Serialized Form
m_userName
java.lang.String m_userName
m_password
java.lang.String m_password
m_attribute
MiningAttribute m_attribute
m_displayName
java.util.Vector m_displayName
m_frequency
java.util.Vector m_frequency
m_numberOfBins
int m_numberOfBins
m_count
int m_count
m_attributeValue
Category m_attributeValue
m_displayName
java.lang.String m_displayName
- Display name of the Category
m_value
java.lang.String m_value
- Value of the Category
m_dataType
DataType m_dataType
- Data type of the Category
m_matrixVector
java.util.Vector m_matrixVector
- A vector that will be used to store a list of category matrix entry
java objects.
m_diagonalDefault
float m_diagonalDefault
- Default values for diagonal elements of the matrix.
m_offDiagonalDefault
float m_offDiagonalDefault
- Default value for non-diagonal elements.
m_rowValue
Category m_rowValue
- A Category that will be used to store row information of a matrix.
m_columnValue
Category m_columnValue
- A Category that will be used to store column information of a matrix.
m_value
float m_value
- A Category value at (m_rowValue, m_columnValue) position.
value
java.lang.String value
ID
int ID
m_objectName
java.lang.String m_objectName
m_schemaName
java.lang.String m_schemaName
m_location
Location m_location
m_columnName
java.lang.String m_columnName
m_bytesROWID
byte[] m_bytesROWID
readObject
private void readObject(java.io.ObjectInputStream in)
throws java.io.IOException,
java.lang.ClassNotFoundException
className
java.lang.Class className
m_tImmutazingThread
java.lang.Thread m_tImmutazingThread
- Synchronization functions and variables fro immutability are below
m_nBusyCount
int m_nBusyCount
m_errorCode
int m_errorCode
m_parameters
java.lang.Object[] m_parameters
m_priorVector
java.util.Vector m_priorVector
m_targetValue
Category m_targetValue
m_priorProbability
float m_priorProbability
Package oracle.dmt.odm.data |
m_name
java.lang.String m_name
m_dataType
DataType m_dataType
m_value
java.lang.String m_value
m_attributes
java.util.Vector m_attributes
m_attributeType
AttributeType m_attributeType
- This indicates the type of this mining attribute.
One may argue that this must be specified in attribute usage because this is about how an attribute is used.
Also, it is possible that an attribute may be both categorical and numerical in some rare cases.
In ODM, however, we don't support this notion and hence this indicator may as well be here.
m_isKey
boolean m_isKey
m_nestedAttributes
java.util.Vector m_nestedAttributes
m_isParentGroup
boolean m_isParentGroup
m_isNested
boolean m_isNested
m_valueCount
int m_valueCount
format
DataFormatType format
ladLocAccessData
LocationAccessData ladLocAccessData
m_sequenceIdAttribute
Attribute m_sequenceIdAttribute
- Identifies the mining attribute to be used as transaction ID.
m_attributeIdAttribute
Attribute m_attributeIdAttribute
- Points to the mining attribute that represents attribute ID of each
transaction. When we populate attribute usage entries off the
discretization tables, this attribute is used to create mining attributes
that are values of this column.
m_valueIdAttribute
Attribute m_valueIdAttribute
- Identifies the mining attribute that represents the value of each
transaction (optional).
m_groupIdIdAttribute
Attribute m_groupIdIdAttribute
- If lack of domain ID causes TNB a problem, throw an exception.
INT_DATATYPE
java.lang.String INT_DATATYPE
STRING_DATATYPE
java.lang.String STRING_DATATYPE
FLOAT_DATATYPE
java.lang.String FLOAT_DATATYPE
Package oracle.dmt.odm.model |
m_parentChildTableName
java.lang.String m_parentChildTableName
m_nodeTableName
java.lang.String m_nodeTableName
m_valueTableName
java.lang.String m_valueTableName
m_timingTableName
java.lang.String m_timingTableName
m_numberOfTransactions
int m_numberOfTransactions
- The number of transactions from which the model was built.
m_maxNumberOfItemsPerTransaction
int m_maxNumberOfItemsPerTransaction
- The size of the largest transaction in terms of the number of
items in it.
m_avgNumberOfItemsPerTransaction
float m_avgNumberOfItemsPerTransaction
- The average size of the transactions in terms of the number
of items.
m_numberOfItems
int m_numberOfItems
- The total number of items that are present in the transaction
from which the model was built.
m_numberOfRules
int m_numberOfRules
- The number of rules identified.
