function.AssociationRulesFunctionSettings
Creates an instance of association rules function settings with the specified parameters.
AssociationRulesFunctionSettings(float, float, int, LogicalDataSpecification, DataUsageSpecification, MiningAlgorithmSettings) - Constructor for class oracle.dmt.odm.settings.function.AssociationRulesFunctionSettings
Deprecated. As of ODM 9.2.0. Mining algorithm settings is not required to build an association rules model. Use other constructor.
AssociationRulesFunctionSettings(float, float, LogicalDataSpecification, DataUsageSpecification) - Constructor for class oracle.dmt.odm.settings.function.AssociationRulesFunctionSettings
Creates an instance of association rules function settings with the specified parameters.
AssociationRulesModel - class oracle.dmt.odm.model.AssociationRulesModel.
The abstract class AssociationRulesModel is a Java representation of the association rules model.
Attribute - class oracle.dmt.odm.data.Attribute.
An instance of Attribute maps to a column with a name and datatype.
Attribute(String, DataType) - Constructor for class oracle.dmt.odm.data.Attribute
Creates an attribute with specified name and data type.
AttributeDiscretization - class oracle.dmt.odm.transformation.AttributeDiscretization.
The abstruct class AttributeDiscretization specifies the discretization values of a particular attribute.
AttributeDiscretization() - Constructor for class oracle.dmt.odm.transformation.AttributeDiscretization
 
AttributeHistogram - class oracle.dmt.odm.AttributeHistogram.
An instance of AttributeHistogram contains metadata used to describe one-dimensional (single attribute) histograms.
AttributeHistogram(MiningAttribute, Vector, Vector) - Constructor for class oracle.dmt.odm.AttributeHistogram
Creates an AttributeHistogram object for a given attribute.
AttributeHistogramEntry - class oracle.dmt.odm.AttributeHistogramEntry.
For internal use only.
AttributeHistogramEntry(Category, int) - Constructor for class oracle.dmt.odm.AttributeHistogramEntry
Creates an AttributeHistogramEntry objet with the fields set to value in the parameter list
attributeImportance - Static variable in class oracle.dmt.odm.MiningFunction
Specifies the Attribute Importance function.
AttributeImportanceAlgorithmSettings - class oracle.dmt.odm.settings.algorithm.AttributeImportanceAlgorithmSettings.
The abstract class AttributeImportanceAlgorithmSettings is the common superclass of all attribute importance algorithms and is used to specify parameters specific to Attribute Importance algorithms.
AttributeImportanceAlgorithmSettings() - Constructor for class oracle.dmt.odm.settings.algorithm.AttributeImportanceAlgorithmSettings
Creates an instance of attribute importance algorithm settings.
AttributeImportanceEntry - class oracle.dmt.odm.model.AttributeImportanceEntry.
An instance of AttributeImortanceEntry class represents an attribute with its importance found by running an attribute importance algorithm.
AttributeImportanceEntry(String, float, int) - Constructor for class oracle.dmt.odm.model.AttributeImportanceEntry
Internal use only.
Creates an instance of AttributeImportanceEntry, given the attribute name, importance value, and rank.
AttributeImportanceFunctionSettings - class oracle.dmt.odm.settings.function.AttributeImportanceFunctionSettings.
An instance of AttributeImportanceFunctionSettings describes the settings for Attribute Importance function that captures the high-level specification for building an attribute importance model.
AttributeImportanceFunctionSettings(LogicalDataSpecification, DataUsageSpecification) - Constructor for class oracle.dmt.odm.settings.function.AttributeImportanceFunctionSettings
Creates an instance of attribute importance function settings.
AttributeImportanceFunctionSettings(LogicalDataSpecification, DataUsageSpecification, AttributeImportanceAlgorithmSettings) - Constructor for class oracle.dmt.odm.settings.function.AttributeImportanceFunctionSettings
Creates an instance of attribute importance function settings.
AttributeImportanceModel - class oracle.dmt.odm.model.AttributeImportanceModel.
The abstract class AttributeImportanceModel is a Java representation of the attribute importance model.
AttributeInstance - class oracle.dmt.odm.data.AttributeInstance.
An instance of AttributeInstance supports providing named and typed values as input for various functions.
AttributeInstance(String, float) - Constructor for class oracle.dmt.odm.data.AttributeInstance
Constructs a float instance with the specified name and value.
AttributeInstance(String, int) - Constructor for class oracle.dmt.odm.data.AttributeInstance
Constructs an integer instance with the specified name and value.
AttributeInstance(String, String) - Constructor for class oracle.dmt.odm.data.AttributeInstance
Constructs a string instance with the specified name and value.
AttributeType - class oracle.dmt.odm.AttributeType.
The enumeration class AttributeType is used to specify whether a mining attribute is categorical or numerical.
AttributeUsage - class oracle.dmt.odm.AttributeUsage.
The enumeration class AttributeUsage is used to specify how an attribute is used for a mining operation.

B

BooleanOperator - class oracle.dmt.odm.BooleanOperator.
The enumeration class BooleanOperator is used to specify the boolean operator that is used in a CompoundPredicate instance.
BooleanPredicate - class oracle.dmt.odm.rule.BooleanPredicate.
An instance of BooleanPredicate always returns the value TRUE.
BooleanPredicate() - Constructor for class oracle.dmt.odm.rule.BooleanPredicate
For internal use only
booleanType - Static variable in class oracle.dmt.odm.DataType
Boolean data type
build(Connection, LocationAccessData, PhysicalDataSpecification, String, String) - Static method in class oracle.dmt.odm.model.MiningModel
Deprecated. As of ODM 9.2.0. Use MiningBuildTask to build a mining model.

C

categorical - Static variable in class oracle.dmt.odm.AttributeType
Identifies a MiningAttribute as categorical.
CategoricalDiscretization - class oracle.dmt.odm.transformation.CategoricalDiscretization.
Associated with an attribute CategoricalDiscretization allows a user to specify category groups or use automated discretization (binning) involving the N most frequent items.
CategoricalDiscretization(CategoryGroup[]) - Constructor for class oracle.dmt.odm.transformation.CategoricalDiscretization
Creates a CategoricalDiscretization instance with the specified category groups.
CategoricalDiscretization(int, String) - Constructor for class oracle.dmt.odm.transformation.CategoricalDiscretization
Creates a CategoricalDiscretization instance with topNFrequencies and the "Other" category name.
Category - class oracle.dmt.odm.Category.
An instance of Category represents a value of a categorical attribute, for example, the value "blue" of attribute "color", or number "5" of the attribute "rating".
Category(boolean) - Constructor for class oracle.dmt.odm.Category
Creates a boolean Category instance with display name set to the string representation of the boolean, "TRUE" or "FALSE".
Category(float) - Constructor for class oracle.dmt.odm.Category
Creates a float Category instance with display name set to the string representation of the float.
Category(int) - Constructor for class oracle.dmt.odm.Category
Creates an int Category instance with display name set to the string representation of the int.
Category(String) - Constructor for class oracle.dmt.odm.Category
Creates a string Category instance with display name set to the value.
Category(String, DataType) - Constructor for class oracle.dmt.odm.Category
Creates a Category instance accepting the value as a string with the data type is used for the display name.
Category(String, float) - Constructor for class oracle.dmt.odm.Category
Creates a float Category instance with the provided display name.
Category(String, int) - Constructor for class oracle.dmt.odm.Category
Creates an int Category instance with the provided display name.
Category(String, String) - Constructor for class oracle.dmt.odm.Category
Creates a string Category instance with the provided display name.
Category(String, String, DataType) - Constructor for class oracle.dmt.odm.Category
Creates a Category instance with the provided display name value and data type.
CategoryGroup - class oracle.dmt.odm.transformation.CategoryGroup.
An instance of class CategoryGroup allows grouping of similar categories.
CategoryGroup(int, String) - Constructor for class oracle.dmt.odm.transformation.CategoryGroup
Creates a category group with the specified group ID and list of categories.
CategoryGroup(int, String, Category[]) - Constructor for class oracle.dmt.odm.transformation.CategoryGroup
Creates a category group with the specified group ID and list of categories.
CategoryMatrix - class oracle.dmt.odm.CategoryMatrix.
An instance of CategoryMatrix represents a sparse square matrix whose axes are categories.
CategoryMatrix() - Constructor for class oracle.dmt.odm.CategoryMatrix
Creates an empty instance of CategoryMatrix.
CategoryMatrixEntry - class oracle.dmt.odm.CategoryMatrixEntry.
For internal use only.
charType - Static variable in class oracle.dmt.odm.DataType
Character data type
classification - Static variable in class oracle.dmt.odm.MiningFunction
Specifies the Classification mining function.
ClassificationFunctionSettings - class oracle.dmt.odm.settings.function.ClassificationFunctionSettings.
An instance of ClassificationFunctionSettings describes the settings necessary to build a classification model.
ClassificationFunctionSettings(float, LogicalDataSpecification, DataUsageSpecification) - Constructor for class oracle.dmt.odm.settings.function.ClassificationFunctionSettings
Deprecated. As of ODM 9.2.0. The parameter accuracy is not supported. Use other constructor without accuracy parameter.
ClassificationFunctionSettings(float, LogicalDataSpecification, DataUsageSpecification, MiningAlgorithmSettings) - Constructor for class oracle.dmt.odm.settings.function.ClassificationFunctionSettings
Deprecated. As of ODM 9.2.0. The parameter accuracy is not supported. Use other constructor without accuracy parameter.
ClassificationFunctionSettings(LogicalDataSpecification, DataUsageSpecification) - Constructor for class oracle.dmt.odm.settings.function.ClassificationFunctionSettings
Creates an instance of ClassificationFunctionSettings object.
ClassificationFunctionSettings(LogicalDataSpecification, DataUsageSpecification, MiningAlgorithmSettings) - Constructor for class oracle.dmt.odm.settings.function.ClassificationFunctionSettings
Creates an instance of ClassificationFunctionSettings object.
ClassificationTestResult - class oracle.dmt.odm.result.ClassificationTestResult.
An instance of ClassificationTestResult represents the result of the test operation for a classification model.
ClassificationTestTask - class oracle.dmt.odm.task.ClassificationTestTask.
An instance of ClassificationTestTask is used for testing a model on test data.
ClassificationTestTask(PhysicalDataSpecification, String, String) - Constructor for class oracle.dmt.odm.task.ClassificationTestTask
Creates an instance of test task from the given test data, the model to which the test data is applied, and the location of the test output.
close() - Method in interface oracle.dmt.odm.rule.MiningRuleSet
Closes the connection and other JDBC related objects.
closeJMS() - Method in class oracle.dmt.odm.ODMConnection
 
Cluster - class oracle.dmt.odm.model.Cluster.
An instance of Cluster holds the metadata about a cluster in a CluteringModel.
ClusterCentroid - class oracle.dmt.odm.model.ClusterCentroid.
An instance of ClusterCentroid holds metadata about the centroid of a cluster.
ClusterCentroidEntry - class oracle.dmt.odm.model.ClusterCentroidEntry.
An instance of ClusterCentroidEntry contains one attribute and value pair for a cluster centroid.
clustering - Static variable in class oracle.dmt.odm.MiningFunction
Specifies the Clustering mining function.
ClusteringAlgorithmSettings - class oracle.dmt.odm.settings.algorithm.ClusteringAlgorithmSettings.
An instance of ClusteringAlgorithmSettings is used to specify optional parameters common to clustering algorithm.
ClusteringFunctionSettings - class oracle.dmt.odm.settings.function.ClusteringFunctionSettings.
An instance of ClusteringFunctionSettings holds metadata for required settings common to all clustering algorithms.
ClusteringFunctionSettings(int, LogicalDataSpecification, DataUsageSpecification) - Constructor for class oracle.dmt.odm.settings.function.ClusteringFunctionSettings
Creates a ClusteringFunctionSettings object using the default clustering MiningAlgorithmSettings.
ClusteringFunctionSettings(int, LogicalDataSpecification, DataUsageSpecification, ClusteringAlgorithmSettings) - Constructor for class oracle.dmt.odm.settings.function.ClusteringFunctionSettings
Creates a ClusteringFunctionSettings object using the clustering MiningAlgorithmSettings specified by mas.
ClusteringModel - class oracle.dmt.odm.model.ClusteringModel.
An instance of ClusteringModel holds the metadata of the result of a trained clustering model.
ClusteringStoppingCriterion - class oracle.dmt.odm.ClusteringStoppingCriterion.
The enumeration class ClusteringStoppingCriterion is used to represent the following stopping criteria used by clustering models:
combinationAdaptiveBayesNetwork - Static variable in class oracle.dmt.odm.MiningAlgorithm
Specifies the Combination Adaptive Bayes Network algorithm for Model Seeker.
CombinationAdaptiveBayesNetworkSettings - class oracle.dmt.odm.settings.algorithm.CombinationAdaptiveBayesNetworkSettings.
An instance of CombinationAdaptiveBayesNetworkSettings is used to specify multiple settings for the Adaptive Bayes Network algorithm to be used by Model Seeker.
CombinationAdaptiveBayesNetworkSettings(int[]) - Constructor for class oracle.dmt.odm.settings.algorithm.CombinationAdaptiveBayesNetworkSettings
Creates a CombinationAdaptiveBayesNetworkSettings object.
CombinationModelSettings - class oracle.dmt.odm.settings.algorithm.CombinationModelSettings.
The abstract class CombinationModelSettings is the common super class for the algorithm settings that specify model combinations of a single type.
The following sub-classes of CombinationModelSettings are supported:
CombinationNaiveBayesSettings and
CombinationAdaptiveBayesNetworkSettings.
combinationNaiveBayes - Static variable in class oracle.dmt.odm.MiningAlgorithm
Specifies the Combination Naive Bayes algorithm for Model Seeker.
CombinationNaiveBayesSettings - class oracle.dmt.odm.settings.algorithm.CombinationNaiveBayesSettings.
An instance of CombinationNaiveBayesSettings is used to specify multiple settings for the Naive Bayes algorithm to be used by Model Seeker.
CombinationNaiveBayesSettings(PairCombinationsOption, float[], float[]) - Constructor for class oracle.dmt.odm.settings.algorithm.CombinationNaiveBayesSettings
Creates a CombinationNaiveBayesSettings object.
ComparisonFunction - class oracle.dmt.odm.ComparisonFunction.
The enumeration class ComparisonFunction is used to specify the comparison function for the Predicate interface.
CompleteMultiFeature - Static variable in class oracle.dmt.odm.ABNModelBuildState
 
CompleteSingleFeature - Static variable in class oracle.dmt.odm.ABNModelBuildState
 
