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AcivationFunction
indicates the type of activation function used by
the neural layer.LogicalAttribute instance to the logical data.
name to MiningTask.
name to NamedObject.
name to ReportType.
name to ImportExportFormat.
name to MiningAlgorithm.
name to SortOrder.
name to ExecutionState.
name to OutlierTreatment.
name to LogicalAttributeUsage.
name to SizeUnit.
name to ComparisonOperator.
name to MiningFunction.
name to RuleProperty.
name to AssociationCapability.
name to RuleComponentOption.
name to ClusteringApplyCapability.
name to AggregationFunction.
name to ClusteringApplyContent.
name to AttributeComparisonFunction.
name to ClusteringCapability.
name to ClusteringModelProperty.
name to KernelFunction.
name to SVMRegressionCapability.
name to SVMClassificationCapability.
name to ClusteringDistanceFunction.
name to KMeansCapability.
name to FeedForwardNeuralNetCapability.
name to ActivationFunction.
name to NaiveBayesCapability.
name to TreeSelectionMethod.
name to TreeCapability.
name to TreeHomogeneityMetric.
name to LogicalAttributeCapability.
name to AttributeDataType.
name to AttributeType.
name to IntervalClosure.
name to CategoryProperty.
name to PhysicalAttributeRole.
name to PhysicalDataSetCapability.
name to PhysicalAttributeCapability.
name to TaxonomyCapability.
name to DataPreparationStatus.
name to PersistenceOption.
name to ConnectionCapability.
name to AttributeStatisticsSetCapability.
name to SettingsInclusionOption.
name to BuildTaskCapability.
name to ComputeStatisticsTaskCapability.
name to BooleanOperator.
name to RuleTranslationFormat.
name to TestTaskCapability.
name to RegressionApplyContent.
name to RegressionCapability.
name to ClassificationApplyContent.
name to ClassificationCapability.
name to ClassificationTestMetricOption.
name to ClassificationApplyCapability.
name to AttributeImportanceCapability.
name to PredictionType.
AggregationFunction describes the
aggregation function to be used to determine the
similarity between two cases (outer comparison
function).AlgorithmSettings
serves as a common interface to the set of
algorithm settings classes.ApplySettings captures a
specification that describes the output of an
apply task.ApplyTask captures the task of
applying a mining model to data that matches the
model signature.AssociationCapability enumerates a
list of the capabilities of the association rules
function being supported in a particular
implementation.AssociationModel object contains
the metadata, such as itemsets, rules, resulting
from a model built using
AssociationSettings.AssociationRule defines
a relationship between two itemsets where the
antecendent implies the consequent.- AssociationRulesAlgorithmSettings - interface javax.datamining.association.AssociationRulesAlgorithmSettings.
- An
AssociationRulesAlgorithmSettings
is a place holder for association rules algorithm
settings and serves as the common superclass for
vendor specific algorithms. - AssociationRulesAlgorithmSettingsFactory - interface javax.datamining.association.AssociationRulesAlgorithmSettingsFactory.
- A factory class that creates instances of
AssociationRulesAlgorithmSettings. - AssociationSettings - interface javax.datamining.association.AssociationSettings.
- An
AssociationSettings instance
supports build settings specific to the
association mining function. - AssociationSettingsFactory - interface javax.datamining.association.AssociationSettingsFactory.
- A factory class that creates instances of
AssociationSettings. - Attribute - interface javax.datamining.data.Attribute.
- The interface
Attribute captures the
common features of the logical, physical, and
signature attributes. - AttributeComparisonFunction - class javax.datamining.clustering.AttributeComparisonFunction.
- The enumeration
AttributeComparisonFunction describes
the comparison function to be used to determine
the similarity between two values of an attribute
(inner comparison function). - AttributeDataType - class javax.datamining.data.AttributeDataType.
- The enumeration
AttributeRepresentation is
essentially a data type for the attribute. - attributeImportance -
Static variable in class javax.datamining.MiningFunction
-
- AttributeImportanceAlgorithmSettings - interface javax.datamining.attributeimportance.AttributeImportanceAlgorithmSettings.
AttributeImportanceAlgorithmSettings
serves as a common super interface for attribute
importance algorithm settings.- AttributeImportanceCapability - class javax.datamining.attributeimportance.AttributeImportanceCapability.
- The enumeration
AttributeImportanceCapability
enumerates a list of the capabilities of the
attribute importance function being supported in a
particular implementation. - AttributeImportanceModel - interface javax.datamining.attributeimportance.AttributeImportanceModel.
AttributeImportanceModel contains
the metadata resulting from a model build using
AttributeImportanceSettings.- AttributeImportanceSettings - interface javax.datamining.attributeimportance.AttributeImportanceSettings.
- An
AttributeImportanceSettings
instance supports build settings specific to the
attribute importance mining function. - AttributeImportanceSettingsFactory - interface javax.datamining.attributeimportance.AttributeImportanceSettingsFactory.
- A factory class that creates instances of
AttributeImportanceSettings. - attributeName -
Static variable in class javax.datamining.data.PhysicalAttributeRole
-
- AttributeStatisticsSet - interface javax.datamining.statistics.AttributeStatisticsSet.