m_ruleTableName
java.lang.String m_ruleTableName
- The associated rules table name. Note that this table name
alone cannot locate the table. The table is always stored in conjunction
with the model.
m_antecedentTableName
java.lang.String m_antecedentTableName
- Represents the associated antecedent table name. Note that this table
name alone cannot locate the table. The table is always stored in conjunction
with the model.
m_items
java.util.Vector m_items
- A list of the items that were used for building the model.
m_attributeImportanceEntry
java.util.Vector m_attributeImportanceEntry
m_tableName
java.lang.String m_tableName
m_clModel
ClusteringModel m_clModel
m_id
int m_id
m_recordCount
int m_recordCount
m_centroid
ClusterCentroid m_centroid
m_distribution
oracle.dmt.odm.model.ClusterDistribution m_distribution
m_level
int m_level
m_parent
Cluster m_parent
m_child
java.util.Vector m_child
m_splitPredicate
Predicate m_splitPredicate
m_entries
java.util.Vector m_entries
m_attribute
MiningAttribute m_attribute
m_value
Category m_value
m_numberOfClusters
int m_numberOfClusters
m_numberOfLeaves
int m_numberOfLeaves
m_root
int m_root
m_numberOfLevels
int m_numberOfLevels
m_inputDataRecordCount
int m_inputDataRecordCount
m_priorTableName
java.lang.String m_priorTableName
m_condProbTableName
java.lang.String m_condProbTableName
m_rulesTableName
java.lang.String m_rulesTableName
m_clusterTableName
java.lang.String m_clusterTableName
m_count
int m_count
m_probability
float m_probability
m_consequentMiningAttribute
MiningAttribute m_consequentMiningAttribute
m_antecedentMiningAttribute
java.util.Vector m_antecedentMiningAttribute
m_maValue
java.util.Hashtable m_maValue
function
MiningFunction function
algortihm
MiningAlgorithm algortihm
- Indicates the mining algorithm used to create the model.
settings
MiningFunctionSettings settings
- Indicates the mining function settings used to build the model. The mining function settings can be persistent by itself (for phase II).
BinNumericTableName
java.lang.String BinNumericTableName
BinCategoricalTableName
java.lang.String BinCategoricalTableName
modelName
java.lang.String modelName
m_featureNum
int m_featureNum
m_depth
int m_depth
m_segmentBuildTime
int m_segmentBuildTime
m_featureScoringTime
int m_featureScoringTime
m_estFeatureScoringTime
int m_estFeatureScoringTime
m_isTerminated
boolean m_isTerminated
m_isAccepted
boolean m_isAccepted
m_condProbExpr
java.util.Vector m_condProbExpr
m_targetValueCount
int m_targetValueCount
- Deprecated. Replaced with
m_numberOfPriors
.
- The number of distinct values in the target attribute
m_conditionsTableName
java.lang.String m_conditionsTableName
- conditions table
m_priorsTableName
java.lang.String m_priorsTableName
- priors table
m_costMatrixTableName
java.lang.String m_costMatrixTableName
m_numberOfConditions
int m_numberOfConditions
m_numberOfPriors
int m_numberOfPriors
m_predicate
Predicate m_predicate
m_childNodes
java.util.Vector m_childNodes
m_predictedTargetValue
Category m_predictedTargetValue
m_treeNum
int m_treeNum
m_parent
TreeNode m_parent
Package oracle.dmt.odm.result |
m_destinationAttribute
Attribute m_destinationAttribute
- This indicates the column name to appear in the apply output table.
m_contentOption
ApplyResultContentOption m_contentOption
- Deprecated.
m_nPairs
int m_nPairs
m_useTop
boolean m_useTop
m_probabilityColumn
Attribute m_probabilityColumn
m_sourceAttribute
MiningAttribute m_sourceAttribute
m_targetValue
java.util.Vector m_targetValue
m_probabilityColumn
Attribute m_probabilityColumn
m_rankColumn
Attribute m_rankColumn
m_id
float m_id
- test result id in EIS classification test result table
m_accuracy
float m_accuracy
- The percentage of correct classification
m_confusionMatrix
CategoryMatrix m_confusionMatrix
- This represents the confusion matrix for this test result.