COMPONENT_NAME - Static variable in class oracle.dmt.odm.version.ODMVersion
Deprecated.  
CompoundPredicate - class oracle.dmt.odm.rule.CompoundPredicate.
An instance of CompundPredicate is a set of predicates connected by logical operators.
CompoundPredicate() - Constructor for class oracle.dmt.odm.rule.CompoundPredicate
For internal use only
computeLift(Connection, int, LocationAccessData, PhysicalDataSpecification, int, String, String) - Static method in class oracle.dmt.odm.model.SupervisedModel
Deprecated. As of ODM 9.2.0. Use MiningLiftTask to perform the compute lift mining operation.
ConditionalProbabilityExpression - class oracle.dmt.odm.model.ConditionalProbabilityExpression.
An instance of ConditionalProbabilityExpression contains the probability of a consequent conditioned on an array of antecedent values.
ConditionalProbabilityExpression() - Constructor for class oracle.dmt.odm.model.ConditionalProbabilityExpression
 
confidence - Static variable in class oracle.dmt.odm.RuleAnnotationType
Specifies the confidence associated with the rule.
confidence - Static variable in class oracle.dmt.odm.RuleSortCriteria
Sort by the confidence associated with each rule in the rule set.
Connection - interface oracle.dmt.odm.Connection.
The interface Connection defines methods to communicate with a Data Mining Server (DMS) in an Oracle 9i database.
create(Connection, AttributeImportanceAlgorithmSettings, PhysicalDataSpecification, String, AttributeType, DataPreparationStatus) - Static method in class oracle.dmt.odm.settings.function.AttributeImportanceFunctionSettings
Creates an instance of AttributeImportanceFunctionSettings from the specified parameters.
create(Connection, MiningAlgorithmSettings, PhysicalDataSpecification, DataPreparationStatus, int, String[], String[], String[]) - Static method in class oracle.dmt.odm.settings.function.ClusteringFunctionSettings
This method is a utility function allowing user to create and populate ClusteringFunctionSettings in one step.
create(Connection, MiningAlgorithmSettings, PhysicalDataSpecification, String, AttributeType, DataPreparationStatus) - Static method in class oracle.dmt.odm.settings.function.ClassificationFunctionSettings
Creates an instance of ClassificationFunctionSettings from the specified parameters.
create(Connection, PhysicalDataSpecification) - Static method in class oracle.dmt.odm.data.LogicalDataSpecification
Creates an instance of LogicalDataSpecification with the default settings based on the database table specified in the input.
create(Connection, PhysicalDataSpecification, DataPreparationStatus, float, float, int) - Static method in class oracle.dmt.odm.settings.function.AssociationRulesFunctionSettings
Creates an instance of AssociationRulesFunctionSettings from the specified parameters.
create(LogicalDataSpecification, AttributeUsage, DataPreparationStatus) - Static method in class oracle.dmt.odm.settings.function.DataUsageSpecification
Creates a DataUsageSpecification instance with the specified LogicalDataSpecification, default AttributeUsage, and default DataPreparationStatus for all attributes in the LogicalDataSpecification.
create(LogicalDataSpecification, AttributeUsage, DataPreparationStatus, String) - Static method in class oracle.dmt.odm.settings.function.DataUsageSpecification
Creates a DataUsageSpecification instance with the specified LogicalDataSpecification, default AttributeUsage, default DataPreparationStatus, and the target attribute.
create(MiningAttribute[]) - Static method in class oracle.dmt.odm.settings.function.DataUsageSpecification
Deprecated. As of ODM 9.2.0. Use other create methods.
create(MiningAttribute[], int, int, String) - Static method in class oracle.dmt.odm.transformation.DiscretizationSpecification
Creates an array of DiscretizationSpecification objects for the provided attributes.
create(String, String, String, String, String, PhysicalDataSpecification) - Static method in class oracle.dmt.odm.data.LogicalDataSpecification
Deprecated. As of ODM 9.2.0. Use other create method.
createDefault() - Static method in class oracle.dmt.odm.result.MiningApplyOutput
Creates a default apply output settings.
createDefault(MiningAttribute) - Static method in class oracle.dmt.odm.result.MiningApplyOutput
Creates a default apply output settings with a source column that is provided by the user.
createDefault(String, String) - Static method in class oracle.dmt.odm.result.MiningApplyOutput
Creates a default apply output settings by which an apply output table is created with the specified attribute names The resulting apply output table will contain the top score and its associated probability.
createDiscretizationTables(Connection, LocationAccessData, PhysicalDataSpecification, DiscretizationSpecification[], String, String, String) - Static method in class oracle.dmt.odm.transformation.Transformation
Creates discretization tables for the specified data table.
createPhysicalTables(Connection, String, String, String) - Static method in class oracle.dmt.odm.transformation.Transformation
 
createTargetDUS(MiningAttribute) - Static method in class oracle.dmt.odm.settings.function.DataUsageSpecification
Returns a DataUsageSpecification instance with the specified attribute as a target attribute.
crossProduct - Static variable in class oracle.dmt.odm.PairCombinationsOption
 
CrossValidateTask - class oracle.dmt.odm.task.CrossValidateTask.
An instance of CrossValidateTask provides an additional technique for measuring the accuracy of a predictive model.
CrossValidateTask(PhysicalDataSpecification, String, String) - Constructor for class oracle.dmt.odm.task.CrossValidateTask
Creates an instance of test task from the given test data, the model to which the test data is applied, and the location of the test output.

D

DataFormatType - class oracle.dmt.odm.DataFormatType.
The enumeration class DataFormatType indicates if the phisical data is in transactional form.
DataMiningServer - class oracle.dmt.odm.DataMiningServer.
An instance of DataMiningServer is used as a proxy to create connections to a Data Mining Server.
DataMiningServer(String, String, String) - Constructor for class oracle.dmt.odm.DataMiningServer
Creates a Data Mining Server with specified information.
DataMiningServer(String, String, String, Locale) - Constructor for class oracle.dmt.odm.DataMiningServer
Creates a Data Mining Server with specified information.
DataPreparationStatus - class oracle.dmt.odm.DataPreparationStatus.
The enumeration class DataPreparationStatus indicates whether the attribute has already been preprocessed.
DataType - class oracle.dmt.odm.DataType.
The enumeration class DataType is used to specify whether the data type of an attribute is integer, float, character, or string.
DataUsageEntry - class oracle.dmt.odm.settings.function.DataUsageEntry.
An instance of DataUsageEntry specifies how to use a particular mining attribute in the LogicalDataSpecification of a given MiningFunctionSettings
DataUsageEntry(MiningAttribute, AttributeUsage) - Constructor for class oracle.dmt.odm.settings.function.DataUsageEntry
Creates a DataUsageEntry for the mining attribute with the specified usage type.
DataUsageEntry(MiningAttribute, AttributeUsage, DataPreparationStatus) - Constructor for class oracle.dmt.odm.settings.function.DataUsageEntry
Creates a DataUsageEntry for the mining attribute with the specified usage type and preparation status.
DataUsageSpecification - class oracle.dmt.odm.settings.function.DataUsageSpecification.
An instance of DataUsageSpecification is used to specify how the attributes in a LogicalDataSpecification instance are used for building a mining model.
DataUsageSpecification() - Constructor for class oracle.dmt.odm.settings.function.DataUsageSpecification
Creates a DataUsageSpecification instance with no data usage entries specified.
DELIMITER - Static variable in class oracle.dmt.odm.AccessData
 
deserialize(byte[]) - Static method in class oracle.dmt.odm.DataFormatType
 
deserialize(byte[]) - Static method in class oracle.dmt.odm.LocationAccessData
For internal use only.
deserialize(byte[]) - Static method in class oracle.dmt.odm.LocatableObject
 
deserialize(byte[]) - Static method in class oracle.dmt.odm.data.PhysicalDataSpecification
For internal use only.
deserialize(byte[]) - Static method in class oracle.dmt.odm.result.MiningApplyOutput
For internal use only.
DiscretizationSpecification - class oracle.dmt.odm.transformation.DiscretizationSpecification.
An instance of DiscretizationSpecification contains discretization details for a single attribute.
DiscretizationSpecification(String, AttributeDiscretization) - Constructor for class oracle.dmt.odm.transformation.DiscretizationSpecification
Creates a DiscretizationSpecification object.
discretize(Connection, LocationAccessData, PhysicalDataSpecification, String, String, String, LocationAccessData) - Static method in class oracle.dmt.odm.transformation.Transformation
Deprecated. As of ODM 9.2.0. Use other discretize method.
discretize(Connection, LocationAccessData, PhysicalDataSpecification, String, String, String, LocationAccessData) - Static method in class oracle.dmt.odm.transformation.Transformation
Creates a view in the specified location using the discretization tables provided as input.
discretize(Connection, LocationAccessData, PhysicalDataSpecification, String, String, String, LocationAccessData, boolean) - Static method in class oracle.dmt.odm.transformation.Transformation
Creates a view in the specified location using the discretization tables provided as input.
discretized - Static variable in class oracle.dmt.odm.DataPreparationStatus
 
DistanceFunction - class oracle.dmt.odm.DistanceFunction.
The enumeration class DistanceFunction is used to represent the following distance functions used by clustering models:

E

Enum - class oracle.dmt.odm.Enum.
This abstract class is used to implement enumerations.
equal - Static variable in class oracle.dmt.odm.ComparisonFunction
Specifies the EQUAL comparison function.
equals(Attribute) - Method in class oracle.dmt.odm.data.Attribute
Compares two attributes.
equals(Category) - Method in class oracle.dmt.odm.Category
Returns true if both categories have the same display name and value.
equals(LogicalDataSpecification) - Method in class oracle.dmt.odm.data.LogicalDataSpecification
Checks the equality of two logical data specifications.
equals(MiningAttribute) - Method in class oracle.dmt.odm.data.MiningAttribute
Checks the equality of this attribute against the specified attribute.
error - Static variable in class oracle.dmt.odm.MiningTaskState
If the task execution fails.
error - Static variable in class oracle.dmt.odm.ClusteringStoppingCriterion
Specifies the error stopping criterion.
errorAndIterations - Static variable in class oracle.dmt.odm.ClusteringStoppingCriterion
Specifies the errorAndIterations stopping criterion.
euclidean - Static variable in class oracle.dmt.odm.DistanceFunction
Specifies the euclidean distance function.
exactMatch - Static variable in class oracle.dmt.odm.LocationEqualityLevel
LocationAcessData instances are equal if all attribues are exact matches.
execute(Connection) - Method in class oracle.dmt.odm.task.MiningTask
Submits the mining task for asynchronous execution in the DMS.
executing - Static variable in class oracle.dmt.odm.MiningTaskState
Task is getting excuted in the DMS.

