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Hierarchy For Package org.apache.spark.ml.classification
Package Hierarchies:
All Packages
Class Hierarchy
Object
org.apache.spark.ml.classification.
FMClassificationSummaryImpl
(implements org.apache.spark.ml.classification.
FMClassificationSummary
)
org.apache.spark.ml.classification.
FMClassificationTrainingSummaryImpl
(implements org.apache.spark.ml.classification.
FMClassificationTrainingSummary
)
org.apache.spark.ml.classification.
LinearSVCSummaryImpl
(implements org.apache.spark.ml.classification.
LinearSVCSummary
)
org.apache.spark.ml.classification.
LinearSVCTrainingSummaryImpl
(implements org.apache.spark.ml.classification.
LinearSVCTrainingSummary
)
org.apache.spark.ml.classification.
LogisticRegressionSummaryImpl
(implements org.apache.spark.ml.classification.
LogisticRegressionSummary
)
org.apache.spark.ml.classification.
BinaryLogisticRegressionSummaryImpl
(implements org.apache.spark.ml.classification.
BinaryLogisticRegressionSummary
)
org.apache.spark.ml.classification.
BinaryLogisticRegressionTrainingSummaryImpl
(implements org.apache.spark.ml.classification.
BinaryLogisticRegressionTrainingSummary
)
org.apache.spark.ml.classification.
LogisticRegressionTrainingSummaryImpl
(implements org.apache.spark.ml.classification.
LogisticRegressionTrainingSummary
)
org.apache.spark.ml.classification.
MultilayerPerceptronClassificationSummaryImpl
(implements org.apache.spark.ml.classification.
MultilayerPerceptronClassificationSummary
)
org.apache.spark.ml.classification.
MultilayerPerceptronClassificationTrainingSummaryImpl
(implements org.apache.spark.ml.classification.
MultilayerPerceptronClassificationTrainingSummary
)
org.apache.spark.ml.
PipelineStage
(implements org.apache.spark.internal.Logging, org.apache.spark.ml.param.
Params
)
org.apache.spark.ml.
Estimator
<M>
org.apache.spark.ml.classification.
OneVsRest
(implements org.apache.spark.ml.param.shared.
HasParallelism
, org.apache.spark.ml.util.
MLWritable
, org.apache.spark.ml.classification.
OneVsRestParams
)
org.apache.spark.ml.
Predictor
<FeaturesType,Learner,M> (implements org.apache.spark.ml.
PredictorParams
)
org.apache.spark.ml.classification.
Classifier
<FeaturesType,E,M> (implements org.apache.spark.ml.classification.
ClassifierParams
)
org.apache.spark.ml.classification.
LinearSVC
(implements org.apache.spark.ml.util.
DefaultParamsWritable
, org.apache.spark.ml.classification.
LinearSVCParams
)
org.apache.spark.ml.classification.
ProbabilisticClassifier
<FeaturesType,E,M> (implements org.apache.spark.ml.classification.
ProbabilisticClassifierParams
)
org.apache.spark.ml.classification.
DecisionTreeClassifier
(implements org.apache.spark.ml.tree.
DecisionTreeClassifierParams
, org.apache.spark.ml.util.
DefaultParamsWritable
)
org.apache.spark.ml.classification.
FMClassifier
(implements org.apache.spark.ml.util.
DefaultParamsWritable
, org.apache.spark.ml.regression.
FactorizationMachines
, org.apache.spark.ml.classification.
FMClassifierParams
, org.apache.spark.internal.Logging)
org.apache.spark.ml.classification.
GBTClassifier
(implements org.apache.spark.ml.util.
DefaultParamsWritable
, org.apache.spark.ml.tree.
GBTClassifierParams
, org.apache.spark.internal.Logging)
org.apache.spark.ml.classification.
LogisticRegression
(implements org.apache.spark.ml.util.
DefaultParamsWritable
, org.apache.spark.internal.Logging, org.apache.spark.ml.classification.
LogisticRegressionParams
)
org.apache.spark.ml.classification.
MultilayerPerceptronClassifier
(implements org.apache.spark.ml.util.
DefaultParamsWritable
, org.apache.spark.ml.classification.
MultilayerPerceptronParams
)
org.apache.spark.ml.classification.
NaiveBayes
(implements org.apache.spark.ml.util.
DefaultParamsWritable
, org.apache.spark.ml.classification.
NaiveBayesParams
)
org.apache.spark.ml.classification.
RandomForestClassifier
(implements org.apache.spark.ml.util.
DefaultParamsWritable
, org.apache.spark.ml.tree.
RandomForestClassifierParams
)
org.apache.spark.ml.
Transformer
org.apache.spark.ml.
Model
<M>
org.apache.spark.ml.classification.
OneVsRestModel
(implements org.apache.spark.ml.util.
MLWritable
, org.apache.spark.ml.classification.
OneVsRestParams
)
org.apache.spark.ml.
PredictionModel
<FeaturesType,M> (implements org.apache.spark.ml.
PredictorParams
)
org.apache.spark.ml.classification.
ClassificationModel
<FeaturesType,M> (implements org.apache.spark.ml.classification.
ClassifierParams
)
org.apache.spark.ml.classification.
LinearSVCModel
(implements org.apache.spark.ml.util.
HasTrainingSummary
<T>, org.apache.spark.ml.classification.
LinearSVCParams
, org.apache.spark.ml.util.
MLWritable
)
org.apache.spark.ml.classification.
ProbabilisticClassificationModel
<FeaturesType,M> (implements org.apache.spark.ml.classification.
ProbabilisticClassifierParams
)
org.apache.spark.ml.classification.
DecisionTreeClassificationModel
(implements org.apache.spark.ml.tree.
DecisionTreeClassifierParams
, org.apache.spark.ml.tree.
DecisionTreeModel
, org.apache.spark.ml.util.
MLWritable
, scala.Serializable)
org.apache.spark.ml.classification.
FMClassificationModel
(implements org.apache.spark.ml.classification.
FMClassifierParams
, org.apache.spark.ml.util.
HasTrainingSummary
<T>, org.apache.spark.ml.util.
MLWritable
)
org.apache.spark.ml.classification.
GBTClassificationModel
(implements org.apache.spark.ml.tree.
GBTClassifierParams
, org.apache.spark.ml.util.
MLWritable
, scala.Serializable, org.apache.spark.ml.tree.
TreeEnsembleModel
<M>)
org.apache.spark.ml.classification.
LogisticRegressionModel
(implements org.apache.spark.ml.util.
HasTrainingSummary
<T>, org.apache.spark.ml.classification.
LogisticRegressionParams
, org.apache.spark.ml.util.
MLWritable
)
org.apache.spark.ml.classification.
MultilayerPerceptronClassificationModel
(implements org.apache.spark.ml.util.
HasTrainingSummary
<T>, org.apache.spark.ml.util.
MLWritable
, org.apache.spark.ml.classification.
MultilayerPerceptronParams
, scala.Serializable)
org.apache.spark.ml.classification.
NaiveBayesModel
(implements org.apache.spark.ml.util.
MLWritable
, org.apache.spark.ml.classification.
NaiveBayesParams
)
org.apache.spark.ml.classification.
RandomForestClassificationModel
(implements org.apache.spark.ml.util.
HasTrainingSummary
<T>, org.apache.spark.ml.util.
MLWritable
, org.apache.spark.ml.tree.
RandomForestClassifierParams
, scala.Serializable, org.apache.spark.ml.tree.
TreeEnsembleModel
<M>)
org.apache.spark.ml.classification.
RandomForestClassificationSummaryImpl
(implements org.apache.spark.ml.classification.
RandomForestClassificationSummary
)
org.apache.spark.ml.classification.
BinaryRandomForestClassificationSummaryImpl
(implements org.apache.spark.ml.classification.
BinaryRandomForestClassificationSummary
)
org.apache.spark.ml.classification.
BinaryRandomForestClassificationTrainingSummaryImpl
(implements org.apache.spark.ml.classification.
BinaryRandomForestClassificationTrainingSummary
)
org.apache.spark.ml.classification.
RandomForestClassificationTrainingSummaryImpl
(implements org.apache.spark.ml.classification.
RandomForestClassificationTrainingSummary
)
Interface Hierarchy
org.apache.spark.ml.classification.
ClassifierTypeTrait
org.apache.spark.ml.classification.
OneVsRestParams
(also extends org.apache.spark.ml.classification.
ClassifierParams
, org.apache.spark.ml.param.shared.
HasWeightCol
)
org.apache.spark.ml.util.
Identifiable
org.apache.spark.ml.param.
Params
(also extends scala.Serializable)
org.apache.spark.ml.param.shared.
HasAggregationDepth
org.apache.spark.ml.classification.
LinearSVCParams
(also extends org.apache.spark.ml.classification.
ClassifierParams
, org.apache.spark.ml.param.shared.
HasFitIntercept
, org.apache.spark.ml.param.shared.
HasMaxBlockSizeInMB
, org.apache.spark.ml.param.shared.
HasMaxIter
, org.apache.spark.ml.param.shared.
HasRegParam
, org.apache.spark.ml.param.shared.
HasStandardization
, org.apache.spark.ml.param.shared.
HasThreshold
, org.apache.spark.ml.param.shared.
HasTol
, org.apache.spark.ml.param.shared.
HasWeightCol
)
org.apache.spark.ml.classification.
LogisticRegressionParams
(also extends org.apache.spark.ml.param.shared.
HasElasticNetParam
, org.apache.spark.ml.param.shared.
HasFitIntercept
, org.apache.spark.ml.param.shared.
HasMaxBlockSizeInMB
, org.apache.spark.ml.param.shared.
HasMaxIter
, org.apache.spark.ml.param.shared.
HasRegParam
, org.apache.spark.ml.param.shared.
HasStandardization
, org.apache.spark.ml.param.shared.
HasThreshold
, org.apache.spark.ml.param.shared.
HasTol
, org.apache.spark.ml.param.shared.
HasWeightCol
, org.apache.spark.ml.classification.
ProbabilisticClassifierParams
)
org.apache.spark.ml.param.shared.
HasBlockSize
org.apache.spark.ml.classification.
MultilayerPerceptronParams
(also extends org.apache.spark.ml.param.shared.
HasMaxIter
, org.apache.spark.ml.param.shared.
HasSeed
, org.apache.spark.ml.param.shared.
HasSolver
, org.apache.spark.ml.param.shared.
HasStepSize
, org.apache.spark.ml.param.shared.
HasTol
, org.apache.spark.ml.classification.
ProbabilisticClassifierParams
)
org.apache.spark.ml.param.shared.
HasElasticNetParam
org.apache.spark.ml.classification.
LogisticRegressionParams
(also extends org.apache.spark.ml.param.shared.
HasAggregationDepth
, org.apache.spark.ml.param.shared.
HasFitIntercept
, org.apache.spark.ml.param.shared.
HasMaxBlockSizeInMB
, org.apache.spark.ml.param.shared.
HasMaxIter
, org.apache.spark.ml.param.shared.
HasRegParam
, org.apache.spark.ml.param.shared.
HasStandardization
, org.apache.spark.ml.param.shared.
HasThreshold
, org.apache.spark.ml.param.shared.
HasTol
, org.apache.spark.ml.param.shared.
HasWeightCol
, org.apache.spark.ml.classification.
ProbabilisticClassifierParams
)
org.apache.spark.ml.param.shared.
HasFeaturesCol
org.apache.spark.ml.
PredictorParams
(also extends org.apache.spark.ml.param.shared.
HasLabelCol
, org.apache.spark.ml.param.shared.
HasPredictionCol
, org.apache.spark.ml.param.
Params
)
org.apache.spark.ml.classification.
ClassifierParams
(also extends org.apache.spark.ml.param.shared.
HasRawPredictionCol
)
org.apache.spark.ml.classification.
LinearSVCParams
(also extends org.apache.spark.ml.param.shared.
HasAggregationDepth
, org.apache.spark.ml.param.shared.
HasFitIntercept
, org.apache.spark.ml.param.shared.
HasMaxBlockSizeInMB
, org.apache.spark.ml.param.shared.
HasMaxIter
, org.apache.spark.ml.param.shared.
HasRegParam
, org.apache.spark.ml.param.shared.
HasStandardization
, org.apache.spark.ml.param.shared.
HasThreshold
, org.apache.spark.ml.param.shared.
HasTol
, org.apache.spark.ml.param.shared.
