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A C D E F G I L M N O P Q R S T U V W Z

A

adaptiveBayesNetwork - Static variable in class oracle.dmt.jdm.OraMiningAlgorithm

Represents Adaptive Bayes Network algorithm, it is used for classification

addAttributeExpression(String, String, String) - Method in interface oracle.dmt.jdm.transform.OraExpressionTransform

Defines the expression involving the attribute specified in inputAttr with corresponding optional inverseExpression.

addAttributeExpression(String, String, String, String) - Method in interface oracle.dmt.jdm.transform.OraExpressionTransform

Defines the expression involving the attribute specified in inputAttr with corresponding optional inverseExpression and attrSpec.

addBin(OraCategoricalBin) - Method in interface oracle.dmt.jdm.transform.binning.OraCategoricalAttributeBins

Add a categorical bin of this attribute.

addBin(OraNumericalBin) - Method in interface oracle.dmt.jdm.transform.binning.OraNumericalAttributeBins

Add a numerical bin of this attribute.

addBins(OraCategoricalBin[]) - Method in interface oracle.dmt.jdm.transform.binning.OraCategoricalAttributeBins

Add categorical bins to this attribute.

addBins(OraNumericalBin[]) - Method in interface oracle.dmt.jdm.transform.binning.OraNumericalAttributeBins

Add numerical bins to this attribute.

addCategory(Object) - Method in interface oracle.dmt.jdm.transform.binning.OraCategoricalBin

Add the category value that belongs to this categorical bin.

addCostMatrix(Connection, String, String) - Static method in class oracle.dmt.jdm.supervised.classification.OraClassificationModel

This method adds cost matrix to the specified classification model.

addDependency(String) - Method in class oracle.dmt.jdm.base.OraTask

Adds the parent task that this task depends on.

addExtension(String) - Static method in class oracle.dmt.jdm.algorithm.abn.OraABNModelType

Adds a vendor extension name to OraABNModelType.

addExtension(String) - Static method in class oracle.dmt.jdm.algorithm.kmeans.OraSplitCriterion

Adds a vendor extension name to OraSplitCriterion.

addExtension(String) - Static method in class oracle.dmt.jdm.featureextraction.OraFeatureExtractionApplyContent

Adds a vendor extension name to OraFeatureExtractionApplyContent.

addExtension(String) - Static method in class oracle.dmt.jdm.transform.binning.OraCategoricalBinningType

Adds a vendor extension name to OraCategoricalBinningType.

addExtension(String) - Static method in class oracle.dmt.jdm.transform.binning.OraNumericalBinningType

Adds a vendor extension name to OraNumericalBinningType.

addExtension(String) - Static method in class oracle.dmt.jdm.transform.clipping.OraClippingType

Adds a vendor extension name to OraClippingType.

addExtension(String) - Static method in class oracle.dmt.jdm.transform.normalize.OraNormalizeType

Adds a vendor extension name to OraNormalizeType.

aprioriAssociationRules - Static variable in class oracle.dmt.jdm.OraMiningAlgorithm

Represents Apriori algorithm, it is used for association.

auto_equi_width - Static variable in class oracle.dmt.jdm.transform.binning.OraNumericalBinningType

Equal-width binning with auto bin number calculation

C

COEFFICIENT - Static variable in interface oracle.dmt.jdm.modeldetail.glm.OraGLMModelDetail

clusterSize - Static variable in class oracle.dmt.jdm.algorithm.kmeans.OraSplitCriterion

Setting value representing size as the split criterion.

clusterVariance - Static variable in class oracle.dmt.jdm.algorithm.kmeans.OraSplitCriterion

Setting value representing variance as the split criterion.

computeBins(String, Integer, Integer, OraCategoricalBinningType, OraNumericalBinningType, String[]) - Method in interface oracle.dmt.jdm.transform.binning.OraBinningTransformFactory

Deprecated. Computes the bins for categorical and numerical attributes that are computed using the input data.

computeCategoricBins(String, String[], OraCategoricalBinningType[], Integer[]) - Method in interface oracle.dmt.jdm.transform.binning.OraBinningTransformFactory

Deprecated. Computes the bins for categoric attributes using the input data.

computeNumericBins(String, String[], OraNumericalBinningType[], Integer[]) - Method in interface oracle.dmt.jdm.transform.binning.OraBinningTransformFactory

Deprecated. Computes the bins for numerical attributes using the input data.

cosine - Static variable in class oracle.dmt.jdm.algorithm.kmeans.OraClusteringDistanceFunction

Setting value representing cosine distance function.

create() - Method in interface oracle.dmt.jdm.algorithm.abn.OraABNSettingsFactory

Constructs an instance of AdaptiveBayesNetworkSettings initialized to system default values.

create(OraABNModelType, int, int, int) - Method in interface oracle.dmt.jdm.algorithm.abn.OraABNSettingsFactory

Constructs an instance of AdaptiveBayesNetworkSettings with user specfied values.

create() - Method in interface oracle.dmt.jdm.algorithm.nmf.OraNMFAlgorithmSettingsFactory

Creates an NMF algorithm settings with default values

create(long, double, long) - Method in interface oracle.dmt.jdm.algorithm.nmf.OraNMFAlgorithmSettingsFactory

Creates an NMF algorithm settings with the user specified values

create() - Method in interface oracle.dmt.jdm.algorithm.ocluster.OraOClusterSettingsFactory

Creates an instance of OraOClusterSettings

create(double, double, IntervalClosure) - Method in class oracle.dmt.jdm.data.OraIntervalFactory

Creates an instance of Interval that represents the specified interval boundaries.

create() - Method in interface oracle.dmt.jdm.featureextraction.OraFeatureExtractionApplySettingsFactory

Creates an empty instance of ClassificationApplySettings.

create() - Method in interface oracle.dmt.jdm.featureextraction.OraFeatureExtractionSettingsFactory

Creates an instance of FeatureExtractionSettings for building a Feature Extraction Model initialized to vendor-specific default values.

create(String, String, String) - Method in interface oracle.dmt.jdm.task.OraExplainTaskFactory

Deprecated. Creates an instance of OraExplainTask with the specified input data, explain attribute, and the name of the output table to be produced.

create(String, String, String, String) - Method in interface oracle.dmt.jdm.task.OraPredictTaskFactory

Deprecated. Creates an instance of OraPredictTask with the specified input data, case id column name, target attribute, and the name of the output table to be produced.

create(OraTransformation) - Method in interface oracle.dmt.jdm.task.OraTransformationTaskFactory

Creates the instance of OraTransformationTask with the specified the transformation.

create(String, boolean) - Method in interface oracle.dmt.jdm.task.OraTransformationTaskFactory

Creates the instance of OraTransformationTask with the specified transformation sequenece name.

create(String, String, boolean) - Method in interface oracle.dmt.jdm.transform.binning.OraBinningTransformFactory

Deprecated. Creates a binning transform object with the system default number of categorical and numerical bins and binning type.

create(String, String, boolean, String, String) - Method in interface oracle.dmt.jdm.transform.binning.OraBinningTransformFactory

Deprecated. Creates a binning transform that uses the user specified bin boundary tables as input.

create(String, String, boolean, OraAttributeBins[]) - Method in interface oracle.dmt.jdm.transform.binning.OraBinningTransformFactory

Deprecated. Creates a binning transform that uses the user specified custom bins for doing binning.

create(String, String, boolean, String, String, OraAttributeBins[]) - Method in interface oracle.dmt.jdm.transform.binning.OraBinningTransformFactory

Deprecated. Creates a binning transform that uses the user specified custom bins for doing binning and existing bin boundary tables

create(String, String, boolean, Integer, Integer, OraCategoricalBinningType, OraNumericalBinningType) - Method in interface oracle.dmt.jdm.transform.binning.OraBinningTransformFactory

Deprecated. Creates a binning transform, that uses the user specified binning types and number of bins.

create(String, String, boolean) - Method in interface oracle.dmt.jdm.transform.clipping.OraClippingTransformFactory

Deprecated. Creates a clipping transform with default clipping type

create(String, String, boolean, String) - Method in interface oracle.dmt.jdm.transform.clipping.OraClippingTransformFactory

Deprecated. Creates a clipping transform with the specified clipping table..

create(String, String, boolean, OraClippingType, double) - Method in interface oracle.dmt.jdm.transform.clipping.OraClippingTransformFactory

Deprecated. Creates a clipping transform with the specified clipping type and tail fraction value..

create(String, String, boolean) - Method in interface oracle.dmt.jdm.transform.normalize.OraNormalizeTransformFactory

Deprecated. Creates a normalization transform with the system default normalization type.

create(String, String, boolean, String) - Method in interface oracle.dmt.jdm.transform.normalize.OraNormalizeTransformFactory

Deprecated. Creates a normalzation transform that uses specified normalization definitions as input for performining normalization.

create(String, String, boolean, OraNormalizeType, Integer) - Method in interface oracle.dmt.jdm.transform.normalize.OraNormalizeTransformFactory

Deprecated. Creates a normalization transform that uses the specified normalization type and rounding number.

create(String, String, String, String[]) - Method in interface oracle.dmt.jdm.transform.text.OraTextTransformFactory

Creates a text transform object.

create(String, String, String, String[], String[]) - Method in interface oracle.dmt.jdm.transform.text.OraTextTransformFactory

Creates a text transform object with the specified features tables.