F

floatType - Static variable in class oracle.dmt.odm.DataType
Float data type

G

ge - Static variable in class oracle.dmt.odm.ComparisonFunction
Specifies the GREATER EQUAL comparison function.
getAccuracy() - Method in class oracle.dmt.odm.result.ClassificationTestResult
Returns the computed accuracy of the model on the test data.
getActiveAttributes() - Method in class oracle.dmt.odm.settings.function.AssociationRulesFunctionSettings
Returns an array of active mining attributes in this function settings.
getActiveAttributes() - Method in class oracle.dmt.odm.settings.function.ClusteringFunctionSettings
Returns the list of active attributes in this MFS.
getAlgorithmName() - Method in class oracle.dmt.odm.result.MiningBuildResult
Returns name of the algorithm used to build this model.
getAnnotationType() - Method in class oracle.dmt.odm.rule.RuleAnnotation
Returns the rule annotation type.
getAntecedent() - Method in class oracle.dmt.odm.rule.MiningRule
Returns the antecendent of the mining rule.
getAntecedentMiningAttribute() - Method in class oracle.dmt.odm.model.ConditionalProbabilityExpression
Returns an array of antecedent MiningAttributes.
getAntecedentTableName() - Method in class oracle.dmt.odm.model.AssociationRulesModel
Returns the rules table name that contains the antecedents of the rules found in this instance of assocication rules model.
getApplyContentOptionItems() - Method in class oracle.dmt.odm.result.MiningApplyOutput
Returns an array of ApplyContentOptionItem objects contained in this object.
getApplyMultipleScoringItems() - Method in class oracle.dmt.odm.result.MiningApplyOutput
Returns an array of ApplyMultipleScoringItem objects contained in this object.
getApplyOutput() - Method in class oracle.dmt.odm.task.MiningApplyTask
Returns the apply output specification used in performing the apply operation.
getApplyOutputContentItems() - Method in class oracle.dmt.odm.result.MiningApplyOutput
Returns an array of ApplyContentItem objects contained in this object.
getApplyOutputTableName() - Method in class oracle.dmt.odm.result.MiningApplyResult
Returns the apply output table name represented by this apply result.
getApplyResultContentOption() - Method in class oracle.dmt.odm.result.ApplyContentOptionItem
Deprecated. Returns the kind of apply result content option as the enumeration ApplyResultContentOption.
getApplyResultName() - Method in class oracle.dmt.odm.task.MiningApplyTask
Returns the apply result name.
getApplySourceAttributes() - Method in class oracle.dmt.odm.result.MiningApplyOutput
Returns an array of ApplySourceAttributeItem objects contained in this object.
getApplyTargetProbabilityItems() - Method in class oracle.dmt.odm.result.MiningApplyOutput
Returns the array of ApplyTargetProbabilityItem objects contained to this object.
getAttribute() - Method in class oracle.dmt.odm.AttributeHistogram
Returns the MiningAttribute associated with the histogram.
getAttribute() - Method in class oracle.dmt.odm.settings.function.DataUsageEntry
Returns the mining attribute instance associated with this DataUsageEntry.
getAttribute() - Method in class oracle.dmt.odm.model.ClusterCentroidEntry
Returns the attribute of a ClusterCentroidEntry.
getAttributeAttribute() - Method in class oracle.dmt.odm.data.TransactionalDataSpecification
Returns an attribute to be used as attribute identifier.
getAttributeHistogram(Connection, int, String) - Method in class oracle.dmt.odm.model.ClusteringModel
Returns, for the MiningAttribute specified by attrName, the AttributeHistogram for the cluster identified by clusterID.
getAttributeHistogram(Connection, String) - Method in class oracle.dmt.odm.model.Cluster
Returns the one-dimensional histogram of the attribute specified by attrName.
getAttributeImportanceEntries() - Method in class oracle.dmt.odm.model.AttributeImportanceModel
Returns all AttributeImportanceEntry objects in the model, each of which contains an attribute name, its importance value, and its rank.
getAttributeImportanceTableName() - Method in class oracle.dmt.odm.model.AttributeImportanceModel
Returns the table name where each row contains an attribute name, its importance value, and its rank.
getAttributeImportanceTableName(Connection, String) - Static method in class oracle.dmt.odm.model.AttributeImportanceModel
Returns the table name where each row contains a attribute name, its importance value, and its rank.
getAttributeName() - Method in class oracle.dmt.odm.model.AttributeImportanceEntry
Returns the name of the attribute.
getAttributes(AttributeImportanceEntry[]) - Method in class oracle.dmt.odm.model.AttributeImportanceModel
Returns an array of attribute names that correspond to the specified array of AttributeImportanceEntry objects
getAttributesByImportance(Connection, String, float, boolean) - Static method in class oracle.dmt.odm.model.AttributeImportanceModel
Returns an array of attribute names based on the threshold specified for attribute importance value, given the connection to the data mining server and the model name.
getAttributesByImportance(Connection, String, float, float) - Static method in class oracle.dmt.odm.model.AttributeImportanceModel
Returns an array of attribute names whose importance values fall in the specified range, given the connection to the data mining server and the model name.
getAttributesByPercentage(Connection, String, float, boolean) - Static method in class oracle.dmt.odm.model.AttributeImportanceModel
Returns an array of attribute names whose importance ranks fall in the specified percentile, given the connection to the data mining server and the model name.
getAttributesByRank(Connection, String, int, boolean) - Static method in class oracle.dmt.odm.model.AttributeImportanceModel
Returns an array of attribute names based on the threshold specified for attribute importance rank, given the connection to the data mining server and the model name.
getAttributesByRank(Connection, String, int, int) - Static method in class oracle.dmt.odm.model.AttributeImportanceModel
Returns an array of attribute names whose importance ranks fall in the specified range, given the connection to the data mining server and the model name.
getAttributeSetByImportance(Connection, String, float, boolean) - Static method in class oracle.dmt.odm.model.AttributeImportanceModel
Returns an array of AttributeImportanceEntry objects based on the threshold specified for attribute importance value, given the connection to the data mining server and the model name.
getAttributeSetByPercentage(Connection, String, float, boolean) - Static method in class oracle.dmt.odm.model.AttributeImportanceModel
Returns an array of attribute importance entries whose importance ranks fall in the specified percentile, given the connection to the data mining server and the model name.
getAttributeSetByRank(Connection, String, int, boolean) - Static method in class oracle.dmt.odm.model.AttributeImportanceModel
Returns an array of attribute importance entries based on the threshold specified for attribute importance rank, given the connection to the data mining server and the model name.
getAttributeType() - Method in class oracle.dmt.odm.data.MiningAttribute
Returns the type of this attribute.
getAttributeValue() - Method in class oracle.dmt.odm.AttributeHistogramEntry
Returns the attribute value associated with the histogram bin
getAverageNumberOfItemsPerTransaction() - Method in class oracle.dmt.odm.model.AssociationRulesModel
Returns the average number of items per transaction in the data used to build this instance of assocication rules model.
getBestModelIndex() - Method in class oracle.dmt.odm.result.ModelSeekerResult
Returns the index corresponding to the best model.
getBinCategoricalTableName() - Method in class oracle.dmt.odm.model.MiningModel
Returns the bin boundaries table name for categorical attributes of the input data.
getBinId() - Method in class oracle.dmt.odm.transformation.NumericalBin
Returns the bin identifier.
getBinningDetails() - Method in class oracle.dmt.odm.transformation.DiscretizationSpecification
Returns the attribute binning details.
getBinNumericTableName() - Method in class oracle.dmt.odm.model.MiningModel
Returns the bin boundaries table name for numerical attributes of the input data.
getBooleanOperator() - Method in class oracle.dmt.odm.rule.CompoundPredicate
Returns the BooleanOperator.
getBuildDuration() - Method in class oracle.dmt.odm.result.ModelSeekerResultEntry
Returns the number of milliseconds needed to build this entry's model.
getBuildPDS() - Method in class oracle.dmt.odm.task.ModelSeekerTask
Returns the PhysicalDataSpecification object used to build the model.
getCategories() - Method in class oracle.dmt.odm.transformation.CategoryGroup
Returns the list (array) of categories belonging to this group.
getCategoryGroups() - Method in class oracle.dmt.odm.transformation.CategoricalDiscretization
Returns the list of categoryGroups in the categorical discretization.
getChildren() - Method in class oracle.dmt.odm.model.Cluster
Returns the collection of Cluster objects that are children of the cluster node.
getChildren() - Method in class oracle.dmt.odm.model.TreeNode
Returns the array of child TreeNodes associated with this tree node.
getClassificationFunctionSettingsName() - Method in class oracle.dmt.odm.result.ModelSeekerResultEntry
Returns the name of the ClassificationFunctionSettings object used to build this entry's model.
getClusterCentroid() - Method in class oracle.dmt.odm.model.Cluster
Returns the ClusterCentroid object associated with a cluster.
getClusterCentroidValue(MiningAttribute) - Method in class oracle.dmt.odm.model.Cluster
Returns the attribute value of the cluster centroid for a given mining attribute.
getClusterRules(Connection) - Method in class oracle.dmt.odm.model.ClusteringModel
Returns a MiningRuleSet with rules representing the ClusteringModel's clusters.
getClusterRules(Connection, int) - Method in class oracle.dmt.odm.model.ClusteringModel
Returns a MiningRuleSet with rules, with at most maxNumberRuleAttribute antecedents, representing the ClusteringModel's clusters.
getClusters(Connection) - Method in class oracle.dmt.odm.model.ClusteringModel
Returns a Vector of Cluster objects.
getColumnName() - Method in class oracle.dmt.odm.LocationCellAccessData
Returns column name.
getCompareFunction() - Method in class oracle.dmt.odm.rule.SimplePredicate
Returns the ComparisonFunction.
getCompletionTimestamp() - Method in class oracle.dmt.odm.result.MiningResult
Returns the completion time of the mining operation that created this mining result.
getComputeLiftResultName() - Method in class oracle.dmt.odm.result.ModelSeekerResultEntry
Returns the name of MiningLiftResult object for this entry's model.
getConditionalProbabilityExpressions() - Method in class oracle.dmt.odm.model.NetworkFeature
Returns the array of ConditionalProbabilityExpressions.
getConditionsTableName() - Method in class oracle.dmt.odm.model.SupervisedModel
Returns the name of the conditions table for this model.
getConfusionMatrix() - Method in class oracle.dmt.odm.result.ClassificationTestResult
Returns the confusion matrix.
getConsequent() - Method in class oracle.dmt.odm.rule.MiningRule
Returns the consequent of the mining rule.
getConsequentMiningAttribute() - Method in class oracle.dmt.odm.model.ConditionalProbabilityExpression
Returns the consequent MiningAttribute.
getCostMatrix() - Method in class oracle.dmt.odm.settings.function.ClassificationFunctionSettings
Returns the cost matrix set in this mining function settings.
getCostMatrixTableName() - Method in class oracle.dmt.odm.model.SupervisedModel
Returns the name of the cost matrix table for this model.
getCount() - Method in class oracle.dmt.odm.AttributeHistogramEntry
Returns the count associated with the histogram bin
getCount() - Method in class oracle.dmt.odm.model.ConditionalProbabilityExpression
Returns the count of entities meeting the antecedent and consequent conditions.
getCurrentStatus(Connection, String) - Static method in class oracle.dmt.odm.task.MiningTask
Returns the current status of the task.
getDataPreparationStatus() - Method in class oracle.dmt.odm.settings.function.DataUsageEntry
Returns the DataPreparationStatus enum value of the DataUsageEntry.
getDataType() - Method in class oracle.dmt.odm.Category
Returns the data type of the Category.
getDataType() - Method in class oracle.dmt.odm.data.Attribute
Returns the attribute data type.
getDataUsageEntries() - Method in class oracle.dmt.odm.settings.function.DataUsageSpecification
Returns an array of data usage entries contained in this DataUsageSpecification instance.
getDataUsageEntry(String) - Method in class oracle.dmt.odm.settings.function.DataUsageSpecification
Returns a DataUsageEntry instance associated with specifed named attribute.
getDataUsageSpecification() - Method in class oracle.dmt.odm.settings.function.MiningFunctionSettings
Returns the data usage specification of the function settings.
getDBConnection() - Method in interface oracle.dmt.odm.Connection
Returns the database connection from the connection instance.
getDBConnection() - Method in class oracle.dmt.odm.ODMConnection
For Internal Use only.
getDecisionTree(Connection, String) - Static method in class oracle.dmt.odm.model.AdaptiveBayesNetworkModel
Returns the array of TreeNodes forming a decision tree.
getDepth() - Method in class oracle.dmt.odm.model.ModelTimingRecord
Returns the depth of this NetworkFeature.
getDesiredAccuracy() - Method in class oracle.dmt.odm.settings.function.SupervisedFunctionSettings
Deprecated. The parameter accuracy is not used.
getDestinationAttribute() - Method in class oracle.dmt.odm.result.ApplyContentItem
Returns the destination attribute (i.e., a column in the apply output table) of this apply content item.
getDiagonalDefault() - Method in class oracle.dmt.odm.CategoryMatrix
Deprecated. As of ODM 9.2.0, this method is not supported.
getDisplayName() - Method in class oracle.dmt.odm.Category
Returns the display name of the Category.
getDisplayName() - Method in class oracle.dmt.odm.transformation.CategoryGroup
Returns the group display name.
getDisplayName() - Method in class oracle.dmt.odm.transformation.NumericalBin
Returns the display name.
getDisplayName(int) - Method in class oracle.dmt.odm.AttributeHistogram
Returns the display name for a bin in the histogram.
getDistanceFunction() - Method in class oracle.dmt.odm.settings.algorithm.KMeansAlgorithmSettings
Returns the DistanceFunction specified by a KMeansAlgorithmSettings object to train a K-Means ClusteringModel.
getDurationTime() - Method in class oracle.dmt.odm.result.MiningResult
Deprecated. As of 9.2.0, replaced by getExecutionDuration method.
getEnd() - Method in class oracle.dmt.odm.transformation.NumericalBin
Returns end value (high value) of the bin.
getEntries() - Method in class oracle.dmt.odm.model.ClusterCentroid
Returns a Vector of ClusterCentroidEntry objects.
getEntryValue(MiningAttribute) - Method in class oracle.dmt.odm.model.ClusterCentroid
Returns the centroid value and display name for a given MiningAttribute.
getEnum() - Method in class oracle.dmt.odm.Enum
This returns the current ID of the enumeration, which is set in the data member.
getErrorCode() - Method in class oracle.dmt.odm.ODMException
Returns the error code of the exception.
getEstimatedFeatureScoringTime() - Method in class oracle.dmt.odm.model.ModelTimingRecord
Returns an estimate of the time required to score the NetworkFeature if the NetworkFeature was not scored, otherwise it returns the actual scoring time.
getEstimateTimeToConstructAFeature(Connection, String) - Static method in class oracle.dmt.odm.model.AdaptiveBayesNetworkModel
Returns an estimate of the time required to construct a network feature in minutes.
getEvaluatePDS() - Method in class oracle.dmt.odm.task.ModelSeekerTask
Returns the PhysicalDataSpecification object used to test and calculate lift for the model.
getExcludedCategory() - Method in class oracle.dmt.odm.settings.function.AssociationRulesFunctionSettings
Returns the excluded categories.
getExecutionDuration() - Method in class oracle.dmt.odm.result.MiningResult
Returns the duration of which the mining operation executed to create this mining result.
getExecutionDuration(Connection, String) - Static method in class oracle.dmt.odm.task.MiningTask
Returns the duration of the execution of a succesfully completed task.
getExportModelLocation() - Method in class oracle.dmt.odm.task.ModelExportTask
Returns the export location cell of the mining model.
getFeatureNumber() - Method in class oracle.dmt.odm.model.ModelTimingRecord
Returns the NetworkFeature number.
getFeatureScoringTime() - Method in class oracle.dmt.odm.model.ModelTimingRecord
Returns the NetworkFeature scoring time.
getFigureOfMerit() - Method in class oracle.dmt.odm.result.ModelSeekerResultEntry
Returns the figure of merit for this entry's model.
getFloatValue() - Method in class oracle.dmt.odm.data.AttributeInstance
If data type is float, return the stored float value.
getFormat() - Method in class oracle.dmt.odm.data.PhysicalDataSpecification
Returns the data format type: transactional or non-transactional.
getFrequency(int) - Method in class oracle.dmt.odm.AttributeHistogram
Returns the frequency for a given bin in the histogram.
getFunctionName() - Method in class oracle.dmt.odm.result.MiningBuildResult
Returns name of the function used to build this model.
getGroupAttribute() - Method in class oracle.dmt.odm.data.TransactionalDataSpecification
Deprecated. As of 9.2.0, group identifier is not supported.
getGroupID() - Method in class oracle.dmt.odm.transformation.CategoryGroup
Returns the group identifier.
getId() - Method in class oracle.dmt.odm.model.Cluster
Returns the cluster id.
getID() - Method in class oracle.dmt.odm.Enum
This returns the current ID of the enumeration, which is set in the data member.
getImportanceValue() - Method in class oracle.dmt.odm.model.AttributeImportanceEntry
Returns the importance value of the attribute.
getImportModelLocation() - Method in class oracle.dmt.odm.task.ModelImportTask
Returns the import location cell of the mining model.
getInputDataRecordCount() - Method in class oracle.dmt.odm.model.ClusteringModel
Returns the number of input records used to train the clustering model.
getInputMiningData() - Method in class oracle.dmt.odm.result.MiningResult
Returns the location of the mining data from which this mining result was generated.
getInputModelName() - Method in class oracle.dmt.odm.task.MiningDataTask
Returns the name of the input model name of this task.
getInputModelName() - Method in class oracle.dmt.odm.task.ModelExportTask
Returns the input model name of the export mining task.
getInstance(int) - Static method in class oracle.dmt.odm.MiningTaskState
Returns a specified DataType instance.
getInstance(int) - Static method in class oracle.dmt.odm.MiningFunction
Returns an instance of MiningFunction enumeration that corresponds to the specified identifier.
getInstance(int) - Static method in class oracle.dmt.odm.DataFormatType
 
getInstance(int) - Static method in class oracle.dmt.odm.DataPreparationStatus
Returns DataPreparationStatus enumeration object corresponding to the specified id
getInstance(int) - Static method in class oracle.dmt.odm.UsageAdjustment
Returns an instance of UsageAdjustment enumeration that corresponds to the specified identifier.
getInstance(int) - Static method in class oracle.dmt.odm.ClusteringStoppingCriterion
Returns the ClusteringStoppingCriterion instance specified by id.
getInstance(int) - Static method in class oracle.dmt.odm.PairCombinationsOption
 
getInstance(int) - Static method in class oracle.dmt.odm.MiningStandardType
 
getInstance(int) - Static method in class oracle.dmt.odm.AttributeUsage
Returns AttributeUsage enumeration object corresponding to the specified ID.
getInstance(int) - Static method in class oracle.dmt.odm.ComparisonFunction
Returns an instance of ComparisonFunction enumeration that corresponds to the specified identifier.
getInstance(int) - Static method in class oracle.dmt.odm.MiningAlgorithm
 
getInstance(int) - Static method in class oracle.dmt.odm.ApplyResultContentOption
Deprecated. Returns an instance of ApplyResultContentOption enumeration that corresponds to the specified identifier.
getInstance(int) - Static method in class oracle.dmt.odm.RuleAnnotationType
Returns an instance of RuleAnnotationType enumeration that corresponds to the specified identifier.
getInstance(int) - Static method in class oracle.dmt.odm.AttributeType
Returns AttributeType enumeration object corresponding to the specified ID.
getInstance(int) - Static method in class oracle.dmt.odm.DataType
Returns DataType enumeration object corresponding to the specified ID.
getInstance(int) - Static method in class oracle.dmt.odm.ABNModelBuildState
Returns ABNModelBuildState enumeration object corresponding to the specified ID.
getInstance(int) - Static method in class oracle.dmt.odm.LocationEqualityLevel
Returns LocationEqualityLevel enumeration object corresponding to the specified ID.
getInstance(int) - Static method in class oracle.dmt.odm.BooleanOperator
Returns BooleanOperator enumeration object corresponding to the specified ID.
getInstance(int) - Static method in class oracle.dmt.odm.DistanceFunction
Returns the DistanceFunction instance specified by id.
getInstance(int) - Static method in class oracle.dmt.odm.RuleSortCriteria
Returns an instance of RuleSortCriteria enumeration that corresponds to the specified identifier.
getInstance(String) - Static method in class oracle.dmt.odm.MiningTaskState
Returns a specified DataType instance.
getInstance(String) - Static method in class oracle.dmt.odm.MiningFunction
Returns an instance of MiningFunction enumeration that corresponds to the specified name.
getInstance(String) - Static method in class oracle.dmt.odm.DataFormatType
 
getInstance(String) - Static method in class oracle.dmt.odm.DataPreparationStatus
Returns DataPreparationStatus enumeration object corresponding to the specified name
getInstance(String) - Static method in class oracle.dmt.odm.UsageAdjustment
Returns an instance of UsageAdjustment enumeration that corresponds to the specified name.
getInstance(String) - Static method in class oracle.dmt.odm.ClusteringStoppingCriterion
Returns the ClusteringStoppingCriterion instance specified by name.
getInstance(String) - Static method in class oracle.dmt.odm.PairCombinationsOption
 
getInstance(String) - Static method in class oracle.dmt.odm.MiningStandardType
 
getInstance(String) - Static method in class oracle.dmt.odm.AttributeUsage
Returns AttributeUsage enumeration object corresponding to the specified name.
getInstance(String) - Static method in class oracle.dmt.odm.ComparisonFunction
Returns an instance of ComparisonFunction enumeration that corresponds to the specified name.
getInstance(String) - Static method in class oracle.dmt.odm.MiningAlgorithm
 