HasWeightCol
)
org.apache.spark.ml.classification.
OneVsRestParams
(also extends org.apache.spark.ml.classification.
ClassifierTypeTrait
, org.apache.spark.ml.param.shared.
HasWeightCol
)
org.apache.spark.ml.classification.
ProbabilisticClassifierParams
(also extends org.apache.spark.ml.param.shared.
HasProbabilityCol
, org.apache.spark.ml.param.shared.
HasThresholds
)
org.apache.spark.ml.classification.
FMClassifierParams
(also extends org.apache.spark.ml.regression.
FactorizationMachinesParams
)
org.apache.spark.ml.classification.
LogisticRegressionParams
(also extends org.apache.spark.ml.param.shared.
HasAggregationDepth
, org.apache.spark.ml.param.shared.
HasElasticNetParam
, org.apache.spark.ml.param.shared.
HasFitIntercept
, org.apache.spark.ml.param.shared.
HasMaxBlockSizeInMB
, org.apache.spark.ml.param.shared.
HasMaxIter
, org.apache.spark.ml.param.shared.
HasRegParam
, org.apache.spark.ml.param.shared.
HasStandardization
, org.apache.spark.ml.param.shared.
HasThreshold
, org.apache.spark.ml.param.shared.
HasTol
, org.apache.spark.ml.param.shared.
HasWeightCol
)
org.apache.spark.ml.classification.
MultilayerPerceptronParams
(also extends org.apache.spark.ml.param.shared.
HasBlockSize
, org.apache.spark.ml.param.shared.
HasMaxIter
, org.apache.spark.ml.param.shared.
HasSeed
, org.apache.spark.ml.param.shared.
HasSolver
, org.apache.spark.ml.param.shared.
HasStepSize
, org.apache.spark.ml.param.shared.
HasTol
)
org.apache.spark.ml.regression.
FactorizationMachinesParams
(also extends org.apache.spark.ml.param.shared.
HasFitIntercept
, org.apache.spark.ml.param.shared.
HasMaxIter
, org.apache.spark.ml.param.shared.
HasRegParam
, org.apache.spark.ml.param.shared.
HasSeed
, org.apache.spark.ml.param.shared.
HasSolver
, org.apache.spark.ml.param.shared.
HasStepSize
, org.apache.spark.ml.param.shared.
HasTol
, org.apache.spark.ml.param.shared.
HasWeightCol
)
org.apache.spark.ml.classification.
FMClassifierParams
(also extends org.apache.spark.ml.classification.
ProbabilisticClassifierParams
)
org.apache.spark.ml.classification.
NaiveBayesParams
(also extends org.apache.spark.ml.param.shared.
HasWeightCol
)
org.apache.spark.ml.param.shared.
HasFitIntercept
org.apache.spark.ml.regression.
FactorizationMachinesParams
(also extends org.apache.spark.ml.param.shared.
HasMaxIter
, org.apache.spark.ml.param.shared.
HasRegParam
, org.apache.spark.ml.param.shared.
HasSeed
, org.apache.spark.ml.param.shared.
HasSolver
, org.apache.spark.ml.param.shared.
HasStepSize
, org.apache.spark.ml.param.shared.
HasTol
, org.apache.spark.ml.param.shared.
HasWeightCol
, org.apache.spark.ml.
PredictorParams
)
org.apache.spark.ml.classification.
FMClassifierParams
(also extends org.apache.spark.ml.classification.
ProbabilisticClassifierParams
)
org.apache.spark.ml.classification.
LinearSVCParams
(also extends org.apache.spark.ml.classification.
ClassifierParams
, org.apache.spark.ml.param.shared.
HasAggregationDepth
, org.apache.spark.ml.param.shared.
HasMaxBlockSizeInMB
, org.apache.spark.ml.param.shared.
HasMaxIter
, org.apache.spark.ml.param.shared.
HasRegParam
, org.apache.spark.ml.param.shared.
HasStandardization
, org.apache.spark.ml.param.shared.
HasThreshold
, org.apache.spark.ml.param.shared.
HasTol
, org.apache.spark.ml.param.shared.
HasWeightCol
)
org.apache.spark.ml.classification.
LogisticRegressionParams
(also extends org.apache.spark.ml.param.shared.
HasAggregationDepth
, org.apache.spark.ml.param.shared.
HasElasticNetParam
, org.apache.spark.ml.param.shared.
HasMaxBlockSizeInMB
, org.apache.spark.ml.param.shared.
HasMaxIter
, org.apache.spark.ml.param.shared.
HasRegParam
, org.apache.spark.ml.param.shared.
HasStandardization
, org.apache.spark.ml.param.shared.
HasThreshold
, org.apache.spark.ml.param.shared.
HasTol
, org.apache.spark.ml.param.shared.
HasWeightCol
, org.apache.spark.ml.classification.
ProbabilisticClassifierParams
)
org.apache.spark.ml.param.shared.
HasLabelCol
org.apache.spark.ml.
PredictorParams
(also extends org.apache.spark.ml.param.shared.
HasFeaturesCol
, org.apache.spark.ml.param.shared.
HasPredictionCol
, org.apache.spark.ml.param.
Params
)
org.apache.spark.ml.classification.
ClassifierParams
(also extends org.apache.spark.ml.param.shared.
HasRawPredictionCol
)
org.apache.spark.ml.classification.
LinearSVCParams
(also extends org.apache.spark.ml.param.shared.
HasAggregationDepth
, org.apache.spark.ml.param.shared.
HasFitIntercept
, org.apache.spark.ml.param.shared.
HasMaxBlockSizeInMB
, org.apache.spark.ml.param.shared.
HasMaxIter
, org.apache.spark.ml.param.shared.
HasRegParam
, org.apache.spark.ml.param.shared.
HasStandardization
, org.apache.spark.ml.param.shared.
HasThreshold
, org.apache.spark.ml.param.shared.
HasTol
, org.apache.spark.ml.param.shared.
HasWeightCol
)
org.apache.spark.ml.classification.
OneVsRestParams
(also extends org.apache.spark.ml.classification.
ClassifierTypeTrait
, org.apache.spark.ml.param.shared.
HasWeightCol
)
org.apache.spark.ml.classification.
ProbabilisticClassifierParams
(also extends org.apache.spark.ml.param.shared.
HasProbabilityCol
, org.apache.spark.ml.param.shared.
HasThresholds
)
org.apache.spark.ml.classification.
FMClassifierParams
(also extends org.apache.spark.ml.regression.
FactorizationMachinesParams
)
org.apache.spark.ml.classification.
LogisticRegressionParams
(also extends org.apache.spark.ml.param.shared.
HasAggregationDepth
, org.apache.spark.ml.param.shared.
HasElasticNetParam
, org.apache.spark.ml.param.shared.
HasFitIntercept
, org.apache.spark.ml.param.shared.
HasMaxBlockSizeInMB
, org.apache.spark.ml.param.shared.
HasMaxIter
, org.apache.spark.ml.param.shared.
HasRegParam
, org.apache.spark.ml.param.shared.
HasStandardization
, org.apache.spark.ml.param.shared.
HasThreshold
, org.apache.spark.ml.param.shared.
HasTol
, org.apache.spark.ml.param.shared.
HasWeightCol
)
org.apache.spark.ml.classification.
MultilayerPerceptronParams
(also extends org.apache.spark.ml.param.shared.
HasBlockSize
, org.apache.spark.ml.param.shared.
HasMaxIter
, org.apache.spark.ml.param.shared.
HasSeed
, org.apache.spark.ml.param.shared.
HasSolver
, org.apache.spark.ml.param.shared.
HasStepSize
, org.apache.spark.ml.param.shared.
HasTol
)
org.apache.spark.ml.regression.
FactorizationMachinesParams
(also extends org.apache.spark.ml.param.shared.
HasFitIntercept
, org.apache.spark.ml.param.shared.
HasMaxIter
, org.apache.spark.ml.param.shared.
HasRegParam
, org.apache.spark.ml.param.shared.
HasSeed
, org.apache.spark.ml.param.shared.
HasSolver
, org.apache.spark.ml.param.shared.
HasStepSize
, org.apache.spark.ml.param.shared.
HasTol
, org.apache.spark.ml.param.shared.
HasWeightCol
)
org.apache.spark.ml.classification.
FMClassifierParams
(also extends org.apache.spark.ml.classification.
ProbabilisticClassifierParams
)
org.apache.spark.ml.classification.
NaiveBayesParams
(also extends org.apache.spark.ml.param.shared.
HasWeightCol
)
org.apache.spark.ml.param.shared.
HasMaxBlockSizeInMB
org.apache.spark.ml.classification.
LinearSVCParams
(also extends org.apache.spark.ml.classification.
ClassifierParams
, org.apache.spark.ml.param.shared.
HasAggregationDepth
, org.apache.spark.ml.param.shared.
HasFitIntercept
, org.apache.spark.ml.param.shared.
HasMaxIter
, org.apache.spark.ml.param.shared.
HasRegParam
, org.apache.spark.ml.param.shared.
HasStandardization
, org.apache.spark.ml.param.shared.
HasThreshold
, org.apache.spark.ml.param.shared.
HasTol
, org.apache.spark.ml.param.shared.
HasWeightCol
)
org.apache.spark.ml.classification.
LogisticRegressionParams
(also extends org.apache.spark.ml.param.shared.
HasAggregationDepth
, org.apache.spark.ml.param.shared.
HasElasticNetParam
, org.apache.spark.ml.param.shared.
HasFitIntercept
, org.apache.spark.ml.param.shared.
HasMaxIter
, org.apache.spark.ml.param.shared.
HasRegParam
, org.apache.spark.ml.param.shared.
HasStandardization
, org.apache.spark.ml.param.shared.
HasThreshold
, org.apache.spark.ml.param.shared.
HasTol
, org.apache.spark.ml.param.shared.
HasWeightCol
, org.apache.spark.ml.classification.
ProbabilisticClassifierParams
)
org.apache.spark.ml.param.shared.
HasMaxIter
org.apache.spark.ml.regression.
FactorizationMachinesParams
(also extends org.apache.spark.ml.param.shared.
HasFitIntercept
, org.apache.spark.ml.param.shared.
HasRegParam
, org.apache.spark.ml.param.shared.
HasSeed
, org.apache.spark.ml.param.shared.
HasSolver
, org.apache.spark.ml.param.shared.
HasStepSize
, org.apache.spark.ml.param.shared.
HasTol
, org.apache.spark.ml.param.shared.
HasWeightCol
, org.apache.spark.ml.
PredictorParams
)
org.apache.spark.ml.classification.
FMClassifierParams
(also extends org.apache.spark.ml.classification.
ProbabilisticClassifierParams
)
org.apache.spark.ml.classification.
LinearSVCParams
(also extends org.apache.spark.ml.classification.
ClassifierParams
, org.apache.spark.ml.param.shared.
HasAggregationDepth
, org.apache.spark.ml.param.shared.
HasFitIntercept
, org.apache.spark.ml.param.shared.
HasMaxBlockSizeInMB
, org.apache.spark.ml.param.shared.
HasRegParam
, org.apache.spark.ml.param.shared.
HasStandardization
, org.apache.spark.ml.param.shared.
HasThreshold
, org.apache.spark.ml.param.shared.
HasTol
, org.apache.spark.ml.param.shared.
HasWeightCol
)
org.apache.spark.ml.classification.
LogisticRegressionParams
(also extends org.apache.spark.ml.param.shared.
HasAggregationDepth
, org.apache.spark.ml.param.shared.
HasElasticNetParam
, org.apache.spark.ml.param.shared.
HasFitIntercept
, org.apache.spark.ml.param.shared.
HasMaxBlockSizeInMB
, org.apache.spark.ml.param.shared.
HasRegParam
, org.apache.spark.ml.param.shared.
HasStandardization
, org.apache.spark.ml.param.shared.
HasThreshold
, org.apache.spark.ml.param.shared.
HasTol
, org.apache.spark.ml.param.shared.
HasWeightCol
, org.apache.spark.ml.classification.
ProbabilisticClassifierParams
)
org.apache.spark.ml.classification.
MultilayerPerceptronParams
(also extends org.apache.spark.ml.param.shared.
HasBlockSize
, org.apache.spark.ml.param.shared.
HasSeed
, org.apache.spark.ml.param.shared.
HasSolver
, org.apache.spark.ml.param.shared.