createBinningTransform() - Method in interface oracle.dmt.jdm.transform.OraTransformationFactory

Creates a binning transform object with the system default number of categorical and numerical bins and binning type.

createBinningTransform(String, String) - Method in interface oracle.dmt.jdm.transform.OraTransformationFactory

Creates a binning transform that uses the user specified bin boundary tables as input.

createBinningTransform(OraAttributeBins[]) - Method in interface oracle.dmt.jdm.transform.OraTransformationFactory

Creates a binning transform that uses the user specified custom bins for doing binning.

createBinningTransform(String, String, OraAttributeBins[]) - Method in interface oracle.dmt.jdm.transform.OraTransformationFactory

Creates a binning transform that uses the user specified custom bins for doing binning and existing bin boundary tables

createBinningTransform(Integer, Integer, OraCategoricalBinningType, OraNumericalBinningType) - Method in interface oracle.dmt.jdm.transform.OraTransformationFactory

Creates a binning transform, that uses the user specified binning types and number of bins.

createCategoricalAttributeBins(String) - Method in interface oracle.dmt.jdm.transform.binning.OraAttributeBinsFactory

Creates the categorical attribute bins object with no bin entires.

createCategoricalBin(String, Object[]) - Method in interface oracle.dmt.jdm.transform.binning.OraAttributeBinsFactory

Creates a categorical bin with the specifies binID, category values.

createClippingTransform() - Method in interface oracle.dmt.jdm.transform.OraTransformationFactory

Creates a clipping transform with default clipping type

createClippingTransform(String) - Method in interface oracle.dmt.jdm.transform.OraTransformationFactory

Creates a clipping transform with the specified clipping table..

createClippingTransform(OraClippingType, double) - Method in interface oracle.dmt.jdm.transform.OraTransformationFactory

Creates a clipping transform with the specified clipping type and tail fraction value..

createExplainTask(String, String, String) - Method in interface oracle.dmt.jdm.task.OraPredictiveAnalyticsTaskFactory

Creates an instance of OraExplainTask that is used to produce importance and ranks for the columns with respect to the explain column in the input dataset.

createExpressionTransform() - Method in interface oracle.dmt.jdm.transform.OraTransformationFactory

Creates an empty OraExpressionTransform object.

createExpressionTransform(String) - Method in interface oracle.dmt.jdm.transform.OraTransformationFactory

Creates an OraExpressionTransform object using the specified fixed schema expression table as an input.

createGLMClassificationSettings() - Method in interface oracle.dmt.jdm.algorithm.glm.OraGLMSettingsFactory

Creates an instance of OraGLMClassificationSettings with default settings.

createGLMRegressionSettings() - Method in interface oracle.dmt.jdm.algorithm.glm.OraGLMSettingsFactory

Creates an instance of OraGLMRegressionSettings with default settings.

createNormalizeTransform() - Method in interface oracle.dmt.jdm.transform.OraTransformationFactory

Creates a normalization transform with the system default normalization type.

createNormalizeTransform(String) - Method in interface oracle.dmt.jdm.transform.OraTransformationFactory

Creates a normalzation transform that uses specified normalization definitions as input for performining normalization.

createNormalizeTransform(OraNormalizeType, Integer) - Method in interface oracle.dmt.jdm.transform.OraTransformationFactory

Creates a normalization transform that uses the specified normalization type and rounding number.

createNumericalAttributeBins(String) - Method in interface oracle.dmt.jdm.transform.binning.OraAttributeBinsFactory

Creates the numerical attribute bins object with no bin entires.

createNumericalBin(String, double, double) - Method in interface oracle.dmt.jdm.transform.binning.OraAttributeBinsFactory

Creates a numerical bin with the specifies binID, start and end value.

createPredictTask(String, String, String, String) - Method in interface oracle.dmt.jdm.task.OraPredictiveAnalyticsTaskFactory

Creates an instance of OraPredictTask that is used to produce predictions for the specified target column in the input dataset as predictions output table.

createProfileTask(String, String, String) - Method in interface oracle.dmt.jdm.task.OraPredictiveAnalyticsTaskFactory

Creates an instance of OraProfileTask allows users to segment data based on some target attribute and value.

createTransformationSequence(String, List, String) - Method in interface oracle.dmt.jdm.transform.OraTransformationFactory

Creates the transormation sequence object, where user can specify the sequence of transformation operations that are to be performed.

createTransformationSequence(String, OraExpressionTransform, String) - Method in interface oracle.dmt.jdm.transform.OraTransformationFactory

Creates the transformation sequence object using sql expressions that are already stacked per attribute basis using OraExpressionTransform object.

custom - Static variable in class oracle.dmt.jdm.transform.binning.OraCategoricalBinningType

Custom binning type

custom - Static variable in class oracle.dmt.jdm.transform.binning.OraNumericalBinningType

Custom binning type

D

dropDependency(String) - Method in class oracle.dmt.jdm.base.OraTask

Removes the parent task dependency for this task.

E

EXP_COEFFICIENT - Static variable in interface oracle.dmt.jdm.modeldetail.glm.OraGLMModelDetail

EXP_LOWER_COEFF_LIMIT - Static variable in interface oracle.dmt.jdm.modeldetail.glm.OraGLMModelDetail

EXP_UPPER_COEFF_LIMIT - Static variable in interface oracle.dmt.jdm.modeldetail.glm.OraGLMModelDetail

equi_width - Static variable in class oracle.dmt.jdm.transform.binning.OraNumericalBinningType

Equal-width binning

explainTask - Static variable in class oracle.dmt.jdm.OraMiningTask

This enumeration value represents the explain task type.

F

fastCosine - Static variable in class oracle.dmt.jdm.algorithm.kmeans.OraClusteringDistanceFunction

Setting value representing fast cosine distance function.

featureExtraction - Static variable in class oracle.dmt.jdm.OraMiningFunction

Represents the feature extraction function.

featureIdentifier - Static variable in class oracle.dmt.jdm.featureextraction.OraFeatureExtractionApplyContent

G

generalizedLinearModel - Static variable in class oracle.dmt.jdm.OraMiningAlgorithm

Represents Generalized Linear Model (GLM) algorithm, it is used for both classification and regression functions.

getActiveLearning() - Method in class oracle.dmt.jdm.algorithm.svm.classification.OraSVMClassificationSettings

Returns true if active learning by algorithm is enabled, either set by the user or the default value.

getActiveLearning() - Method in class oracle.dmt.jdm.algorithm.svm.regression.OraSVMRegressionSettings

Returns true if active learning by algorithm is enabled, either set by the user or the default value.

getApplyData() - Method in class oracle.dmt.jdm.task.apply.OraDataSetApplyTask

Retrieves the apply input data information from the task.

getApplySettings(MiningFunction) - Method in class oracle.dmt.jdm.task.apply.OraDataSetApplyTask

Retrieves the apply settings from the task.

getAttributeCoefficients(String) - Method in class oracle.dmt.jdm.featureextraction.OraFeature

Returns the attribute value and coefficient map for the specified attribute name.

getAttributeCoefficients(String[], String[], Map, Map) - Method in interface oracle.dmt.jdm.modeldetail.glm.OraGLMModelDetail

Returns the java.sql.ResultSet that contains the following columns: CLASS String => Target value.

getAttributeExpressionMap() - Method in interface oracle.dmt.jdm.transform.OraExpressionTransform

Returns a map of the overridden attributes that contains the key as the input attribute name and the value as the OraExpressionElement instance.

getAttributeName() - Method in class oracle.dmt.jdm.association.OraItemset.OraItem

getAttributeName() - Method in interface oracle.dmt.jdm.transform.binning.OraAttributeBins

Returns the name of the attribute for this bin definition.

getAttributeNames() - Method in class oracle.dmt.jdm.featureextraction.OraFeature

Returns the names of the attributes in the feature.

getAttributeValue() - Method in class oracle.dmt.jdm.association.OraItemset.OraItem

getBinID() - Method in interface oracle.dmt.jdm.transform.binning.OraCategoricalBin

Returns the bin id of this bin.

getBinID() - Method in interface oracle.dmt.jdm.transform.binning.OraNumericalBin

Returns the bin id of this bin.

getBins() - Method in interface oracle.dmt.jdm.transform.binning.OraBinningTransform

Returns the array of attribute bins that are specified or computed.

getBins() - Method in interface oracle.dmt.jdm.transform.binning.OraCategoricalAttributeBins

Returns the bins defined for this attribute.

getBins() - Method in interface oracle.dmt.jdm.transform.binning.OraNumericalAttributeBins

Returns the bins defined for this attribute.

getBlockGrowth() - Method in class oracle.dmt.jdm.algorithm.kmeans.OraKMeansSettings

Returns the growth factor for memory allocated to hold cluster data.

getBufferSize() - Method in interface oracle.dmt.jdm.algorithm.ocluster.OraOClusterSettings

Returns the buffer size used for the model building.

getBuildData() - Method in class oracle.dmt.jdm.task.OraBuildTask

Retrieves the build data information from the task.

getBuildTransformation() - Method in class oracle.dmt.jdm.base.OraModel

Returns the build transform that was set to this model.

getCaseId() - Method in interface oracle.dmt.jdm.transform.text.OraTextTransform

Returns case id column name.

getCases() - Method in class oracle.dmt.jdm.supervised.classification.OraLift

Returns an array containing the number of cases per quantile.