getInstance(String) - Static method in class oracle.dmt.odm.ApplyResultContentOption
Deprecated. Returns an instance of ApplyResultContentOption enumeration that corresponds to the specified name.
getInstance(String) - Static method in class oracle.dmt.odm.RuleAnnotationType
Returns an instance of RuleAnnotationType enumeration that corresponds to the specified name.
getInstance(String) - Static method in class oracle.dmt.odm.AttributeType
Returns AttributeType enumeration object corresponding to the specified name.
getInstance(String) - Static method in class oracle.dmt.odm.DataType
Returns DataType enumeration object corresponding to the specified name.
getInstance(String) - Static method in class oracle.dmt.odm.ABNModelBuildState
Returns ABNModelBuildState enumeration object corresponding to the specified name.
getInstance(String) - Static method in class oracle.dmt.odm.LocationEqualityLevel
Returns LocationEqualityLevel enumeration object corresponding to the specified name.
getInstance(String) - Static method in class oracle.dmt.odm.BooleanOperator
Returns BooleanOperator enumeration object corresponding to the specified name.
getInstance(String) - Static method in class oracle.dmt.odm.DistanceFunction
Returns the DistanceFunction instance specified by name.
getInstance(String) - Static method in class oracle.dmt.odm.RuleSortCriteria
Returns an instance of RuleSortCriteria enumeration that corresponds to the specified name.
getIntValue() - Method in class oracle.dmt.odm.data.AttributeInstance
If data type is int, return the stored integer value.
getIsKey() - Method in class oracle.dmt.odm.data.MiningAttribute
Deprecated. As of ODM 9.2.0, use supplemental of AttributeUsage.
getIsParentGroup() - Method in class oracle.dmt.odm.data.MiningAttribute
Deprecated. As of ODM 9.2.0, nested attribute is not supported.
getItem() - Method in class oracle.dmt.odm.rule.SimplePredicate
Returns the MiningAttribute which is the subject of the comparison.
getItems() - Method in class oracle.dmt.odm.model.AssociationRulesModel
Returns the items in the input data used to build this instance of assocication rules model.
getItemSet() - Method in class oracle.dmt.odm.rule.RuleComponent
Returns the itemset as an array of ItemValues.
getLeafClusterIDs(Connection) - Method in class oracle.dmt.odm.model.ClusteringModel
Returns an array of leaf Cluster IDs.
getLeaves(Connection) - Method in class oracle.dmt.odm.model.ClusteringModel
Returns a Vector of Cluster objects.
getLevel() - Method in class oracle.dmt.odm.model.Cluster
Returns the level in the clustering tree associated with the Cluster object.
getLiftCumulative() - Method in class oracle.dmt.odm.result.LiftResultElement
Returns the cumulative lift.
getLiftQuantile() - Method in class oracle.dmt.odm.result.LiftResultElement
Retruns the value of lift.
getLiftResultElements() - Method in class oracle.dmt.odm.result.MiningLiftResult
Returns an array of lift result elements of mining lift result.
getLiftResultName() - Method in class oracle.dmt.odm.task.MiningLiftTask
Returns the lift result name.
getLocale() - Method in interface oracle.dmt.odm.Connection
Returns the locale of the connected Data Mining Server.
getLocale() - Method in class oracle.dmt.odm.ODMConnection
For Internal Use only.
getLocalizedMessage() - Method in class oracle.dmt.odm.ODMException
Returns the localized error message.
getLocalizedMessage(Locale) - Method in class oracle.dmt.odm.ODMException
Returns the localized message given a locale.
getLocation() - Method in class oracle.dmt.odm.LocationAccessData
For internal use only
getLocationAccessData() - Method in class oracle.dmt.odm.data.PhysicalDataSpecification
Returns the LocationAccessData instance identifying where the source data resides.
getLogicalDataSpecification() - Method in class oracle.dmt.odm.settings.function.MiningFunctionSettings
Returns the logical data specification of the function settings.
getMaximumBuildTime() - Method in class oracle.dmt.odm.settings.algorithm.AdaptiveBayesNetworkSettings
Returns the maximum build time.
getMaximumConsecutivePrunedNetworkFeatures() - Method in class oracle.dmt.odm.settings.algorithm.AdaptiveBayesNetworkSettings
Returns the maximum number of consecutive pruned features before halting the stepwise selection process.
getMaximumDepthArray() - Method in class oracle.dmt.odm.settings.algorithm.CombinationAdaptiveBayesNetworkSettings
Returns an array of values for the maximum network feature depth.
getMaximumNetworkFeatureDepth() - Method in class oracle.dmt.odm.settings.algorithm.AdaptiveBayesNetworkSettings
Returns the maximum depth of any NetworkFeature.
getMaximumNumberOfNetworkFeatures() - Method in class oracle.dmt.odm.settings.algorithm.AdaptiveBayesNetworkSettings
Returns the maximum number of seed NetworkFeatures trees that are candidates for extension and size of baseline Naive Bayes model.
getMaximumRuleLength() - Method in class oracle.dmt.odm.settings.function.AssociationRulesFunctionSettings
Returns the maximum rule length.
getMaxNumberOfClusters() - Method in class oracle.dmt.odm.settings.function.ClusteringFunctionSettings
Returns the maximum number of clusters a model built with this MFS can have.
getMaxNumberOfItemsPerTransaction() - Method in class oracle.dmt.odm.model.AssociationRulesModel
Returns the maximum number of items per transaction in the data used to build this instance of assocication rules model.
getMaxNumberOfIterations() - Method in class oracle.dmt.odm.settings.algorithm.KMeansAlgorithmSettings
Returns the maxNumberOfIterations specified by a KMeansAlgorithmSettings object to train a K-Means ClusteringModel.
getMessage() - Method in class oracle.dmt.odm.ODMException
Returns a message that describes the cause of the exception.
getMinimumConfidence() - Method in class oracle.dmt.odm.settings.function.AssociationRulesFunctionSettings
Returns the minimum confidence.
getMinimumErrorTolerance() - Method in class oracle.dmt.odm.settings.algorithm.KMeansAlgorithmSettings
Returns the minimumErrorTolerance specified by a KMeansAlgorithmSettings object to train a K-Means ClusteringModel.
getMinimumSupport() - Method in class oracle.dmt.odm.settings.function.AssociationRulesFunctionSettings
Returns the minimum support.
getMiningAlgorithm() - Method in class oracle.dmt.odm.settings.algorithm.MiningAlgorithmSettings
Returns the kind of mining algorithm that this algorithm settings represents
getMiningAlgorithm() - Method in class oracle.dmt.odm.model.MiningModel
Returns the kind of algorithm as the enumeration MiningAlgorithm used to build this model.
getMiningAlgorithmName() - Method in class oracle.dmt.odm.settings.algorithm.MiningAlgorithmSettings
Returns the name of the mining algorithm that this algorithm settings represents
getMiningAlgorithmName() - Method in class oracle.dmt.odm.settings.function.MiningFunctionSettings
Returns the name of mining algorithm used to build a mining model.
getMiningAlgorithmSettings() - Method in class oracle.dmt.odm.settings.function.MiningFunctionSettings
Returns the mining algorithm settings of the function settings, if any.
getMiningAlgorithmSettingsArray() - Method in class oracle.dmt.odm.settings.algorithm.ModelSeekerClassificationAlgorithmSettings
Returns the array of MiningAlgorithmSettings objects.
getMiningAttribute(String) - Method in class oracle.dmt.odm.data.LogicalDataSpecification
Returns a mining attribute with the specified name in the LDS.
getMiningAttributeName() - Method in class oracle.dmt.odm.settings.function.DataUsageEntry
Returns the name of the mining attribute.
getMiningAttributes() - Method in class oracle.dmt.odm.data.LogicalDataSpecification
Returns an array of mining attributes contained in the LDS.
getMiningAttributesCount() - Method in class oracle.dmt.odm.data.LogicalDataSpecification
Returns the total count of mining attributes contained in the LDS.
getMiningAttributeValue(MiningAttribute) - Method in class oracle.dmt.odm.model.ConditionalProbabilityExpression
Returns the Category value associated with the mining attribute.
getMiningFunction() - Method in class oracle.dmt.odm.settings.function.MiningFunctionSettings
Returns the kind of mining function of this function settings.
getMiningFunction() - Method in class oracle.dmt.odm.model.MiningModel
Returns the kind of function as the enumeration MiningFunction used to build this model.
getMiningFunctionSettings() - Method in class oracle.dmt.odm.model.MiningModel
Returns an instance of MiningFunctionSettings used to build this model.
getMiningModel() - Method in class oracle.dmt.odm.result.MiningResult
Returns the name of the mining model by which this mining result was generated.
getMiningStandardType() - Method in class oracle.dmt.odm.task.ModelImportTask
Returns the import model mining standard type.
getMiningStandardType() - Method in class oracle.dmt.odm.task.ModelExportTask
Returns the export model mining standard type.
getModelBuildState(Connection, String) - Static method in class oracle.dmt.odm.model.AdaptiveBayesNetworkModel
Returns an ABNModelBuildState instance indicating the model build state.
getModelName() - Method in class oracle.dmt.odm.result.ModelSeekerResultEntry
Returns the name of this entry's model.
getModelName() - Method in class oracle.dmt.odm.model.MiningModel
Returns the name of the model.
getModelSeekerEntryArray() - Method in class oracle.dmt.odm.result.ModelSeekerResult
Returns the array of ModelSeekerResultEntry objects.
getModelTimingRecords(Connection, String) - Static method in class oracle.dmt.odm.model.AdaptiveBayesNetworkModel
Returns an array of ModelTimingRecords.
getModelType() - Method in class oracle.dmt.odm.result.ModelSeekerResultEntry
Returns this entry's model type.
getName() - Method in class oracle.dmt.odm.data.Attribute
Returns the attribute name.
getName() - Method in class oracle.dmt.odm.settings.function.MiningFunctionSettings
Returns the name of this mining function settings.
getName() - Method in class oracle.dmt.odm.transformation.DiscretizationSpecification
Returns the name of the attribute for which binning(discretization) details are specified in this object.
getName() - Method in class oracle.dmt.odm.rule.ItemValue
Returns the name of the item.
getName() - Method in class oracle.dmt.odm.result.MiningResult
Returns the name of the mining result.
getName() - Method in class oracle.dmt.odm.task.MiningTask
Returns the task name of a stored mining task, because name is assigned to a task only after storing the task in DMS.
getNestedAttribute(String) - Method in class oracle.dmt.odm.data.MiningAttribute
Deprecated. As of ODM 9.2.0, nested attribute is not supported.
getNestedAttributes() - Method in class oracle.dmt.odm.data.MiningAttribute
Deprecated. As of ODM 9.2.0, nested attribute is not supported.
getNetworkFeatures(Connection, String) - Static method in class oracle.dmt.odm.model.AdaptiveBayesNetworkModel
Returns an array of NetworkFeatures.
getNextRule() - Method in interface oracle.dmt.odm.rule.MiningRuleSet
Returns the next mining rule in the rule set.
getNextRules(int) - Method in interface oracle.dmt.odm.rule.MiningRuleSet
Returns the specified number of mining rules from the rule set.
getNodeTableName() - Method in class oracle.dmt.odm.model.AdaptiveBayesNetworkModel
For internal use only
getNumberOfBins() - Method in class oracle.dmt.odm.AttributeHistogram
Returns the number of bins in the histogram.
getNumberOfClusters() - Method in class oracle.dmt.odm.model.ClusteringModel
Returns the number of clusters in the model.
getNumberOfConditions() - Method in class oracle.dmt.odm.model.SupervisedModel
Returns the number of conditions for this model.
getNumberOfItems() - Method in class oracle.dmt.odm.model.AssociationRulesModel
Returns the number of items in the data used to build this instance of assocication rules model.
getNumberOfLeaves() - Method in class oracle.dmt.odm.model.ClusteringModel
Returns the number of leaf clusters in the model.
getNumberOfLevels() - Method in class oracle.dmt.odm.model.ClusteringModel
Returns the number of levels in the ClusteringModel.
getNumberOfNonTargetsCumulative() - Method in class oracle.dmt.odm.result.LiftResultElement
Returns the cumulative number of nontargets.
getNumberOfPriors() - Method in class oracle.dmt.odm.model.SupervisedModel
Returns the number of priors for this model.
getNumberOfQuantiles() - Method in class oracle.dmt.odm.transformation.NumericalDiscretization
Returns the number of quantiles.
getNumberOfQuantiles() - Method in class oracle.dmt.odm.task.MiningLiftTask
Returns the number of quantiles specified to compute lift.
getNumberOfQuantilesForLift() - Method in class oracle.dmt.odm.task.ModelSeekerTask
Returns the value representing the number of quantiles.
getNumberOfRules() - Method in interface oracle.dmt.odm.rule.MiningRuleSet
Returns the number of rules in the rule set.
getNumberOfRules() - Method in class oracle.dmt.odm.model.AssociationRulesModel
Returns the number of rules found in this instance of assocication rules model.
getNumberOfTargetsCumulative() - Method in class oracle.dmt.odm.result.LiftResultElement
Returns the cumulative number of targets.
getNumberOfTransactions() - Method in class oracle.dmt.odm.model.AssociationRulesModel
Returns the number of transactions in the data used to build this instance of assocication rules model.
getNumericalBin() - Method in class oracle.dmt.odm.transformation.NumericalDiscretization
Returns the list of numerical bins.
getObjectName() - Method in class oracle.dmt.odm.Location
 
getObjectName() - Method in class oracle.dmt.odm.LocationAccessData
Returns the object name corresponding to the table when the object is stored.
getOffDiagonalDefault() - Method in class oracle.dmt.odm.CategoryMatrix
Deprecated. As of ODM 9.2.0, this method is not supported.
getOtherCategoryName() - Method in class oracle.dmt.odm.transformation.CategoricalDiscretization
Returns the name of the "Other" bin.
getOutputDataLocation() - Method in class oracle.dmt.odm.task.MiningApplyTask
Returns location of the apply output table.
getOutputModelName() - Method in class oracle.dmt.odm.task.ModelImportTask
Returns the output model name of the import mining task.
getPairsOption() - Method in class oracle.dmt.odm.settings.algorithm.CombinationNaiveBayesSettings
Returns the option value that determines the way in which pair combinations are created.
getPairwiseThreshold() - Method in class oracle.dmt.odm.settings.algorithm.NaiveBayesSettings
Returns the pairwise threshold, a threshold on the count of the frequent item pairs.
getPairwiseThresholdArray() - Method in class oracle.dmt.odm.settings.algorithm.CombinationNaiveBayesSettings
Returns an array of values as specified for the pairwise threshhold.
getParameters() - Method in class oracle.dmt.odm.ODMException
For internal use only.
getParent() - Method in class oracle.dmt.odm.model.Cluster
Returns the parent of a Cluster.
getParent() - Method in class oracle.dmt.odm.model.TreeNode
Returns the parent TreeNode of this tree node.
getParentChildTableName() - Method in class oracle.dmt.odm.model.AdaptiveBayesNetworkModel
For internal use only
getPassword() - Method in interface oracle.dmt.odm.Connection
Returns the login user password.
getPassword() - Method in class oracle.dmt.odm.AccessData
Returns the user password
getPassword() - Method in class oracle.dmt.odm.ODMConnection
For Internal Use only.
getPercentageOfRecordsCumulative() - Method in class oracle.dmt.odm.result.LiftResultElement
Returns cumulative percentage of records.
getPositiveTargetValue() - Method in class oracle.dmt.odm.task.ModelSeekerTask
Returns the Category for the positive target value.
getPostiveTargetValue() - Method in class oracle.dmt.odm.task.MiningLiftTask
Returns positive target value.
getPredicate() - Method in class oracle.dmt.odm.rule.PredicateRuleComponent
Returns the associated Predicate.
getPredicate() - Method in class oracle.dmt.odm.model.TreeNode
Returns the Predicate, if any, characterizing the relation between the node and its children.
getPredicates() - Method in class oracle.dmt.odm.rule.CompoundPredicate
Returns an array of the component Predicates
getPredictedTargetValue() - Method in class oracle.dmt.odm.model.TreeNode
Returns the highest probability predicted target value associated with this tree node.
getPredictionAttribute() - Method in class oracle.dmt.odm.result.ApplyTargetProbabilityItem
Returns the attribute to appear in the output table as prediction column.
getPredictionAttribute() - Method in class oracle.dmt.odm.result.ApplyMultipleScoringItem
Returns the attribute to appear in the apply output table as prediction column.
getPredictorAttributes() - Method in class oracle.dmt.odm.settings.function.SupervisedFunctionSettings
Returns a list of predictor attributes in this MFS.
getPredictorAttributes() - Method in class oracle.dmt.odm.settings.function.AttributeImportanceFunctionSettings
Returns an array of predictor mining attributes in this function settings.
getPrefix() - Method in class oracle.dmt.odm.task.ModelSeekerTask
Returns the String prefix.
getPriors() - Method in class oracle.dmt.odm.settings.function.ClassificationFunctionSettings
Returns the prior probabilities of the input data set in this function settings.
getPriorsTableName() - Method in class oracle.dmt.odm.model.SupervisedModel
Returns the name of the priors table for this model.
getProbability() - Method in class oracle.dmt.odm.model.ConditionalProbabilityExpression
Returns the conditional probability of the consequent.
getProbabilityAttribute() - Method in class oracle.dmt.odm.result.ApplyTargetProbabilityItem
Returns the attribute to appear in the output table as probability column.
getProbabilityAttribute() - Method in class oracle.dmt.odm.result.ApplyMultipleScoringItem
Returns the attribute to appear in the apply output table as a probability column.
getRank() - Method in class oracle.dmt.odm.model.AttributeImportanceEntry
Returns the rank of the attribute.
getRankAttribute() - Method in class oracle.dmt.odm.result.ApplyTargetProbabilityItem
Returns the attribute to appear in the output table as rank column.
getRecordCount() - Method in class oracle.dmt.odm.model.Cluster
Returns the number of records in the training data assigned to the cluster during the model build.
getResultModelName() - Method in class oracle.dmt.odm.task.MiningBuildTask
Returns the name of the model built for this task.
getResultName() - Method in class oracle.dmt.odm.task.ModelSeekerTask
Returns the name of the result object.
getRootID() - Method in class oracle.dmt.odm.model.ClusteringModel
Returns the ID for the ClusteringModel's root Cluster object.
getRowID() - Method in class oracle.dmt.odm.LocationCellAccessData
Returns the row id object.
getRuleAnnotations() - Method in class oracle.dmt.odm.rule.MiningRule
Returns an array of the rule annotations in the mining rule.
getRuleId() - Method in class oracle.dmt.odm.rule.MiningRule
Returns the identifier of the mining rule.
getRules() - Method in interface oracle.dmt.odm.rule.MiningRuleSet
Returns all mining rules left in the rule set.
getRules(Connection, String) - Static method in class oracle.dmt.odm.model.AdaptiveBayesNetworkModel
Returns the decision tree MiningRuleSet.
getRules(Connection, String, int, RuleSortCriteria) - Static method in class oracle.dmt.odm.model.AssociationRulesModel
Returns an instance of MiningRuleSet that contains the specified number of rules sorted in the specified order (confidence or support).
getRulesByConfidence(Connection, String, float, int) - Static method in class oracle.dmt.odm.model.AssociationRulesModel
Returns an instance of MiningRuleSet that contains the specified number of rules whose confidence is greater than the specified value.
getRulesByContents(Connection, String, String[], String[], int) - Static method in class oracle.dmt.odm.model.AssociationRulesModel
Returns an instance of MiningRuleSet that contains the specified items as antecedent and consequent.
getRulesBySupport(Connection, String, float, int) - Static method in class oracle.dmt.odm.model.AssociationRulesModel
Returns an instance of MiningRuleSet that contains the specified number of mining rules whose support is greater than the specified value.
getRuleTableName() - Method in class oracle.dmt.odm.model.AssociationRulesModel
Returns the rules table name that contains the information on the rules found in this instance of assocication rules model.
getSchema() - Method in class oracle.dmt.odm.Location
 