HasStepSize
, org.apache.spark.ml.param.shared.
HasTol
, org.apache.spark.ml.classification.
ProbabilisticClassifierParams
)
org.apache.spark.ml.param.shared.
HasPredictionCol
org.apache.spark.ml.
PredictorParams
(also extends org.apache.spark.ml.param.shared.
HasFeaturesCol
, org.apache.spark.ml.param.shared.
HasLabelCol
, org.apache.spark.ml.param.
Params
)
org.apache.spark.ml.classification.
ClassifierParams
(also extends org.apache.spark.ml.param.shared.
HasRawPredictionCol
)
org.apache.spark.ml.classification.
LinearSVCParams
(also extends org.apache.spark.ml.param.shared.
HasAggregationDepth
, org.apache.spark.ml.param.shared.
HasFitIntercept
, org.apache.spark.ml.param.shared.
HasMaxBlockSizeInMB
, org.apache.spark.ml.param.shared.
HasMaxIter
, org.apache.spark.ml.param.shared.
HasRegParam
, org.apache.spark.ml.param.shared.
HasStandardization
, org.apache.spark.ml.param.shared.
HasThreshold
, org.apache.spark.ml.param.shared.
HasTol
, org.apache.spark.ml.param.shared.
HasWeightCol
)
org.apache.spark.ml.classification.
OneVsRestParams
(also extends org.apache.spark.ml.classification.
ClassifierTypeTrait
, org.apache.spark.ml.param.shared.
HasWeightCol
)
org.apache.spark.ml.classification.
ProbabilisticClassifierParams
(also extends org.apache.spark.ml.param.shared.
HasProbabilityCol
, org.apache.spark.ml.param.shared.
HasThresholds
)
org.apache.spark.ml.classification.
FMClassifierParams
(also extends org.apache.spark.ml.regression.
FactorizationMachinesParams
)
org.apache.spark.ml.classification.
LogisticRegressionParams
(also extends org.apache.spark.ml.param.shared.
HasAggregationDepth
, org.apache.spark.ml.param.shared.
HasElasticNetParam
, org.apache.spark.ml.param.shared.
HasFitIntercept
, org.apache.spark.ml.param.shared.
HasMaxBlockSizeInMB
, org.apache.spark.ml.param.shared.
HasMaxIter
, org.apache.spark.ml.param.shared.
HasRegParam
, org.apache.spark.ml.param.shared.
HasStandardization
, org.apache.spark.ml.param.shared.
HasThreshold
, org.apache.spark.ml.param.shared.
HasTol
, org.apache.spark.ml.param.shared.
HasWeightCol
)
org.apache.spark.ml.classification.
MultilayerPerceptronParams
(also extends org.apache.spark.ml.param.shared.
HasBlockSize
, org.apache.spark.ml.param.shared.
HasMaxIter
, org.apache.spark.ml.param.shared.
HasSeed
, org.apache.spark.ml.param.shared.
HasSolver
, org.apache.spark.ml.param.shared.
HasStepSize
, org.apache.spark.ml.param.shared.
HasTol
)
org.apache.spark.ml.regression.
FactorizationMachinesParams
(also extends org.apache.spark.ml.param.shared.
HasFitIntercept
, org.apache.spark.ml.param.shared.
HasMaxIter
, org.apache.spark.ml.param.shared.
HasRegParam
, org.apache.spark.ml.param.shared.
HasSeed
, org.apache.spark.ml.param.shared.
HasSolver
, org.apache.spark.ml.param.shared.
HasStepSize
, org.apache.spark.ml.param.shared.
HasTol
, org.apache.spark.ml.param.shared.
HasWeightCol
)
org.apache.spark.ml.classification.
FMClassifierParams
(also extends org.apache.spark.ml.classification.
ProbabilisticClassifierParams
)
org.apache.spark.ml.classification.
NaiveBayesParams
(also extends org.apache.spark.ml.param.shared.
HasWeightCol
)
org.apache.spark.ml.param.shared.
HasProbabilityCol
org.apache.spark.ml.classification.
ProbabilisticClassifierParams
(also extends org.apache.spark.ml.classification.
ClassifierParams
, org.apache.spark.ml.param.shared.
HasThresholds
)
org.apache.spark.ml.classification.
FMClassifierParams
(also extends org.apache.spark.ml.regression.
FactorizationMachinesParams
)
org.apache.spark.ml.classification.
LogisticRegressionParams
(also extends org.apache.spark.ml.param.shared.
HasAggregationDepth
, org.apache.spark.ml.param.shared.
HasElasticNetParam
, org.apache.spark.ml.param.shared.
HasFitIntercept
, org.apache.spark.ml.param.shared.
HasMaxBlockSizeInMB
, org.apache.spark.ml.param.shared.
HasMaxIter
, org.apache.spark.ml.param.shared.
HasRegParam
, org.apache.spark.ml.param.shared.
HasStandardization
, org.apache.spark.ml.param.shared.
HasThreshold
, org.apache.spark.ml.param.shared.
HasTol
, org.apache.spark.ml.param.shared.
HasWeightCol
)
org.apache.spark.ml.classification.
MultilayerPerceptronParams
(also extends org.apache.spark.ml.param.shared.
HasBlockSize
, org.apache.spark.ml.param.shared.
HasMaxIter
, org.apache.spark.ml.param.shared.
HasSeed
, org.apache.spark.ml.param.shared.
HasSolver
, org.apache.spark.ml.param.shared.
HasStepSize
, org.apache.spark.ml.param.shared.
HasTol
)
org.apache.spark.ml.param.shared.
HasRawPredictionCol
org.apache.spark.ml.classification.
ClassifierParams
(also extends org.apache.spark.ml.
PredictorParams
)
org.apache.spark.ml.classification.
LinearSVCParams
(also extends org.apache.spark.ml.param.shared.
HasAggregationDepth
, org.apache.spark.ml.param.shared.
HasFitIntercept
, org.apache.spark.ml.param.shared.
HasMaxBlockSizeInMB
, org.apache.spark.ml.param.shared.
HasMaxIter
, org.apache.spark.ml.param.shared.
HasRegParam
, org.apache.spark.ml.param.shared.
HasStandardization
, org.apache.spark.ml.param.shared.
HasThreshold
, org.apache.spark.ml.param.shared.
HasTol
, org.apache.spark.ml.param.shared.
HasWeightCol
)
org.apache.spark.ml.classification.
OneVsRestParams
(also extends org.apache.spark.ml.classification.
ClassifierTypeTrait
, org.apache.spark.ml.param.shared.
HasWeightCol
)
org.apache.spark.ml.classification.
ProbabilisticClassifierParams
(also extends org.apache.spark.ml.param.shared.
HasProbabilityCol
, org.apache.spark.ml.param.shared.
HasThresholds
)
org.apache.spark.ml.classification.
FMClassifierParams
(also extends org.apache.spark.ml.regression.
FactorizationMachinesParams
)
org.apache.spark.ml.classification.
LogisticRegressionParams
(also extends org.apache.spark.ml.param.shared.
HasAggregationDepth
, org.apache.spark.ml.param.shared.
HasElasticNetParam
, org.apache.spark.ml.param.shared.
HasFitIntercept
, org.apache.spark.ml.param.shared.
HasMaxBlockSizeInMB
, org.apache.spark.ml.param.shared.
HasMaxIter
, org.apache.spark.ml.param.shared.
HasRegParam
, org.apache.spark.ml.param.shared.
HasStandardization
, org.apache.spark.ml.param.shared.
HasThreshold
, org.apache.spark.ml.param.shared.
HasTol
, org.apache.spark.ml.param.shared.
HasWeightCol
)
org.apache.spark.ml.classification.
MultilayerPerceptronParams
(also extends org.apache.spark.ml.param.shared.
HasBlockSize
, org.apache.spark.ml.param.shared.
HasMaxIter
, org.apache.spark.ml.param.shared.
HasSeed
, org.apache.spark.ml.param.shared.
HasSolver
, org.apache.spark.ml.param.shared.
HasStepSize
, org.apache.spark.ml.param.shared.
HasTol
)
org.apache.spark.ml.param.shared.
HasRegParam
org.apache.spark.ml.regression.
FactorizationMachinesParams
(also extends org.apache.spark.ml.param.shared.
HasFitIntercept
, org.apache.spark.ml.param.shared.
HasMaxIter
, org.apache.spark.ml.param.shared.
HasSeed
, org.apache.spark.ml.param.shared.
HasSolver
, org.apache.spark.ml.param.shared.
HasStepSize
, org.apache.spark.ml.param.shared.
HasTol
, org.apache.spark.ml.param.shared.
HasWeightCol
, org.apache.spark.ml.
PredictorParams
)
org.apache.spark.ml.classification.
FMClassifierParams
(also extends org.apache.spark.ml.classification.
ProbabilisticClassifierParams
)
org.apache.spark.ml.classification.
LinearSVCParams
(also extends org.apache.spark.ml.classification.
ClassifierParams
, org.apache.spark.ml.param.shared.
HasAggregationDepth
, org.apache.spark.ml.param.shared.
HasFitIntercept
, org.apache.spark.ml.param.shared.
HasMaxBlockSizeInMB
, org.apache.spark.ml.param.shared.
HasMaxIter
, org.apache.spark.ml.param.shared.
HasStandardization
, org.apache.spark.ml.param.shared.
HasThreshold
, org.apache.spark.ml.param.shared.
HasTol
, org.apache.spark.ml.param.shared.
HasWeightCol
)
org.apache.spark.ml.classification.
LogisticRegressionParams
(also extends org.apache.spark.ml.param.shared.
HasAggregationDepth
, org.apache.spark.ml.param.shared.
HasElasticNetParam
, org.apache.spark.ml.param.shared.
HasFitIntercept
, org.apache.spark.ml.param.shared.
HasMaxBlockSizeInMB
, org.apache.spark.ml.param.shared.
HasMaxIter
, org.apache.spark.ml.param.shared.
HasStandardization
, org.apache.spark.ml.param.shared.
HasThreshold
, org.apache.spark.ml.param.shared.
HasTol
, org.apache.spark.ml.param.shared.
HasWeightCol
, org.apache.spark.ml.classification.
ProbabilisticClassifierParams
)
org.apache.spark.ml.param.shared.
HasSeed
org.apache.spark.ml.regression.
FactorizationMachinesParams
(also extends org.apache.spark.ml.param.shared.
HasFitIntercept
, org.apache.spark.ml.param.shared.
HasMaxIter
, org.apache.spark.ml.param.shared.
HasRegParam
, org.apache.spark.ml.param.shared.
HasSolver
, org.apache.spark.ml.param.shared.
HasStepSize
, org.apache.spark.ml.param.shared.
HasTol
, org.apache.spark.ml.param.shared.
HasWeightCol
, org.apache.spark.ml.
PredictorParams
)
org.apache.spark.ml.classification.
FMClassifierParams
(also extends org.apache.spark.ml.classification.
ProbabilisticClassifierParams
)
org.apache.spark.ml.classification.
MultilayerPerceptronParams
(also extends org.apache.spark.ml.param.shared.
HasBlockSize
, org.apache.spark.ml.param.shared.
HasMaxIter
, org.apache.spark.ml.param.shared.
HasSolver
, org.apache.spark.ml.param.shared.
HasStepSize
, org.apache.spark.ml.param.shared.
HasTol
, org.apache.spark.ml.classification.
ProbabilisticClassifierParams
)
org.apache.spark.ml.param.shared.
HasSolver
org.apache.spark.ml.regression.
FactorizationMachinesParams
(also extends org.apache.spark.ml.param.shared.
HasFitIntercept
, org.apache.spark.ml.param.shared.
HasMaxIter
, org.apache.spark.ml.param.shared.
HasRegParam
, org.apache.spark.ml.param.shared.
HasSeed
, org.apache.spark.ml.param.shared.
HasStepSize
, org.apache.spark.ml.param.shared.
HasTol
, org.apache.spark.ml.param.shared.
HasWeightCol
, org.apache.spark.ml.
PredictorParams
)
org.apache.spark.ml.classification.
FMClassifierParams
(also extends org.apache.spark.ml.classification.
ProbabilisticClassifierParams
)
org.apache.spark.ml.classification.
MultilayerPerceptronParams
(also extends org.apache.spark.ml.param.shared.
HasBlockSize
, org.apache.spark.ml.param.shared.
HasMaxIter
, org.apache.spark.ml.param.shared.