getCategoricalBinTable() - Method in interface oracle.dmt.jdm.transform.binning.OraBinningTransform

Returns the categorical bin definition table name.

getCategoricalBinningType() - Method in interface oracle.dmt.jdm.transform.binning.OraBinningTransform

Returns the categorical binning type for all categorical attributes.

getCategories() - Method in interface oracle.dmt.jdm.transform.binning.OraCategoricalBin

Returns the list of categories set in the categorical bin.

getChildTaskNames() - Method in class oracle.dmt.jdm.base.OraTask

Returns list of child tasks, i.e., the tasks that have this task as the parent.

getClippingTable() - Method in interface oracle.dmt.jdm.transform.clipping.OraClippingTransform

Returns the clipping table defining the new range for the attribute.

getClippingType() - Method in interface oracle.dmt.jdm.transform.clipping.OraClippingTransform

Returns the default clipping type for all attributes.

getConfidenceLevel() - Method in interface oracle.dmt.jdm.algorithm.glm.OraGLMSettings

Returns the specified confidence level for coefficient bounds.

getContent(String) - Method in class oracle.dmt.jdm.featureextraction.OraFeatureExtractionApplySettings

Returns the apply content type designated to the specified physical attribute.

getContents(int) - Method in class oracle.dmt.jdm.featureextraction.OraFeatureExtractionApplySettings

Returns an array of apply content types to appear in the apply output for the specified rank.

getContentsByFeature(int) - Method in class oracle.dmt.jdm.featureextraction.OraFeatureExtractionApplySettings

Returns the types of apply content to be included in the apply output for the specified cluser ID.

getCumulativeGain() - Method in class oracle.dmt.jdm.supervised.classification.OraLift

Returns an array containing the gain per quantile.

getCumulativeLift() - Method in class oracle.dmt.jdm.supervised.classification.OraLift

Returns an array containing the cumulative lift values of the quantile.

getCumulativeTargetDensity() - Method in class oracle.dmt.jdm.supervised.classification.OraLift

Returns an array containing the cumulative target density per quantile.

getDefaultApplySettings() - Method in interface oracle.dmt.jdm.featureextraction.OraFeatureExtractionApplySettingsFactory

Returns the default apply settings specification for classification model.

getDiagnosticsTableName() - Method in interface oracle.dmt.jdm.algorithm.glm.OraGLMSettings

Returns the specified diagnostics table name.

getEndValue() - Method in interface oracle.dmt.jdm.transform.binning.OraNumericalBin

Returns the end value of the bin.

getExcludeColumnList() - Method in interface oracle.dmt.jdm.transform.OraTransformation

Returns the columns that need to be excluded from the transformation.

getExplainAttributeName() - Method in interface oracle.dmt.jdm.task.OraExplainTask

Returns the explain column

getExpression() - Method in interface oracle.dmt.jdm.transform.OraExpressionTransform.OraExpressionElement

Returns the expression specified for the transformation with the given input attribute name.

getExpressionTransform() - Method in interface oracle.dmt.jdm.transform.OraTransformationSequence

Returns OraExpressionTransform that is used to created the transformation sequence object.

getFeatureIdentifier() - Method in class oracle.dmt.jdm.featureextraction.OraFeature

Returns the feature identifier value.

getFeatureTables() - Method in interface oracle.dmt.jdm.transform.text.OraTextTransform

Returns features tables associated with the text columns.

getFeatures(int) - Method in class oracle.dmt.jdm.featureextraction.OraFeatureExtractionModel

Returns the collection of top N features representing the original data.

getFeatures() - Method in class oracle.dmt.jdm.featureextraction.OraFeatureExtractionModel

Returns the collection all features representing the original data.

getGlobalDetails() - Method in interface oracle.dmt.jdm.modeldetail.glm.OraGLMModelDetail

Returns the java.util.Map that contains the high-level model statistics as a key-value pair.

getInputAttributeName() - Method in interface oracle.dmt.jdm.transform.OraExpressionTransform.OraExpressionElement

Returns the array of input attributes for the specified input attribute.

getInputData() - Method in interface oracle.dmt.jdm.task.OraExplainTask

Returns the input data URI of the Explain.

getInputData() - Method in interface oracle.dmt.jdm.task.OraPredictTask

Returns the input data URI of the predict.

getInputData() - Method in interface oracle.dmt.jdm.task.OraProfileTask

Returns the input data URI of the profile.

getInverseExpression() - Method in interface oracle.dmt.jdm.transform.OraExpressionTransform.OraExpressionElement

Returns the inverse expression specified for the transformation with the given input attribute name.

getItemsetId() - Method in class oracle.dmt.jdm.association.OraItemset

Oracle extension.

getLift() - Method in class oracle.dmt.jdm.supervised.classification.OraLift

Returns an array containing the lift values per quantile.

getLiteralFlag() - Method in interface oracle.dmt.jdm.transform.binning.OraBinningTransform

Returns whether data kept in its natural format or as literals

getMappedContents() - Method in class oracle.dmt.jdm.featureextraction.OraFeatureExtractionApplySettings

Returns an array of apply contents that are used for mapping.

getMappedDestinationAttrName(Integer, OraFeatureExtractionApplyContent) - Method in class oracle.dmt.jdm.featureextraction.OraFeatureExtractionApplySettings

Returns the name of the physical attribute mapped to the specified feature identifier.

getMappedDestinationAttrName(int, OraFeatureExtractionApplyContent) - Method in class oracle.dmt.jdm.featureextraction.OraFeatureExtractionApplySettings

Returns the name of the physical attribute mapped to the specified feature identifier.

getMappedFeatureIdentifiers() - Method in class oracle.dmt.jdm.featureextraction.OraFeatureExtractionApplySettings

Returns an array of feature identifiers mapped by mapByFeatureIdentifier method.

getMaxNumberOfIterations() - Method in interface oracle.dmt.jdm.algorithm.nmf.OraNMFAlgorithmSettings

Get the number of iterations.

getMaximumNumberOfPredictors() - Method in interface oracle.dmt.jdm.algorithm.abn.OraABNSettings

Returns the maximum number of predictors.

getMinConvergenceTolerance() - Method in interface oracle.dmt.jdm.algorithm.nmf.OraNMFAlgorithmSettings

Get the minimum convergence tolerance.

getMinNodeSizeForSplit(SizeUnit) - Method in class oracle.dmt.jdm.algorithm.tree.OraTreeSettings

Oracle extension.

getMinPercentageAtrrSupport() - Method in class oracle.dmt.jdm.algorithm.kmeans.OraKMeansSettings

Returns the minimum percentage support required for attributes in rules.

getMissingValueTreatmentType() - Method in interface oracle.dmt.jdm.algorithm.glm.OraGLMSettings

Returns the missing value treatment type.

getModelDetail() - Method in class oracle.dmt.jdm.featureextraction.OraFeatureExtractionModel

Returns the algorithm-specific model detail for this model.

getModelTransformations() - Method in class oracle.dmt.jdm.base.OraModel

Returns automated or embedded model transformations.

getModelType() - Method in interface oracle.dmt.jdm.algorithm.abn.OraABNSettings

Returns the ABN model type enumeration.

getNaiveBayesNumberOfPredictors() - Method in interface oracle.dmt.jdm.algorithm.abn.OraABNSettings

Returns the number of predictors used in NB model.

getNormalizationDefinitionTable() - Method in interface oracle.dmt.jdm.transform.normalize.OraNormalizeTransform

Returns the normalization definition table name.

getNormalizeType() - Method in interface oracle.dmt.jdm.transform.normalize.OraNormalizeTransform

Returns the default normalize type for all attributes.

getNumberOfBins() - Method in class oracle.dmt.jdm.algorithm.kmeans.OraKMeansSettings

Returns the number of histogram bins.

getNumberOfBinsForCategorical() - Method in interface oracle.dmt.jdm.transform.binning.OraBinningTransform

Returns the number of bins for all categorical atributes.

getNumberOfBinsForNumerical() - Method in interface oracle.dmt.jdm.transform.binning.OraBinningTransform

Returns the number of bins for all numerical atributes.

getNumberOfFeatures() - Method in class oracle.dmt.jdm.featureextraction.OraFeatureExtractionSettings

Returns the number of features to be extracted.

getNumberOfNegativeCases() - Method in class oracle.dmt.jdm.supervised.classification.OraLift

Returns an array containing the number of negative cases per quantile.

getNumberOfPositiveCases() - Method in class oracle.dmt.jdm.supervised.classification.OraLift

Returns an array containing the number of positive cases per quantile.

getNumericalBinTable() - Method in interface oracle.dmt.jdm.transform.binning.OraBinningTransform

Returns the numerical bin definition table name.

getNumericalBinningType() - Method in interface oracle.dmt.jdm.transform.binning.OraBinningTransform

Get the binning type for all numerical attributes.

getObjectNames(String, NamedObject, String, Enum, Enum) - Method in class oracle.dmt.jdm.resource.OraConnection

This method is added as an Oracle extension to provide listing of mining object names across schemas.

getOutlierRate() - Method in class oracle.dmt.jdm.algorithm.svm.classification.OraSVMClassificationSettings

Returns the outlier rate, either set by the user or the default value.

getOutputData() - Method in interface oracle.dmt.jdm.task.OraExplainTask

Returns the output data URI.

getOutputData() - Method in interface oracle.dmt.jdm.task.OraPredictTask

Returns the output data URI.