A confusion matrix is a matrix whose rows and columns are the target
categories used to build the classifier. It is one of the factors to
measure the goodness of them odel. Each entry in the matrix contains
the value of classification results from the test data (i.e., the actual
target versus the predicted target). The rows indicate the actual target
categories, whereas the columns indicates the predicted (classified)
target categories.
m_percentageOfRecordsCumulative
float m_percentageOfRecordsCumulative
- This indicates the percentage of the records up to this quantile.
m_liftQuantile
float m_liftQuantile
- This indicates the lift value of this quantile.
m_liftCumulative
float m_liftCumulative
- This indicates the cumulative lift value up to this quantile.
m_numberOfTargetsCumulative
int m_numberOfTargetsCumulative
- This indicates the cumulative number of targets up to this quantile.
m_numberOfNonTargetsCumulative
int m_numberOfNonTargetsCumulative
- This indicates the cumulative number of non-targets up to this quantile.
m_targetDensity
float m_targetDensity
- This indicates the percentage of target values in this quantile.
m_targetDensityCumulative
float m_targetDensityCumulative
- This indicates the percentage of cumulative target values up to this quantile.
m_items
java.util.Vector m_items
- This contains an ordered list of apply content items.
m_schemaName
java.lang.String m_schemaName
m_applyOutputTableName
java.lang.String m_applyOutputTableName
m_functionSettingsName
java.lang.String m_functionSettingsName
m_algorithmName
java.lang.String m_algorithmName
liftResultElement
java.util.Vector liftResultElement
- This contains the list of the lift elements.
m_name
java.lang.String m_name
- The name of the result in the context of where it is persisted.
In other words, the name alone cannot be used to locate the result.
m_startingTimestamp
java.util.Date m_startingTimestamp
- This indicates the time when the result was started.
m_completionTimestamp
java.util.Date m_completionTimestamp
- This indicates the time when the result was completed.
m_inputMiningData
Location m_inputMiningData
- This indicates the location of the mining data from which the result
was generated.
m_miningModel
java.lang.String m_miningModel
- This indicates the name of the mining model in ODM schema,
ODM_MINGING_MODEL from which the result was generated.
m_nullCount
int m_nullCount
m_percentageMissingTargets
float m_percentageMissingTargets
m_percentageMissingPredictors
float m_percentageMissingPredictors
m_msResultID
long m_msResultID
m_msResultEntries
ModelSeekerResultEntry[] m_msResultEntries
m_indxBestModel
int m_indxBestModel
m_locTestData
java.lang.String m_locTestData
m_settingName
java.lang.String m_settingName
m_modelName
java.lang.String m_modelName
m_algorithmType
MiningAlgorithm m_algorithmType
m_buildDuration
long m_buildDuration
m_testResultName
java.lang.String m_testResultName
m_liftResultName
java.lang.String m_liftResultName
m_CFSName
java.lang.String m_CFSName
m_figureOfMerit
float m_figureOfMerit
m_values
java.util.Vector m_values
m_pred
AttributeInstance m_pred
m_prob
AttributeInstance m_prob
Package oracle.dmt.odm.rule |
m_name
java.lang.String m_name
m_value
java.lang.String m_value
m_ruleId
int m_ruleId
m_support
float m_support
m_antecedent
RuleComponent m_antecedent
m_consequent
RuleComponent m_consequent
m_annotation
java.util.Vector m_annotation
m_type
RuleAnnotationType m_type
m_value
java.lang.String m_value
Package oracle.dmt.odm.settings.algorithm |
m_depth
int m_depth
m_numOfNetworkFeature
int m_numOfNetworkFeature
m_numOfConsecutivePrunedNF
int m_numOfConsecutivePrunedNF
m_buildTime
int m_buildTime
m_maximumNetworkFeatureDepthArray
int[] m_maximumNetworkFeatureDepthArray
m_bBad
boolean m_bBad
m_sParams
java.lang.String m_sParams
m_singleThresholdArray
float[] m_singleThresholdArray
m_pairwiseThresholdArray
float[] m_pairwiseThresholdArray
m_combination_option
PairCombinationsOption m_combination_option
Iterations
int Iterations
Distance
DistanceFunction Distance
Error
float Error
StopCriterion
ClusteringStoppingCriterion StopCriterion
m_algorithm
MiningAlgorithm m_algorithm
m_masArray
MiningAlgorithmSettings[] m_masArray
m_singletonThreshold
float m_singletonThreshold
m_pairwiseThreshold
float m_pairwiseThreshold
m_sensitivity
float m_sensitivity
Package oracle.dmt.odm.settings.function |
m_minimumSupport
float m_minimumSupport
- Specifies the minimum support value for the large itemsets (0..1].