HasSeed
, org.apache.spark.ml.param.shared.
HasStepSize
, org.apache.spark.ml.param.shared.
HasTol
, org.apache.spark.ml.classification.
ProbabilisticClassifierParams
)
org.apache.spark.ml.param.shared.
HasStandardization
org.apache.spark.ml.classification.
LinearSVCParams
(also extends org.apache.spark.ml.classification.
ClassifierParams
, org.apache.spark.ml.param.shared.
HasAggregationDepth
, org.apache.spark.ml.param.shared.
HasFitIntercept
, org.apache.spark.ml.param.shared.
HasMaxBlockSizeInMB
, org.apache.spark.ml.param.shared.
HasMaxIter
, org.apache.spark.ml.param.shared.
HasRegParam
, org.apache.spark.ml.param.shared.
HasThreshold
, org.apache.spark.ml.param.shared.
HasTol
, org.apache.spark.ml.param.shared.
HasWeightCol
)
org.apache.spark.ml.classification.
LogisticRegressionParams
(also extends org.apache.spark.ml.param.shared.
HasAggregationDepth
, org.apache.spark.ml.param.shared.
HasElasticNetParam
, org.apache.spark.ml.param.shared.
HasFitIntercept
, org.apache.spark.ml.param.shared.
HasMaxBlockSizeInMB
, org.apache.spark.ml.param.shared.
HasMaxIter
, org.apache.spark.ml.param.shared.
HasRegParam
, org.apache.spark.ml.param.shared.
HasThreshold
, org.apache.spark.ml.param.shared.
HasTol
, org.apache.spark.ml.param.shared.
HasWeightCol
, org.apache.spark.ml.classification.
ProbabilisticClassifierParams
)
org.apache.spark.ml.param.shared.
HasStepSize
org.apache.spark.ml.regression.
FactorizationMachinesParams
(also extends org.apache.spark.ml.param.shared.
HasFitIntercept
, org.apache.spark.ml.param.shared.
HasMaxIter
, org.apache.spark.ml.param.shared.
HasRegParam
, org.apache.spark.ml.param.shared.
HasSeed
, org.apache.spark.ml.param.shared.
HasSolver
, org.apache.spark.ml.param.shared.
HasTol
, org.apache.spark.ml.param.shared.
HasWeightCol
, org.apache.spark.ml.
PredictorParams
)
org.apache.spark.ml.classification.
FMClassifierParams
(also extends org.apache.spark.ml.classification.
ProbabilisticClassifierParams
)
org.apache.spark.ml.classification.
MultilayerPerceptronParams
(also extends org.apache.spark.ml.param.shared.
HasBlockSize
, org.apache.spark.ml.param.shared.
HasMaxIter
, org.apache.spark.ml.param.shared.
HasSeed
, org.apache.spark.ml.param.shared.
HasSolver
, org.apache.spark.ml.param.shared.
HasTol
, org.apache.spark.ml.classification.
ProbabilisticClassifierParams
)
org.apache.spark.ml.param.shared.
HasThreshold
org.apache.spark.ml.classification.
LinearSVCParams
(also extends org.apache.spark.ml.classification.
ClassifierParams
, org.apache.spark.ml.param.shared.
HasAggregationDepth
, org.apache.spark.ml.param.shared.
HasFitIntercept
, org.apache.spark.ml.param.shared.
HasMaxBlockSizeInMB
, org.apache.spark.ml.param.shared.
HasMaxIter
, org.apache.spark.ml.param.shared.
HasRegParam
, org.apache.spark.ml.param.shared.
HasStandardization
, org.apache.spark.ml.param.shared.
HasTol
, org.apache.spark.ml.param.shared.
HasWeightCol
)
org.apache.spark.ml.classification.
LogisticRegressionParams
(also extends org.apache.spark.ml.param.shared.
HasAggregationDepth
, org.apache.spark.ml.param.shared.
HasElasticNetParam
, org.apache.spark.ml.param.shared.
HasFitIntercept
, org.apache.spark.ml.param.shared.
HasMaxBlockSizeInMB
, org.apache.spark.ml.param.shared.
HasMaxIter
, org.apache.spark.ml.param.shared.
HasRegParam
, org.apache.spark.ml.param.shared.
HasStandardization
, org.apache.spark.ml.param.shared.
HasTol
, org.apache.spark.ml.param.shared.
HasWeightCol
, org.apache.spark.ml.classification.
ProbabilisticClassifierParams
)
org.apache.spark.ml.param.shared.
HasThresholds
org.apache.spark.ml.classification.
ProbabilisticClassifierParams
(also extends org.apache.spark.ml.classification.
ClassifierParams
, org.apache.spark.ml.param.shared.
HasProbabilityCol
)
org.apache.spark.ml.classification.
FMClassifierParams
(also extends org.apache.spark.ml.regression.
FactorizationMachinesParams
)
org.apache.spark.ml.classification.
LogisticRegressionParams
(also extends org.apache.spark.ml.param.shared.
HasAggregationDepth
, org.apache.spark.ml.param.shared.
HasElasticNetParam
, org.apache.spark.ml.param.shared.
HasFitIntercept
, org.apache.spark.ml.param.shared.
HasMaxBlockSizeInMB
, org.apache.spark.ml.param.shared.
HasMaxIter
, org.apache.spark.ml.param.shared.
HasRegParam
, org.apache.spark.ml.param.shared.
HasStandardization
, org.apache.spark.ml.param.shared.
HasThreshold
, org.apache.spark.ml.param.shared.
HasTol
, org.apache.spark.ml.param.shared.
HasWeightCol
)
org.apache.spark.ml.classification.
MultilayerPerceptronParams
(also extends org.apache.spark.ml.param.shared.
HasBlockSize
, org.apache.spark.ml.param.shared.
HasMaxIter
, org.apache.spark.ml.param.shared.
HasSeed
, org.apache.spark.ml.param.shared.
HasSolver
, org.apache.spark.ml.param.shared.
HasStepSize
, org.apache.spark.ml.param.shared.
HasTol
)
org.apache.spark.ml.param.shared.
HasTol
org.apache.spark.ml.regression.
FactorizationMachinesParams
(also extends org.apache.spark.ml.param.shared.
HasFitIntercept
, org.apache.spark.ml.param.shared.
HasMaxIter
, org.apache.spark.ml.param.shared.
HasRegParam
, org.apache.spark.ml.param.shared.
HasSeed
, org.apache.spark.ml.param.shared.
HasSolver
, org.apache.spark.ml.param.shared.
HasStepSize
, org.apache.spark.ml.param.shared.
HasWeightCol
, org.apache.spark.ml.
PredictorParams
)
org.apache.spark.ml.classification.
FMClassifierParams
(also extends org.apache.spark.ml.classification.
ProbabilisticClassifierParams
)
org.apache.spark.ml.classification.
LinearSVCParams
(also extends org.apache.spark.ml.classification.
ClassifierParams
, org.apache.spark.ml.param.shared.
HasAggregationDepth
, org.apache.spark.ml.param.shared.
HasFitIntercept
, org.apache.spark.ml.param.shared.
HasMaxBlockSizeInMB
, org.apache.spark.ml.param.shared.
HasMaxIter
, org.apache.spark.ml.param.shared.
HasRegParam
, org.apache.spark.ml.param.shared.
HasStandardization
, org.apache.spark.ml.param.shared.
HasThreshold
, org.apache.spark.ml.param.shared.
HasWeightCol
)
org.apache.spark.ml.classification.
LogisticRegressionParams
(also extends org.apache.spark.ml.param.shared.
HasAggregationDepth
, org.apache.spark.ml.param.shared.
HasElasticNetParam
, org.apache.spark.ml.param.shared.
HasFitIntercept
, org.apache.spark.ml.param.shared.
HasMaxBlockSizeInMB
, org.apache.spark.ml.param.shared.
HasMaxIter
, org.apache.spark.ml.param.shared.
HasRegParam
, org.apache.spark.ml.param.shared.
HasStandardization
, org.apache.spark.ml.param.shared.
HasThreshold
, org.apache.spark.ml.param.shared.
HasWeightCol
, org.apache.spark.ml.classification.
ProbabilisticClassifierParams
)
org.apache.spark.ml.classification.
MultilayerPerceptronParams
(also extends org.apache.spark.ml.param.shared.
HasBlockSize
, org.apache.spark.ml.param.shared.
HasMaxIter
, org.apache.spark.ml.param.shared.
HasSeed
, org.apache.spark.ml.param.shared.
HasSolver
, org.apache.spark.ml.param.shared.
HasStepSize
, org.apache.spark.ml.classification.
ProbabilisticClassifierParams
)
org.apache.spark.ml.param.shared.
HasWeightCol
org.apache.spark.ml.regression.
FactorizationMachinesParams
(also extends org.apache.spark.ml.param.shared.
HasFitIntercept
, org.apache.spark.ml.param.shared.
HasMaxIter
, org.apache.spark.ml.param.shared.
HasRegParam
, org.apache.spark.ml.param.shared.
HasSeed
, org.apache.spark.ml.param.shared.
HasSolver
, org.apache.spark.ml.param.shared.
HasStepSize
, org.apache.spark.ml.param.shared.
HasTol
, org.apache.spark.ml.
PredictorParams
)
org.apache.spark.ml.classification.
FMClassifierParams
(also extends org.apache.spark.ml.classification.
ProbabilisticClassifierParams
)
org.apache.spark.ml.classification.
LinearSVCParams
(also extends org.apache.spark.ml.classification.
ClassifierParams
, org.apache.spark.ml.param.shared.
HasAggregationDepth
, org.apache.spark.ml.param.shared.
HasFitIntercept
, org.apache.spark.ml.param.shared.
HasMaxBlockSizeInMB
, org.apache.spark.ml.param.shared.
HasMaxIter
, org.apache.spark.ml.param.shared.
HasRegParam
, org.apache.spark.ml.param.shared.
HasStandardization
, org.apache.spark.ml.param.shared.
HasThreshold
, org.apache.spark.ml.param.shared.
HasTol
)
org.apache.spark.ml.classification.
LogisticRegressionParams
(also extends org.apache.spark.ml.param.shared.
HasAggregationDepth
, org.apache.spark.ml.param.shared.
HasElasticNetParam
, org.apache.spark.ml.param.shared.
HasFitIntercept
, org.apache.spark.ml.param.shared.
HasMaxBlockSizeInMB
, org.apache.spark.ml.param.shared.
HasMaxIter
, org.apache.spark.ml.param.shared.
HasRegParam
, org.apache.spark.ml.param.shared.
HasStandardization
, org.apache.spark.ml.param.shared.
HasThreshold
, org.apache.spark.ml.param.shared.
HasTol
, org.apache.spark.ml.classification.
ProbabilisticClassifierParams
)
org.apache.spark.ml.classification.
NaiveBayesParams
(also extends org.apache.spark.ml.
PredictorParams
)
org.apache.spark.ml.classification.
OneVsRestParams
(also extends org.apache.spark.ml.classification.
ClassifierParams
, org.apache.spark.ml.classification.
ClassifierTypeTrait
)
org.apache.spark.ml.
PredictorParams
(also extends org.apache.spark.ml.param.shared.
HasFeaturesCol
, org.apache.spark.ml.param.shared.
HasLabelCol
, org.apache.spark.ml.param.shared.
HasPredictionCol
)
org.apache.spark.ml.classification.
ClassifierParams
(also extends org.apache.spark.ml.param.shared.
HasRawPredictionCol
)
org.apache.spark.ml.classification.
LinearSVCParams
(also extends org.apache.spark.ml.param.shared.
HasAggregationDepth
, org.apache.spark.ml.param.shared.
HasFitIntercept
, org.apache.spark.ml.param.shared.
HasMaxBlockSizeInMB
, org.apache.spark.ml.param.shared.
HasMaxIter
, org.apache.spark.ml.param.shared.
HasRegParam
, org.apache.spark.ml.param.shared.
HasStandardization
, org.apache.spark.ml.param.shared.
HasThreshold
, org.apache.spark.ml.param.shared.
HasTol
, org.apache.spark.ml.param.shared.
HasWeightCol
)
org.apache.spark.ml.classification.
OneVsRestParams
(also extends org.apache.spark.ml.classification.
ClassifierTypeTrait
, org.apache.spark.ml.param.shared.
HasWeightCol
)
org.apache.spark.ml.classification.
ProbabilisticClassifierParams
(also extends org.apache.spark.ml.param.shared.
HasProbabilityCol
, org.apache.spark.ml.param.shared.
HasThresholds
)
org.apache.spark.ml.classification.
FMClassifierParams
(also extends org.apache.spark.ml.regression.
FactorizationMachinesParams
)
org.apache.spark.ml.classification.
LogisticRegressionParams
(also extends org.apache.spark.ml.param.shared.
HasAggregationDepth
, org.apache.spark.ml.param.shared.
HasElasticNetParam
, org.apache.spark.ml.param.shared.
HasFitIntercept
, org.apache.spark.ml.param.shared.
HasMaxBlockSizeInMB
, org.apache.spark.ml.param.shared.
HasMaxIter
, org.apache.spark.ml.param.shared.
HasRegParam
, org.apache.spark.ml.param.shared.
HasStandardization
, org.apache.spark.ml.param.shared.
HasThreshold
, org.apache.spark.ml.param.shared.
HasTol
, org.apache.spark.ml.param.shared.
HasWeightCol
)
org.apache.spark.ml.classification.
MultilayerPerceptronParams
(also extends org.apache.spark.ml.param.shared.
HasBlockSize
, org.apache.spark.ml.param.shared.
HasMaxIter
, org.apache.spark.ml.param.shared.
HasSeed
, org.apache.spark.ml.param.shared.
HasSolver
, org.apache.spark.ml.param.shared.
HasStepSize
, org.apache.spark.ml.param.shared.
HasTol
)
org.apache.spark.ml.regression.
FactorizationMachinesParams
(also extends org.apache.spark.ml.param.shared.
HasFitIntercept
, org.apache.spark.ml.param.shared.
HasMaxIter
, org.apache.spark.ml.param.shared.
HasRegParam
, org.apache.spark.ml.param.shared.
HasSeed
, org.apache.spark.ml.param.shared.
HasSolver
, org.apache.spark.ml.param.shared.
HasStepSize
, org.apache.spark.ml.param.shared.
HasTol
, org.apache.spark.ml.param.shared.
HasWeightCol
)
org.apache.spark.ml.classification.
FMClassifierParams
(also extends org.apache.spark.ml.classification.
ProbabilisticClassifierParams
)
org.apache.spark.ml.classification.
NaiveBayesParams
(also extends org.apache.spark.ml.param.shared.
HasWeightCol
)
java.io.Serializable
scala.Serializable
org.apache.spark.ml.classification.
ClassificationSummary
org.apache.spark.ml.classification.
BinaryClassificationSummary
org.apache.spark.ml.classification.
BinaryLogisticRegressionSummary
(also extends org.apache.spark.ml.classification.
LogisticRegressionSummary
)
org.apache.spark.ml.classification.
BinaryLogisticRegressionTrainingSummary
(also extends org.apache.spark.ml.classification.
LogisticRegressionTrainingSummary
)
org.apache.spark.ml.classification.
BinaryRandomForestClassificationSummary
org.apache.spark.ml.classification.
BinaryRandomForestClassificationTrainingSummary
(also extends org.apache.spark.ml.classification.
RandomForestClassificationTrainingSummary
)
org.apache.spark.ml.classification.
FMClassificationSummary
org.apache.spark.ml.classification.
FMClassificationTrainingSummary
(also extends org.apache.spark.ml.classification.
TrainingSummary
)
org.apache.spark.ml.classification.
LinearSVCSummary
org.apache.spark.ml.classification.
LinearSVCTrainingSummary
(also extends org.apache.spark.ml.classification.
TrainingSummary
)
org.apache.spark.ml.classification.
LogisticRegressionSummary
org.apache.spark.ml.classification.
BinaryLogisticRegressionSummary
(also extends org.apache.spark.ml.classification.
BinaryClassificationSummary
)
org.apache.spark.ml.classification.
BinaryLogisticRegressionTrainingSummary
(also extends org.apache.spark.ml.classification.
LogisticRegressionTrainingSummary
)
org.apache.spark.ml.classification.
LogisticRegressionTrainingSummary
(also extends org.apache.spark.ml.classification.
TrainingSummary
)
org.apache.spark.ml.classification.
BinaryLogisticRegressionTrainingSummary
(also extends org.apache.spark.ml.classification.
BinaryLogisticRegressionSummary
)
org.apache.spark.ml.classification.
MultilayerPerceptronClassificationSummary
org.apache.spark.ml.classification.
MultilayerPerceptronClassificationTrainingSummary
(also extends org.apache.spark.ml.classification.
TrainingSummary
)
org.apache.spark.ml.classification.
RandomForestClassificationSummary
org.apache.spark.ml.classification.
RandomForestClassificationTrainingSummary
(also extends org.apache.spark.ml.classification.
TrainingSummary
)
org.apache.spark.ml.classification.
BinaryRandomForestClassificationTrainingSummary
(also extends org.apache.spark.ml.classification.
BinaryRandomForestClassificationSummary
)
org.apache.spark.ml.param.
Params
(also extends org.apache.spark.ml.util.
Identifiable
)
org.apache.spark.ml.param.shared.
HasAggregationDepth
org.apache.spark.ml.classification.
LinearSVCParams
(also extends org.apache.spark.ml.classification.
ClassifierParams
, org.apache.spark.ml.param.shared.
HasFitIntercept
, org.apache.spark.ml.param.shared.
HasMaxBlockSizeInMB
, org.apache.spark.ml.param.shared.
HasMaxIter
, org.apache.spark.ml.param.shared.
HasRegParam
, org.apache.spark.ml.param.shared.
HasStandardization
, org.apache.spark.ml.param.shared.
HasThreshold
, org.apache.spark.ml.param.shared.
HasTol
, org.apache.spark.ml.param.shared.
HasWeightCol
)
org.apache.spark.ml.classification.
LogisticRegressionParams
(also extends org.apache.spark.ml.param.shared.
HasElasticNetParam
, org.apache.spark.ml.param.shared.
HasFitIntercept
, org.apache.spark.ml.param.shared.
HasMaxBlockSizeInMB
, org.apache.spark.ml.param.shared.
HasMaxIter
, org.apache.spark.ml.param.shared.
HasRegParam
, org.apache.spark.ml.param.shared.
HasStandardization
, org.apache.spark.ml.param.shared.
HasThreshold
, org.apache.spark.ml.param.shared.
HasTol
, org.apache.spark.ml.param.shared.
HasWeightCol
, org.apache.spark.ml.classification.
ProbabilisticClassifierParams
)
org.apache.spark.ml.param.shared.
HasBlockSize
org.apache.spark.ml.classification.
MultilayerPerceptronParams
(also extends org.apache.spark.ml.param.shared.
HasMaxIter
, org.apache.spark.ml.param.shared.
HasSeed
, org.apache.spark.ml.param.shared.
HasSolver
, org.apache.spark.ml.param.shared.
HasStepSize
, org.apache.spark.ml.param.shared.
HasTol
, org.apache.spark.ml.classification.
ProbabilisticClassifierParams
)
org.apache.spark.ml.param.shared.
HasElasticNetParam
org.apache.spark.ml.classification.
LogisticRegressionParams
(also extends org.apache.spark.ml.param.shared.
HasAggregationDepth
, org.apache.spark.ml.param.shared.
HasFitIntercept
, org.apache.spark.ml.param.shared.
HasMaxBlockSizeInMB
, org.apache.spark.ml.param.shared.
HasMaxIter
, org.apache.spark.ml.param.shared.
HasRegParam
, org.apache.spark.ml.param.shared.
HasStandardization
, org.apache.spark.ml.param.shared.
HasThreshold
, org.apache.spark.ml.param.shared.
HasTol
, org.apache.spark.ml.param.shared.
HasWeightCol
, org.apache.spark.ml.classification.
ProbabilisticClassifierParams
)
org.apache.spark.ml.param.shared.
HasFeaturesCol
org.apache.spark.ml.
PredictorParams
(also extends org.apache.spark.ml.param.shared.
HasLabelCol
, org.apache.spark.ml.param.shared.
HasPredictionCol
, org.apache.spark.ml.param.
Params
)
org.apache.spark.ml.classification.
ClassifierParams
(also extends org.apache.spark.ml.param.shared.
HasRawPredictionCol
)
org.apache.spark.ml.classification.
LinearSVCParams
(also extends org.apache.spark.ml.param.shared.
HasAggregationDepth
, org.apache.spark.ml.param.shared.
HasFitIntercept
, org.apache.spark.ml.param.shared.
HasMaxBlockSizeInMB
, org.apache.spark.ml.param.shared.
HasMaxIter
, org.apache.spark.ml.param.shared.
HasRegParam
, org.apache.spark.ml.param.shared.
HasStandardization
, org.apache.spark.ml.param.shared.
HasThreshold
, org.apache.spark.ml.param.shared.
HasTol
, org.apache.spark.ml.param.shared.
HasWeightCol
)
org.apache.spark.ml.classification.
OneVsRestParams
(also extends org.apache.spark.ml.classification.
ClassifierTypeTrait
, org.apache.spark.ml.param.shared.
HasWeightCol
)
org.apache.spark.ml.classification.
ProbabilisticClassifierParams
(also extends org.apache.spark.ml.param.shared.
HasProbabilityCol
, org.apache.spark.ml.param.shared.
HasThresholds
)
org.apache.spark.ml.classification.
FMClassifierParams
(also extends org.apache.spark.ml.regression.
FactorizationMachinesParams
)
org.apache.spark.ml.classification.
LogisticRegressionParams
(also extends org.apache.spark.ml.param.shared.
HasAggregationDepth
, org.apache.spark.ml.param.shared.
HasElasticNetParam
, org.apache.spark.ml.param.shared.
HasFitIntercept
, org.apache.spark.ml.param.shared.
HasMaxBlockSizeInMB
, org.apache.spark.ml.param.shared.
HasMaxIter
, org.apache.spark.ml.param.shared.
HasRegParam
, org.apache.spark.ml.param.shared.
HasStandardization
, org.apache.spark.ml.param.shared.
HasThreshold
, org.apache.spark.ml.param.shared.
HasTol
, org.apache.spark.ml.param.shared.
HasWeightCol
)
org.apache.spark.ml.classification.
MultilayerPerceptronParams
(also extends org.apache.spark.ml.param.shared.
HasBlockSize
, org.apache.spark.ml.param.shared.
HasMaxIter
, org.apache.spark.ml.param.shared.
HasSeed
, org.apache.spark.ml.param.shared.
HasSolver
, org.apache.spark.ml.param.shared.
HasStepSize
, org.apache.spark.ml.param.shared.
HasTol
)
org.apache.spark.ml.regression.
FactorizationMachinesParams
(also extends org.apache.spark.ml.param.shared.
HasFitIntercept
, org.apache.spark.ml.param.shared.
HasMaxIter
, org.apache.spark.ml.param.shared.
HasRegParam
, org.apache.spark.ml.param.shared.
HasSeed
, org.apache.spark.ml.param.shared.
HasSolver
, org.apache.spark.ml.param.shared.
HasStepSize
, org.apache.spark.ml.param.shared.
HasTol
, org.apache.spark.ml.param.shared.
HasWeightCol
)
org.apache.spark.ml.classification.
FMClassifierParams
(also extends org.apache.spark.ml.classification.
ProbabilisticClassifierParams
)
org.apache.spark.ml.classification.
NaiveBayesParams
(also extends org.apache.spark.ml.param.shared.
HasWeightCol
)
org.apache.spark.ml.param.shared.
HasFitIntercept
org.apache.spark.ml.regression.
FactorizationMachinesParams
(also extends org.apache.spark.ml.param.shared.
HasMaxIter
, org.apache.spark.ml.param.shared.
HasRegParam
, org.apache.spark.ml.param.shared.
HasSeed
, org.apache.spark.ml.param.shared.
HasSolver
, org.apache.spark.ml.param.shared.
HasStepSize
, org.apache.spark.ml.param.shared.
HasTol
, org.apache.spark.ml.param.shared.
HasWeightCol
, org.apache.spark.ml.
PredictorParams
)
org.apache.spark.ml.classification.
FMClassifierParams
(also extends org.apache.spark.ml.classification.
ProbabilisticClassifierParams
)
org.apache.spark.ml.classification.
LinearSVCParams
(also extends org.apache.spark.ml.classification.
ClassifierParams
, org.apache.spark.ml.param.shared.