getOutputDestinationType() - Method in class oracle.dmt.jdm.task.apply.OraDataSetApplyTask

Returns true when the apply output is specified as a database view.

getParentTaskNames() - Method in class oracle.dmt.jdm.base.OraTask

Returns list of parent tasks that this task depends on.

getPercentageSize() - Method in class oracle.dmt.jdm.supervised.classification.OraLift

Returns an array containing the percentage size per quantile.

getPriorProbabilitiesName() - Method in class oracle.dmt.jdm.supervised.classification.OraClassificationSettings

Returns the table name of the prior or null if the default prior table name is to be used.

getProbabilityOrCostThreshold() - Method in class oracle.dmt.jdm.supervised.classification.OraLift

Returns an array containing the probability/cost threshold per quantile.

getProfileResultTableName() - Method in interface oracle.dmt.jdm.task.OraProfileTask

Returns the specified profile result table name.

getRank(String) - Method in class oracle.dmt.jdm.featureextraction.OraFeatureExtractionApplySettings

Returns the rank designated to the specified physical attribute.

getRanks() - Method in class oracle.dmt.jdm.featureextraction.OraFeatureExtractionApplySettings

Returns the number of predictions specified by mapByRank method.

getReferenceCategory() - Method in interface oracle.dmt.jdm.algorithm.glm.OraGLMClassificationSettings

Returns the specified reference category.

getRidgeValue() - Method in interface oracle.dmt.jdm.algorithm.glm.OraGLMSettings

Returns the user specified ridge value.

getRound() - Method in interface oracle.dmt.jdm.transform.binning.OraBinningTransform

Returns the number of significant digits.

getRoundingNumber() - Method in interface oracle.dmt.jdm.transform.normalize.OraNormalizeTransform

Get the rounding number.

getRule(int) - Method in interface oracle.dmt.jdm.modeldetail.abn.OraABNModelDetail

Returns a collection of Rule objects of a given rule id.

getRules() - Method in interface oracle.dmt.jdm.modeldetail.abn.OraABNModelDetail

Returns a collection of Rule objects.

getScale(String) - Method in interface oracle.dmt.jdm.transform.normalize.OraNormalizeTransform

Get the scale value of a given attribute name from its normalization definition table.

getSeedValue() - Method in interface oracle.dmt.jdm.algorithm.nmf.OraNMFAlgorithmSettings

Get the seed set for random number generator.

getSensitivity() - Method in interface oracle.dmt.jdm.algorithm.ocluster.OraOClusterSettings

Get the sensitivity value.

getSettingsTable1() - Method in interface oracle.dmt.jdm.transform.binning.OraBinningTransform

Returns the name of numeric bin boundary table

getSettingsTable2() - Method in interface oracle.dmt.jdm.transform.binning.OraBinningTransform

Returns the name of categoric bin boundary table

getShift(String) - Method in interface oracle.dmt.jdm.transform.normalize.OraNormalizeTransform

Get the shift value of a given attribute name from its normalization definition table.

getSplitCriterion() - Method in class oracle.dmt.jdm.algorithm.kmeans.OraKMeansSettings

Returns the Split criterion for k-Means Clustering

getStartValue() - Method in interface oracle.dmt.jdm.transform.binning.OraNumericalBin

Returns the start value of the bin.

getTableName(ClassificationTestMetricOption) - Method in class oracle.dmt.jdm.supervised.classification.OraClassificationTestMetricsTask

Returns name of the table associated with a ClassificationTestMetricOption.

getTableName(ClassificationTestMetricOption) - Method in class oracle.dmt.jdm.supervised.classification.OraClassificationTestTask

Returns name of the table associated with a ClassificationTestMetricOption.

getTargetAttributeName() - Method in interface oracle.dmt.jdm.task.OraPredictTask

Returns the target column

getTargetAttributeName() - Method in interface oracle.dmt.jdm.task.OraProfileTask

Returns name of the target column

getTargetAttributeName() - Method in interface oracle.dmt.jdm.transform.binning.OraBinningTransform

Get the target attribute name specified for supervised binning.

getTargetDensity() - Method in class oracle.dmt.jdm.supervised.classification.OraLift

Returns an array containing the target density per quantile.

getTargetNormalizationScaleValue() - Method in class oracle.dmt.jdm.supervised.regression.OraRegressionApplySettings

Returns the specified normalization scale value of the target column.

getTargetNormalizationScaleValue() - Method in class oracle.dmt.jdm.supervised.regression.OraRegressionTestMetrics

Returns the specified normalization scale value of the target column.

getTargetNormalizationShiftValue() - Method in class oracle.dmt.jdm.supervised.regression.OraRegressionApplySettings

Returns the specified normalization shift value of the target column.

getTargetNormalizationShiftValue() - Method in class oracle.dmt.jdm.supervised.regression.OraRegressionTestMetrics

Returns the specified normalization shift value of the target column.

getTargetWeightsMap() - Method in class oracle.dmt.jdm.supervised.classification.OraClassificationSettings

Returns the map that contains the weights associated with the target classes.

getTargetWeightsTableName() - Method in class oracle.dmt.jdm.supervised.classification.OraClassificationSettings

Returns the name of the table that contains the weights associated with the target classes.

getTestData() - Method in class oracle.dmt.jdm.supervised.OraTestTask

Retrieves the test input data information from the task.

getTestMetricsDescription() - Method in class oracle.dmt.jdm.supervised.OraTestTask

returns the description for the ClassificationTestMetrics object to be created.

getTextColumnNames() - Method in interface oracle.dmt.jdm.transform.text.OraTextTransform

Get the list of text columns that need to be converted to nested columns.

getTransformInputData() - Method in interface oracle.dmt.jdm.transform.OraTransformation

Returns the input data URI of the transformation.

getTransformOutputData() - Method in interface oracle.dmt.jdm.transform.OraTransformation

Returns the output data URI.

getTransformation() - Method in interface oracle.dmt.jdm.task.OraTransformationTask

Get the transformation to be executed.

getTransformationSequence() - Method in interface oracle.dmt.jdm.task.OraTransformationTask

Returns the name of the transformation sequence.

getTransformationSequenceName() - Method in class oracle.dmt.jdm.task.OraBuildTask

Gets the name of the transformation model sequence to be applied in preparing the data for model building.

getTransformations() - Method in interface oracle.dmt.jdm.transform.OraTransformationSequence

Returns ordered list of transformations in this transformation sequence object.

I

isFromTop() - Method in class oracle.dmt.jdm.featureextraction.OraFeatureExtractionApplySettings

Returns true if predictions are ordered from top, false if from bottom.

isOutputView() - Method in interface oracle.dmt.jdm.transform.OraTransformation

Returns the flag indicating whether the transformation results will be kept as view or as a table

L

LOWER_COEFF_LIMIT - Static variable in interface oracle.dmt.jdm.modeldetail.glm.OraGLMModelDetail

M

mapByFeature(OraFeatureExtractionApplyContent, int, String) - Method in class oracle.dmt.jdm.featureextraction.OraFeatureExtractionApplySettings

Maps the specified feature identifier to a destination attribute regardless of its rank.

mapByRank(OraFeatureExtractionApplyContent, String[], boolean) - Method in class oracle.dmt.jdm.featureextraction.OraFeatureExtractionApplySettings

Maps the specified generated values for the predictions within the specified ranks to a set of destination attributes.

mapFeatures(OraFeatureExtractionApplyContent, String) - Method in class oracle.dmt.jdm.featureextraction.OraFeatureExtractionApplySettings

Maps all predictions in the model and the specified content value to a set of named destination attributes.

mapTopFeature(OraFeatureExtractionApplyContent, String) - Method in class oracle.dmt.jdm.featureextraction.OraFeatureExtractionApplySettings

Maps the prediction with the highest probability to appear in the apply output under the specified attribute name.

matchQuality - Static variable in class oracle.dmt.jdm.featureextraction.OraFeatureExtractionApplyContent

min_max - Static variable in class oracle.dmt.jdm.transform.normalize.OraNormalizeType

minimumDescriptionLength - Static variable in class oracle.dmt.jdm.OraMiningAlgorithm

Represents Minimum Description Length (MDL) algorithm, it is used for attribute importance.

multiFeature - Static variable in class oracle.dmt.jdm.algorithm.abn.OraABNModelType

N

naiveBayes - Static variable in class oracle.dmt.jdm.algorithm.abn.OraABNModelType

nestedTable - Static variable in class oracle.dmt.jdm.data.OraAttributeDataType

Attribute type to specify nested Table columns

nestedTable - Static variable in class oracle.dmt.jdm.data.OraPhysicalAttributeRole

Attribute Role to specify nested Table columns

nonNegativeMatrixFactorization - Static variable in class oracle.dmt.jdm.OraMiningAlgorithm

Represents Non-Negative Matrix Factorization (NMF) algorithm, it is used for feature extraction

O

OraABNModelDetail - interface oracle.dmt.jdm.modeldetail.abn.OraABNModelDetail.

OraABNModelDetail object is created for only singleFeature models.

OraABNModelType - class oracle.dmt.jdm.algorithm.abn.OraABNModelType.

OraABNSettings - interface oracle.dmt.jdm.algorithm.abn.OraABNSettings.

An instance of OraABNSettings is used to specify settings for the Adaptive Bayes Network algorithm.

OraABNSettingsFactory - interface oracle.dmt.jdm.algorithm.abn.OraABNSettingsFactory.