getSchema() - Method in class oracle.dmt.odm.LocationAccessData
Returns the schema name corresponding to the location when the object is located.
getSchemaName() - Method in class oracle.dmt.odm.result.MiningApplyResult
Returns the schema name of the DMS where this apply result is persisted.
getScoreProbPairs() - Method in class oracle.dmt.odm.result.ApplyMultipleScoringItem
Returns the number of score/probability pairs to be scored for each input record.
getSegmentBuildTime() - Method in class oracle.dmt.odm.model.ModelTimingRecord
Returns the segment build time.
getSensitivity() - Method in class oracle.dmt.odm.settings.algorithm.OClusterAlgorithmSettings
Returns the sensitivity specified in the OCluster algorithm settings.
getSequenceAttribute() - Method in class oracle.dmt.odm.data.TransactionalDataSpecification
Returns an attribute to be used as sequence identifier.
getSettingsName() - Method in class oracle.dmt.odm.task.MiningBuildTask
Returns the name of the mining function settings object used in mining build task.
getSettingsName() - Method in class oracle.dmt.odm.task.CrossValidateTask
Returns the name of the cross-validate settings name.
getSingletonThreshold() - Method in class oracle.dmt.odm.settings.algorithm.NaiveBayesSettings
Returns the singleton threshold, a threshold on the count of the frequent items.
getSingletonThresholdArray() - Method in class oracle.dmt.odm.settings.algorithm.CombinationNaiveBayesSettings
Returns an array of values as specified for the singleton threshhold.
getSourceAttribute() - Method in class oracle.dmt.odm.result.ApplySourceAttributeItem
Returns the source attribute to appear in the apply output table.
getSplitPredicate() - Method in class oracle.dmt.odm.model.Cluster
Returns a SplitPredicate object that stores information on how records are assigned to the cluster node's children.
getStart() - Method in class oracle.dmt.odm.transformation.NumericalBin
Returns the start value (low value) of the bin.
getStartingTimestamp() - Method in class oracle.dmt.odm.result.MiningResult
Returns the starting time of the mining operation that created this mining result.
getStateDescription() - Method in class oracle.dmt.odm.task.MiningTaskStatus
Returns the description for the task state.
getStatusHistory(Connection, String) - Static method in class oracle.dmt.odm.task.MiningTask
Returns an array of task statuses sorted by timestamp in decending order of the status entry timestamp.
getStopCriterion() - Method in class oracle.dmt.odm.settings.algorithm.KMeansAlgorithmSettings
Returns the clusteringStoppingCriterion specified by a KMeansAlgorithmSettings object to train a K-Means ClusteringModel.
getStringValue() - Method in class oracle.dmt.odm.data.AttributeInstance
If data type is String, return the stored String value; otherwise return null.
getSupplementalAttributes() - Method in class oracle.dmt.odm.settings.function.MiningFunctionSettings
Returns an array of supplementary mining attributes in this fiunction settings.
getSupport() - Method in class oracle.dmt.odm.rule.RuleComponent
Returns the support of the itemset.
getSupport() - Method in class oracle.dmt.odm.rule.MiningRule
Returns the support value of the mining rule.
getTableName() - Method in class oracle.dmt.odm.result.MiningLiftResult
Returns the name of the lift table.
getTargetAttribute() - Method in class oracle.dmt.odm.settings.function.ClassificationFunctionSettings
Returns the target attribute set in this functional settings.
getTargetAttributes() - Method in class oracle.dmt.odm.settings.function.SupervisedFunctionSettings
Returns a list of target attributes in this MFS.
getTargetAttributes() - Method in class oracle.dmt.odm.settings.function.AttributeImportanceFunctionSettings
Returns the target attribute set in this function settings.
getTargetDensity() - Method in class oracle.dmt.odm.result.LiftResultElement
Returns the target density.
getTargetDensityCumulative() - Method in class oracle.dmt.odm.result.LiftResultElement
Returns the cumulative target density.
getTargetPrior(Connection, String) - Static method in class oracle.dmt.odm.model.AdaptiveBayesNetworkModel
Returns the target prior.
getTargets() - Method in class oracle.dmt.odm.result.ApplyTargetProbabilityItem
Returns an array of target values contained in the instance.
getTargetValueCount() - Method in class oracle.dmt.odm.model.SupervisedModel
Deprecated. Use method getNumberOfPriors
getTaskInputData() - Method in class oracle.dmt.odm.task.MiningDataTask
Returns the physical data specification identifying the input data for this task.
getTaskState() - Method in class oracle.dmt.odm.task.MiningTaskStatus
Returns the mining task state enumeration.
getTestResultName() - Method in class oracle.dmt.odm.result.ModelSeekerResultEntry
Returns the name of the MiningTestResult object for this entry's model.
getTestResultName() - Method in class oracle.dmt.odm.task.ClassificationTestTask
Returns test result name used for this task.
getTimestamp() - Method in class oracle.dmt.odm.task.MiningTaskStatus
Returns the timestamp for the MiningTaskStatus instance.
getTimingTableName() - Method in class oracle.dmt.odm.model.AdaptiveBayesNetworkModel
For internal use only
getTopNFrequencies() - Method in class oracle.dmt.odm.transformation.CategoricalDiscretization
Returns the number of the top most frequent values.
getTraceLevel(Enumerations.MessageSubComponentType) - Method in interface oracle.dmt.odm.Connection
 
getTraceLevel(Enumerations.MessageSubComponentType) - Method in class oracle.dmt.odm.ODMConnection
For Internal Use only.
getTreeNum() - Method in class oracle.dmt.odm.model.TreeNode
Returns the tree number associated with this tree node.
getUnpreparedActiveAttributes() - Method in class oracle.dmt.odm.settings.function.AssociationRulesFunctionSettings
Returns an array of unprepared active mining attributes in this function settings.
getUnpreparedActiveAttributes() - Method in class oracle.dmt.odm.settings.function.ClusteringFunctionSettings
Returns the list of unbinned active attributes in this MFS.
getUnpreparedActiveNumericAttributes() - Method in class oracle.dmt.odm.settings.function.ClusteringFunctionSettings
Returns the list of unbinned active attributes in this MFS.
getUnpreparedPredictorAttributes() - Method in class oracle.dmt.odm.settings.function.SupervisedFunctionSettings
Returns a list of unprepared predictor attributes in this MFS.
getUnpreparedPredictorAttributes() - Method in class oracle.dmt.odm.settings.function.AttributeImportanceFunctionSettings
Returns an array of unprepared predictor attributes in this functional settings.
getURL() - Method in interface oracle.dmt.odm.Connection
Returns the URL to the connected Data Mining Server.
getURL() - Method in class oracle.dmt.odm.ODMConnection
For Internal Use only.
getUsage() - Method in class oracle.dmt.odm.settings.function.DataUsageEntry
Returns the AttributeUsage enum value used for the mining attribute.
getUser() - Method in interface oracle.dmt.odm.Connection
Returns the login user name.
getUser() - Method in class oracle.dmt.odm.AccessData
Returns the user id
getUser() - Method in class oracle.dmt.odm.ODMConnection
For Internal Use only.
getUseTop() - Method in class oracle.dmt.odm.result.ApplyMultipleScoringItem
Returns the indicator as to whether to choose from the top or bottom of the ranks.
getValidateBeforeStore() - Method in class oracle.dmt.odm.settings.function.MiningFunctionSettings
Returns a flag that controls validation before the mining function settings object is persisted in the DMS.
getValue() - Method in class oracle.dmt.odm.Category
Returns the value of the Category.
getValue() - Method in class oracle.dmt.odm.rule.ItemValue
Returns the value of the item
getValue() - Method in class oracle.dmt.odm.rule.RuleAnnotation
Returns the value of the rule annotation.
getValue() - Method in class oracle.dmt.odm.rule.BooleanPredicate
Returns the value TRUE.
getValue() - Method in class oracle.dmt.odm.rule.SimplePredicate
Returns the array of Category value to which the mining attribute value is compared.
getValue() - Method in class oracle.dmt.odm.model.ClusterCentroidEntry
Returns the value of a ClusterCentroidEntry.
getValue(Category) - Method in class oracle.dmt.odm.PriorProbabilities
Returns the prior probability value associated with the given target Category.
getValue(Category, Category) - Method in class oracle.dmt.odm.CategoryMatrix
Returns the value of the entry at the specified row Category and column Category position.
getValue(String) - Method in class oracle.dmt.odm.result.RecordInstance
Returns an AttrributeInstance with the given name.
getValue(String, String) - Method in class oracle.dmt.odm.CategoryMatrix
Returns the value of the entry whose row and column display names match to the specified names.
getValueAttribute() - Method in class oracle.dmt.odm.data.TransactionalDataSpecification
Returns an attribute to be used as value identifier.
getValueCount() - Method in class oracle.dmt.odm.data.MiningAttribute
Deprecated. As of ODM 9.2.0, distinct values are not counted.
getValues() - Method in class oracle.dmt.odm.result.RecordInstance
Returns an array of attrribute instances contained in this record instance.
getValueSortByDisplayName() - Method in class oracle.dmt.odm.rule.SimplePredicate
For internal use only
getValueSortByValue() - Method in class oracle.dmt.odm.rule.SimplePredicate
For internal use only
getValueTableName() - Method in class oracle.dmt.odm.model.AdaptiveBayesNetworkModel
For internal use only
getWeight() - Method in class oracle.dmt.odm.task.ModelSeekerTask
Returns the weight value used to compute the figure of merit.

I

in - Static variable in class oracle.dmt.odm.ComparisonFunction
Specifies the IN comparison function.
inactivate - Static variable in class oracle.dmt.odm.UsageAdjustment
Inactivate the specified mining attributes and do not modify the usage of other mining attributes.
inactivateOnly - Static variable in class oracle.dmt.odm.UsageAdjustment
Inactivate the specified mining attributes and activate all the other mining attributes.
inactive - Static variable in class oracle.dmt.odm.AttributeUsage
 
IncompleteSingleFeature - Static variable in class oracle.dmt.odm.ABNModelBuildState
 
initiated - Static variable in class oracle.dmt.odm.MiningTaskState
Task is dequeued and initiated to execute in the DMS.
intType - Static variable in class oracle.dmt.odm.DataType
Integer data type
InvalidArgumentException - exception oracle.dmt.odm.InvalidArgumentException.
The exception is thrown when an invalid argument is passed to an object constructor or a method.
InvalidArgumentException(int) - Constructor for class oracle.dmt.odm.InvalidArgumentException
For internal use only.
InvalidArgumentException(int, Object[]) - Constructor for class oracle.dmt.odm.InvalidArgumentException
For internal use only.
isAccepted() - Method in class oracle.dmt.odm.model.ModelTimingRecord
Returns a boolean indicating whether the NetworkFeature was accepted or rejected by the MDL pruning criteria.
isEqual(Enum) - Method in class oracle.dmt.odm.Enum
Returns true if two enumerated options are the same, flase otherwise.
isEqual(LocationAccessData, LocationAccessData, LocationEqualityLevel) - Static method in class oracle.dmt.odm.LocationAccessData
Compares two instances of LocationAccessData.
isNested() - Method in class oracle.dmt.odm.data.MiningAttribute
Deprecated. As of ODM 9.2.0, nested attribute is not supported.
isPresent(Category) - Method in class oracle.dmt.odm.CategoryMatrix
Returns true if the given index value is found in the matrix.
isTerminated() - Method in class oracle.dmt.odm.model.ModelTimingRecord
Returns a boolean indicating whether the NetworkFeature met termination criteria or whether the NetworkFeature extension process was prematurely halted.
ItemValue - class oracle.dmt.odm.rule.ItemValue.
An instance of ItemValue represents an item used in the Association Rules model and supports MiningRule by providing item data in an itemset.
ItemValue(String, String) - Constructor for class oracle.dmt.odm.rule.ItemValue
Creates an instance of ItemValue.
iterations - Static variable in class oracle.dmt.odm.ClusteringStoppingCriterion
Specifies the iterations stopping criterion.

K

kMeans - Static variable in class oracle.dmt.odm.MiningAlgorithm
Specifies the k-means algorithm for Clustering.
KMeansAlgorithmSettings - class oracle.dmt.odm.settings.algorithm.KMeansAlgorithmSettings.
An instance of KMeansAlgorithmSettings is used to specify settings for the KMeans clustering algorithm.
KMeansAlgorithmSettings(float, DistanceFunction) - Constructor for class oracle.dmt.odm.settings.algorithm.KMeansAlgorithmSettings
Creates a KMeansAlgorithmSettings object with the minimum percentual change in error between K-Means iterations to considered that K-Means has converged set to minErrorTolerance and the distance function to be used to train a K-Means set to distanceFunction minErrorTolerance is a number between 0 and 1.
KMeansAlgorithmSettings(int, DistanceFunction) - Constructor for class oracle.dmt.odm.settings.algorithm.KMeansAlgorithmSettings
Creates a KMeansAlgorithmSettings object with the maximum number of K-Means iterations between splits set to iterations and the distance function to be used to train a K-Means set to distanceFunction.
KMeansAlgorithmSettings(int, float, DistanceFunction) - Constructor for class oracle.dmt.odm.settings.algorithm.KMeansAlgorithmSettings
Creates a KMeansAlgorithmSettings object with the maximum number of K-Means iterations between splits set to iterations, the minimum percentual change in error between K-Means iterations set to error, and the distance function to be used to train a K-Means set to distanceFunction.

L

le - Static variable in class oracle.dmt.odm.ComparisonFunction
Specifies the LESS EQUAL comparison function.
LiftResultElement - class oracle.dmt.odm.result.LiftResultElement.
An instance of LiftResultElement contains information on the lift result for a specific quantile of data.
LiftResultElement() - Constructor for class oracle.dmt.odm.result.LiftResultElement
 
