Package oracle.dmt.odm.model

This package contains Java classes representing mining models.

See:
Description

Interface Summary

Feature	The feature is an entity that consists of multiple attributes.
FeatureEntry	The FeatureEntry constitutes a feature of a feature extraction model.

Class Summary

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	Deprecated. As of ODM 10.1.0, this class is not supported.
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.
NMFFeature	The feature is an entity that consists of multiple attributes.
NMFFeatureEntry	The NMFFeatureEntry is a pair of attribute name and value, and its coefficient that constitute a feature of a NMF feature extraction model.
NMFModel	The abstract class NMFModel is a Java representation of the Non-negative matrix factorization(NMF) model.
SupervisedModel	The abstract class SupervisedModel serves as a common superclass for supervised learning models.
SupportVectorMachineModel	An instance of SupportVectorMachineModel contains the metadata and tables from a model build.
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:

• AssociationRulesModel
• AttributeImportanceModel
• ClusteringModel
• SupervisedModel
  • NaiveBayesModel: Classification
  • AdaptiveBayesNetworkModel: Classification (decision tree)
  • SupportVectorMachineModel: Classification, Approximation
• FeatureExtractionModel
  • NMFModel