A factory class that creates instance of OraABNSettings.

OraAttributeBins - interface oracle.dmt.jdm.transform.binning.OraAttributeBins.

Base interface for defining a bin definition object.

OraAttributeBinsFactory - interface oracle.dmt.jdm.transform.binning.OraAttributeBinsFactory.

This factory is used to create the OraAttributeBins objects.

OraAttributeDataType - class oracle.dmt.jdm.data.OraAttributeDataType.

OraAttributeType defines oracle specific attribute type called "nestedTable".

OraBinningTransform - interface oracle.dmt.jdm.transform.binning.OraBinningTransform.

Binning involves mapping both continuous and discrete values to discrete values of reduced cardinality.

OraBinningTransformFactory - interface oracle.dmt.jdm.transform.binning.OraBinningTransformFactory.

Deprecated.

OraBuildSettings - class oracle.dmt.jdm.base.OraBuildSettings.

A OraBuildSettings instance captures the oracle extensions to the JDM standard interface javax.datamining.base.BuildSettings.

OraBuildTask - class oracle.dmt.jdm.task.OraBuildTask.

OraBuildTask is an extension of the javax.datamining.task.BuildTask.

OraCategoricalAttributeBins - interface oracle.dmt.jdm.transform.binning.OraCategoricalAttributeBins.

Interface for defining a categorical bin definition object.

OraCategoricalBin - interface oracle.dmt.jdm.transform.binning.OraCategoricalBin.

CategoricalBin interface defines the bin for a categorical attribute.

OraCategoricalBinningType - class oracle.dmt.jdm.transform.binning.OraCategoricalBinningType.

Describes the possible types of categorical binning.

OraClassificationModel - class oracle.dmt.jdm.supervised.classification.OraClassificationModel.

OraClassificationModel extension provide static methods to add/remove cost matrix associated with the model.

OraClassificationSettings - class oracle.dmt.jdm.supervised.classification.OraClassificationSettings.

A ClassificationSettings instance supports function settings specific to the classification mining function.

OraClassificationTestMetricsTask - class oracle.dmt.jdm.supervised.classification.OraClassificationTestMetricsTask.

ClassificationTestMetricsTask is a mining task used for computing and creating test metrics objects given an apply output data.

OraClassificationTestTask - class oracle.dmt.jdm.supervised.classification.OraClassificationTestTask.

A ClassificationTestTask is a mining task used for testing a classificationmodel to measure the goodness of the model.

OraClippingTransform - interface oracle.dmt.jdm.transform.clipping.OraClippingTransform.

This interface defines the methods to set bin details of the clipping transformation.

OraClippingTransformFactory - interface oracle.dmt.jdm.transform.clipping.OraClippingTransformFactory.

Deprecated.

OraClippingType - class oracle.dmt.jdm.transform.clipping.OraClippingType.

Describes the possible types of clipping transformation.

OraClusteringDistanceFunction - class oracle.dmt.jdm.algorithm.kmeans.OraClusteringDistanceFunction.

This class defines Oracle extensions to standard ClusteringDistanceFunction enumerations.

OraConnection - class oracle.dmt.jdm.resource.OraConnection.

OraConnectionFactory - class oracle.dmt.jdm.resource.OraConnectionFactory.

OraConnectionFactory is an oracle extension of javax.datamining.resource.ConnectionFactory.

OraConnectionFactory() - Constructor for class oracle.dmt.jdm.resource.OraConnectionFactory

Creates default connection factory instance.

OraConnectionFactory(DataSource) - Constructor for class oracle.dmt.jdm.resource.OraConnectionFactory

Creates connection factory using the specified oracle data source.

OraDataSetApplyTask - class oracle.dmt.jdm.task.apply.OraDataSetApplyTask.

OraDataSetApplyTask is an extension of the javax.datamining.task.apply.DataSetApplyTask.

OraExecutionHandle - class oracle.dmt.jdm.OraExecutionHandle.

OraExecutionHandle is an oracle extension of javax.datamining.ExecutionHandle.

OraExplainTask - interface oracle.dmt.jdm.task.OraExplainTask.

OraExplainTask is used to produce importance and ranks for the columns with respect to the explain column in the input dataset.

OraExplainTaskFactory - interface oracle.dmt.jdm.task.OraExplainTaskFactory.

Deprecated.

OraExpressionTransform - interface oracle.dmt.jdm.transform.OraExpressionTransform.

OraExpressionTransform is used to specify per attribute SQL expressions for tranformation and optional reverse transformation of the data.

OraExpressionTransform.OraExpressionElement - interface oracle.dmt.jdm.transform.OraExpressionTransform.OraExpressionElement.

OraExpressionElement is used to encapsulate the per attribute expression inverse expression details.

OraFeature - class oracle.dmt.jdm.featureextraction.OraFeature.

OraFeature encapsulates the attribute names and its coefficients for a feature in the feature extraction model.

OraFeatureExtractionAlgorithmSettings - interface oracle.dmt.jdm.featureextraction.OraFeatureExtractionAlgorithmSettings.

OraFeatureExtractionAlgorithmSettings is the base class for all feature extraction algorithm settings.

OraFeatureExtractionApplyContent - class oracle.dmt.jdm.featureextraction.OraFeatureExtractionApplyContent.

OraFeatureExtractionApplyContent specifies following two enumerations for apply contents.

OraFeatureExtractionApplySettings - class oracle.dmt.jdm.featureextraction.OraFeatureExtractionApplySettings.

A OraFeatureExtractionApplySettings captures a specification that prescribes the output of an apply task specific to a feature extraction model.

OraFeatureExtractionApplySettingsFactory - interface oracle.dmt.jdm.featureextraction.OraFeatureExtractionApplySettingsFactory.

OraFeatureExtractionModel - class oracle.dmt.jdm.featureextraction.OraFeatureExtractionModel.

Feature Extraction creates a new set of features based on the original data.

OraFeatureExtractionSettings - class oracle.dmt.jdm.featureextraction.OraFeatureExtractionSettings.

OraFeatureExtractionSettings object encapsulates the following build settings specific to feature extraction.

OraFeatureExtractionSettingsFactory - interface oracle.dmt.jdm.featureextraction.OraFeatureExtractionSettingsFactory.

A factory class that creates instances of OraFeatureExtractionSettings.

OraGLMClassificationSettings - interface oracle.dmt.jdm.algorithm.glm.OraGLMClassificationSettings.

An instance of OraGLMClassificationSettings is used to specify settings for the GLM classification algorithm.

OraGLMModelDetail - interface oracle.dmt.jdm.modeldetail.glm.OraGLMModelDetail.

OraGLMModelDetail provides methods to retrieve details of the Generalized Linear Model (GLM).

OraGLMRegressionSettings - interface oracle.dmt.jdm.algorithm.glm.OraGLMRegressionSettings.

An instance of OraGLMRegressionSettings is used to specify settings for the GLM regression algorithm.

OraGLMSettings - interface oracle.dmt.jdm.algorithm.glm.OraGLMSettings.

OraGLMSettings is the super interface for GLM classification and regression algorithm settings interface.

OraGLMSettingsFactory - interface oracle.dmt.jdm.algorithm.glm.OraGLMSettingsFactory.

A factory interface that creates instances of OraGLMSettings.

OraIntervalFactory - class oracle.dmt.jdm.data.OraIntervalFactory.

A factory class that creates instances of Interval.

OraItemset - class oracle.dmt.jdm.association.OraItemset.

OraItemset is an extension of Itemset in the standard.

OraItemset.OraItem - class oracle.dmt.jdm.association.OraItemset.OraItem.

OraItemset.OraItem(String, Double, String) - Constructor for class oracle.dmt.jdm.association.OraItemset.OraItem

OraKMeansSettings - class oracle.dmt.jdm.algorithm.kmeans.OraKMeansSettings.

OraKMeansSettings is an extension of javax.datamining.algorithm.kmeans.KMeansSettings.

OraLift - class oracle.dmt.jdm.supervised.classification.OraLift.

OraLift is an oracle extension to javax.datamining.supervised.classification.Lift class.

OraMiningAlgorithm - class oracle.dmt.jdm.OraMiningAlgorithm.

javax.datamining.MiningAlgorithm enumeration lists the JDM standard algorithms as enumerated values.

OraMiningFunction - class oracle.dmt.jdm.OraMiningFunction.

javax.datamining.MiningFunction enumeration lists the JDM standard functions as enumerated values.

OraMiningTask - class oracle.dmt.jdm.OraMiningTask.

javax.datamining.MiningTask enumeration defines the JDM standard task types as list of enumerated values.

OraModel - class oracle.dmt.jdm.base.OraModel.

OraModel is an extension of JDM standard javax.datamining.base.Model interface.

OraNMFAlgorithmSettings - interface oracle.dmt.jdm.algorithm.nmf.OraNMFAlgorithmSettings.

An instance of OraNMFAlgorithmSettings is used to specify settings for the NMF Feature Extraction algorithm.

OraNMFAlgorithmSettingsFactory - interface oracle.dmt.jdm.algorithm.nmf.OraNMFAlgorithmSettingsFactory.

A factory interface that creates instances of OraNMFAlgorithmSettings.

OraNormalizeTransform - interface oracle.dmt.jdm.transform.normalize.OraNormalizeTransform.

Normalizing converts individual attribute values in such a way that all attributes values lie in the same range.