Typically, this value is very small (e.g., 0.01)
m_minimumConfidence
float m_minimumConfidence
- Specifies the minimum confidence value for the rules (0..1].
Typically, this value is close to 1 (e.g., 0.9)
m_maximumRuleLength
int m_maximumRuleLength
- This specifies the maxinum length of the rules in terms of the number
of items in the rules. This is used as a constraint to the function
in order to finish the function quickly.
m_excludedCategory
java.util.Vector m_excludedCategory
- This is a list of categories that are not to be used for rule discovery.
This is used as a constraint to the function in order to finish the function
quickly.
It is not used for ODM 1.
m_prior
PriorProbabilities m_prior
m_costMatrix
CategoryMatrix m_costMatrix
m_maxNumberOfClusters
int m_maxNumberOfClusters
m_usage
AttributeUsage m_usage
m_attribute
MiningAttribute m_attribute
m_preparationStatus
DataPreparationStatus m_preparationStatus
m_usageEntries
java.util.Vector m_usageEntries
readObject
private void readObject(java.io.ObjectInputStream in)
throws java.io.IOException,
java.lang.ClassNotFoundException
- This method is invoked when an MFS is restored.
This method converts 9.0.1 MFS object to 9.2.0 compatible one.
validateBeforeStore
boolean validateBeforeStore
m_name
java.lang.String m_name
- This identifies the name of this
MiningFunctionSettings
object.
m_miningFunction
MiningFunction m_miningFunction
- This identifies the mining function to be performed. ODM supports only three
functions: association rules, classification and regression.
m_algorithmSettings
MiningAlgorithmSettings m_algorithmSettings
- This refers to the mining algorithms object that specifies the detailed parameters
of the function. If omitted, the underlying mining data system selects a mining
algorithm based on the other parameters specified in the mining function settings
object.
m_usageSpecification
DataUsageSpecification m_usageSpecification
- This refers to an attribute usage specification object that describes how each
mining attribute is to be interpreted and used.
m_logicalDataSpec
LogicalDataSpecification m_logicalDataSpec
- This refers to a mining data specification object that contains the mining
attributes to be used for the specified mining function.
The user must provide a LDS when creating a MFS object.
m_algorithmName
java.lang.String m_algorithmName
m_desiredAccuracy
float m_desiredAccuracy
- This specifies the desired accuracy of the resulting model. It is not mandatopry,
and the data mining system does its best to achieve this level of accuracy whenever
possible.
Package oracle.dmt.odm.task |
m_testResultName
java.lang.String m_testResultName
- This indicates the name of the test results.
m_crossValidateSettingsName
java.lang.String m_crossValidateSettingsName
- Cross-validate mining function settings
m_applyOutput
MiningApplyOutput m_applyOutput
m_applyOutputLoc
LocationAccessData m_applyOutputLoc
m_applyResultName
java.lang.String m_applyResultName
m_settingsName
java.lang.String m_settingsName
m_resultModelName
java.lang.String m_resultModelName
m_taskInputData
PhysicalDataSpecification m_taskInputData
m_inputModelName
java.lang.String m_inputModelName
- This specifies the name of the input mining model
m_numberOfQuantiles
int m_numberOfQuantiles
- Number of quantiles
m_positiveTargetValue
Category m_positiveTargetValue
- Specifies the positive target value to be used for compute lift.
m_liftResultName
java.lang.String m_liftResultName
- Name of the lift computation results
m_taskName
java.lang.String m_taskName
m_taskType
java.lang.String m_taskType
m_taskId
int m_taskId
m_aqMsgID
java.lang.String m_aqMsgID
m_exportModelLocation
LocationCellAccessData m_exportModelLocation
m_miningStandardType
MiningStandardType m_miningStandardType
m_inputModelName
java.lang.String m_inputModelName
m_importModelLocation
LocationCellAccessData m_importModelLocation
m_miningStandardType
MiningStandardType m_miningStandardType
m_outputModelName
java.lang.String m_outputModelName
m_resultName
java.lang.String m_resultName
m_prefix
java.lang.String m_prefix
m_testLiftPDS
PhysicalDataSpecification m_testLiftPDS
m_numberOfQuantilesForLift
int m_numberOfQuantilesForLift
m_positiveTargetValue
Category m_positiveTargetValue
m_weight
float m_weight
m_bBad
boolean m_bBad
m_sParams
java.lang.String m_sParams
Package oracle.dmt.odm.transformation |
mName
java.lang.String mName
mBinningDetails
AttributeDiscretization mBinningDetails