HasAggregationDepth
, org.apache.spark.ml.param.shared.
HasMaxBlockSizeInMB
, org.apache.spark.ml.param.shared.
HasMaxIter
, org.apache.spark.ml.param.shared.
HasRegParam
, org.apache.spark.ml.param.shared.
HasStandardization
, org.apache.spark.ml.param.shared.
HasThreshold
, org.apache.spark.ml.param.shared.
HasTol
, org.apache.spark.ml.param.shared.
HasWeightCol
)
org.apache.spark.ml.classification.
LogisticRegressionParams
(also extends org.apache.spark.ml.param.shared.
HasAggregationDepth
, org.apache.spark.ml.param.shared.
HasElasticNetParam
, org.apache.spark.ml.param.shared.
HasMaxBlockSizeInMB
, org.apache.spark.ml.param.shared.
HasMaxIter
, org.apache.spark.ml.param.shared.
HasRegParam
, org.apache.spark.ml.param.shared.
HasStandardization
, org.apache.spark.ml.param.shared.
HasThreshold
, org.apache.spark.ml.param.shared.
HasTol
, org.apache.spark.ml.param.shared.
HasWeightCol
, org.apache.spark.ml.classification.
ProbabilisticClassifierParams
)
org.apache.spark.ml.param.shared.
HasLabelCol
org.apache.spark.ml.
PredictorParams
(also extends org.apache.spark.ml.param.shared.
HasFeaturesCol
, org.apache.spark.ml.param.shared.
HasPredictionCol
, org.apache.spark.ml.param.
Params
)
org.apache.spark.ml.classification.
ClassifierParams
(also extends org.apache.spark.ml.param.shared.
HasRawPredictionCol
)
org.apache.spark.ml.classification.
LinearSVCParams
(also extends org.apache.spark.ml.param.shared.
HasAggregationDepth
, org.apache.spark.ml.param.shared.
HasFitIntercept
, org.apache.spark.ml.param.shared.
HasMaxBlockSizeInMB
, org.apache.spark.ml.param.shared.
HasMaxIter
, org.apache.spark.ml.param.shared.
HasRegParam
, org.apache.spark.ml.param.shared.
HasStandardization
, org.apache.spark.ml.param.shared.
HasThreshold
, org.apache.spark.ml.param.shared.
HasTol
, org.apache.spark.ml.param.shared.
HasWeightCol
)
org.apache.spark.ml.classification.
OneVsRestParams
(also extends org.apache.spark.ml.classification.
ClassifierTypeTrait
, org.apache.spark.ml.param.shared.
HasWeightCol
)
org.apache.spark.ml.classification.
ProbabilisticClassifierParams
(also extends org.apache.spark.ml.param.shared.
HasProbabilityCol
, org.apache.spark.ml.param.shared.
HasThresholds
)
org.apache.spark.ml.classification.
FMClassifierParams
(also extends org.apache.spark.ml.regression.
FactorizationMachinesParams
)
org.apache.spark.ml.classification.
LogisticRegressionParams
(also extends org.apache.spark.ml.param.shared.
HasAggregationDepth
, org.apache.spark.ml.param.shared.
HasElasticNetParam
, org.apache.spark.ml.param.shared.
HasFitIntercept
, org.apache.spark.ml.param.shared.
HasMaxBlockSizeInMB
, org.apache.spark.ml.param.shared.
HasMaxIter
, org.apache.spark.ml.param.shared.
HasRegParam
, org.apache.spark.ml.param.shared.
HasStandardization
, org.apache.spark.ml.param.shared.
HasThreshold
, org.apache.spark.ml.param.shared.
HasTol
, org.apache.spark.ml.param.shared.
HasWeightCol
)
org.apache.spark.ml.classification.
MultilayerPerceptronParams
(also extends org.apache.spark.ml.param.shared.
HasBlockSize
, org.apache.spark.ml.param.shared.
HasMaxIter
, org.apache.spark.ml.param.shared.
HasSeed
, org.apache.spark.ml.param.shared.
HasSolver
, org.apache.spark.ml.param.shared.
HasStepSize
, org.apache.spark.ml.param.shared.
HasTol
)
org.apache.spark.ml.regression.
FactorizationMachinesParams
(also extends org.apache.spark.ml.param.shared.
HasFitIntercept
, org.apache.spark.ml.param.shared.
HasMaxIter
, org.apache.spark.ml.param.shared.
HasRegParam
, org.apache.spark.ml.param.shared.
HasSeed
, org.apache.spark.ml.param.shared.
HasSolver
, org.apache.spark.ml.param.shared.
HasStepSize
, org.apache.spark.ml.param.shared.
HasTol
, org.apache.spark.ml.param.shared.
HasWeightCol
)
org.apache.spark.ml.classification.
FMClassifierParams
(also extends org.apache.spark.ml.classification.
ProbabilisticClassifierParams
)
org.apache.spark.ml.classification.
NaiveBayesParams
(also extends org.apache.spark.ml.param.shared.
HasWeightCol
)
org.apache.spark.ml.param.shared.
HasMaxBlockSizeInMB
org.apache.spark.ml.classification.
LinearSVCParams
(also extends org.apache.spark.ml.classification.
ClassifierParams
, org.apache.spark.ml.param.shared.
HasAggregationDepth
, org.apache.spark.ml.param.shared.
HasFitIntercept
, org.apache.spark.ml.param.shared.
HasMaxIter
, org.apache.spark.ml.param.shared.
HasRegParam
, org.apache.spark.ml.param.shared.
HasStandardization
, org.apache.spark.ml.param.shared.
HasThreshold
, org.apache.spark.ml.param.shared.
HasTol
, org.apache.spark.ml.param.shared.
HasWeightCol
)
org.apache.spark.ml.classification.
LogisticRegressionParams
(also extends org.apache.spark.ml.param.shared.
HasAggregationDepth
, org.apache.spark.ml.param.shared.
HasElasticNetParam
, org.apache.spark.ml.param.shared.
HasFitIntercept
, org.apache.spark.ml.param.shared.
HasMaxIter
, org.apache.spark.ml.param.shared.
HasRegParam
, org.apache.spark.ml.param.shared.
HasStandardization
, org.apache.spark.ml.param.shared.
HasThreshold
, org.apache.spark.ml.param.shared.
HasTol
, org.apache.spark.ml.param.shared.
HasWeightCol
, org.apache.spark.ml.classification.
ProbabilisticClassifierParams
)
org.apache.spark.ml.param.shared.
HasMaxIter
org.apache.spark.ml.regression.
FactorizationMachinesParams
(also extends org.apache.spark.ml.param.shared.
HasFitIntercept
, org.apache.spark.ml.param.shared.
HasRegParam
, org.apache.spark.ml.param.shared.
HasSeed
, org.apache.spark.ml.param.shared.
HasSolver
, org.apache.spark.ml.param.shared.
HasStepSize
, org.apache.spark.ml.param.shared.
HasTol
, org.apache.spark.ml.param.shared.
HasWeightCol
, org.apache.spark.ml.
PredictorParams
)
org.apache.spark.ml.classification.
FMClassifierParams
(also extends org.apache.spark.ml.classification.
ProbabilisticClassifierParams
)
org.apache.spark.ml.classification.
LinearSVCParams
(also extends org.apache.spark.ml.classification.
ClassifierParams
, org.apache.spark.ml.param.shared.
HasAggregationDepth
, org.apache.spark.ml.param.shared.
HasFitIntercept
, org.apache.spark.ml.param.shared.
HasMaxBlockSizeInMB
, org.apache.spark.ml.param.shared.
HasRegParam
, org.apache.spark.ml.param.shared.
HasStandardization
, org.apache.spark.ml.param.shared.
HasThreshold
, org.apache.spark.ml.param.shared.
HasTol
, org.apache.spark.ml.param.shared.
HasWeightCol
)
org.apache.spark.ml.classification.
LogisticRegressionParams
(also extends org.apache.spark.ml.param.shared.
HasAggregationDepth
, org.apache.spark.ml.param.shared.
HasElasticNetParam
, org.apache.spark.ml.param.shared.
HasFitIntercept
, org.apache.spark.ml.param.shared.
HasMaxBlockSizeInMB
, org.apache.spark.ml.param.shared.
HasRegParam
, org.apache.spark.ml.param.shared.
HasStandardization
, org.apache.spark.ml.param.shared.
HasThreshold
, org.apache.spark.ml.param.shared.
HasTol
, org.apache.spark.ml.param.shared.
HasWeightCol
, org.apache.spark.ml.classification.
ProbabilisticClassifierParams
)
org.apache.spark.ml.classification.
MultilayerPerceptronParams
(also extends org.apache.spark.ml.param.shared.
HasBlockSize
, org.apache.spark.ml.param.shared.
HasSeed
, org.apache.spark.ml.param.shared.
HasSolver
, org.apache.spark.ml.param.shared.
HasStepSize
, org.apache.spark.ml.param.shared.
HasTol
, org.apache.spark.ml.classification.
ProbabilisticClassifierParams
)
org.apache.spark.ml.param.shared.
HasPredictionCol
org.apache.spark.ml.
PredictorParams
(also extends org.apache.spark.ml.param.shared.
HasFeaturesCol
, org.apache.spark.ml.param.shared.
HasLabelCol
, org.apache.spark.ml.param.
Params
)
org.apache.spark.ml.classification.
ClassifierParams
(also extends org.apache.spark.ml.param.shared.
HasRawPredictionCol
)
org.apache.spark.ml.classification.
LinearSVCParams
(also extends org.apache.spark.ml.param.shared.
HasAggregationDepth
, org.apache.spark.ml.param.shared.
HasFitIntercept
, org.apache.spark.ml.param.shared.
HasMaxBlockSizeInMB
, org.apache.spark.ml.param.shared.
HasMaxIter
, org.apache.spark.ml.param.shared.
HasRegParam
, org.apache.spark.ml.param.shared.
HasStandardization
, org.apache.spark.ml.param.shared.
HasThreshold
, org.apache.spark.ml.param.shared.
HasTol
, org.apache.spark.ml.param.shared.
HasWeightCol
)
org.apache.spark.ml.classification.
OneVsRestParams
(also extends org.apache.spark.ml.classification.
ClassifierTypeTrait
, org.apache.spark.ml.param.shared.
HasWeightCol
)
org.apache.spark.ml.classification.
ProbabilisticClassifierParams
(also extends org.apache.spark.ml.param.shared.
HasProbabilityCol
, org.apache.spark.ml.param.shared.
HasThresholds
)
org.apache.spark.ml.classification.
FMClassifierParams
(also extends org.apache.spark.ml.regression.
FactorizationMachinesParams
)
org.apache.spark.ml.classification.
LogisticRegressionParams
(also extends org.apache.spark.ml.param.shared.
HasAggregationDepth
, org.apache.spark.ml.param.shared.
HasElasticNetParam
, org.apache.spark.ml.param.shared.
HasFitIntercept
, org.apache.spark.ml.param.shared.
HasMaxBlockSizeInMB
, org.apache.spark.ml.param.shared.
HasMaxIter
, org.apache.spark.ml.param.shared.
HasRegParam
, org.apache.spark.ml.param.shared.
HasStandardization
, org.apache.spark.ml.param.shared.
HasThreshold
, org.apache.spark.ml.param.shared.
HasTol
, org.apache.spark.ml.param.shared.
HasWeightCol
)
org.apache.spark.ml.classification.
MultilayerPerceptronParams
(also extends org.apache.spark.ml.param.shared.
HasBlockSize
, org.apache.spark.ml.param.shared.
HasMaxIter
, org.apache.spark.ml.param.shared.
HasSeed
, org.apache.spark.ml.param.shared.
HasSolver
, org.apache.spark.ml.param.shared.
HasStepSize
, org.apache.spark.ml.param.shared.
HasTol
)
org.apache.spark.ml.regression.
FactorizationMachinesParams
(also extends org.apache.spark.ml.param.shared.
HasFitIntercept
, org.apache.spark.ml.param.shared.
HasMaxIter
, org.apache.spark.ml.param.shared.
HasRegParam
, org.apache.spark.ml.param.shared.
HasSeed
, org.apache.spark.ml.param.shared.
HasSolver
, org.apache.spark.ml.param.shared.
HasStepSize
, org.apache.spark.ml.param.shared.
HasTol
, org.apache.spark.ml.param.shared.
HasWeightCol
)
org.apache.spark.ml.classification.