OraNormalizeTransformFactory - interface oracle.dmt.jdm.transform.normalize.OraNormalizeTransformFactory.

Deprecated.

OraNormalizeType - class oracle.dmt.jdm.transform.normalize.OraNormalizeType.

OraNumericalAttributeBins - interface oracle.dmt.jdm.transform.binning.OraNumericalAttributeBins.

Interface for defining a numeric bin definition object.

OraNumericalBin - interface oracle.dmt.jdm.transform.binning.OraNumericalBin.

NumericalBin interface defines the bin for a numerical attribute.

OraNumericalBinningType - class oracle.dmt.jdm.transform.binning.OraNumericalBinningType.

Describes the possible types of numeric binning.

OraOClusterSettings - interface oracle.dmt.jdm.algorithm.ocluster.OraOClusterSettings.

OraOClusterSettings encapsulates the algorithm settings that can be specified for Orthogonal Partitioning Clustering (O-Clustering).

OraOClusterSettingsFactory - interface oracle.dmt.jdm.algorithm.ocluster.OraOClusterSettingsFactory.

A factory interface that creates instances of OraOClusterSettings.

OraPhysicalAttributeRole - class oracle.dmt.jdm.data.OraPhysicalAttributeRole.

OraPhysicalAttributeRole defines oracle specific attribute role called "nestedTable".

OraPredictTask - interface oracle.dmt.jdm.task.OraPredictTask.

OraPredictTask used to produce predictions for the specified target column in the input dataset as predictions output table.

OraPredictTaskFactory - interface oracle.dmt.jdm.task.OraPredictTaskFactory.

Deprecated.

OraPredictiveAnalyticsTask - interface oracle.dmt.jdm.task.OraPredictiveAnalyticsTask.

OraPredictiveAnalyticsTask is the marker interface for all predictive analytics tasks.

OraPredictiveAnalyticsTaskFactory - interface oracle.dmt.jdm.task.OraPredictiveAnalyticsTaskFactory.

OraPredictiveAnalyticsFactory is the factory class to create predictive analytics tasks, such as predict, explain, and profile.

OraProfileTask - interface oracle.dmt.jdm.task.OraProfileTask.

OraProfileTask allows users to segment data based on some target attribute and value.

OraRegressionApplySettings - class oracle.dmt.jdm.supervised.regression.OraRegressionApplySettings.

OraRegressionApplySettings provides set and get methods to specify the target attribute normalization details.

OraRegressionTestMetrics - class oracle.dmt.jdm.supervised.regression.OraRegressionTestMetrics.

OraRegressionTestMetrics provides set and get methods to specify the target attribute normalization details.

OraSVMClassificationSettings - class oracle.dmt.jdm.algorithm.svm.classification.OraSVMClassificationSettings.

OraSVMClassificationSettings defines oracle specific SVM algorithm settings i.e., active learning and outlier rate.

OraSVMRegressionSettings - class oracle.dmt.jdm.algorithm.svm.regression.OraSVMRegressionSettings.

OraSVMRegressionSettings defines oracle specific SVM algorithm settings i.e., active learning.

OraSplitCriterion - class oracle.dmt.jdm.algorithm.kmeans.OraSplitCriterion.

OraKMeansSettings supports specifying split criterion as an input.

OraTask - class oracle.dmt.jdm.base.OraTask.

The class OraTask add new extension methods in 11.1 to javax.datamining.base.Task.

OraTestTask - class oracle.dmt.jdm.supervised.OraTestTask.

OraTestTask is an extension of the javax.datamining.supervised.TestTask.

OraTextTransform - interface oracle.dmt.jdm.transform.text.OraTextTransform.

Text transform is used to convert the text columns to the nested table columns that can be used for data mining.

OraTextTransformFactory - interface oracle.dmt.jdm.transform.text.OraTextTransformFactory.

OraTransformation - interface oracle.dmt.jdm.transform.OraTransformation.

Base interface for defining a transformation object.

OraTransformationFactory - interface oracle.dmt.jdm.transform.OraTransformationFactory.

OraTransformationFactory is the factory object used for creating transformation objects and transformation sequence object.

OraTransformationSequence - interface oracle.dmt.jdm.transform.OraTransformationSequence.

OraTransformationSequence represents a sequence of transformations.

OraTransformationTask - interface oracle.dmt.jdm.task.OraTransformationTask.

OraTransformationTask is used to execute the specified transformation.

OraTransformationTaskFactory - interface oracle.dmt.jdm.task.OraTransformationTaskFactory.

A factory class that creates instances of OraTranformationTask.

OraTreeSettings - class oracle.dmt.jdm.algorithm.tree.OraTreeSettings.

OraTreeSettings defines oracle specific decision tree algorithm settings i.e., minimum decrease in impurity.

oCluster - Static variable in class oracle.dmt.jdm.OraMiningAlgorithm

Represents Orthogonal Partitioning Clustering (O-Clustering) algorithm, it is used for clustering.

oracle.dmt.jdm - package oracle.dmt.jdm

This package contains oracle specific function and algorithm extensions enumerations and execution handle extension method.

oracle.dmt.jdm.algorithm.abn - package oracle.dmt.jdm.algorithm.abn

This package contains definitions for describing the oracle specific Adaptive Bayes Network (ABN) algorithm settings to build a classification model.

oracle.dmt.jdm.algorithm.glm - package oracle.dmt.jdm.algorithm.glm

This package contains definitions for describing the oracle JDM extension Generalized Linear Models (GLM) algorithm settings to build a regression and classification model.

oracle.dmt.jdm.algorithm.kmeans - package oracle.dmt.jdm.algorithm.kmeans

This package contains oracle extensions like split criterion and additional clustering distance functions for k-means algorithm settings to build a clustering model.

oracle.dmt.jdm.algorithm.nmf - package oracle.dmt.jdm.algorithm.nmf

This package contains definitions for describing the oracle specific Non-negative Matrix Factorization algorithm settings to build a feature extraction model.

oracle.dmt.jdm.algorithm.ocluster - package oracle.dmt.jdm.algorithm.ocluster

This package contains definitions for describing the oracle specific Orthogonal Partitioning Clustering (O-Cluster) algorithm settings specific to build a clustering model.

oracle.dmt.jdm.algorithm.svm.classification - package oracle.dmt.jdm.algorithm.svm.classification

This package contains extensions for describing the oracle specific Support Vector Machine algorithm settings extensions to build a classification model.

oracle.dmt.jdm.algorithm.svm.regression - package oracle.dmt.jdm.algorithm.svm.regression

This package contains extensions for describing the oracle specific Support Vector Machine algorithm settings extensions to build a regression model.

oracle.dmt.jdm.algorithm.tree - package oracle.dmt.jdm.algorithm.tree

This package contains extensions for describing the oracle specific decision tree algorithm settings extensions to build a classification model.This package contains definitions for describing the algorithm settings specific to building a model.

oracle.dmt.jdm.association - package oracle.dmt.jdm.association

This package contains oracle specific extensions like rule id and itemset id retrieval for the applications.

oracle.dmt.jdm.base - package oracle.dmt.jdm.base

This package contains OraModel extension method to set the oracle specific transformation details.

oracle.dmt.jdm.data - package oracle.dmt.jdm.data

This package contains oracle specific extension classes OraPairProbability and OraAttributeCoefficient.

oracle.dmt.jdm.featureextraction - package oracle.dmt.jdm.featureextraction

This package contains Java classes describing the settings and model for the feature extraction mining function Feature Extraction analysis has been used in text analysis and the extraction of text features of the text.consumer behavior for the discovery of relationships of co-occurrences among a set of items, e.g., the presence of one pattern implies the presence of another pattern.

oracle.dmt.jdm.modeldetail.abn - package oracle.dmt.jdm.modeldetail.abn

This package contains Java classes describing the model details of a Adaptive Bayes Network model.

oracle.dmt.jdm.modeldetail.glm - package oracle.dmt.jdm.modeldetail.glm

This package contains Java classes describing the model details of a Adaptive Bayes Network model.

oracle.dmt.jdm.resource - package oracle.dmt.jdm.resource

This package contains OraConnectionFactory calss that can create a DME Connection to Oracle Database.

oracle.dmt.jdm.supervised - package oracle.dmt.jdm.supervised

This package contains OraTestTask extension class to javax.datamining.supervised.TestTask.

oracle.dmt.jdm.supervised.classification - package oracle.dmt.jdm.supervised.classification

oracle.dmt.jdm.supervised.regression - package oracle.dmt.jdm.supervised.regression

This package contains oracle exectensions for regression apply settings and test metrics to specify the target normalization details to allow the denormalization of predictions and test metrics values.

oracle.dmt.jdm.task - package oracle.dmt.jdm.task

This package contains oracle specific extension tasks i.e., OraPredictTask, OraExplainTask, OraTransformationTask

oracle.dmt.jdm.task.apply - package oracle.dmt.jdm.task.apply

This package contains OraDataSetApplyTask extension class to javax.datamining.task.apply.DataSetApplyTask.

oracle.dmt.jdm.transform - package oracle.dmt.jdm.transform

This package contains base class OraTransform for all transformations supported by Oracle.

oracle.dmt.jdm.transform.binning - package oracle.dmt.jdm.transform.binning

This package contains binning transformation related classes.

oracle.dmt.jdm.transform.clipping - package oracle.dmt.jdm.transform.clipping

This package contains clipping transformation related classes.

oracle.dmt.jdm.transform.normalize - package oracle.dmt.jdm.transform.normalize

This package contains normalize transformation related classes.

oracle.dmt.jdm.transform.text - package oracle.dmt.jdm.transform.text

This package contains text transformation related classes.

overwriteOutput(boolean) - Method in class oracle.dmt.jdm.base.OraTask

Set the flag to indicate the task that it can overwrite if there are any of the previous outputs with the same name exist in the server.

overwriteOutput() - Method in class oracle.dmt.jdm.base.OraTask

Returns the overwrite flag set for this task.