- The interface
AttributeStatisticsSet
is a container for statistics on a related set of
attributes and/or cases. - AttributeStatisticsSetCapability - class javax.datamining.statistics.AttributeStatisticsSetCapability.
- The enumeration
AttributeStatisticsSetCapability
denotes the capability of the object as to whether
it can handle particular types of statistics
information. - AttributeType - class javax.datamining.data.AttributeType.
- The enumeration
AttributeType
specifies the type of attribute to indicate how it
is to be treated by mining algorithms. - attributeValue -
Static variable in class javax.datamining.data.PhysicalAttributeRole
-
- automatedDataPreparation -
Static variable in class javax.datamining.association.AssociationCapability
-
- automatedDataPreparation -
Static variable in class javax.datamining.clustering.ClusteringCapability
-
- automatedDataPreparation -
Static variable in class javax.datamining.supervised.regression.RegressionCapability
-
- automatedDataPreparation -
Static variable in class javax.datamining.supervised.classification.ClassificationCapability
-
Backpropagation object specifies
the parameters used by the backpropagation
learning algorithm.Backpropagation.BooleanOperator
represents the Boolean operators that may connect
two predicates.BooleanPredicate represents a
Boolean value: either true or false.BuildSettings instance captures the
high level specification for building a data
mining model.BuildTask provides an abstraction of
the metadata needed to build a mining model.BuildTaskCapability
denotes the capability of build task.BuildTask.CategoryMatrix represents a matrix
whose axes are categories.CategoryProperty is
used to specify whether a Category is
valid, invalid or missing.CategorySet contains a set of
categorical values that constitute a categorical
attribute, cost matrix, confusion matrix, etc.CategorySet.ClassificationApplyCapability lists
the capabilities that are provided for
classification apply settings.ClassificationApplyContent designates
the types of generated value to appear in the
apply output of a classification model.ClassificationApplySettings captures
a specification that prescribes the output of an
apply task specific to a classification model.ClassificationSettingsOutput.ClassificationCapability enumerates a
list of the capabilities of the classification
function being supported in a particular
implementation.ClassificationModel contains the
metadata resulting from a model build using
ClassificationSettings.ClassificationSettings instance
supports function settings specific to the
classification mining function.ClassificationSettings.ClassificationTestMetricsOption
represents the type of the result to be created by
executing the ClassificationTestTask.ClassificationTestMetrics provides
an interface to access the metadata resulting from
executing a classification test task.ClassificationTestMetricsTask is a
mining task used for computing and creating test
metrics objects given an apply output data.ClassificationTestMetricsTask.ClassificationTestTask is a mining
task used for testing a classification model to
measure the goodness of the model.ClassificationTestTask.Cluster object holds the metadata
about a cluster discovered by running a clustering
algorithm.ClusteringAlgorithmSettings is the
common interface for clustering algorithm settings
classes.ClusteringApplyContentCapability
lists the capabilities that are provided for
clustering apply settings.ClusteringApplyContent designates the
types of generated value to appear in the apply
output of a clustering model.ClusteringApplySettings captures a
specification that prescribes the output of an
apply task specific to a clustering model.ClusteringApplySettings.ClusteringCapability
enumerates a list of the capabilities of the
clustering function being supported in a
particular implementation.ClusteringDistanceFunction represents
the distance functions used to compute the
distance between two points when building a
clustering model.ClusteringModel object holds the
metadata of the result of a trained clustering
model.ClusteringModelProperty enumerates a
list of the capabilities of the clustering model
being supported in a particular implementation.ClusteringSettings instance holds
metadata for required settings common to all
clustering algorithms.ClusteringSettings.ClusteringSignatureAttribute
represents the signature of an attribute that
participated in building the model.ComparisonOperator
specifies the comparison operator that associates
an attribute with a value in a
SimplePredicate.CompundPredicate is a set of
predicates connected by logical or relational
operators.testMetric and corresponding flag.
ComputeStatisticsTask is a task that
computes statistics on the specified data.ComputeStatisticsTaskCapability
denotes the capability of the object as to whether
it can handle particular types of statistics
computation.ComputeStatisticsTask.ConfusionMatrix specifies the
statistics of the correct predictions and
mispredictions.Connection instance serves the
following purposes: Encapsulates a
connection with a DME Authenticates users
Supports retrieval and storage of named
objects Provides
ConnectionMetaData Supports
execution of tasks ConnectionCapability
indicates capabilities of the implementation in
terms of the way connection is created, how object
persistence is managed, etc.ConnectionFactory provides an
interface for getting a connection to a DME
instance.ConnectionFailureException extends JDMException
to indicate conditions that a Connection to a DME has a problem.ConnectionFailureException.
ConnectionFailureException
with the specified message and error code.
ConnectionFailureException
with the specified message and error code together
with the vendor specific error code and message.
ConnectionMetaData provides
version information for the JDM implementation and
provider.ConnectionSpec encapsulates the
DME instance at a URI and user authentication
details.ExecutionStatus instance.
