Packages

trait MLReadable[T] extends AnyRef

Trait for objects that provide MLReader.

T

ML instance type

Annotations
@Since("1.6.0")
Source
ReadWrite.scala
Linear Supertypes
AnyRef, Any
Known Subclasses
Pipeline, PipelineModel, DecisionTreeClassificationModel, DecisionTreeClassifier, FMClassificationModel, FMClassifier, GBTClassificationModel, GBTClassifier, LinearSVC, LinearSVCModel, LogisticRegression, LogisticRegressionModel, MultilayerPerceptronClassificationModel, MultilayerPerceptronClassifier, NaiveBayes, NaiveBayesModel, OneVsRest, OneVsRestModel, RandomForestClassificationModel, RandomForestClassifier, BisectingKMeans, BisectingKMeansModel, DistributedLDAModel, GaussianMixture, GaussianMixtureModel, KMeans, KMeansModel, LDA, LocalLDAModel, PowerIterationClustering, BinaryClassificationEvaluator, ClusteringEvaluator, MulticlassClassificationEvaluator, MultilabelClassificationEvaluator, RankingEvaluator, RegressionEvaluator, Binarizer, BucketedRandomProjectionLSH, BucketedRandomProjectionLSHModel, Bucketizer, ChiSqSelector, ChiSqSelectorModel, CountVectorizer, CountVectorizerModel, DCT, ElementwiseProduct, FeatureHasher, HashingTF, IDF, IDFModel, Imputer, ImputerModel, IndexToString, Interaction, MaxAbsScaler, MaxAbsScalerModel, MinHashLSH, MinHashLSHModel, MinMaxScaler, MinMaxScalerModel, NGram, Normalizer, OneHotEncoder, OneHotEncoderModel, PCA, PCAModel, PolynomialExpansion, QuantileDiscretizer, RFormula, RFormulaModel, RegexTokenizer, RobustScaler, RobustScalerModel, SQLTransformer, StandardScaler, StandardScalerModel, StopWordsRemover, StringIndexer, StringIndexerModel, Tokenizer, UnivariateFeatureSelector, UnivariateFeatureSelectorModel, VarianceThresholdSelector, VarianceThresholdSelectorModel, VectorAssembler, VectorIndexer, VectorIndexerModel, VectorSizeHint, VectorSlicer, Word2Vec, Word2VecModel, FPGrowth, FPGrowthModel, ALS, ALSModel, AFTSurvivalRegression, AFTSurvivalRegressionModel, DecisionTreeRegressionModel, DecisionTreeRegressor, FMRegressionModel, FMRegressor, GBTRegressionModel, GBTRegressor, GeneralizedLinearRegression, GeneralizedLinearRegressionModel, IsotonicRegression, IsotonicRegressionModel, LinearRegression, LinearRegressionModel, RandomForestRegressionModel, RandomForestRegressor, CrossValidator, CrossValidatorModel, TrainValidationSplit, TrainValidationSplitModel, DefaultParamsReadable
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Inherited
  1. MLReadable
  2. AnyRef
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Visibility
  1. Public
  2. Protected

Abstract Value Members

  1. abstract def read: MLReader[T]

    Returns an MLReader instance for this class.

    Returns an MLReader instance for this class.

    Annotations
    @Since("1.6.0")

Concrete Value Members

  1. def load(path: String): T

    Reads an ML instance from the input path, a shortcut of read.load(path).

    Reads an ML instance from the input path, a shortcut of read.load(path).

    Annotations
    @Since("1.6.0")
    Note

    Implementing classes should override this to be Java-friendly.