MLBase
spark_ml
MLPSolver
classification
MLResult
result
MLResultUtil
spark_ml
MaxAbsScaler
VectorScalerType
MetricStatsValues
result
MinMaxPlusMinusOneScaler
VectorScalerType
MinMaxZeroOneScaler
VectorScalerType
MultiLayerPerceptron
classification
Multinomial
LogisticModelFamily
mae
RegressionEvalMetric
RegressionMetricStats
map
VectorMap
mapWithIndex
VectorMap
max
MetricStatsValues
ScalarStateFunctionVectorAgg
maxBins
TreeCore
maxDepth
TreeCore
maxIteration
GradientBoostTree
LinearSupportVectorMachine
LogisticRegression
MultiLayerPerceptron
BisectingKMeans
GaussianMixture
KMeans
LDA
GeneralizedLinearRegression
GradientBoostRegressionTree
LinearRegression
mean
MetricStatsValues
median
MLResultUtil
MetricStatsValues
merge
VectorAgg
mergeBuffers
PerElementAccumVectorAgg
StateFunctionVectorAgg
VectorAgg
metric
EvaluatorWrapper
min
MetricStatsValues
ScalarStateFunctionVectorAgg
minCrossValidationTrainingSizeRatio
TemporalClassificationLearningSetting
TemporalLearningSetting
TemporalRegressionLearningSetting
minDivisibleClusterSize
BisectingKMeans
minInfoGain
TreeCore
minInstancesPerNode
TreeCore
minTrainingSize
ForwardChainingCrossValidatorModel
minTrainingSizeRatio
ForwardChainingCrossValidator
ml
spark
mlModelId
MLResult
ClassificationRunSpec
RegressionRunSpec
RunSpec
TemporalClassificationRunSpec
TemporalRegressionRunSpec
mlServiceSetting
SparkMLApp
model
ParamSourceBinder
modelType
NaiveBayes
models
spark_ml
mse
RegressionEvalMetric
RegressionMetricStats
multinomial
BayesModelType