P

P_VALUE - Static variable in interface oracle.dmt.jdm.modeldetail.glm.OraGLMModelDetail

predictTask - Static variable in class oracle.dmt.jdm.OraMiningTask

This enumeration value represents the predict task type.

produceVIFforRidgeRegression() - Method in interface oracle.dmt.jdm.algorithm.glm.OraGLMRegressionSettings

Returns true when model build is set to produce Variance Inflation Factor (VIF) measure when ridge is being used This setting works only for Linear Regression.

produceVIFforRidgeRegression(boolean) - Method in interface oracle.dmt.jdm.algorithm.glm.OraGLMRegressionSettings

Enables compulation of Variance Inflation Factor (VIF) measure as part of the model build when ridge is begin used.

profileTask - Static variable in class oracle.dmt.jdm.OraMiningTask

This enumeration value represents the profile task type.

Q

quantile - Static variable in class oracle.dmt.jdm.transform.binning.OraNumericalBinningType

Quantile binning

R

removeAll() - Method in interface oracle.dmt.jdm.transform.binning.OraCategoricalAttributeBins

Removes all bins

removeAll() - Method in interface oracle.dmt.jdm.transform.binning.OraCategoricalBin

Removes all the category values.

removeAll() - Method in interface oracle.dmt.jdm.transform.binning.OraNumericalAttributeBins

Remove all the bins.

removeAttributeExpression(String) - Method in interface oracle.dmt.jdm.transform.OraExpressionTransform

Removes the specified attribute's OraExpressionElement from the settings.

removeBin(String) - Method in interface oracle.dmt.jdm.transform.binning.OraCategoricalAttributeBins

Remove the bin from the attribute bins.

removeBin(String) - Method in interface oracle.dmt.jdm.transform.binning.OraNumericalAttributeBins

Remove the bin from the attribute bins.

removeCategory(Object) - Method in interface oracle.dmt.jdm.transform.binning.OraCategoricalBin

Remove the category value from the categorical bin.

removeCostMatrix(Connection, String) - Static method in class oracle.dmt.jdm.supervised.classification.OraClassificationModel

This method is used to remove the cost matrix associated with the model.

S

STD_COEFFICIENT - Static variable in interface oracle.dmt.jdm.modeldetail.glm.OraGLMModelDetail

STD_ERROR - Static variable in interface oracle.dmt.jdm.modeldetail.glm.OraGLMModelDetail

scale - Static variable in class oracle.dmt.jdm.transform.normalize.OraNormalizeType

setActiveLearning(boolean) - Method in class oracle.dmt.jdm.algorithm.svm.classification.OraSVMClassificationSettings

Sets to true to enable active learning by algorithm, otherwise sets to false.

setActiveLearning(boolean) - Method in class oracle.dmt.jdm.algorithm.svm.regression.OraSVMRegressionSettings

Sets to true to enable active learning by algorithm, otherwise sets to false.

setBinID(String) - Method in interface oracle.dmt.jdm.transform.binning.OraCategoricalBin

Sets the bin id of this bin.

setBinID(String) - Method in interface oracle.dmt.jdm.transform.binning.OraNumericalBin

Sets the bin id of this bin

setBlockGrowth(int) - Method in class oracle.dmt.jdm.algorithm.kmeans.OraKMeansSettings

Sets the growth factor for memory allocated to hold cluster data.

setBufferSize(long) - Method in interface oracle.dmt.jdm.algorithm.ocluster.OraOClusterSettings

Sets the buffer size used for model building.

setBuildTransformation(OraTransformation) - Method in class oracle.dmt.jdm.base.OraModel

For viewing more descriptive model by reverse transforming this method is used to set the external transformation done at the build time.

setCaseId(String) - Method in interface oracle.dmt.jdm.transform.text.OraTextTransform

Set the case id column for the input dataset

setCategoricalBinningType(OraCategoricalBinningType) - Method in interface oracle.dmt.jdm.transform.binning.OraBinningTransform

Set the categorical binning type for all categorical attributes.

setClippingType(OraClippingType) - Method in interface oracle.dmt.jdm.transform.clipping.OraClippingTransform

sets the default clipping type for all attributes.

setConfidenceLevel(double) - Method in interface oracle.dmt.jdm.algorithm.glm.OraGLMSettings

Sets confidence level for coefficient bounds.

setDiagnosticsTableName(String) - Method in interface oracle.dmt.jdm.algorithm.glm.OraGLMSettings

Sets the optional row diagnostics table name.

setEndValue(double) - Method in interface oracle.dmt.jdm.transform.binning.OraNumericalBin

Sets the end value of the bin.

setExcludeColumnList(String[]) - Method in interface oracle.dmt.jdm.transform.OraTransformation

Sets the columns that need to be excluded from the transformation.

setExplainAttributeName(String) - Method in interface oracle.dmt.jdm.task.OraExplainTask

Sets the explain attribute name to be used for Explain.

setFeatureTables(String[]) - Method in interface oracle.dmt.jdm.transform.text.OraTextTransform

Set the list of text columns and associated feature tables.

setInputData(String) - Method in interface oracle.dmt.jdm.task.OraExplainTask

Set the input data URI of the Explain.

setInputData(String, String) - Method in interface oracle.dmt.jdm.task.OraPredictTask

Set the URI for the predict task input data and case identifier to uniquely identify each case.

setInputData(String) - Method in interface oracle.dmt.jdm.task.OraProfileTask

Set the input data URI used for finding profiles.

setLiteralFlag(boolean) - Method in interface oracle.dmt.jdm.transform.binning.OraBinningTransform

Determines whether data kept in its natural format or as literals

setMaxNumberOfIterations(long) - Method in interface oracle.dmt.jdm.algorithm.nmf.OraNMFAlgorithmSettings

Set the maximum number of iterations.

setMaximumNumberOfPredictors(int) - Method in interface oracle.dmt.jdm.algorithm.abn.OraABNSettings

Sets the maximum number of predictors.

setMinConvergenceTolerance(double) - Method in interface oracle.dmt.jdm.algorithm.nmf.OraNMFAlgorithmSettings

Sets the minimum convergence tolerance.

setMinNodeSizeForSplit(double, SizeUnit) - Method in class oracle.dmt.jdm.algorithm.tree.OraTreeSettings

Oracle extension.

setMinPercentageAtrrSupport(double) - Method in class oracle.dmt.jdm.algorithm.kmeans.OraKMeansSettings

Sets the minimum percentage support required for attributes in rules.

setMissingValueTreatmentType(String) - Method in interface oracle.dmt.jdm.algorithm.glm.OraGLMSettings

Set the missing value treatment type.

setModelType(OraABNModelType) - Method in interface oracle.dmt.jdm.algorithm.abn.OraABNSettings

Sets the model type enumeration.

setNaiveBayesNumberOfPredictors(int) - Method in interface oracle.dmt.jdm.algorithm.abn.OraABNSettings

Sets the number of predictors in the NB model.

setNumberOfBins(int) - Method in class oracle.dmt.jdm.algorithm.kmeans.OraKMeansSettings

Sets the number of histogram bins.

setNumberOfBinsForCategorical(int) - Method in interface oracle.dmt.jdm.transform.binning.OraBinningTransform

Sets the number of bins for all categorical atributes.

setNumberOfBinsForNumerical(int) - Method in interface oracle.dmt.jdm.transform.binning.OraBinningTransform

Sets the number of bins for all numerical atributes.

setNumberOfFeatures(int) - Method in class oracle.dmt.jdm.featureextraction.OraFeatureExtractionSettings

Sets the number of features to be extracted.

setNumericalBinningType(OraNumericalBinningType) - Method in interface oracle.dmt.jdm.transform.binning.OraBinningTransform

Set the binning type for all numerical attributes.

setOutlierRate(double) - Method in class oracle.dmt.jdm.algorithm.svm.classification.OraSVMClassificationSettings

Sets the outlier rate that is a parameter the approximate rate of outliers (negative predictions) produced by a one-class model on the training data.

setOutputData(String) - Method in interface oracle.dmt.jdm.task.OraExplainTask

Sets the output data URI of the Explain.

setOutputData(String) - Method in interface oracle.dmt.jdm.task.OraPredictTask

Sets the output data URI of the predict.

setOutputDestinationType(boolean) - Method in class oracle.dmt.jdm.task.apply.OraDataSetApplyTask

Sets the apply output results to be as a database view or table.

setPriorProbabilitiesName(String) - Method in class oracle.dmt.jdm.supervised.classification.OraClassificationSettings

Sets the table name of a prior that will be used for model build.

setProfileResultTableName(String) - Method in interface oracle.dmt.jdm.task.OraProfileTask

Sets the profile result table name.

setReferenceCategory(Object) - Method in interface oracle.dmt.jdm.algorithm.glm.OraGLMClassificationSettings

Sets the reference category.

