Package oracle.dmt.odm.model

This package contains Java classes representing mining models.

See:
          Description

Class Summary
ClassDescription
AdaptiveBayesNetworkModel An instance of AdaptiveBayesNetworkModel contains the metadata and rules tables from a model build.
AssociationRulesModel The abstract class AssociationRulesModel is a Java representation of the association rules model.
AttributeImportanceEntry An instance of AttributeImortanceEntry class represents an attribute with its importance found by running an attribute importance algorithm.
AttributeImportanceModel The abstract class AttributeImportanceModel is a Java representation of the attribute importance model.
Cluster An instance of Cluster holds the metadata about a cluster in a CluteringModel.
ClusterCentroid An instance of ClusterCentroid holds metadata about the centroid of a cluster.
ClusterCentroidEntry An instance of ClusterCentroidEntry contains one attribute and value pair for a cluster centroid.
ClusteringModel An instance of ClusteringModel holds the metadata of the result of a trained clustering model.
ConditionalProbabilityExpression An instance of ConditionalProbabilityExpression contains the probability of a consequent conditioned on an array of antecedent values.
MiningModel The abstract class MiningModel is the result of a successful build mining operation.
ModelTimingRecord An instance of ModelTimingRecord provides build statistics resulting from user-specified limits placed on maximum build time using function settings.
NaiveBayesModel An instance of NaiveBayesModel contains the metadata and Bayes statistics from the training run (see class MiningBuildTask).
NetworkFeature An instance of NetworkFeature consists of ConditionalProbabilityExpressions.
SupervisedModel The abstract class SupervisedModel serves as a common superclass for supervised learning models.
TreeNode An instance of TreeNode characterizes a partition of a multidimensional dataset.
 

Package oracle.dmt.odm.model Description

This package contains Java classes representing mining models. Mining models are named objects that can be built by either invoking a static build method or executing a build task. Mining model subclasses also provide other static methods such as apply, test, and compute lift (for supervised and clustering models), and for association rules modes, various rule retrieval methods.

Oracle9i Data Mining supports the following types of mining model: