TestResult
test
Tokenizer
feature
Transformer
ml
test
stat
theta
NaiveBayesModel
threshold
Split
thresholds
BinaryClassificationMetrics
timeUnit
StreamingKMeans
toArray
DenseMatrix DenseVector Matrix SparseMatrix SparseVector Vector
toDebugString
DecisionTreeModel
toIndexedRowMatrix
CoordinateMatrix
toRowMatrix
CoordinateMatrix IndexedRowMatrix
toSeq
ParamMap
toString
Param ParamMap DenseVector Matrix SparseVector GeneralizedLinearModel LabeledPoint ChiSqTestResult TestResult DecisionTreeModel InformationGainStats Node Predict Split
topNode
DecisionTreeModel
train
LogisticRegressionWithSGD NaiveBayes SVMWithSGD KMeans ALS LassoWithSGD LinearRegressionWithSGD RidgeRegressionWithSGD DecisionTree GradientBoostedTrees
trainALSModel
PythonMLLibAPI
trainClassifier
DecisionTree RandomForest
trainDecisionTreeModel
PythonMLLibAPI
trainImplicit
ALS
trainImplicitALSModel
PythonMLLibAPI
trainKMeansModel
PythonMLLibAPI
trainLassoModelWithSGD
PythonMLLibAPI
trainLinearRegressionModelWithSGD
PythonMLLibAPI
trainLogisticRegressionModelWithLBFGS
PythonMLLibAPI
trainLogisticRegressionModelWithSGD
PythonMLLibAPI
trainNaiveBayes
PythonMLLibAPI
trainOn
StreamingKMeans StreamingLinearAlgorithm
trainRandomForestModel
PythonMLLibAPI
trainRegressor
DecisionTree RandomForest
trainRidgeModelWithSGD
PythonMLLibAPI
trainSVMModelWithSGD
PythonMLLibAPI
trainWord2Vec
PythonMLLibAPI
transform
PipelineModel Transformer LogisticRegressionModel StandardScalerModel CrossValidatorModel HashingTF IDFModel Normalizer StandardScalerModel VectorTransformer Word2VecModel
transformSchema
PipelineStage
tree
mllib
treeAggregate
RDDFunctions
treeReduce
RDDFunctions
treeStrategy
BoostingStrategy
treeWeights
GradientBoostedTreesModel
trees
GradientBoostedTreesModel RandomForestModel
truePositiveRate
MulticlassMetrics
tuning
ml