MLWritable (Spark 3.5.5 JavaDoc) (original) (raw)
- All Known Subinterfaces:
DefaultParamsWritable, GeneralMLWritable
All Known Implementing Classes:
AFTSurvivalRegression, AFTSurvivalRegressionModel, ALS, ALSModel, Binarizer, BinaryClassificationEvaluator, BisectingKMeans, BisectingKMeansModel, BucketedRandomProjectionLSH, BucketedRandomProjectionLSHModel, Bucketizer, ChiSqSelector, ChiSqSelectorModel, ClusteringEvaluator, ColumnPruner, CountVectorizer, CountVectorizerModel, CrossValidator, CrossValidatorModel, DCT, DecisionTreeClassificationModel, DecisionTreeClassifier, DecisionTreeRegressionModel, DecisionTreeRegressor, DistributedLDAModel, ElementwiseProduct, FeatureHasher, FMClassificationModel, FMClassifier, FMRegressionModel, FMRegressor, FPGrowth, FPGrowthModel, GaussianMixture, GaussianMixtureModel, GBTClassificationModel, GBTClassifier, GBTRegressionModel, GBTRegressor, GeneralizedLinearRegression, GeneralizedLinearRegressionModel, HashingTF, IDF, IDFModel, Imputer, ImputerModel, IndexToString, Interaction, IsotonicRegression, IsotonicRegressionModel, KMeans, KMeansModel, LDA, LDAModel, LinearRegression, LinearRegressionModel, LinearSVC, LinearSVCModel, LocalLDAModel, LogisticRegression, LogisticRegressionModel, MaxAbsScaler, MaxAbsScalerModel, MinHashLSH, MinHashLSHModel, MinMaxScaler, MinMaxScalerModel, MulticlassClassificationEvaluator, MultilabelClassificationEvaluator, MultilayerPerceptronClassificationModel, MultilayerPerceptronClassifier, NaiveBayes, NaiveBayesModel, NGram, Normalizer, OneHotEncoder, OneHotEncoderModel, OneVsRest, OneVsRestModel, PCA, PCAModel, Pipeline, PipelineModel, PolynomialExpansion, PowerIterationClustering, QuantileDiscretizer, RandomForestClassificationModel, RandomForestClassifier, RandomForestRegressionModel, RandomForestRegressor, RankingEvaluator, RegexTokenizer, RegressionEvaluator, RFormula, RFormulaModel, RobustScaler, RobustScalerModel, SQLTransformer, StandardScaler, StandardScalerModel, StopWordsRemover, StringIndexer, StringIndexerModel, Tokenizer, TrainValidationSplit, TrainValidationSplitModel, UnivariateFeatureSelector, UnivariateFeatureSelectorModel, VarianceThresholdSelector, VarianceThresholdSelectorModel, VectorAssembler, VectorAttributeRewriter, VectorIndexer, VectorIndexerModel, VectorSizeHint, VectorSlicer, Word2Vec, Word2VecModel
public interface MLWritable
Trait for classes that provide MLWriter.
Method Summary
All Methods Instance Methods Abstract Methods
Modifier and Type Method and Description void save(String path) Saves this ML instance to the input path, a shortcut of write.save(path). MLWriter write() Returns an MLWriter instance for this ML instance. Method Detail
* #### save void save(String path) throws java.io.IOException Saves this ML instance to the input path, a shortcut of `write.save(path)`. Parameters: `path` \- (undocumented) Throws: `java.io.IOException` * #### write [MLWriter](../../../../../org/apache/spark/ml/util/MLWriter.html "class in org.apache.spark.ml.util") write() Returns an `MLWriter` instance for this ML instance. Returns: (undocumented)