FMClassifierParams
(also extends org.apache.spark.ml.classification.
ProbabilisticClassifierParams
)
org.apache.spark.ml.classification.
NaiveBayesParams
(also extends org.apache.spark.ml.param.shared.
HasWeightCol
)
org.apache.spark.ml.param.shared.
HasProbabilityCol
org.apache.spark.ml.classification.
ProbabilisticClassifierParams
(also extends org.apache.spark.ml.classification.
ClassifierParams
, org.apache.spark.ml.param.shared.
HasThresholds
)
org.apache.spark.ml.classification.
FMClassifierParams
(also extends org.apache.spark.ml.regression.
FactorizationMachinesParams
)
org.apache.spark.ml.classification.
LogisticRegressionParams
(also extends org.apache.spark.ml.param.shared.
HasAggregationDepth
, org.apache.spark.ml.param.shared.
HasElasticNetParam
, org.apache.spark.ml.param.shared.
HasFitIntercept
, org.apache.spark.ml.param.shared.
HasMaxBlockSizeInMB
, org.apache.spark.ml.param.shared.
HasMaxIter
, org.apache.spark.ml.param.shared.
HasRegParam
, org.apache.spark.ml.param.shared.
HasStandardization
, org.apache.spark.ml.param.shared.
HasThreshold
, org.apache.spark.ml.param.shared.
HasTol
, org.apache.spark.ml.param.shared.
HasWeightCol
)
org.apache.spark.ml.classification.
MultilayerPerceptronParams
(also extends org.apache.spark.ml.param.shared.
HasBlockSize
, org.apache.spark.ml.param.shared.
HasMaxIter
, org.apache.spark.ml.param.shared.
HasSeed
, org.apache.spark.ml.param.shared.
HasSolver
, org.apache.spark.ml.param.shared.
HasStepSize
, org.apache.spark.ml.param.shared.
HasTol
)
org.apache.spark.ml.param.shared.
HasRawPredictionCol
org.apache.spark.ml.classification.
ClassifierParams
(also extends org.apache.spark.ml.
PredictorParams
)
org.apache.spark.ml.classification.
LinearSVCParams
(also extends org.apache.spark.ml.param.shared.
HasAggregationDepth
, org.apache.spark.ml.param.shared.
HasFitIntercept
, org.apache.spark.ml.param.shared.
HasMaxBlockSizeInMB
, org.apache.spark.ml.param.shared.
HasMaxIter
, org.apache.spark.ml.param.shared.
HasRegParam
, org.apache.spark.ml.param.shared.
HasStandardization
, org.apache.spark.ml.param.shared.
HasThreshold
, org.apache.spark.ml.param.shared.
HasTol
, org.apache.spark.ml.param.shared.
HasWeightCol
)
org.apache.spark.ml.classification.
OneVsRestParams
(also extends org.apache.spark.ml.classification.
ClassifierTypeTrait
, org.apache.spark.ml.param.shared.
HasWeightCol
)
org.apache.spark.ml.classification.
ProbabilisticClassifierParams
(also extends org.apache.spark.ml.param.shared.
HasProbabilityCol
, org.apache.spark.ml.param.shared.
HasThresholds
)
org.apache.spark.ml.classification.
FMClassifierParams
(also extends org.apache.spark.ml.regression.
FactorizationMachinesParams
)
org.apache.spark.ml.classification.
LogisticRegressionParams
(also extends org.apache.spark.ml.param.shared.
HasAggregationDepth
, org.apache.spark.ml.param.shared.
HasElasticNetParam
, org.apache.spark.ml.param.shared.
HasFitIntercept
, org.apache.spark.ml.param.shared.
HasMaxBlockSizeInMB
, org.apache.spark.ml.param.shared.
HasMaxIter
, org.apache.spark.ml.param.shared.
HasRegParam
, org.apache.spark.ml.param.shared.
HasStandardization
, org.apache.spark.ml.param.shared.
HasThreshold
, org.apache.spark.ml.param.shared.
HasTol
, org.apache.spark.ml.param.shared.
HasWeightCol
)
org.apache.spark.ml.classification.
MultilayerPerceptronParams
(also extends org.apache.spark.ml.param.shared.
HasBlockSize
, org.apache.spark.ml.param.shared.
HasMaxIter
, org.apache.spark.ml.param.shared.
HasSeed
, org.apache.spark.ml.param.shared.
HasSolver
, org.apache.spark.ml.param.shared.
HasStepSize
, org.apache.spark.ml.param.shared.
HasTol
)
org.apache.spark.ml.param.shared.
HasRegParam
org.apache.spark.ml.regression.
FactorizationMachinesParams
(also extends org.apache.spark.ml.param.shared.
HasFitIntercept
, org.apache.spark.ml.param.shared.
HasMaxIter
, org.apache.spark.ml.param.shared.
HasSeed
, org.apache.spark.ml.param.shared.
HasSolver
, org.apache.spark.ml.param.shared.
HasStepSize
, org.apache.spark.ml.param.shared.
HasTol
, org.apache.spark.ml.param.shared.
HasWeightCol
, org.apache.spark.ml.
PredictorParams
)
org.apache.spark.ml.classification.
FMClassifierParams
(also extends org.apache.spark.ml.classification.
ProbabilisticClassifierParams
)
org.apache.spark.ml.classification.
LinearSVCParams
(also extends org.apache.spark.ml.classification.
ClassifierParams
, org.apache.spark.ml.param.shared.
HasAggregationDepth
, org.apache.spark.ml.param.shared.
HasFitIntercept
, org.apache.spark.ml.param.shared.
HasMaxBlockSizeInMB
, org.apache.spark.ml.param.shared.
HasMaxIter
, org.apache.spark.ml.param.shared.
HasStandardization
, org.apache.spark.ml.param.shared.
HasThreshold
, org.apache.spark.ml.param.shared.
HasTol
, org.apache.spark.ml.param.shared.
HasWeightCol
)
org.apache.spark.ml.classification.
LogisticRegressionParams
(also extends org.apache.spark.ml.param.shared.
HasAggregationDepth
, org.apache.spark.ml.param.shared.
HasElasticNetParam
, org.apache.spark.ml.param.shared.
HasFitIntercept
, org.apache.spark.ml.param.shared.
HasMaxBlockSizeInMB
, org.apache.spark.ml.param.shared.
HasMaxIter
, org.apache.spark.ml.param.shared.
HasStandardization
, org.apache.spark.ml.param.shared.
HasThreshold
, org.apache.spark.ml.param.shared.
HasTol
, org.apache.spark.ml.param.shared.
HasWeightCol
, org.apache.spark.ml.classification.
ProbabilisticClassifierParams
)
org.apache.spark.ml.param.shared.
HasSeed
org.apache.spark.ml.regression.
FactorizationMachinesParams
(also extends org.apache.spark.ml.param.shared.
HasFitIntercept
, org.apache.spark.ml.param.shared.
HasMaxIter
, org.apache.spark.ml.param.shared.
HasRegParam
, org.apache.spark.ml.param.shared.
HasSolver
, org.apache.spark.ml.param.shared.
HasStepSize
, org.apache.spark.ml.param.shared.
HasTol
, org.apache.spark.ml.param.shared.
HasWeightCol
, org.apache.spark.ml.
PredictorParams
)
org.apache.spark.ml.classification.
FMClassifierParams
(also extends org.apache.spark.ml.classification.
ProbabilisticClassifierParams
)
org.apache.spark.ml.classification.
MultilayerPerceptronParams
(also extends org.apache.spark.ml.param.shared.
HasBlockSize
, org.apache.spark.ml.param.shared.
HasMaxIter
, org.apache.spark.ml.param.shared.
HasSolver
, org.apache.spark.ml.param.shared.
HasStepSize
, org.apache.spark.ml.param.shared.
HasTol
, org.apache.spark.ml.classification.
ProbabilisticClassifierParams
)
org.apache.spark.ml.param.shared.
HasSolver
org.apache.spark.ml.regression.
FactorizationMachinesParams
(also extends org.apache.spark.ml.param.shared.
HasFitIntercept
, org.apache.spark.ml.param.shared.
HasMaxIter
, org.apache.spark.ml.param.shared.
HasRegParam
, org.apache.spark.ml.param.shared.
HasSeed
, org.apache.spark.ml.param.shared.
HasStepSize
, org.apache.spark.ml.param.shared.
HasTol
, org.apache.spark.ml.param.shared.
HasWeightCol
, org.apache.spark.ml.
PredictorParams
)
org.apache.spark.ml.classification.
FMClassifierParams
(also extends org.apache.spark.ml.classification.
ProbabilisticClassifierParams
)
org.apache.spark.ml.classification.
MultilayerPerceptronParams
(also extends org.apache.spark.ml.param.shared.
HasBlockSize
, org.apache.spark.ml.param.shared.
HasMaxIter
, org.apache.spark.ml.param.shared.
HasSeed
, org.apache.spark.ml.param.shared.
HasStepSize
, org.apache.spark.ml.param.shared.
HasTol
, org.apache.spark.ml.classification.
ProbabilisticClassifierParams
)
org.apache.spark.ml.param.shared.
HasStandardization
org.apache.spark.ml.classification.
LinearSVCParams
(also extends org.apache.spark.ml.classification.
ClassifierParams
, org.apache.spark.ml.param.shared.
HasAggregationDepth
, org.apache.spark.ml.param.shared.
HasFitIntercept
, org.apache.spark.ml.param.shared.
HasMaxBlockSizeInMB
, org.apache.spark.ml.param.shared.
HasMaxIter
, org.apache.spark.ml.param.shared.
HasRegParam
, org.apache.spark.ml.param.shared.
HasThreshold
, org.apache.spark.ml.param.shared.
HasTol
, org.apache.spark.ml.param.shared.
HasWeightCol
)
org.apache.spark.ml.classification.
LogisticRegressionParams
(also extends org.apache.spark.ml.param.shared.
HasAggregationDepth
, org.apache.spark.ml.param.shared.
HasElasticNetParam
, org.apache.spark.ml.param.shared.
HasFitIntercept
, org.apache.spark.ml.param.shared.
HasMaxBlockSizeInMB
, org.apache.spark.ml.param.shared.
HasMaxIter
, org.apache.spark.ml.param.shared.
HasRegParam
, org.apache.spark.ml.param.shared.
HasThreshold
, org.apache.spark.ml.param.shared.
HasTol
, org.apache.spark.ml.param.shared.
HasWeightCol
, org.apache.spark.ml.classification.
ProbabilisticClassifierParams
)
org.apache.spark.ml.param.shared.
HasStepSize
org.apache.spark.ml.regression.
FactorizationMachinesParams
(also extends org.apache.spark.ml.param.shared.
HasFitIntercept
, org.apache.spark.ml.param.shared.
HasMaxIter
, org.apache.spark.ml.param.shared.
HasRegParam
, org.apache.spark.ml.param.shared.
HasSeed
, org.apache.spark.ml.param.shared.
HasSolver
, org.apache.spark.ml.param.shared.
HasTol
, org.apache.spark.ml.param.shared.
HasWeightCol
, org.apache.spark.ml.
PredictorParams
)
org.apache.spark.ml.classification.
FMClassifierParams
(also extends org.apache.spark.ml.classification.
ProbabilisticClassifierParams
)
org.apache.spark.ml.classification.
MultilayerPerceptronParams
(also extends org.apache.spark.ml.param.shared.
HasBlockSize
, org.apache.spark.ml.param.shared.
HasMaxIter
, org.apache.spark.ml.param.shared.
HasSeed
, org.apache.spark.ml.param.shared.
HasSolver
, org.apache.spark.ml.param.shared.
HasTol
, org.apache.spark.ml.classification.
ProbabilisticClassifierParams
)
org.apache.spark.ml.param.shared.
HasThreshold
org.apache.spark.ml.classification.
LinearSVCParams
(also extends org.apache.spark.ml.classification.
ClassifierParams
, org.apache.spark.ml.param.shared.
HasAggregationDepth
, org.apache.spark.ml.param.shared.
HasFitIntercept
, org.apache.spark.ml.param.shared.
HasMaxBlockSizeInMB
, org.apache.spark.ml.param.shared.
HasMaxIter
, org.apache.spark.ml.param.shared.
HasRegParam
, org.apache.spark.ml.param.shared.
HasStandardization
, org.apache.spark.ml.param.shared.