ContinuousStatistics captures
continuous statistical properties of an attribute.CostMatrix is used to measure the cost
of predictions made by a supervised model.- CostMatrixFactory - interface javax.datamining.supervised.classification.CostMatrixFactory.
- A factory class that creates instances of
CostMatrix. - count -
Static variable in class javax.datamining.SizeUnit
-
- create() -
Method in interface javax.datamining.association.AssociationRulesAlgorithmSettingsFactory
- Creates an instance of
AssociationRulesAlgorithmSettings initaizlied with vendor-specific default values.
- create() -
Method in interface javax.datamining.association.AssociationSettingsFactory
- Creates an instance
AssociationRulesFunctionSettings initaizlied with vendor-specific default values.
- create() -
Method in interface javax.datamining.association.RulesFilterFactory
- Createns an empty instance of
RulesFilter.
- create() -
Method in interface javax.datamining.clustering.ClusteringApplySettingsFactory
- Creates an empty instance of
ClusteringApplySettings.
- create() -
Method in interface javax.datamining.clustering.ClusteringSettingsFactory
- Creates an instance of
ClusteringSettings for building a ClusteringModel initialized to vendor-specific default values.
- create() -
Method in interface javax.datamining.algorithm.svm.regression.SVMRegressionSettingsFactory
- Creates an instance of SVMRegressionSettingsFactory initialized to vendor-specified default values.
- create() -
Method in interface javax.datamining.algorithm.svm.classification.SVMClassificationSettingsFactory
- Creates an instance of
SVMClassificationSettings initialized to vendor-specific default values.
- create() -
Method in interface javax.datamining.algorithm.kmeans.KMeansSettingsFactory
- Creates an instance of
KMeansSettings initialized to vendor-specified default values.
- create() -
Method in interface javax.datamining.algorithm.feedforwardneuralnet.FeedForwardNeuralNetSettingsFactory
- Creates an instance of
FeedForwardNeuralNetSettings object initialized to vendor-specified default values.
- create() -
Method in interface javax.datamining.algorithm.feedforwardneuralnet.BackpropagationFactory
- Creates an instance of
Backpropagation initialized to vendor-specified default values.
- create() -
Method in interface javax.datamining.algorithm.naivebayes.NaiveBayesSettingsFactory
- Constructs an instance of
NaiveBayesSettings initialized to vendor-specified default values.
- create() -
Method in interface javax.datamining.algorithm.tree.TreeSettingsFactory
- Creates an instance of TreeSettings initialized to vendor-specific default values.
- create() -
Method in interface javax.datamining.data.PhysicalDataRecordFactory
- Creates an empty instance of
PhysicalDataRecord.
- create() -
Method in interface javax.datamining.data.LogicalDataFactory
- Creates an empty instance of
LogicalData.
- create() -
Method in interface javax.datamining.task.ExportTaskFactory
- Creates an empty instance of
ExportTask.
- create() -
Method in interface javax.datamining.task.ImportTaskFactory
- Creates an empty instance of
ImportTask.
- create() -
Method in interface javax.datamining.supervised.regression.RegressionApplySettingsFactory
- Creates an instance of
RegressionApplySettings initialized to vendor-specific default values.
- create() -
Method in interface javax.datamining.supervised.regression.RegressionSettingsFactory
- Creates an instance of
RegressionSettings initialized to vendor-specific default values.
- create() -
Method in interface javax.datamining.supervised.classification.ClassificationSettingsFactory
- Creates an instance of
ClassificationSettings initialized to vendor-specific default values.
- create() -
Method in interface javax.datamining.supervised.classification.ClassificationApplySettingsFactory
- Creates an instance of
ClassificationApplySettings initialized to vendor-specific default values.
- create() -
Method in interface javax.datamining.attributeimportance.AttributeImportanceSettingsFactory
- Creates an instance of
AttributeImportanceSettings initialized with vendor-specific default values.
- create(AttributeDataType) -
Method in interface javax.datamining.data.CategorySetFactory
- Creates an instance of
CategorySet that contains categorical values of the specified data type.
- create(CategorySet) -
Method in interface javax.datamining.clustering.SimilarityMatrixFactory
- Creates an empty instance of
SimilarityMatrix.
- create(CategorySet) -
Method in interface javax.datamining.data.CategorySetFactory
- Creates an instance of
CategorySet from the given category set.
- create(CategorySet) -
Method in interface javax.datamining.supervised.classification.CostMatrixFactory
- Creates a
CostMatrix with the specified CategorySet.
- create(int) -
Method in interface javax.datamining.algorithm.feedforwardneuralnet.NeuralLayerFactory
- Creates an instance of NeuralLayer with the specified number of nodes and initialized to vendor-specified default values.
- create(ModelSignature) -
Method in interface javax.datamining.data.PhysicalDataRecordFactory
- Creates an instance of
PhysicalDataRecord and populates it with PhysicalAttribute imported from the specified ModelSignature.
- create(PhysicalDataRecord, String, String) -
Method in interface javax.datamining.task.apply.RecordApplyTaskFactory
- Creates an instance of
RecordApplyTask with the specified input data record, the model to apply, and the specification of the apply output.
