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Oracle Data Mining Java API Reference 11g Release 1 (11.1) B28132-01 |
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A C D E F G I L M N O P Q R S T U V W Z
expression
involving the attribute specified in inputAttr
with corresponding optional inverseExpression
.name
to OraABNModelType
.name
to OraSplitCriterion
.name
to OraFeatureExtractionApplyContent
.name
to OraCategoricalBinningType
.name
to OraNumericalBinningType
.name
to OraClippingType
.name
to OraNormalizeType
.AdaptiveBayesNetworkSettings
initialized to system default values.AdaptiveBayesNetworkSettings
with user specfied values.Interval
that represents the specified interval boundaries.ClassificationApplySettings
.FeatureExtractionSettings
for building a Feature Extraction Model initialized to vendor-specific default values.OraTransformationTask
with the specified the transformation.OraTransformationTask
with the specified transformation sequenece name.OraExplainTask
that is used to produce importance and ranks for the columns with respect to the explain column in the input dataset.OraExpressionTransform
object.OraExpressionTransform
object using the specified fixed schema expression table as an input.OraGLMClassificationSettings
with default settings.OraGLMRegressionSettings
with default settings.OraPredictTask
that is used to produce predictions for the specified target column in the input dataset as predictions output table.OraProfileTask
allows users to segment data based on some target attribute and value.OraExpressionTransform
object.java.sql.ResultSet
that contains the following columns: CLASS String => Target value.OraExpressionElement
instance.OraExpressionTransform
that is used to created the transformation sequence object.java.util.Map
that contains the high-level model statistics as a key-value pair.mapByFeatureIdentifier
method.true
when the apply output is specified as a database view.mapByRank
method.ClassificationTestMetrics
object to be created.OraABNModelDetail
object is created for only singleFeature
models.OraABNSettings
is used to specify settings for the Adaptive Bayes Network algorithm.OraABNSettings
.OraBuildSettings
instance captures the oracle extensions to the JDM standard interface javax.datamining.base.BuildSettings
.OraBuildTask
is an extension of the javax.datamining.task.BuildTask
.OraClassificationModel
extension provide static methods to add/remove cost matrix associated with the model.ClassificationSettings
instance supports function settings specific to the classification mining function.ClassificationTestMetricsTask
is a mining task used for computing and creating test metrics objects given an apply output data.ClassificationTestTask
is a mining task used for testing a classificationmodel to measure the goodness of the model.ClusteringDistanceFunction
enumerations.OraConnectionFactory
is an oracle extension of javax.datamining.resource.ConnectionFactory
.OraDataSetApplyTask
is an extension of the javax.datamining.task.apply.DataSetApplyTask
.OraExecutionHandle
is an oracle extension of javax.datamining.ExecutionHandle.OraExplainTask
is used to produce importance and ranks for the columns with respect to the explain column in the input dataset.OraExpressionTransform
is used to specify per attribute SQL expressions for tranformation and optional reverse transformation of the data.OraExpressionElement
is used to encapsulate the per attribute expression inverse expression details.OraFeature
encapsulates the attribute names and its coefficients for a feature in the feature extraction model.OraFeatureExtractionAlgorithmSettings
is the base class for all feature extraction algorithm settings.OraFeatureExtractionApplyContent
specifies following two enumerations for apply contents.OraFeatureExtractionApplySettings
captures a specification that prescribes the output of an apply task specific to a feature extraction model.OraFeatureExtractionSettings
object encapsulates the following build settings specific to feature extraction.OraFeatureExtractionSettings
.OraGLMClassificationSettings
is used to specify settings for the GLM classification algorithm.OraGLMModelDetail
provides methods to retrieve details of the Generalized Linear Model (GLM).OraGLMRegressionSettings
is used to specify settings for the GLM regression algorithm.OraGLMSettings
is the super interface for GLM classification and regression algorithm settings interface.OraGLMSettings
.Interval
.OraItemset
is an extension of Itemset
in the standard.OraKMeansSettings
is an extension of javax.datamining.algorithm.kmeans.KMeansSettings
.OraLift
is an oracle extension to javax.datamining.supervised.classification.Lift
class.javax.datamining.MiningAlgorithm
enumeration lists the JDM standard algorithms as enumerated values.javax.datamining.MiningFunction
enumeration lists the JDM standard functions as enumerated values.javax.datamining.MiningTask
enumeration defines the JDM standard task types as list of enumerated values.OraModel
is an extension of JDM standard javax.datamining.base.Model
interface.OraNMFAlgorithmSettings
is used to specify settings for the NMF Feature Extraction algorithm.OraNMFAlgorithmSettings
.OraOClusterSettings
encapsulates the algorithm settings that can be specified for Orthogonal Partitioning Clustering (O-Clustering).OraOClusterSettings
.OraPhysicalAttributeRole
defines oracle specific attribute role called "nestedTable".OraPredictTask
used to produce predictions for the specified target column in the input dataset as predictions output table.OraPredictiveAnalyticsTask
is the marker interface for all predictive analytics tasks.OraPredictiveAnalyticsFactory
is the factory class to create predictive analytics tasks, such as predict, explain, and profile.OraProfileTask
allows users to segment data based on some target attribute and value.OraRegressionApplySettings
provides set and get methods to specify the target attribute normalization details.OraRegressionTestMetrics
provides set and get methods to specify the target attribute normalization details.OraSVMClassificationSettings
defines oracle specific SVM algorithm settings i.e., active learning and outlier rate.OraSVMRegressionSettings
defines oracle specific SVM algorithm settings i.e., active learning.OraKMeansSettings
supports specifying split criterion as an input.OraTask
add new extension methods in 11.1 to javax.datamining.base.Task
.OraTestTask
is an extension of the javax.datamining.supervised.TestTask
.OraTransformationFactory
is the factory object used for creating transformation objects and transformation sequence object.OraTransformationSequence
represents a sequence of transformations.OraTransformationTask
is used to execute the specified transformation.OraTranformationTask
.OraTreeSettings
defines oracle specific decision tree algorithm settings i.e., minimum decrease in impurity.OraExpressionElement
from the settings.ClassificationTestMetrics
object to be created.true
when the auto data preparations is turned on.true
when ridge regression is enabled.true
.OraABNModelType
corresponding to the specified name.OraSplitCriterion
corresponding to the specified name.OraFeatureExtractionApplyContent
corresponding to the specified name.OraCategoricalBinningType
corresponding to the specified name.OraNumericalBinningType
corresponding to the specified name.OraClippingType
corresponding to the specified name.OraNormalizeType
corresponding to the specified name.OraABNModelType
enumerations defined.OraSplitCriterion
enumerations defined.OraFeatureExtractionApplyContent
enumerations defined.OraCategoricalBinningType
enumerations defined.OraNumericalBinningType
enumerations defined.OraClippingType
enumerations defined.OraNormalizeType
enumerations defined.A C D E F G I L M N O P Q R S T U V W Z
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Oracle Data Mining Java API Reference 11g Release 1 (11.1) B28132-01 |
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