HasTol
, org.apache.spark.ml.param.shared.
HasWeightCol
)
org.apache.spark.ml.classification.
LogisticRegressionParams
(also extends org.apache.spark.ml.param.shared.
HasAggregationDepth
, org.apache.spark.ml.param.shared.
HasElasticNetParam
, org.apache.spark.ml.param.shared.
HasFitIntercept
, org.apache.spark.ml.param.shared.
HasMaxBlockSizeInMB
, org.apache.spark.ml.param.shared.
HasMaxIter
, org.apache.spark.ml.param.shared.
HasRegParam
, org.apache.spark.ml.param.shared.
HasStandardization
, org.apache.spark.ml.param.shared.
HasTol
, org.apache.spark.ml.param.shared.
HasWeightCol
, org.apache.spark.ml.classification.
ProbabilisticClassifierParams
)
org.apache.spark.ml.param.shared.
HasThresholds
org.apache.spark.ml.classification.
ProbabilisticClassifierParams
(also extends org.apache.spark.ml.classification.
ClassifierParams
, org.apache.spark.ml.param.shared.
HasProbabilityCol
)
org.apache.spark.ml.classification.
FMClassifierParams
(also extends org.apache.spark.ml.regression.
FactorizationMachinesParams
)
org.apache.spark.ml.classification.
LogisticRegressionParams
(also extends org.apache.spark.ml.param.shared.
HasAggregationDepth
, org.apache.spark.ml.param.shared.
HasElasticNetParam
, org.apache.spark.ml.param.shared.
HasFitIntercept
, org.apache.spark.ml.param.shared.
HasMaxBlockSizeInMB
, org.apache.spark.ml.param.shared.
HasMaxIter
, org.apache.spark.ml.param.shared.
HasRegParam
, org.apache.spark.ml.param.shared.
HasStandardization
, org.apache.spark.ml.param.shared.
HasThreshold
, org.apache.spark.ml.param.shared.
HasTol
, org.apache.spark.ml.param.shared.
HasWeightCol
)
org.apache.spark.ml.classification.
MultilayerPerceptronParams
(also extends org.apache.spark.ml.param.shared.
HasBlockSize
, org.apache.spark.ml.param.shared.
HasMaxIter
, org.apache.spark.ml.param.shared.
HasSeed
, org.apache.spark.ml.param.shared.
HasSolver
, org.apache.spark.ml.param.shared.
HasStepSize
, org.apache.spark.ml.param.shared.
HasTol
)
org.apache.spark.ml.param.shared.
HasTol
org.apache.spark.ml.regression.
FactorizationMachinesParams
(also extends org.apache.spark.ml.param.shared.
HasFitIntercept
, org.apache.spark.ml.param.shared.
HasMaxIter
, org.apache.spark.ml.param.shared.
HasRegParam
, org.apache.spark.ml.param.shared.
HasSeed
, org.apache.spark.ml.param.shared.
HasSolver
, org.apache.spark.ml.param.shared.
HasStepSize
, org.apache.spark.ml.param.shared.
HasWeightCol
, org.apache.spark.ml.
PredictorParams
)
org.apache.spark.ml.classification.
FMClassifierParams
(also extends org.apache.spark.ml.classification.
ProbabilisticClassifierParams
)
org.apache.spark.ml.classification.
LinearSVCParams
(also extends org.apache.spark.ml.classification.
ClassifierParams
, org.apache.spark.ml.param.shared.
HasAggregationDepth
, org.apache.spark.ml.param.shared.
HasFitIntercept
, org.apache.spark.ml.param.shared.
HasMaxBlockSizeInMB
, org.apache.spark.ml.param.shared.
HasMaxIter
, org.apache.spark.ml.param.shared.
HasRegParam
, org.apache.spark.ml.param.shared.
HasStandardization
, org.apache.spark.ml.param.shared.
HasThreshold
, org.apache.spark.ml.param.shared.
HasWeightCol
)
org.apache.spark.ml.classification.
LogisticRegressionParams
(also extends org.apache.spark.ml.param.shared.
HasAggregationDepth
, org.apache.spark.ml.param.shared.
HasElasticNetParam
, org.apache.spark.ml.param.shared.
HasFitIntercept
, org.apache.spark.ml.param.shared.
HasMaxBlockSizeInMB
, org.apache.spark.ml.param.shared.
HasMaxIter
, org.apache.spark.ml.param.shared.
HasRegParam
, org.apache.spark.ml.param.shared.
HasStandardization
, org.apache.spark.ml.param.shared.
HasThreshold
, org.apache.spark.ml.param.shared.
HasWeightCol
, org.apache.spark.ml.classification.
ProbabilisticClassifierParams
)
org.apache.spark.ml.classification.
MultilayerPerceptronParams
(also extends org.apache.spark.ml.param.shared.
HasBlockSize
, org.apache.spark.ml.param.shared.
HasMaxIter
, org.apache.spark.ml.param.shared.
HasSeed
, org.apache.spark.ml.param.shared.
HasSolver
, org.apache.spark.ml.param.shared.
HasStepSize
, org.apache.spark.ml.classification.
ProbabilisticClassifierParams
)
org.apache.spark.ml.param.shared.
HasWeightCol
org.apache.spark.ml.regression.
FactorizationMachinesParams
(also extends org.apache.spark.ml.param.shared.
HasFitIntercept
, org.apache.spark.ml.param.shared.
HasMaxIter
, org.apache.spark.ml.param.shared.
HasRegParam
, org.apache.spark.ml.param.shared.
HasSeed
, org.apache.spark.ml.param.shared.
HasSolver
, org.apache.spark.ml.param.shared.
HasStepSize
, org.apache.spark.ml.param.shared.
HasTol
, org.apache.spark.ml.
PredictorParams
)
org.apache.spark.ml.classification.
FMClassifierParams
(also extends org.apache.spark.ml.classification.
ProbabilisticClassifierParams
)
org.apache.spark.ml.classification.
LinearSVCParams
(also extends org.apache.spark.ml.classification.
ClassifierParams
, org.apache.spark.ml.param.shared.
HasAggregationDepth
, org.apache.spark.ml.param.shared.
HasFitIntercept
, org.apache.spark.ml.param.shared.
HasMaxBlockSizeInMB
, org.apache.spark.ml.param.shared.
HasMaxIter
, org.apache.spark.ml.param.shared.
HasRegParam
, org.apache.spark.ml.param.shared.
HasStandardization
, org.apache.spark.ml.param.shared.
HasThreshold
, org.apache.spark.ml.param.shared.
HasTol
)
org.apache.spark.ml.classification.
LogisticRegressionParams
(also extends org.apache.spark.ml.param.shared.
HasAggregationDepth
, org.apache.spark.ml.param.shared.
HasElasticNetParam
, org.apache.spark.ml.param.shared.
HasFitIntercept
, org.apache.spark.ml.param.shared.
HasMaxBlockSizeInMB
, org.apache.spark.ml.param.shared.
HasMaxIter
, org.apache.spark.ml.param.shared.
HasRegParam
, org.apache.spark.ml.param.shared.
HasStandardization
, org.apache.spark.ml.param.shared.
HasThreshold
, org.apache.spark.ml.param.shared.
HasTol
, org.apache.spark.ml.classification.
ProbabilisticClassifierParams
)
org.apache.spark.ml.classification.
NaiveBayesParams
(also extends org.apache.spark.ml.
PredictorParams
)
org.apache.spark.ml.classification.
OneVsRestParams
(also extends org.apache.spark.ml.classification.
ClassifierParams
, org.apache.spark.ml.classification.
ClassifierTypeTrait
)
org.apache.spark.ml.
PredictorParams
(also extends org.apache.spark.ml.param.shared.
HasFeaturesCol
, org.apache.spark.ml.param.shared.
HasLabelCol
, org.apache.spark.ml.param.shared.
HasPredictionCol
)
org.apache.spark.ml.classification.
ClassifierParams
(also extends org.apache.spark.ml.param.shared.
HasRawPredictionCol
)
org.apache.spark.ml.classification.
LinearSVCParams
(also extends org.apache.spark.ml.param.shared.
HasAggregationDepth
, org.apache.spark.ml.param.shared.
HasFitIntercept
, org.apache.spark.ml.param.shared.
HasMaxBlockSizeInMB
, org.apache.spark.ml.param.shared.
HasMaxIter
, org.apache.spark.ml.param.shared.
HasRegParam
, org.apache.spark.ml.param.shared.
HasStandardization
, org.apache.spark.ml.param.shared.
HasThreshold
, org.apache.spark.ml.param.shared.
HasTol
, org.apache.spark.ml.param.shared.
HasWeightCol
)
org.apache.spark.ml.classification.
OneVsRestParams
(also extends org.apache.spark.ml.classification.
ClassifierTypeTrait
, org.apache.spark.ml.param.shared.
HasWeightCol
)
org.apache.spark.ml.classification.
ProbabilisticClassifierParams
(also extends org.apache.spark.ml.param.shared.
HasProbabilityCol
, org.apache.spark.ml.param.shared.
HasThresholds
)
org.apache.spark.ml.classification.
FMClassifierParams
(also extends org.apache.spark.ml.regression.
FactorizationMachinesParams
)
org.apache.spark.ml.classification.
LogisticRegressionParams
(also extends org.apache.spark.ml.param.shared.
HasAggregationDepth
, org.apache.spark.ml.param.shared.
HasElasticNetParam
, org.apache.spark.ml.param.shared.
HasFitIntercept
, org.apache.spark.ml.param.shared.
HasMaxBlockSizeInMB
, org.apache.spark.ml.param.shared.
HasMaxIter
, org.apache.spark.ml.param.shared.
HasRegParam
, org.apache.spark.ml.param.shared.
HasStandardization
, org.apache.spark.ml.param.shared.
HasThreshold
, org.apache.spark.ml.param.shared.
HasTol
, org.apache.spark.ml.param.shared.
HasWeightCol
)
org.apache.spark.ml.classification.
MultilayerPerceptronParams
(also extends org.apache.spark.ml.param.shared.
HasBlockSize
, org.apache.spark.ml.param.shared.
HasMaxIter
, org.apache.spark.ml.param.shared.
HasSeed
, org.apache.spark.ml.param.shared.
HasSolver
, org.apache.spark.ml.param.shared.
HasStepSize
, org.apache.spark.ml.param.shared.
HasTol
)
org.apache.spark.ml.regression.
FactorizationMachinesParams
(also extends org.apache.spark.ml.param.shared.
HasFitIntercept
, org.apache.spark.ml.param.shared.
HasMaxIter
, org.apache.spark.ml.param.shared.
HasRegParam
, org.apache.spark.ml.param.shared.
HasSeed
, org.apache.spark.ml.param.shared.
HasSolver
, org.apache.spark.ml.param.shared.
HasStepSize
, org.apache.spark.ml.param.shared.
HasTol
, org.apache.spark.ml.param.shared.
HasWeightCol
)
org.apache.spark.ml.classification.
FMClassifierParams
(also extends org.apache.spark.ml.classification.
ProbabilisticClassifierParams
)
org.apache.spark.ml.classification.
NaiveBayesParams
(also extends org.apache.spark.ml.param.shared.
HasWeightCol
)
org.apache.spark.ml.classification.
TrainingSummary
org.apache.spark.ml.classification.
FMClassificationTrainingSummary
(also extends org.apache.spark.ml.classification.
FMClassificationSummary
)
org.apache.spark.ml.classification.
LinearSVCTrainingSummary
(also extends org.apache.spark.ml.classification.
LinearSVCSummary
)
org.apache.spark.ml.classification.
LogisticRegressionTrainingSummary
(also extends org.apache.spark.ml.classification.
LogisticRegressionSummary
)
org.apache.spark.ml.classification.
BinaryLogisticRegressionTrainingSummary
(also extends org.apache.spark.ml.classification.
BinaryLogisticRegressionSummary
)
org.apache.spark.ml.classification.
MultilayerPerceptronClassificationTrainingSummary
(also extends org.apache.spark.ml.classification.
MultilayerPerceptronClassificationSummary
)
org.apache.spark.ml.classification.
RandomForestClassificationTrainingSummary
(also extends org.apache.spark.ml.classification.
RandomForestClassificationSummary
)
org.apache.spark.ml.classification.
BinaryRandomForestClassificationTrainingSummary
(also extends org.apache.spark.ml.classification.
BinaryRandomForestClassificationSummary
)
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