setRidgeValue(Double) - Method in interface oracle.dmt.jdm.algorithm.glm.OraGLMSettings

Sets the user specified ridge value.

setRound(int) - Method in interface oracle.dmt.jdm.transform.binning.OraBinningTransform

Sets the number of significant digits.

setSeedValue(long) - Method in interface oracle.dmt.jdm.algorithm.nmf.OraNMFAlgorithmSettings

Set the seed value for the random number generator.

setSensitivity(double) - Method in interface oracle.dmt.jdm.algorithm.ocluster.OraOClusterSettings

Set the sensitivity value to be using in building a clustering model.

setSplitCriterion(OraSplitCriterion) - Method in class oracle.dmt.jdm.algorithm.kmeans.OraKMeansSettings

Sets the Split criterion for k-Means Clustering.

setStartValue(double) - Method in interface oracle.dmt.jdm.transform.binning.OraNumericalBin

Sets the start value of the bin.

setTableName(ClassificationTestMetricOption, String) - Method in class oracle.dmt.jdm.supervised.classification.OraClassificationTestMetricsTask

Sets the table name to be used for persisting the associated test metric option related details.

setTableName(ClassificationTestMetricOption, String) - Method in class oracle.dmt.jdm.supervised.classification.OraClassificationTestTask

Sets the table name to be used for persisting the associated test metric option related details.

setTailFraction(double) - Method in interface oracle.dmt.jdm.transform.clipping.OraClippingTransform

Sets the clipping tail fraction.

setTargetAttributeName(String) - Method in interface oracle.dmt.jdm.task.OraPredictTask

Sets the target column to be used for prediction.

setTargetAttributeName(String) - Method in interface oracle.dmt.jdm.task.OraProfileTask

Sets the target column name to be used for finding profiles.

setTargetAttributeName(String) - Method in interface oracle.dmt.jdm.transform.binning.OraBinningTransform

For supervised numerical/categorical binning target attribute must be specified using this method.

setTargetNormalizationDetails(Double, Double) - Method in class oracle.dmt.jdm.supervised.regression.OraRegressionApplySettings

Sets the normalization details of the target columns.

setTargetNormalizationDetails(Double, Double) - Method in class oracle.dmt.jdm.supervised.regression.OraRegressionTestMetrics

Sets the normalization details of the target columns.

setTargetWeightsMap(Map) - Method in class oracle.dmt.jdm.supervised.classification.OraClassificationSettings

Sets the map that contains the weights associated with the target classes.

setTargetWeightsTableName(String) - Method in class oracle.dmt.jdm.supervised.classification.OraClassificationSettings

Sets the name of the table that contains the weights associated with the target classes.

setTestMetricsDescription(String) - Method in class oracle.dmt.jdm.supervised.OraTestTask

Sets the description for the ClassificationTestMetrics object to be created.

setTextColumnList(String[]) - Method in interface oracle.dmt.jdm.transform.text.OraTextTransform

Set the list of text columns that need to be converted to nested columns.

setTransformInputData(String) - Method in interface oracle.dmt.jdm.transform.OraTransformation

Set the input data URI of the transformation.

setTransformOutputData(String) - Method in interface oracle.dmt.jdm.transform.OraTransformation

Sets the output data URI of the transformation.

setTransformation(OraTransformation) - Method in interface oracle.dmt.jdm.task.OraTransformationTask

Used to set the transformation to be executed.

setTransformationSequence(String, boolean) - Method in interface oracle.dmt.jdm.task.OraTransformationTask

Sets transformation sequenece name and a boolean flag to indicate whether to use transformation definition tables that are pre-specified in the transformation sequence.

setTransformationSequenceName(String) - Method in class oracle.dmt.jdm.task.OraBuildTask

Sets the name of the transformation model sequence to be applied in preparing the data for model building.

singleFeature - Static variable in class oracle.dmt.jdm.algorithm.abn.OraABNModelType

supervised - Static variable in class oracle.dmt.jdm.transform.binning.OraCategoricalBinningType

Supervised binning type

supervised - Static variable in class oracle.dmt.jdm.transform.binning.OraNumericalBinningType

Supervised binning

systemDefault - Static variable in class oracle.dmt.jdm.transform.binning.OraCategoricalBinningType

Vendor-defined binning type.

systemDefault - Static variable in class oracle.dmt.jdm.transform.binning.OraNumericalBinningType

Vendor-defined binning type.

systemDefault - Static variable in class oracle.dmt.jdm.transform.normalize.OraNormalizeType

T

TEST_STATISTIC - Static variable in interface oracle.dmt.jdm.modeldetail.glm.OraGLMModelDetail

TREAT_MISSING_VALUE_AS_CASE_EXCLUSION - Static variable in interface oracle.dmt.jdm.algorithm.glm.OraGLMSettings

Constant used to specify missing values are treated by excluding the whole case when any of the model singature attribute values are missing.

TREAT_MISSING_VALUE_AS_MEAN_OR_MODE - Static variable in interface oracle.dmt.jdm.algorithm.glm.OraGLMSettings

Constant used to specify missing values are treated using the mean value for numerical attributes and mode value for categorical attributes.

toString() - Method in class oracle.dmt.jdm.association.OraItemset.OraItem

top_n - Static variable in class oracle.dmt.jdm.transform.binning.OraCategoricalBinningType

top N binning type

transformTask - Static variable in class oracle.dmt.jdm.OraMiningTask

This enumeration value representes the transformation task type.

trim - Static variable in class oracle.dmt.jdm.transform.clipping.OraClippingType

trim

U

UPPER_COEFF_LIMIT - Static variable in interface oracle.dmt.jdm.modeldetail.glm.OraGLMModelDetail

useAutomatedDataPreparations(boolean) - Method in class oracle.dmt.jdm.base.OraBuildSettings

Use this method to turn On or Off auto data preparations done as part of the model build operation.

useAutomatedDataPreparations() - Method in class oracle.dmt.jdm.base.OraBuildSettings

This method returns true when the auto data preparations is turned on.

useCost(boolean) - Method in class oracle.dmt.jdm.supervised.OraTestTask

This method specifies the flag that indicates the usage of the cost metric instead of probability to find the top prediction.

useCost() - Method in class oracle.dmt.jdm.supervised.OraTestTask

This method returns the flag that indicates the usage of the cost metric instead of probability to find the top prediction.

useRidgeRegression() - Method in interface oracle.dmt.jdm.algorithm.glm.OraGLMSettings

Returns true when ridge regression is enabled.

useRidgeRegression(Boolean) - Method in interface oracle.dmt.jdm.algorithm.glm.OraGLMSettings

Enables ridge regression when it is set to true.

V

VIF - Static variable in interface oracle.dmt.jdm.modeldetail.glm.OraGLMModelDetail

valueOf(String) - Static method in class oracle.dmt.jdm.algorithm.abn.OraABNModelType

Returns an instance of OraABNModelType corresponding to the specified name.

valueOf(String) - Static method in class oracle.dmt.jdm.algorithm.kmeans.OraSplitCriterion

Returns an instance of OraSplitCriterion corresponding to the specified name.

valueOf(String) - Static method in class oracle.dmt.jdm.featureextraction.OraFeatureExtractionApplyContent

Returns an instance of OraFeatureExtractionApplyContent corresponding to the specified name.

valueOf(String) - Static method in class oracle.dmt.jdm.transform.binning.OraCategoricalBinningType

Returns an instance of OraCategoricalBinningType corresponding to the specified name.

valueOf(String) - Static method in class oracle.dmt.jdm.transform.binning.OraNumericalBinningType

Returns an instance of OraNumericalBinningType corresponding to the specified name.

valueOf(String) - Static method in class oracle.dmt.jdm.transform.clipping.OraClippingType

Returns an instance of OraClippingType corresponding to the specified name.

valueOf(String) - Static method in class oracle.dmt.jdm.transform.normalize.OraNormalizeType

Returns an instance of OraNormalizeType corresponding to the specified name.

values() - Static method in class oracle.dmt.jdm.algorithm.abn.OraABNModelType

Returns a list of all OraABNModelType enumerations defined.

values() - Static method in class oracle.dmt.jdm.algorithm.kmeans.OraSplitCriterion

Returns a list of all OraSplitCriterion enumerations defined.

values() - Static method in class oracle.dmt.jdm.featureextraction.OraFeatureExtractionApplyContent

Returns a list of all OraFeatureExtractionApplyContent enumerations defined.

values() - Static method in class oracle.dmt.jdm.transform.binning.OraCategoricalBinningType

Returns a list of all OraCategoricalBinningType enumerations defined.

values() - Static method in class oracle.dmt.jdm.transform.binning.OraNumericalBinningType

Returns a list of all OraNumericalBinningType enumerations defined.

values() - Static method in class oracle.dmt.jdm.transform.clipping.OraClippingType

Returns a list of all OraClippingType enumerations defined.

values() - Static method in class oracle.dmt.jdm.transform.normalize.OraNormalizeType

Returns a list of all OraNormalizeType enumerations defined.

W

waitForCompletion(int, long) - Method in class oracle.dmt.jdm.OraExecutionHandle

Oracle extension method.

winsorize - Static variable in class oracle.dmt.jdm.transform.clipping.OraClippingType

winsorize

Z

z_Score - Static variable in class oracle.dmt.jdm.transform.normalize.OraNormalizeType

A C D E F G I L M N O P Q R S T U V W Z