list() - Static method in class oracle.dmt.odm.MiningTaskState
Return a list of all MiningTaskState values
list() - Static method in class oracle.dmt.odm.MiningFunction
Returns a list of all instances of MiningFunction enumerations.
list() - Static method in class oracle.dmt.odm.DataFormatType
list all Enumerations values
list() - Static method in class oracle.dmt.odm.DataPreparationStatus
Returns list of all the DataPreparationStatus enumerations defined
list() - Static method in class oracle.dmt.odm.UsageAdjustment
Returns a list of all instances of UsageAdjustment enumerations.
list() - Static method in class oracle.dmt.odm.ClusteringStoppingCriterion
Returns all ClusteringStoppingCriterion enumerations.
list() - Static method in class oracle.dmt.odm.PairCombinationsOption
Lists all enumeration values
list() - Static method in class oracle.dmt.odm.MiningStandardType
list all Enumerations values
list() - Static method in class oracle.dmt.odm.AttributeUsage
Returns list of all AttributeUsage enumerations defined.
list() - Static method in class oracle.dmt.odm.ComparisonFunction
Returns a list of all instances of ComparisonFunction enumerations.
list() - Static method in class oracle.dmt.odm.MiningAlgorithm
Lists all enumeration values
list() - Static method in class oracle.dmt.odm.ApplyResultContentOption
Deprecated. Returns a list of all instances of ApplyResultContentOption enumeration.
list() - Static method in class oracle.dmt.odm.RuleAnnotationType
Returns a list of all instances of RuleAnnotationType enumerations.
list() - Static method in class oracle.dmt.odm.AttributeType
Returns list of all AttributeType enumerations defined.
list() - Static method in class oracle.dmt.odm.DataType
Returns list of all DataType enumerations defined.
list() - Static method in class oracle.dmt.odm.ABNModelBuildState
Returns list of all ABNModelBuildState enumerations defined.
list() - Static method in class oracle.dmt.odm.LocationEqualityLevel
Returns list of all LocationEqualityLevel enumerations defined.
list() - Static method in class oracle.dmt.odm.BooleanOperator
Returns list of all BooleanOperator enumerations defined.
list() - Static method in class oracle.dmt.odm.DistanceFunction
Returns all DistanceFunction enumerations.
list() - Static method in class oracle.dmt.odm.RuleSortCriteria
Returns a list of all instances of RuleSortCriteria enumerations.
listCategories() - Method in class oracle.dmt.odm.CategoryMatrix
Returns all row and column index values in the matrix.
listColumnDisplayNames() - Method in class oracle.dmt.odm.CategoryMatrix
Deprecated. As of 9.2.0, replaced by listDisplayNames method.
listColumnValues() - Method in class oracle.dmt.odm.CategoryMatrix
Deprecated. As of 9.2.0, replaced by listCategories method.
listContents(Connection) - Static method in class oracle.dmt.odm.settings.function.MiningFunctionSettings
Returns an array of the names of mining function settings persisted in the specified data mining server.
listContents(Connection) - Static method in class oracle.dmt.odm.result.MiningBuildResult
Returns names of all build results present in the data mining server.
listContents(Connection) - Static method in class oracle.dmt.odm.result.MiningLiftResult
Lists the names of the MiningLiftResult objects stored in the DMS.
listContents(Connection) - Static method in class oracle.dmt.odm.result.MiningApplyResult
Returns names of all apply results present in the DMS.
listContents(Connection) - Static method in class oracle.dmt.odm.result.MiningTestResult
Returns an array of mining test result names that are persisted in the schema location.
listContents(Connection) - Static method in class oracle.dmt.odm.model.MiningModel
Returns an array of mining model names persisted in the specified data mining server.
listContents(Connection, Date, Date) - Static method in class oracle.dmt.odm.settings.function.MiningFunctionSettings
Returns an array of the names of mining function settings persisted within the specified time interval in the data mining server.
listContents(Connection, Date, Date) - Static method in class oracle.dmt.odm.result.MiningBuildResult
Returns names of build results created within the specified time interval in the data mining server.
listContents(Connection, Date, Date) - Static method in class oracle.dmt.odm.result.MiningLiftResult
Lists the names of the MiningLiftResult objects stored in the DMS created between the specified start and end times.
listContents(Connection, Date, Date) - Static method in class oracle.dmt.odm.result.MiningApplyResult
Returns names of apply results created within the specified time interval in the DMS.
listContents(Connection, Date, Date) - Static method in class oracle.dmt.odm.result.MiningTestResult
Returns an array of mining test result names that are persisted in the schema location for the given start date and end date.
listContents(Connection, Date, Date) - Static method in class oracle.dmt.odm.model.MiningModel
Returns an array of mining model names persisted within the specified time interval in the data mining server.
listContents(Connection, Date, Date, String) - Static method in class oracle.dmt.odm.result.MiningLiftResult
Lists the names of the MiningLiftResult objects stored in the DMS derived from the speicfied model, and created between the specified start and end times.
listContents(Connection, Date, Date, String) - Static method in class oracle.dmt.odm.result.MiningApplyResult
Returns names of apply results created by the specified model within the specified time interval in the DMS.
listContents(Connection, Date, Date, String) - Static method in class oracle.dmt.odm.result.MiningTestResult
Returns an array of mining test result names that are persisted in the schema location for the given model name, start date, and end date.
listContents(Connection, MiningFunction, MiningAlgorithm) - Static method in class oracle.dmt.odm.settings.function.MiningFunctionSettings
Returns an array of the names of mining function settings of the specified mining function type that contain the given algorithm type from the specified data mining server.
listContents(Connection, MiningFunction, MiningAlgorithm) - Static method in class oracle.dmt.odm.model.MiningModel
Returns an array of mining model names of the specified function type built by the specified algorithm in the specified data mining server.
listContents(Connection, MiningFunction, MiningAlgorithm, Date, Date) - Static method in class oracle.dmt.odm.settings.function.MiningFunctionSettings
Returns an array of the names of mining function settings of the specified function type with the specified algorithm type that are persisted within the specified time interval in the data mining server.
listContents(Connection, MiningFunction, MiningAlgorithm, Date, Date) - Static method in class oracle.dmt.odm.model.MiningModel
Returns an array of mining model names of the specified function type built by the specified algorithm within the given time interval.
listDisplayNames() - Method in class oracle.dmt.odm.CategoryMatrix
Returns all display names used in the matrix.
listNames() - Static method in class oracle.dmt.odm.MiningTaskState
Returns a list (array) of all MiningTaskState names.
listNames() - Static method in class oracle.dmt.odm.MiningFunction
Returns a list of the values available in enumeration MiningFunction.
listNames() - Static method in class oracle.dmt.odm.DataFormatType
list all string values
listNames() - Static method in class oracle.dmt.odm.DataPreparationStatus
Returns list the names of all the DataPreparationStatus enumerations defined
listNames() - Static method in class oracle.dmt.odm.UsageAdjustment
Returns a list of the values available in enumeration UsageAdjustment.
listNames() - Static method in class oracle.dmt.odm.ClusteringStoppingCriterion
Returns all ClusteringStoppingCriterion names.
listNames() - Static method in class oracle.dmt.odm.PairCombinationsOption
Lists all string values of the enumeration
listNames() - Static method in class oracle.dmt.odm.MiningStandardType
list all string values
listNames() - Static method in class oracle.dmt.odm.AttributeUsage
Returns list the names of all AttributeUsage enumerations defined.
listNames() - Static method in class oracle.dmt.odm.ComparisonFunction
Returns a list of the values available in enumeration ComparisonFunction.
listNames() - Static method in class oracle.dmt.odm.MiningAlgorithm
Lists all string values of the enumeration
listNames() - Static method in class oracle.dmt.odm.ApplyResultContentOption
Deprecated. Returns a list of the values available in the enumeration ApplyResultContentOption.
listNames() - Static method in class oracle.dmt.odm.RuleAnnotationType
Returns a list of the values available in enumeration RuleAnnotationType.
listNames() - Static method in class oracle.dmt.odm.AttributeType
Returns list the names of all AttributeType enumerations defined.
listNames() - Static method in class oracle.dmt.odm.DataType
Returns list the names of all DataType enumerations defined.
listNames() - Static method in class oracle.dmt.odm.ABNModelBuildState
Returns list the names of all ABNModelBuildState enumerations defined.
listNames() - Static method in class oracle.dmt.odm.LocationEqualityLevel
Returns list the names of all LocationEqualityLevel enumerations defined.
listNames() - Static method in class oracle.dmt.odm.BooleanOperator
Returns list the names of all BooleanOperator enumerations defined.
listNames() - Static method in class oracle.dmt.odm.DistanceFunction
Returns all DistanceFunction names.
listNames() - Static method in class oracle.dmt.odm.RuleSortCriteria
Returns a list of the values available in enumeration RuleSortCriteria.
listRowDisplayNames() - Method in class oracle.dmt.odm.CategoryMatrix
Deprecated. As of 9.2.0, replaced by listDisplayNames method.
listRowValues() - Method in class oracle.dmt.odm.CategoryMatrix
Deprecated. As of 9.2.0, replaced by listCategories method.
listTargetValues() - Method in class oracle.dmt.odm.PriorProbabilities
Lists all target Categories present in the PriorProbabilities instance.
listTasks(Connection, MiningTaskState, Date, Date) - Static method in class oracle.dmt.odm.task.MiningTask
Returns the tasks that are currently in the specified state.
LocatableObject - class oracle.dmt.odm.LocatableObject.
For internal use only The abstract class LocatableObject is a common superclass allowing explicit naming (storage and retrieval) for the DMS.
Location - class oracle.dmt.odm.Location.
For internal use only
Location(String) - Constructor for class oracle.dmt.odm.Location
Creates an instance of Location for the specified location string.
Location(String, String) - Constructor for class oracle.dmt.odm.Location
Creates an instance of Location for the specified object name and schema name.
LocationAccessData - class oracle.dmt.odm.LocationAccessData.
An instance of LocationAccessData allows users to specify the location of input and output data tables.
LocationAccessData(String) - Constructor for class oracle.dmt.odm.LocationAccessData
Creates an instance of LocationAccessData for the specified location string.
LocationAccessData(String, String) - Constructor for class oracle.dmt.odm.LocationAccessData
Creates an instance of LocationAccessData for the specified object name and schema name.
LocationCellAccessData - class oracle.dmt.odm.LocationCellAccessData.
This class allows users to specify a particular row and column in specified schema and table.
LocationCellAccessData(String, String, String, ROWID) - Constructor for class oracle.dmt.odm.LocationCellAccessData
Creates an instance of LocationCellAccessData for the specified row and column in specified schema and table.
LocationEqualityLevel - class oracle.dmt.odm.LocationEqualityLevel.
The enumeration class LocationEqualityLevel is used to specify the degree of equality between two LocationAccessData instances.
LogicalDataSpecification - class oracle.dmt.odm.data.LogicalDataSpecification.
An instance of LogicalDataSpecification (LDS) is used to describe the logical characteristics of the data used in model building, and is composed of a set of mining attributes.
LogicalDataSpecification() - Constructor for class oracle.dmt.odm.data.LogicalDataSpecification
Creates an instance of LogicalDataSpecification with the specified array of MiningAttributes.
login() - Method in class oracle.dmt.odm.DataMiningServer
Given the parameters set in the Data Mining Server instance, logs into the server and returns a Connection instance.
logout(Connection) - Method in class oracle.dmt.odm.DataMiningServer
Closes the specified connection to the Data Mining Server.

M

MiningAlgorithm - class oracle.dmt.odm.MiningAlgorithm.
The enumeration class MiningAlgorithm specifies the algorithm used to build a mining model.
MiningAlgorithmSettings - class oracle.dmt.odm.settings.algorithm.MiningAlgorithmSettings.
The abstract class MiningAlgorithmSettings is the common superclass of all mining algorithm settings.
MiningApplyOutput - class oracle.dmt.odm.result.MiningApplyOutput.
An instance of MiningApplyOutput specifies the data (columns) to be included in the apply output table created as the result of the apply mining operation.
MiningApplyOutput() - Constructor for class oracle.dmt.odm.result.MiningApplyOutput
Creates an empty instance of MiningApplyOutput.
MiningApplyResult - class oracle.dmt.odm.result.MiningApplyResult.
An instance of MiningApplyResult represents the result of the apply mining operation.
MiningApplyTask - class oracle.dmt.odm.task.MiningApplyTask.
An instance of MiningApplyTask is used for applying a model to a data set to make predictions, classifications, and to provide associated probabilities.
MiningApplyTask(PhysicalDataSpecification, String, MiningApplyOutput, LocationAccessData, String) - Constructor for class oracle.dmt.odm.task.MiningApplyTask
Creates an instance of the apply task from the given mining data (as a set of records), the model to which the data is applied, and the apply output.
MiningAttribute - class oracle.dmt.odm.data.MiningAttribute.
An instance of MiningAttribute is a logical concept that describes a domain of data to be used as input to data mining operations.
MiningAttribute(String, DataType, AttributeType) - Constructor for class oracle.dmt.odm.data.MiningAttribute
Creates a new MiningAttribute instance.
MiningAttribute(String, DataType, AttributeType, boolean, boolean) - Constructor for class oracle.dmt.odm.data.MiningAttribute
Deprecated. As of 9.2.0.
MiningBuildResult - class oracle.dmt.odm.result.MiningBuildResult.
An instance of MiningBuildResult represents the result of the build mining operation.
MiningBuildTask - class oracle.dmt.odm.task.MiningBuildTask.
An instance of MiningBuildTask is used for building all mining models supported by ODM.
MiningBuildTask(PhysicalDataSpecification, String, String) - Constructor for class oracle.dmt.odm.task.MiningBuildTask
Creates an instance of a build task with the specified mining data, mining function settings, and name for the model.
MiningDataTask - class oracle.dmt.odm.task.MiningDataTask.
The abstract class MiningDataTask is the common superclass for all mining tasks that involve data mining operations e.g, (building models, scoring(apply), testing, cross-validate, lift computation).
MiningFunction - class oracle.dmt.odm.MiningFunction.
The enumeration class MiningFunction specifies the type of mining function to be used to build a mining model.
MiningFunctionSettings - class oracle.dmt.odm.settings.function.MiningFunctionSettings.
The abstract class MiningFunctionSettings (MFS) captures the high level specification input for building a data mining model.
MiningLiftResult - class oracle.dmt.odm.result.MiningLiftResult.
An instance of MiningLiftResult contains the result of a lift computation for a classification model.
MiningLiftTask - class oracle.dmt.odm.task.MiningLiftTask.
An instance of MiningLiftTask is used to compute the lift based on the specified positive target value and the number of quantiles.
MiningLiftTask(PhysicalDataSpecification, int, Category, String, String) - Constructor for class oracle.dmt.odm.task.MiningLiftTask
Creates an instance of the lift task with the specified input data, number of quantiles, positive target value, input model, and the lift result name.
MiningModel - class oracle.dmt.odm.model.MiningModel.
The abstract class MiningModel is the result of a successful build mining operation.
MiningObject - class oracle.dmt.odm.MiningObject.
The class MiningObject represents objects that are used for data mining.
MiningObjectException - exception oracle.dmt.odm.MiningObjectException.
The exception MiningObjectException is thrown when an invalid mining object is detected.
MiningObjectException(int) - Constructor for class oracle.dmt.odm.MiningObjectException
For internal use only.
MiningObjectException(int, Object[]) - Constructor for class oracle.dmt.odm.MiningObjectException
For internal use only.
MiningOperationException - exception oracle.dmt.odm.MiningOperationException.
The exception MiningOperationException is thrown when an error occurs during the execution of a mining operation.
MiningOperationException(int) - Constructor for class oracle.dmt.odm.MiningOperationException
For internal use only.
MiningOperationException(int, Object[]) - Constructor for class oracle.dmt.odm.MiningOperationException
For internal use only.
MiningResult - class oracle.dmt.odm.result.MiningResult.
The abstract class MiningResult is a common superclass for ODM result objects of mining operations (build, apply, test and compute lift).
MiningRule - class oracle.dmt.odm.rule.MiningRule.
An instance of MiningRule represents a rule as produced from the Association Rules model, the Adaptive Bayes Network model, or the Clustering model.
MiningRule(int, float, RuleComponent, RuleComponent) - Constructor for class oracle.dmt.odm.rule.MiningRule
For Internal Use Only.
MiningRuleSet - interface oracle.dmt.odm.rule.MiningRuleSet.
The interface MiningRuleSet provides methods to support retrieval of rules from the Association Rules model, the Adaptive Bayes Network model, and the Clustering model.
MiningStandardType - class oracle.dmt.odm.MiningStandardType.
The enumeration class MiningStandardType specified the format as an exported model should have.
MiningTask - class oracle.dmt.odm.task.MiningTask.
The abstract class MiningTask is the common superclass for all data mining task classes.
MiningTaskException - exception oracle.dmt.odm.task.MiningTaskException.
The exception MiningTaskException is thrown when there is a failure during the execution of a mining task.
MiningTaskException(int) - Constructor for class oracle.dmt.odm.task.MiningTaskException
For internal use only.
MiningTaskException(int, Object[]) - Constructor for class oracle.dmt.odm.task.MiningTaskException
For internal use only.
MiningTaskState - class oracle.dmt.odm.MiningTaskState.
The enumeration class MiningTaskState is used to represent the following states of a mining task: ready - ready to execute, a task will come to this state only after storing the task in the DMS queued - in this state task is in the queue of the DMS initiated - task is dequeued and initiated to execute in the DMS executing - task is getting excuted in the DMS terminating - task is in the process of terminating terminated - task is terminated success - if the task execution succeeds error - if the task execution fails.
MiningTaskStatus - class oracle.dmt.odm.task.MiningTaskStatus.
An instance of MiningTaskStatus provides the following details on the state of a tasks execution: MiningTaskState enumeration State entry timestamp State description A given task may have multiple MiningTaskStatus instances that provide a status history for the task .
MiningTaskStatus(MiningTaskState, Timestamp, String) - Constructor for class oracle.dmt.odm.task.MiningTaskStatus
Creates a MiningTaskStatus instance with the specified MiningTaskState, state entry time stamp, and description.
MiningTestResult - class oracle.dmt.odm.result.MiningTestResult.
An instance of MiningTestResult represents the result of mining test operation.
ModelExportTask - class oracle.dmt.odm.task.ModelExportTask.
An instance of ModelExportTask is used to export ODM mining models to standard format mining model representations.
ModelExportTask(String, LocationCellAccessData, MiningStandardType) - Constructor for class oracle.dmt.odm.task.ModelExportTask
Creates a ModelExportTask object given the MiningStandardType and the location of the cell (that is, row-column intersection) identified by the column name and rowid for a given schema and table name.
ModelImportTask - class oracle.dmt.odm.task.ModelImportTask.
An instance of ModelImportTask is used to import standard format mining models to the DMS.
ModelImportTask(String, LocationCellAccessData, MiningStandardType) - Constructor for class oracle.dmt.odm.task.ModelImportTask
Creates a ModelImportTask object given the MiningStandard and the location of the cell (that is, row-column intersection) identified by the column name and rowid for a given schema and table name.
modelSeeker - Static variable in class oracle.dmt.odm.MiningAlgorithm
Specifies the Model Seeker algorithm for Classification.
ModelSeekerClassificationAlgorithmSettings - class oracle.dmt.odm.settings.algorithm.ModelSeekerClassificationAlgorithmSettings.
An instance of ModelSeekerClassificationAlgorithmSettings is used to specify multiple algorithm settings to be used by Model Seeker.
ModelSeekerClassificationAlgorithmSettings(MiningAlgorithmSettings[]) - Constructor for class oracle.dmt.odm.settings.algorithm.ModelSeekerClassificationAlgorithmSettings
Creates a ModelSeekerClassificationAlgorithmSettings object by invoking the parent constructor with an argument value that identifies the algorithm as the Model Seeker algorithm.
ModelSeekerResult - class oracle.dmt.odm.result.ModelSeekerResult.
An instance of ModelSeekerResult contains the results objects created by the execution of a ModelSeekerTask.
This class contains an array of ModelSeekerResultEntry objects, one for each model built by the ModelSeekerTask execution.
ModelSeekerResultEntry - class oracle.dmt.odm.result.ModelSeekerResultEntry.
An instance of ModelSeekerResultEntry represents the results for a single model built by the execution of a ModelSeekerTask.
This class contains references to other named objects (e.g., MiningTestResult, MiningLiftResult, MiningModel, etc.) associated with the particular model.
ModelSeekerTask - class oracle.dmt.odm.task.ModelSeekerTask.
An instance of ModelSeekerTask is a task used to invoke the Model Seeker functionality.
ModelSeekerTask(String, String, PhysicalDataSpecification, PhysicalDataSpecification, String, int, Category, float) - Constructor for class oracle.dmt.odm.task.ModelSeekerTask
Creates an instance of a ModelSeekerTask with information needed to build multiple models.
ModelTimingRecord - class oracle.dmt.odm.model.ModelTimingRecord.
An instance of ModelTimingRecord provides build statistics resulting from user-specified limits placed on maximum build time using function settings.