- create(PhysicalDataSet) -
Method in interface javax.datamining.data.LogicalDataFactory
- Creates an instance of
LogicalData from the specified PhysicalData.
- create(String) -
Method in interface javax.datamining.data.LogicalDataFactory
- Creates an instance of
LogicalData from the specified physical data.
- create(String) -
Method in interface javax.datamining.task.ComputeStatisticsTaskFactory
- Creates an instance of
ComputeStatisticsTask with the specfied physical data.
- create(String[], AttributeDataType) -
Method in interface javax.datamining.data.PhysicalAttributeFactory
- Creates an array of
PhysicalAttribute with the given names and the attribute representation.
- create(String[], AttributeType) -
Method in interface javax.datamining.data.LogicalAttributeFactory
- Creates an array of
LogicalAttribute with the specified names and the type.
- create(String, AttributeDataType) -
Method in interface javax.datamining.data.PhysicalAttributeFactory
- Creates an instance of
PhysicalAttribute with the given name and attribute representation.
- create(String, AttributeDataType, PhysicalAttributeRole) -
Method in interface javax.datamining.data.PhysicalAttributeFactory
- Creates an instance of
PhysicalAttribute with the given name, attribute representation and role.
- create(String, AttributeType) -
Method in interface javax.datamining.data.LogicalAttributeFactory
- Creates an instance of
LogicalAttribute with the specified name and type.
- create(String, boolean) -
Method in interface javax.datamining.data.PhysicalDataSetFactory
- Creates an instance of
PhysicalDataSet with the specified URI.
- create(String, boolean) -
Method in interface javax.datamining.task.ImportTaskFactory
- Creates an instance of
ImportTask with the import data pointed to by the given URI.
- create(String, String, String) -
Method in interface javax.datamining.task.BuildTaskFactory
- Creates an instance of
BuildTask with the specified build data PhysicalDataSet, build settings, and the name of the model to be produced.
- create(String, String, String) -
Method in interface javax.datamining.supervised.regression.RegressionTestTaskFactory
- Creates an instance of
RegressionTestTask with the specified test data, the model to be used, and the name of the test metrics by which the test metrics object is persisted.
- create(String, String, String) -
Method in interface javax.datamining.supervised.classification.ClassificationTestTaskFactory
- Creates an instance of
ClassificationTestTask with the specified test data, the model to be used, and the name of the result.
- create(String, String, String, String) -
Method in interface javax.datamining.task.apply.DataSetApplyTaskFactory
- Creates an instance of
DataSetApplyTask with the specified input data, the model to apply, the specification of output, and the location of the output.
- create(String, String, String, String) -
Method in interface javax.datamining.supervised.regression.RegressionTestMetricsTaskFactory
- Creates an instance of
RegressionTestMetricsTask with the specified apply output data, the actual target attribute name, the prediction attribute name, and the result name.
- create(String, String, String, String) -
Method in interface javax.datamining.supervised.classification.ClassificationTestMetricsTaskFactory
- Creates an instance of
ClassificationTestMetricsTask with the specified apply output data, the actual target attribute name and the prediction attribute name in the apply output data, and the name of the result.
- createObject() -
Method in interface javax.datamining.data.TaxonomyFactory
- Creates an empty instance of
TaxonomyObject.
- createTable(String) -
Method in interface javax.datamining.data.TaxonomyFactory
- Creates an instance of
TaxonomyTable from a table or file.
- cStrategy -
Static variable in class javax.datamining.algorithm.svm.regression.SVMRegressionCapability
-
- cStrategy -
Static variable in class javax.datamining.algorithm.svm.classification.SVMClassificationCapability
-
- CWM1_0 -
Static variable in class javax.datamining.ImportExportFormat
-
- CWM1_1 -
Static variable in class javax.datamining.ImportExportFormat
-
DataPreparationStatus describes the
preprocessing status of a particular attribute.DataSetApplyTask captures the task
of applying a mining model to a dataset with
multiple records with unknown class values.DataSetApplyTask.DiscreteStatistics captures
discrete statistical properties of an attribute.DuplicateEntryException extends InvalidObjectException
to indicate conditions where entries with the same specification are found in an object.DuplicateEntryException.
DuplicateEntryException
with the specified message.
DuplicateEntryException
with the specified message, the vendor specific error code and message.
EntryNotFoundException extends InvalidObjectException
to indicate conditions where an entry specified with an object cannot be found or identified.EntryNotFoundException.
EntryNotFoundException
with the specified message.
EntryNotFoundException
with the specified message, the vendor specific error code and message.
ExecutionHandle allows an
application to monitor or terminate a task, as
well as wait for the completion of a task.ExecutionState
represents the states of a task.ExecutionStatus instance contains
a snapshot of task status.ExportTask provides an
abstraction of the metadata needed to convert a
JDM object to another format and place it in the
specified location.ExportTask.FeedForwardNeuralNetCapability
enumerates a list of the capabilities of the feed
forward neural network algorithm being supported
in a particular implementation.FeedForwardNeuralNetSettings
object captures the parameters associated with a
neural network algorithm.FeedForwardNeuralNetSettings.ActivationFunction associated with the layer.
PhysicalAttribute that corresponds to the specified index.
