Class | Description |
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 ConditionalProbabilityExpression s. |
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. |
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.