AbstractIOSpec
setting
Auto
LogisticModelFamily RegressionSolver
absolute
GBTRegressionLossType
accuracy
ClassificationEvalMetric ClassificationMetricStats
aggregationDepth
LinearSupportVectorMachine LogisticRegression LinearRegression
all
RandomForestFeatureSubsetStrategy RandomRegressionForestFeatureSubsetStrategy
allFieldNames
AbstractIOSpec TemporalGroupIOSpec
apache
org
apply
SparkMLEstimatorFactory SparkMLServiceFactory StandardClassification TemporalClassification ClassificationResultConstructor StandardRegression TemporalRegression RegressionResultConstructor BooleanLabelIndexer Cacher DropSeriesLeft FilterOrderedGroupsWithCount InPlacePCA IndexToStringIfNeeded Normalizer NumericColumnScaler RCStatesWindowFactory SamplingTransformer SchemaUnchangedTransformer SeqShift SeqShiftWithConsecutiveOrder SlidingWindow SlidingWindowWithConsecutiveOrder VectorColumnScaler VectorHead VectorNorm
applyInPlace
NumericColumnScaler RCStatesWindowFactory SeqShift SeqShiftWithConsecutiveOrder SlidingWindow SlidingWindowWithConsecutiveOrder VectorColumnScaler VectorHead
applyWoWashout
RCStatesWindowFactory
areaUnderPR
ClassificationEvalMetric ClassificationMetricStats
areaUnderROC
ClassificationEvalMetric ClassificationMetricStats
array
bson
assembleVectors
SparkUtil
auto
RandomForestFeatureSubsetStrategy RandomRegressionForestFeatureSubsetStrategy
avgMetrics
ForwardChainingCrossValidatorModel