PhyisicalAttribute with the specified name present in the physical data.
SignatureAttribute instance with the specified name present in the model signature.
PhysicalAttribute objects contained.
PhysicalAttribute name.
PhyisicalAttribute instances present in the physical data.
SignatureAttribute instances present in the model signature.
AttributeStatisticsSet instance if any statistics were computed for the PhysicalData.
Cluster objects that are children of the cluster node.
ClassificationSettingsFactory.supportsCapability(ClassificationCapability.classificationError) returns true.
Cluster object in the model with the specified identifier.
Cluster objects in the clustering model.
ClassificationTestTask or ClassificationTestMetricsTask.
Connection from the specified JCX connection.
getConnection(ConnectionSpec) method was used to create the connection.
getConnection(ConnectionSpec).
mapByClusterIdentifier has been used for the cluster identifier.
NaiveBayesSettings.supportsCapability(NaiveBayesCapability.singletonCount) returns true.
MiningObject.
systemDefault and systemDetermined replaced with actual values).
getIntervals).
getValues.
ExecutionStatus for the task.
Cluster objects in the clustering model.
LearningAlgorithm object to be used for model building.
Backpropagation method.
Cluster object.
ClassificationTestTask or ClassificationTestMetricsTask.
LogicalAttribute names with the specified usage.
LogicalData instance associated with the build settings.
LogicalData object if set via setLogicalDataName(String) method.
LogicalData object.
mapPredictions method.
mapPredictions method.
mapByCategory method.
mapByClusterIdentifier method.
AssociationRulesSettings used when building the model.
actualCategory.
ImportSummary and their new names.
PhysicalDataSet from which statistics are to be computed.
mapByRank method or mapTopCluster.
mapByRank method.
ClassificationTestTask or ClassificationTestMetricsTask.
ClusteringModel.
similarityMatrix.
Predicate object that stores information on how cases are assigned to the cluster node's children.
ExecutionState of the task at a point in time.
AttributeStatisticsSet object that describes the data assigned to the cluster.
ExecutionStatus instances since the specified timestamp.
ImportSummary for the import object.
ClusteringApplyContent that are supported by the specified algorithm.
RegressionApplyContent that are supported by the specified algorithm.
ClassificationApplyContent that are supported by the specified algorithm.
LogicalAttribute that is the target.
CategorySet that are returned from ClassificationModel.getTargetCategorySet.
Taxonomy object to be used for the specified attribute.
ExecutionStatus instance was created.
Boolean value in the predicate.
CategorySet object or Interval object) associated with the attribute.
ExecutionStatus objects that contain warnings.
parentNeuronId in a layer specified by parentLayerId and a neuron in the next layer indexed by childNeuronId.
ImportExportFormat
represent the format of the object to be imported
or exported.ImportSummary provides information
on objects imported by a DME.ImportTask provides an
abstraction of the metadata needed to convert an
external object(s) to its corresponding JDM
representation.ImportTask.IncompatibleSpecificationException extends JDMException
to indicate conditions where input mining specification is incompatible.IncompatibleSpecificationException.
IncompatibleSpecificationException
with the specified message and error code.
IncompatibleSpecificationException
with the specified message and error code together
with the vendor specific error code and message.
Interval represents a connected
subset of the real numbers.IntervalClosure
represents the closure of the
Interval object.InvalidObjectException extends JDMException
to indicate conditions regarding the following:
JDM_ENTRY_NOT_FOUND (EntryNotFoundException)
JDM_DUPLICATE_ENTRY (DuplicateEntryException)
JDM_OBJECT_NOT_FOUND (ObjectNotFoundException)
JDM_OBJECT_EXISTS (ObjectExistsException)
InvalidObjectException.
InvalidObjectException
with the specified message and error code.
InvalidObjectException
with the specified message and error code together
with the vendor specific error code and message.
InvalidURIException extends JDMException
to indicate conditions where input URI is in invalid format, or the object
specified the URI is not accessible.InvalidURIException.
InvalidURIException
with the specified message and error code.
InvalidURIException
with the specified message and error code together
with the vendor specific error code and message.
Itemset object is a component of
an association rule and consists of items.ModelDetail and AlgorithmSettings.JDMErrorCodes defines the error codes to be used
in the JDM API.JDMException extends java.lang.Exception
to indicate conditions that a reasonable application might want to catch.JDMException.
JDMException with the specified message
and error code.
JDMException with the specified message
and error code together with the vendor specific error code and message.
JDMIllegalArgumentException extends
java.lang.IllegalArgumentException
to indicate conditions where the specified argument cannot be accepted by the API.JDMIllegalArgumentException.
JDMIllegalArgumentException
with the specified message and error code.
JDMIllegalArgumentException
with the specified message and error code together
with the vendor specific error code and message.
JDMUnsupportedFeatureException extends
java.lang.UnsupportedOperationException
to indicate conditions where the specified feature is not supported by the implementation.JDMUnsupportedFeatureException.
JDMUnsupportedFeatureException
with the specified message and error code.
JDMUnsupportedFeatureException
with the specified message and error code together
with the vendor specific error code and message.