N

naiveBayes - Static variable in class oracle.dmt.odm.MiningAlgorithm
Specifies the Naive Bayes mining algorithm for Classification.
NaiveBayes - Static variable in class oracle.dmt.odm.ABNModelBuildState
 
NaiveBayesModel - class oracle.dmt.odm.model.NaiveBayesModel.
An instance of NaiveBayesModel contains the metadata and Bayes statistics from the training run (see class MiningBuildTask).
NaiveBayesSettings - class oracle.dmt.odm.settings.algorithm.NaiveBayesSettings.
An instance of NaiveBayesSettings is used to specify settings for the Naive Bayes algorithm.
NaiveBayesSettings(float, float) - Constructor for class oracle.dmt.odm.settings.algorithm.NaiveBayesSettings
Creates NaiveBayesSettings instance.
NetworkFeature - class oracle.dmt.odm.model.NetworkFeature.
An instance of NetworkFeature consists of ConditionalProbabilityExpressions.
nonTransactional - Static variable in class oracle.dmt.odm.DataFormatType
Specifies the data as nontransactional
NonTransactionalDataSpecification - class oracle.dmt.odm.data.NonTransactionalDataSpecification.
A NonTransactionalDataSpecification instance instructs the DMS to treat associated data as "non-transactional", that is, the data consists of one record (row) per case.
NonTransactionalDataSpecification() - Constructor for class oracle.dmt.odm.data.NonTransactionalDataSpecification
Deprecated. As of 9.2.0, replaced by NonTransactionalDataSpecification(LocationAccessData)
NonTransactionalDataSpecification(LocationAccessData) - Constructor for class oracle.dmt.odm.data.NonTransactionalDataSpecification
Creates a NonTransactionalDataSpecification instance with the specified location access data.
notApplicable - Static variable in class oracle.dmt.odm.AttributeType
Identifies a MiningAttribute, such as keys, that are neither categorical or numerical.
numerical - Static variable in class oracle.dmt.odm.AttributeType
Identifies a MiningAttribute as numerical, eg.
NumericalBin - class oracle.dmt.odm.transformation.NumericalBin.
An entry of class NumericalBin specifies explicit bin boundaries for a numerical mining attribute.
NumericalBin(int, float, float) - Constructor for class oracle.dmt.odm.transformation.NumericalBin
Creates NumericalBin instance that specifies the bin boudaries for a mining attribute.
NumericalBin(int, float, float, String) - Constructor for class oracle.dmt.odm.transformation.NumericalBin
Creates NumericalBin instance that specifies the bin boudaries for a mining attribute.
NumericalDiscretization - class oracle.dmt.odm.transformation.NumericalDiscretization.
NumericalDiscretization contains the binning details for a numerical attribute.
NumericalDiscretization(int) - Constructor for class oracle.dmt.odm.transformation.NumericalDiscretization
Create a NumericalDiscretization instance with the specified number of quantiles.
NumericalDiscretization(NumericalBin[]) - Constructor for class oracle.dmt.odm.transformation.NumericalDiscretization
Create a NumericalDiscretization instance with the specified array of numerical bin boundaries.

O

oCluster - Static variable in class oracle.dmt.odm.MiningAlgorithm
Specifies the OCluster algorithm for Clustering.
OClusterAlgorithmSettings - class oracle.dmt.odm.settings.algorithm.OClusterAlgorithmSettings.
An instance of OClusterAlgorithmSettings holds metadata about settings that are required in the O-Cluster algorithm.
OClusterAlgorithmSettings() - Constructor for class oracle.dmt.odm.settings.algorithm.OClusterAlgorithmSettings
Creates an OClusterAlgorithmSettings object with the the parameter sensitivity set to its default value.
OClusterAlgorithmSettings(float) - Constructor for class oracle.dmt.odm.settings.algorithm.OClusterAlgorithmSettings
Creates an OClusterAlgorithmSettings object with the the parameter sensitivity set to the value of the argument.
ODMConnection - class oracle.dmt.odm.ODMConnection.
For Internal Use Only.
ODMConnection(Connection) - Constructor for class oracle.dmt.odm.ODMConnection
 
ODMException - exception oracle.dmt.odm.ODMException.
The exception ODMException is a common superclass for ODM exceptions.
ODMException(int) - Constructor for class oracle.dmt.odm.ODMException
 
ODMException(int, Object[]) - Constructor for class oracle.dmt.odm.ODMException
 
ODMVersion - class oracle.dmt.odm.version.ODMVersion.
Deprecated. As of ODM 9.2.0. Use oracle.dmt.odm.ODMVersion.

ODMVersion - class oracle.dmt.odm.ODMVersion.
The class ODMVersion provides the product and version information of Oracle9i Data Mining Java API.
ODMVersion() - Constructor for class oracle.dmt.odm.version.ODMVersion
Deprecated. Constructor
ODMVersion() - Constructor for class oracle.dmt.odm.ODMVersion
Creates an instance of ODMVersion.
oracle.dmt.odm - package oracle.dmt.odm
Oracle9i Data Mining (ODM) is a Java API for embedded data mining within the Oracle9i database.
oracle.dmt.odm.data - package oracle.dmt.odm.data
This package contains classes that are used to describe the input data.
oracle.dmt.odm.model - package oracle.dmt.odm.model
This package contains Java classes representing mining models.
oracle.dmt.odm.result - package oracle.dmt.odm.result
This packages contains Java classes representing mining results.
oracle.dmt.odm.rule - package oracle.dmt.odm.rule
This package contains Java classes representing mining rules.
oracle.dmt.odm.settings.algorithm - package oracle.dmt.odm.settings.algorithm
This package contains Java classes representing mining algorithm settings.
oracle.dmt.odm.settings.function - package oracle.dmt.odm.settings.function
This package contains Java classes representing mining function settings.
oracle.dmt.odm.task - package oracle.dmt.odm.task
This package contains Java classes representing mining tasks.
oracle.dmt.odm.transformation - package oracle.dmt.odm.transformation
This package contains Java supporting of data transformations.
oracle.dmt.odm.version - package oracle.dmt.odm.version
Deprecated as of ODM 9.2.0.

P

PairCombinationsOption - class oracle.dmt.odm.PairCombinationsOption.
The enumeration class PairCombinationsOption specifies the combinations of inputs to be used by ModelSeeker.
parallelPairs - Static variable in class oracle.dmt.odm.PairCombinationsOption
 
PASSWORD - Static variable in class oracle.dmt.odm.AccessData
 
PhysicalDataSpecification - class oracle.dmt.odm.data.PhysicalDataSpecification.
The abstract class PhysicalDataSpecification is the common superclass for all data format classes.
PMML20 - Static variable in class oracle.dmt.odm.MiningStandardType
 
Predicate - class oracle.dmt.odm.rule.Predicate.
The abstract class Predicate is the common superclass for SimplePredicate, BooleanPredicate, and CompoundPredicate.
PredicateRuleComponent - class oracle.dmt.odm.rule.PredicateRuleComponent.
An instance of PredicateRuleComponent consists of a predicate - simple, boolean or compound.
PredicateRuleComponent() - Constructor for class oracle.dmt.odm.rule.PredicateRuleComponent
For internal use only
PredicateRuleComponent(Predicate, float) - Constructor for class oracle.dmt.odm.rule.PredicateRuleComponent
For internal use only
predictor - Static variable in class oracle.dmt.odm.AttributeUsage
 
predictorVariance - Static variable in class oracle.dmt.odm.MiningAlgorithm
Specifies the Predictor Variance algorithm for Attribute Importance.
PredictorVarianceSettings - class oracle.dmt.odm.settings.algorithm.PredictorVarianceSettings.
An instance of PredictorVarianceSettings is used to specify parameters for the Predictor Variance algorithm supporting attribute importance.
PredictorVarianceSettings() - Constructor for class oracle.dmt.odm.settings.algorithm.PredictorVarianceSettings
Creates an instance of predictor variance algorithm settings.
PriorProbabilities - class oracle.dmt.odm.PriorProbabilities.
An instance of PriorProbabilities contains prior probabilities corresponding to target values.
PriorProbabilities() - Constructor for class oracle.dmt.odm.PriorProbabilities
Creates an empty PriorProbabilities instance.
PriorProbabilitiesEntry - class oracle.dmt.odm.PriorProbabilitiesEntry.
For internal use only.
probability - Static variable in class oracle.dmt.odm.ApplyResultContentOption
Deprecated. Include the probability associated with a given record's score in the apply output table.
probability - Static variable in class oracle.dmt.odm.RuleAnnotationType
Specifies the probablility associated with the rule.
PROBABILITY_ATTRIBUTE_NAME - Static variable in class oracle.dmt.odm.result.RecordInstance
Constant specifying the name of the probability attribute as used in the apply result.
PRODUCT_NAME - Static variable in class oracle.dmt.odm.version.ODMVersion
Deprecated.  

Q

queued - Static variable in class oracle.dmt.odm.MiningTaskState
In this state task is in the queue of the DMS.

R

ready - Static variable in class oracle.dmt.odm.MiningTaskState
Ready to execute, a task will come to this state only after storing the task in the DMS
RecordInstance - class oracle.dmt.odm.result.RecordInstance.
An instance of RecordInstance represents a single record of data.
RecordInstance() - Constructor for class oracle.dmt.odm.result.RecordInstance
Creates an empty instance of record instance.
RELEASE_STATUS - Static variable in class oracle.dmt.odm.version.ODMVersion
Deprecated.  
remove(Connection, String) - Static method in class oracle.dmt.odm.settings.function.MiningFunctionSettings
Removes the specified mining function settings from the data mining server.
remove(Connection, String) - Static method in class oracle.dmt.odm.result.MiningBuildResult
Removes the MiningBuildResult object.
remove(Connection, String) - Static method in class oracle.dmt.odm.result.ModelSeekerResult
Removes the ModelSeekerResult object of the given name.
remove(Connection, String) - Static method in class oracle.dmt.odm.result.MiningLiftResult
Removes the lift result object with the specified resultName from the DMS.
remove(Connection, String) - Static method in class oracle.dmt.odm.result.MiningApplyResult
Removes the named apply result from the DMS.
remove(Connection, String) - Static method in class oracle.dmt.odm.result.ClassificationTestResult
Removes the specified mining test result from the DMS server.
remove(Connection, String) - Static method in class oracle.dmt.odm.model.MiningModel
Removes the specified mining model from the data mining server together with all its associated rules tables.
remove(Connection, String) - Static method in class oracle.dmt.odm.task.MiningTask
Removes the named task from the DMS.
remove(Connection, String, boolean) - Static method in class oracle.dmt.odm.result.MiningApplyResult
Removes the named apply result from the DMS.
removeMessage(int) - Method in class oracle.dmt.odm.ODMConnection
 
restore(Connection, int) - Method in class oracle.dmt.odm.CategoryMatrix
For internal use only.
restore(Connection, int) - Method in class oracle.dmt.odm.CategoryMatrix
For internal use only.
restore(Connection, String) - Static method in class oracle.dmt.odm.settings.function.MiningFunctionSettings
Returns an instance of MiningFunctionSettings with the specified name persisted in the data mining server given a database connection and the function settings name.
restore(Connection, String) - Static method in class oracle.dmt.odm.settings.function.MiningFunctionSettings
Returns an instance of MiningFunctionSettings with the specified name persisted in the data mining server given a connection to the data mining server and the function settings name.
restore(Connection, String) - Static method in class oracle.dmt.odm.result.MiningBuildResult
Restores the specified object in the ODM schema into the client space.
restore(Connection, String) - Static method in class oracle.dmt.odm.result.ModelSeekerResult
Restores the ModelSeekerResult object of the given name.
restore(Connection, String) - Static method in class oracle.dmt.odm.result.MiningLiftResult
Restores the MiningLiftResult object with the specified resultName from the DMS.
restore(Connection, String) - Static method in class oracle.dmt.odm.result.MiningApplyResult
Retrieves the named apply result from the DMS.
restore(Connection, String) - Static method in class oracle.dmt.odm.result.ClassificationTestResult
Restores the specified mining test result from the DMS server into the client space.
restore(Connection, String) - Static method in class oracle.dmt.odm.model.ClusteringModel
Returns the specified ClusteringModel and populates the complex model object for reading by a user program.
restore(Connection, String) - Static method in class oracle.dmt.odm.model.SupervisedModel
Returns an instance of SupervisedModel with the specified name persisted in the data mining server given a connection to the data mining server and the model name.
restore(Connection, String) - Static method in class oracle.dmt.odm.model.SupervisedModel
Returns an instance of SupervisedModel with the specified name persisted in the data mining server given a database connection to the data mining server and the model name.
restore(Connection, String) - Static method in class oracle.dmt.odm.model.AssociationRulesModel
Returns an instance of AssociationRulesModel with the specified name persisted in the data mining server.
restore(Connection, String) - Static method in class oracle.dmt.odm.model.AttributeImportanceModel
Returns an instance of AttributeImportanceModel with the specified name persisted in the data mining server given a connection to the data mining server and the model name.
restore(Connection, String) - Static method in class oracle.dmt.odm.task.ClassificationTestTask
Restores the named test task object from the DMS.
restore(Connection, String) - Static method in class oracle.dmt.odm.task.ModelImportTask
Restores the user-specified mining import task object from the DMS.
restore(Connection, String) - Static method in class oracle.dmt.odm.task.MiningBuildTask
Restores the user-specified mining build task object from the DMS.
restore(Connection, String) - Static method in class oracle.dmt.odm.task.ModelSeekerTask
Restores the user-specified mining task object from the ODM database.
restore(Connection, String) - Static method in class oracle.dmt.odm.task.MiningLiftTask
Restores the user-specified MiningLiftTask object from the DMS.
restore(Connection, String) - Static method in class oracle.dmt.odm.task.MiningApplyTask
Restores the user-specified mining apply task object from the data mining server.
restore(Connection, String) - Static method in class oracle.dmt.odm.task.ModelExportTask
Restores the user-specified mining export task object from the DMS.
RuleAnnotation - class oracle.dmt.odm.rule.RuleAnnotation.
An instance of RuleAnnotation supports extensible annotations on a MiningRule.
RuleAnnotation(RuleAnnotationType, String) - Constructor for class oracle.dmt.odm.rule.RuleAnnotation
Creates an instance of RuleAnnotation with a RuleAnnoationType and its value.
RuleAnnotationType - class oracle.dmt.odm.RuleAnnotationType.
The enumeration class RuleAnnotationType indicates an annotation type to be contained in an instance of MiningRule.
RuleComponent - class oracle.dmt.odm.rule.RuleComponent.
An instance of RuleComponent can be used as an antecedent or consequent of a MiningRule instance.
RuleComponent(float, ItemValue[]) - Constructor for class oracle.dmt.odm.rule.RuleComponent
Creates an instance of RuleComponent with a support value and an itemset.
RuleSortCriteria - class oracle.dmt.odm.RuleSortCriteria.
The enumeration class RuleSortCriteria provides options for sorting mining rules retrieved from an Association Rules model.