KernelFunction is
used by the support vector machine (SVM) mining
algorithm.KMeansCapability
enumerates a list of the capabilities of the
k-means clustering algorithm being
supported in a particular implementation.KMeansSettings object captures the
parameters associated with the k-means
clustering algorithm.KMeansSettings.LearningAlgorithm is a
generic specification of the learning algorithm to
be employed in training a neural network.Lift is a common interface to
retrieve the result of lift computation.LogicalAttribute describes a domain
of data to be used as input to data mining
operations.LogicalAttributeCapability denotes
the capability of the DME as to whether it can
handle particular types of such object.LogicalAttribute.LogicalAttributeUsage indicates how a
particular logical attribute should be used in the
build settings.LogicalData instance is a set of
logical attributes that describe the logical
nature of the data used as input for model
building.LogicalData.MiningAlgorithm
lists the types of the mining algorithms supported
in JDM.MiningFunction lists
the types of the mining functions supported in
JDM.MiningObject serves as a common
interface for top level JDM classes.MiningTask lists the
task types in JDM.Model is the result of executing an
algorithm over a set of input (or build) data
according to a function/algorithm settings
specification.ModelDetail instance provides the
algorithm-related details, i.e., representation,
of a model.ModelSignature consists of a set of
signature attributes, each of which captures the
name and type of each attribute used to build the
corresponding model.NaiveBayesCapability
enumerates a list of the capabilities of the naive
Bayes algorithm being supported in a particular
implementation.NaiveBayesModelDetail is built by
using Bayes' Theorem, combined with a ("naïve")
presumption of conditional independence, to build
a predictive model using counts of the occurrences
of each target value, and counts of the
co-occurrences of predictor values with target
values.NaiveBayesSettings object supports
function settings specific to the NaiveBayes
mining algorithm.NaiveBayesSettings.NamedObject lists
the named objects in JDM.NeuralLayer object captures the
parameters required to describe a layer in a
neural network model.- NeuralLayerFactory - interface javax.datamining.algorithm.feedforwardneuralnet.NeuralLayerFactory.
- A factory class that creates instances of
NeuralLayer. - NeuralNetworkModelDetail - interface javax.datamining.modeldetail.feedforwardneuralnet.NeuralNetworkModelDetail.
NeuralNetworkModelDetail captures
the detailed representation of a fully connected,
multi-layer, feed-forward neural network model.- nodeId -
Static variable in class javax.datamining.supervised.classification.ClassificationApplyContent
-
- nodeStatistics -
Static variable in class javax.datamining.algorithm.tree.TreeCapability
-
- none -
Static variable in class javax.datamining.task.SettingsInclusionOption
-
- not -
Static variable in class javax.datamining.rule.BooleanOperator
-
- notEqual -
Static variable in class javax.datamining.ComparisonOperator
-
- notIn -
Static variable in class javax.datamining.ComparisonOperator
-
- notSpecified -
Static variable in class javax.datamining.data.AttributeType
-
- numerical -
Static variable in class javax.datamining.data.AttributeType
-
- numericalAttributes -
Static variable in class javax.datamining.data.LogicalAttributeCapability
-
- numericalInterQuartileRange -
Static variable in class javax.datamining.statistics.AttributeStatisticsSetCapability
-
- numericalMedian -
Static variable in class javax.datamining.statistics.AttributeStatisticsSetCapability
-
- numericalQuantiles -
Static variable in class javax.datamining.statistics.AttributeStatisticsSetCapability
-
- NumericalStatistics - interface javax.datamining.statistics.NumericalStatistics.
- A
NumericalStatistics captures
numerical statistical properties of an attribute. ObjectExistsException extends InvalidObjectException
to indicate conditions where the specified object has a conflicting name of another
object in the DME.ObjectExistsException.
ObjectExistsException
with the specified message.
ObjectExistsException
with the specified message, the vendor specific error code and message.
ObjectNotFoundException extends InvalidObjectException
to indicate conditions where the specified object cannot be found or identified in the
DME.ObjectNotFoundException.
ObjectNotFoundException
with the specified message.
ObjectNotFoundException
with the specified message, the vendor specific error code and message.
OutlierTreatment
defines how outliers are to be treated during
model build.PersistenceOption
indicates how objects are persisted.PhysicalAttribute encapsulates the
details of the attribute of a physical data
source.PhysicalAttributeCapability denotes
the capabilities of PhysicalAttribute
as to whether an implementation can handle
particular capabilities.PhysicalAttribute.PhysicalAttributeRole determines the
role of a PhysicalAttribute.PhysicalDataRecord represents a
record as a set of name-value pairs and enables
singleton record scoring.PhysicalDataRecord.PhysicalDataSet serves
as a common interface for describing data to be
used as input to data mining.PhysicalDataSetCapability denotes the
capabilities of PhysicalDataSet as to
whether it can handle particular types of such
object.PhysicalDataSet.ImportSummary given a URI of the object to be imported.
Predicate serves as the common
interface for the three types of predicates:
SimplePredicate,
BooleanPredicate or
CompoundPredicate.PredictionType
designates the type of the prediction.ReceiverOperatingCharacteristics is
a common interface to retrieve the result of
receiver operating characteristic computation.RecordApplyTask captures the task of
applying a mining model to a single record.RecordApplyTask.RegressionApplyContent designates the
types of generated value to appear in the apply
output of a regression model.RegressionApplySettings captures a
specification that prescribes the output of an
apply task specific to a regression model.RegressionApplySettings.RegressionCapability
enumerates a list of the capabilities of the
regression function being supported in a
particular implementation.RegressionModel contains the
metadata resulting from a model build using an
RegressionSettings.RegressionSettings instance
supports function settings specific to the
regression mining function.RegressionSettings.RegressionTestResult provides an
interface to access the metadata resulting from
executing a RegressionTestTask.RegressionTestMetricsTask is a
mining task used for computing and creating test
metrics objects given an apply output data.RegressionTestTask is a mining
task used for testing a
RegressionModel to measure the
goodness of the model.RegressionTestTask.PhysicalDataRecord instance.
PhysicalDataSet instance.
LogicalAttribute instance from the logical data.
ReportType defines
the type of the report contained in the
VerificationReport object.Model objects for the specified function and algorithm that were created within the specified time interval (createAfter to createBefore).
createAfter to createBefore).
createAfter to createBefore).
Rule generalizes
predicate rules to support, e.g., decision tree
rules.RuleComponentOption
lists the components of the rule to be selected.RuleProperty
specifies the properties that may be available
with an AssociationRule.RulesFilter provides
the specification for a rules filter to be used
for retrieval of the rules that satisfies the
specified conditions.RulesFilter.RuleTranslationFormat specifies the
format of a string representation of a rule.supportsCapability for costMatrix returns true.
MiningObject.
Backpropagation method.
LogicalData object.
LogicalData to be used as a reference for more detailed attribute information that can direct statistics computation.
ImportSummary to user provided names, which may or may not be the same as the names of the objects in the ImportSummary.
PhysicalDataSet from which statistics are computed.
Taxonomy to be used for the specified attribute.
SettingsOption lists
the options of how to include the settings objects
contained in a model.SignatureAttribute is
used to represent a LogicalAttribute
used for model building and required for applying
a model.SimilarityMatrix specifies the
similarity values between two values of an
attribute.SimilarityMatrix.SimplePredicate consists of a
single comparison between an attribute name and a
constant.SizeUnit specifies
the unit of the number being returned.SortOrder defines
sort order options for objects retrieved from the
DME.SupervisedAlgorithmSettings serves
as a common interface for all supervised learning
algorithms supported in JDM.SupervisedModel is a common
interface for supervised mining models supported
in JDM.SupervisedSettings
serves as a common interface for supervised mining
functions.LogicalAttribute being used.
function is provided: returns true if the specified function is supported.
PhysicalData being used.
AttributeStatisticsSet being used.
SVMClassificationCapability
enumerates a list of the capabilities of the SVM
algorithm being supported in a particular
implementation.SVMClassificationSettings object
captures the parameters associated with the SVM
classification algorithm.SVMClassificationSettings objects.SVMModelDetail holds details of
the SVM model.SVMRegressionCapability enumerates a
list of the capabilities of the SVM algorithm
being supported in a particular implementation.SVMRegressionSettings object
supports function settings specific to the SVM
regression mining algorithm.SVMRegressionSettings.Task is an abstraction
of the metadata needed to perform a mining
operation.TaskException extends JDMException
to indicate conditions where execution of Task cannot progress.TaskException.
TaskException
with the specified message and error code.
TaskException
with the specified message and error code together
with the vendor specific error code and message.
Taxonomy is an interface that allows
the creation and manipulation of taxonomies.TaxonomyCapability
denotes the capabilities of Taxonomy
as to whether it can handle particular types of
such object.TaxonomyTable and
TaxonomyObject.TaxonomyObject is a taxonomy
hierarchy represented in a Java object.TaxonomyTable is a
taxonomy represented in a database table.TestMetrics is a common interface
for the metadata created as the result of
executing a test task on a supervised model.TestMetricsTask
represents a common placeholder for a task that is
used to obtain various test metrics given an apply
output.TestTask is a common interface for
all tasks that test a supervised model.TestTaskCapability
lists the capabilities that are provided for test
task.TreeCapability
enumerates a list of the capabilities of the
decision tree algorithm being supported in a
particular implementation.TreeHomogeneityMetric represents the
goodness measure of a split.TreeModelDetail holds details of a
tree model.TreeNode characterizes a partition
of a multidimensional dataset.TreeSelectionMethod
describes the method used for choosing the best
tree along the pruning path.TreeSettings object is a subclass
of SupervisedAlgorithmSettings that
supports capabilities of the classification and
regression mining function and corresponding
algorithms.TreeSettings.UnivariateStatistics captures the
statistics for an attribute.MiningTask corresponding to the specified name.
NamedObject corresponding to the specified name.
ReportType corresponding to the specified name.
ImportExportFormat corresponding to the specified name.
MiningAlgorithm corresponding to the specified name.
SortOrder corresponding to the specified name.
ExecutionState corresponding to the specified name.
OutlierTreatment corresponding to the specified name.