S

schemaLevel - Static variable in class oracle.dmt.odm.LocationEqualityLevel
LocationAcessData instances are equal if the schema values are exact matches.
score - Static variable in class oracle.dmt.odm.ApplyResultContentOption
Deprecated. Include the score associated with a given record in the apply output table.
SCORE_ATTRIBUTE_NAME - Static variable in class oracle.dmt.odm.result.RecordInstance
Constant specifying the name of the score attribute as used in the apply result.
sendMessage(int, String) - Method in class oracle.dmt.odm.ODMConnection
 
sequenceId - Static variable in class oracle.dmt.odm.ApplyResultContentOption
Deprecated. For transactional data only, include the sequence identifier associated with a given record in the score table.
serialize() - Method in class oracle.dmt.odm.DataFormatType
 
serialize() - Method in class oracle.dmt.odm.LocationAccessData
For internal use only.
serialize() - Method in class oracle.dmt.odm.LocatableObject
 
serialize() - Method in class oracle.dmt.odm.data.PhysicalDataSpecification
For internal use only.
serialize() - Method in class oracle.dmt.odm.result.MiningApplyOutput
For internal use only.
setAttributeType(AttributeType) - Method in class oracle.dmt.odm.data.MiningAttribute
Sets the attribute type.
setBooleanOperator(BooleanOperator) - Method in class oracle.dmt.odm.rule.CompoundPredicate
For internal use only
setCompareFunction(ComparisonFunction) - Method in class oracle.dmt.odm.rule.SimplePredicate
For internal use only
setCostMatrix(CategoryMatrix) - Method in class oracle.dmt.odm.settings.function.ClassificationFunctionSettings
Sets the cost matrix to be used for test operation.
setDataType(DataType) - Method in class oracle.dmt.odm.data.Attribute
Sets the attribute data type.
setDataUsageSpecification(DataUsageSpecification) - Method in class oracle.dmt.odm.settings.function.MiningFunctionSettings
Sets a data usage specification to this mining function settings.
setDesiredAccuracy(float) - Method in class oracle.dmt.odm.settings.function.SupervisedFunctionSettings
Deprecated. The parameter accuracy is not used.
setDistanceFunction(DistanceFunction) - Method in class oracle.dmt.odm.settings.algorithm.KMeansAlgorithmSettings
Sets the distance function to be used to train a K-Means ClusteringModel.
setGroupAttribute(Attribute) - Method in class oracle.dmt.odm.data.TransactionalDataSpecification
Deprecated. As of 9.2.0, group identifier is not supported.
setIsKey(boolean) - Method in class oracle.dmt.odm.data.MiningAttribute
Deprecated. As of ODM 9.2.0, use supplemental of AttributeUsage.
setIsParentGroup(boolean) - Method in class oracle.dmt.odm.data.MiningAttribute
Deprecated. As of ODM 9.2.0, nested attribute is not supported.
setItem(MiningAttribute) - Method in class oracle.dmt.odm.rule.SimplePredicate
For internal use only
setLiftCumulative(float) - Method in class oracle.dmt.odm.result.LiftResultElement
For internal use only.
setLiftQuantile(float) - Method in class oracle.dmt.odm.result.LiftResultElement
For internal use only.
setLocale(Locale) - Method in interface oracle.dmt.odm.Connection
Sets the locale in the Data Mining Server.
setLocale(Locale) - Method in class oracle.dmt.odm.ODMConnection
For Internal Use only.
setMaximumBuildTime(int) - Method in class oracle.dmt.odm.settings.algorithm.AdaptiveBayesNetworkSettings
Sets the maximum build time.
setMaximumConsecutivePrunedNetworkFeatures(int) - Method in class oracle.dmt.odm.settings.algorithm.AdaptiveBayesNetworkSettings
Sets the maximum number of consecutive pruned features before halting the stepwise selection process.
setMaximumNetworkFeatureDepth(int) - Method in class oracle.dmt.odm.settings.algorithm.AdaptiveBayesNetworkSettings
Sets the maximum depth of any NetworkFeature.
setMaximumNumberOfNetworkFeatures(int) - Method in class oracle.dmt.odm.settings.algorithm.AdaptiveBayesNetworkSettings
Sets the maximum number of seed NetworkFeatures trees that are candidates for extension and size of baseline Naive Bayes model.
setMaxNumberOfClusters(int) - Method in class oracle.dmt.odm.settings.function.ClusteringFunctionSettings
Sets maximum number of clusters a model built with this MFS can have.
setMaxNumberOfIterations(int) - Method in class oracle.dmt.odm.settings.algorithm.KMeansAlgorithmSettings
Sets the maximum number of K-Means iterations between splits while training a K-Means ClusteringModel.
setMinErrorTolerance(float) - Method in class oracle.dmt.odm.settings.algorithm.KMeansAlgorithmSettings
Sets the minimum percentual change in error between K-Means iterations to consider that K-Means has converged.
setMiningAlgorithmName(String) - Method in class oracle.dmt.odm.settings.function.MiningFunctionSettings
Deprecated. As of ODM 9.2.0.
setMiningAlgorithmSettings(MiningAlgorithmSettings) - Method in class oracle.dmt.odm.settings.function.MiningFunctionSettings
Sets a mining algorithm settings to be used to build a model.
setMiningFunction(MiningFunction) - Method in class oracle.dmt.odm.settings.function.MiningFunctionSettings
Deprecated. As of ODM 9.2.0.
setModelNameForMig(String) - Method in class oracle.dmt.odm.model.MiningModel
For internal use only
setNumberOfNonTargetsCumulative(int) - Method in class oracle.dmt.odm.result.LiftResultElement
For internal use only.
setNumberOfTargetsCumulative(int) - Method in class oracle.dmt.odm.result.LiftResultElement
For internal use only.
setPairwiseThreshold(float) - Method in class oracle.dmt.odm.settings.algorithm.NaiveBayesSettings
Sets the pairwise threshold.
setPercentageOfRecordsCumulative(float) - Method in class oracle.dmt.odm.result.LiftResultElement
For internal use only.
setPredicate(Predicate) - Method in class oracle.dmt.odm.rule.PredicateRuleComponent
For internal use only
setPreparationStatus(DataPreparationStatus) - Method in class oracle.dmt.odm.settings.function.DataUsageEntry
Sets the DataPreparationStatus enum value for the mining attribute.
setPriors(PriorProbabilities) - Method in class oracle.dmt.odm.settings.function.ClassificationFunctionSettings
Sets the prior probabilities of the input data.
setSensitivity(float) - Method in class oracle.dmt.odm.settings.algorithm.OClusterAlgorithmSettings
Sets the value of the sensitivity parameter.
setSingletonThreshold(float) - Method in class oracle.dmt.odm.settings.algorithm.NaiveBayesSettings
Sets the singleton threshold.
setStopCriterion(ClusteringStoppingCriterion) - Method in class oracle.dmt.odm.settings.algorithm.KMeansAlgorithmSettings
Sets the StopCriterion to be used to train a K-Means ClusteringModel.
setTargetDensity(float) - Method in class oracle.dmt.odm.result.LiftResultElement
For internal use only.
setTargetDensityCumulative(float) - Method in class oracle.dmt.odm.result.LiftResultElement
For internal use only.
setupJMS() - Method in class oracle.dmt.odm.ODMConnection
 
setUsage(AttributeUsage) - Method in class oracle.dmt.odm.settings.function.DataUsageEntry
Sets the AttributeUsage enum value for the mining attribute.
setValidateBeforeStore(boolean) - Method in class oracle.dmt.odm.settings.function.MiningFunctionSettings
Indicates that the mining function settings object is validated, if true, before it is persisted in the DMS.
setValueCount(int) - Method in class oracle.dmt.odm.data.MiningAttribute
Deprecated. As of ODM 9.2.0, distinct values are not counted.
SimplePredicate - class oracle.dmt.odm.rule.SimplePredicate.
An instance of SimplePredicate consists of a single comparison between a mining attribute value and a set of constants.
SimplePredicate() - Constructor for class oracle.dmt.odm.rule.SimplePredicate
For internal use only
SimplePredicate(SimplePredicate) - Constructor for class oracle.dmt.odm.rule.SimplePredicate
For internal use only
store(Connection, String) - Method in class oracle.dmt.odm.settings.function.MiningFunctionSettings
Persists this instance of mining function settings with the given name in the specified ODM schema.
store(Connection, String) - Method in class oracle.dmt.odm.task.MiningTask
Persists persist the mining task details in the DMS with the specified name.
stringType - Static variable in class oracle.dmt.odm.DataType
String data type
success - Static variable in class oracle.dmt.odm.MiningTaskState
If the task execution succeeds.
sumAllCells() - Method in class oracle.dmt.odm.CategoryMatrix
Returns the sum of all cells in the matrix.
sumForColumn(Category) - Method in class oracle.dmt.odm.CategoryMatrix
Returns sum of all cells in the given column index of the matrix.
sumForRow(Category) - Method in class oracle.dmt.odm.CategoryMatrix
Returns sum of all cells in the given row index of the matrix
SupervisedFunctionSettings - class oracle.dmt.odm.settings.function.SupervisedFunctionSettings.
SupervisedFunctionSettings describes settings for supervised learning functions.
SupervisedFunctionSettings(float, LogicalDataSpecification, DataUsageSpecification, MiningFunction) - Constructor for class oracle.dmt.odm.settings.function.SupervisedFunctionSettings
Deprecated. As of ODM 9.2.0. The parameter accuracy is not used. Use other constructor without accuracy parameter.
SupervisedFunctionSettings(float, LogicalDataSpecification, DataUsageSpecification, MiningFunction, MiningAlgorithmSettings) - Constructor for class oracle.dmt.odm.settings.function.SupervisedFunctionSettings
Deprecated. As of ODM 9.2.0. The parameter accuracy is not used. Use other constructor without accuracy parameter.
SupervisedFunctionSettings(LogicalDataSpecification, DataUsageSpecification, MiningFunction, MiningAlgorithmSettings) - Constructor for class oracle.dmt.odm.settings.function.SupervisedFunctionSettings
Creates an instance of SupervisedFunctionSettings object.
SupervisedModel - class oracle.dmt.odm.model.SupervisedModel.
The abstract class SupervisedModel serves as a common superclass for supervised learning models.
supplementary - Static variable in class oracle.dmt.odm.AttributeUsage
 
support - Static variable in class oracle.dmt.odm.RuleSortCriteria
Sort by the support associated with each rule in the rule set.

T

target - Static variable in class oracle.dmt.odm.AttributeUsage
 
terminate(Connection, String) - Static method in class oracle.dmt.odm.task.MiningTask
Terminates a queued/initiated/executing task in the DMS.
terminated - Static variable in class oracle.dmt.odm.MiningTaskState
Task is terminated.
terminating - Static variable in class oracle.dmt.odm.MiningTaskState
Task is in the process of terminating.
test(Connection, LocationAccessData, PhysicalDataSpecification, String, String) - Static method in class oracle.dmt.odm.model.SupervisedModel
Deprecated. As of ODM 9.2.0. Use MiningTestTask to perform the test mining operation.
toString() - Method in class oracle.dmt.odm.CategoryMatrixEntry
For internal use only.
toString() - Method in class oracle.dmt.odm.AccessData
Converts a access data information contained in the object into a single string.
toString() - Method in class oracle.dmt.odm.CategoryMatrix
Returns a formatted string representation of a CategoryMatrix instance.
toString() - Method in class oracle.dmt.odm.Location
Converts a location information contained in the object into a single string.
toString() - Method in class oracle.dmt.odm.LocationAccessData
Converts location information contained in the object into a single string, which can then be used to create a LocationAccessData object.
toString() - Method in class oracle.dmt.odm.Category
Returns a formatted string representation of the Category instance.
toString() - Method in class oracle.dmt.odm.rule.MiningRule
Returns a formatted string representation of the mining rule for the convenience of display.
toString() - Method in class oracle.dmt.odm.result.LiftResultElement
Returns a formatted string representation of the lift element for the convenience of display.
toString() - Method in class oracle.dmt.odm.result.MiningLiftResult
Returns a formatted string representation of the lift result.
toString() - Method in class oracle.dmt.odm.result.MiningApplyResult
Returns a formatted string representation of apply result.
toString() - Method in class oracle.dmt.odm.result.ClassificationTestResult
Converts the mining test result to a string representation for convienent output.
toString() - Method in class oracle.dmt.odm.model.AttributeImportanceEntry
Returns a formatted string representation of the entry.
toString() - Method in class oracle.dmt.odm.task.MiningTaskStatus
Converts object to a string representation.
transactional - Static variable in class oracle.dmt.odm.DataFormatType
Specifies the data as transactional
TransactionalDataSpecification - class oracle.dmt.odm.data.TransactionalDataSpecification.
An instance of TransactionalDataSpecification instructs the DMS to treat associated data as transactional, i.e., a given case is stored in multiple records in a table with column roles: sequenceID, attributeName, and value.
TransactionalDataSpecification(String, String, String) - Constructor for class oracle.dmt.odm.data.TransactionalDataSpecification
Deprecated. As of 9.2.0, replaced by TransactionalDataSpecification(seqId, attrName, value, LocationAccessData)
TransactionalDataSpecification(String, String, String, LocationAccessData) - Constructor for class oracle.dmt.odm.data.TransactionalDataSpecification
Creates an instance of TransactionalDataSpecification with the specified identifier attributes.
Transformation - class oracle.dmt.odm.transformation.Transformation.
An instance of Transformation is used to prepare input data for use in data mining operations in ODM.
Transformation() - Constructor for class oracle.dmt.odm.transformation.Transformation
 
TreeNode - class oracle.dmt.odm.model.TreeNode.
An instance of TreeNode characterizes a partition of a multidimensional dataset.
TreeNode() - Constructor for class oracle.dmt.odm.model.TreeNode
 

U

unprepared - Static variable in class oracle.dmt.odm.DataPreparationStatus
 
UsageAdjustment - class oracle.dmt.odm.UsageAdjustment.
The enumeration class UsageAdjustment specifies how the usage of a set of mining attributes is to be changed in association with Attribute Importance results.
USER - Static variable in class oracle.dmt.odm.AccessData
 

V

validate() - Method in class oracle.dmt.odm.CategoryMatrix
Validates the matrix to ensure all entries have a valid value and all diagonal entries have a zero value.
validate() - Method in class oracle.dmt.odm.PriorProbabilities
Validates the set of priors entries to ensure all probability values are between 0 and 1 and the total of all values is less than or equal to 1.
validate() - Method in class oracle.dmt.odm.data.TransactionalDataSpecification
Validates this instance of TransactionalDataSpecification.
validate() - Method in class oracle.dmt.odm.settings.algorithm.AdaptiveBayesNetworkSettings
Validates all settings (except maximumConsecutivePrunedNetworkFeatures) have values greater than zero.
validate() - Method in class oracle.dmt.odm.settings.algorithm.NaiveBayesSettings
Validates the thresholds of the NaiveBayesSettings.
validate() - Method in class oracle.dmt.odm.settings.function.AssociationRulesFunctionSettings
Validates the correctness of this function settings.
validate() - Method in class oracle.dmt.odm.settings.function.ClusteringFunctionSettings
Validates the correctness of this function settings.
validate() - Method in class oracle.dmt.odm.settings.function.AttributeImportanceFunctionSettings
Validates if this mining function settings is valid.
validate() - Method in class oracle.dmt.odm.settings.function.ClassificationFunctionSettings
Validates the contents of this mining function settings.
validate() - Method in class oracle.dmt.odm.result.MiningApplyOutput
Validates if the content of this apply output object can produce a valid output table.
validate(Connection) - Method in class oracle.dmt.odm.LocationAccessData
Validates that connection specifes an actual location.
validate(Connection) - Method in class oracle.dmt.odm.LocationCellAccessData
Validate that connection specifes an actual location.
VERSION - Static variable in class oracle.dmt.odm.version.ODMVersion
Deprecated.  

W

waitForCompletion(Connection) - Method in class oracle.dmt.odm.task.MiningTask
Waits for task completion after executing the task.
waitForCompletion(Connection, long) - Method in class oracle.dmt.odm.task.MiningTask
Waits for the task completion after executing the task.

A B C D E F G I K L M N O P Q R S T U V W