LogicalAttributeUsage corresponding to the specified name.
SizeUnit corresponding to the specified name.
ComparisonOperator corresponding to the specified name.
MiningFunction corresponding to the specified name.
RuleProperty corresponding to the specified name.
AssociationCapability corresponding to the specified name.
RuleComponentOption corresponding to the specified name.
ClusteringApplyCapability corresponding to the specified name.
AggregationFunction corresponding to the specified name.
ClusteringApplyContent corresponding to the specified name.
AttributeComparisonFunction corresponding to the specified name.
ClusteringCapability corresponding to the specified name.
ClusteringModelProperty corresponding to the specified name.
KernelFunction corresponding to the specified name.
SVMRegressionCapability corresponding to the specified name.
SVMClassificationCapability corresponding to the specified name.
ClusteringDistanceFunction corresponding to the specified name.
KMeansCapability corresponding to the specified name.
FeedForwardNeuralNetCapability corresponding to the specified name.
ActivationFunction corresponding to the specified name.
NaiveBayesCapability corresponding to the specified name.
TreeSelectionMethod corresponding to the specified name.
TreeCapability corresponding to the specified name.
TreeHomogeneityMetric corresponding to the specified name.
LogicalAttributeCapability corresponding to the specified name.
AttributeDataType corresponding to the specified name.
AttributeType corresponding to the specified name.
IntervalClosure corresponding to the specified name.
CategoryProperty corresponding to the specified name.
PhysicalAttributeRole corresponding to the specified name.
PhysicalDataSetCapability corresponding to the specified name.
PhysicalAttributeCapability corresponding to the specified name.
TaxonomyCapability corresponding to the specified name.
DataPreparationStatus corresponding to the specified name.
PersistenceOption corresponding to the specified name.
ConnectionCapability corresponding to the specified name.
AttributeStatisticsSetCapability corresponding to the specified name.
SettingsInclusionOption corresponding to the specified name.
BuildTaskCapability corresponding to the specified name.
ComputeStatisticsTaskCapability corresponding to the specified name.
BooleanOperator corresponding to the specified name.
RuleTranslationFormat corresponding to the specified name.
TestTaskCapability corresponding to the specified name.
RegressionApplyContent corresponding to the specified name.
RegressionCapability corresponding to the specified name.
ClassificationApplyContent corresponding to the specified name.
ClassificationCapability corresponding to the specified name.
ClassificationTestMetricOption corresponding to the specified name.
ClassificationApplyCapability corresponding to the specified name.
AttributeImportanceCapability corresponding to the specified name.
PredictionType corresponding to the specified name.
MiningTask enumerations defined.
NamedObject enumerations defined.
ReportType enumerations defined.
ImportExportFormat enumerations defined.
MiningAlgorithm enumerations defined.
SortOrder enumerations defined.
ExecutionState enumerations defined.
OutlierTreatment enumerations defined.
LogicalAttributeUsage enumerations defined.
SizeUnit enumerations defined.
ComparisonOperator enumerations defined.
MiningFunction enumerations defined.
RuleProperty enumerations defined.
AssociationCapability enumerations defined.
RuleComponentOption enumerations defined.
ClusteringApplyCapability enumerations defined.
AggregationFunction enumerations defined.
ClusteringApplyContent enumerations defined.
AttributeComparisonFunction enumerations defined.
ClusteringCapability enumerations defined.
ClusteringModelProperty enumerations defined.
KernelFunction enumerations defined.
SVMRegressionCapability enumerations defined.
SVMClassificationCapability enumerations defined.
ClusteringDistanceFunction enumerations defined.
KMeansCapability enumerations defined.
FeedForwardNeuralNetCapability enumerations defined.
ActivationFunction enumerations defined.
NaiveBayesCapability enumerations defined.
TreeSelectionMethod enumerations defined.
TreeCapability enumerations defined.
TreeHomogeneityMetric enumerations defined.
LogicalAttributeCapability enumerations defined.
AttributeDataType enumerations defined.
AttributeType enumerations defined.
IntervalClosure enumerations defined.
CategoryProperty enumerations defined.
PhysicalAttributeRole enumerations defined.
PhysicalDataSetCapability enumerations defined.
PhysicalAttributeCapability enumerations defined.
TaxonomyCapability enumerations defined.
DataPreparationStatus enumerations defined.
PersistenceOption enumerations defined.
ConnectionCapability enumerations defined.
AttributeStatisticsSetCapability enumerations defined.
SettingsInclusionOption enumerations defined.
BuildTaskCapability enumerations defined.
ComputeStatisticsTaskCapability enumerations defined.
BooleanOperator enumerations defined.
RuleTranslationFormat enumerations defined.
TestTaskCapability enumerations defined.
RegressionApplyContent enumerations defined.
RegressionCapability enumerations defined.
ClassificationApplyContent enumerations defined.
ClassificationCapability enumerations defined.
ClassificationTestMetricOption enumerations defined.
ClassificationApplyCapability enumerations defined.
AttributeImportanceCapability enumerations defined.
PredictionType enumerations defined.
VerificationReport instance is
used to provide results from a verify method.