Package org.apache.spark.ml.util
Interface DefaultParamsWritable
- All Superinterfaces:
MLWritable
- All Known Implementing Classes:
AFTSurvivalRegression,ALS,Binarizer,BinaryClassificationEvaluator,BisectingKMeans,BucketedRandomProjectionLSH,Bucketizer,ChiSqSelector,ClusteringEvaluator,CountVectorizer,DCT,DecisionTreeClassifier,DecisionTreeRegressor,ElementwiseProduct,FeatureHasher,FMClassifier,FMRegressor,FPGrowth,GaussianMixture,GBTClassifier,GBTRegressor,GeneralizedLinearRegression,HashingTF,IDF,Imputer,IndexToString,Interaction,IsotonicRegression,KMeans,LDA,LinearRegression,LinearSVC,LogisticRegression,MaxAbsScaler,MinHashLSH,MinMaxScaler,MulticlassClassificationEvaluator,MultilabelClassificationEvaluator,MultilayerPerceptronClassifier,NaiveBayes,NGram,Normalizer,OneHotEncoder,PCA,PolynomialExpansion,PowerIterationClustering,QuantileDiscretizer,RandomForestClassifier,RandomForestRegressor,RankingEvaluator,RegexTokenizer,RegressionEvaluator,RFormula,RobustScaler,SQLTransformer,StandardScaler,StopWordsRemover,StringIndexer,TargetEncoder,Tokenizer,UnivariateFeatureSelector,VarianceThresholdSelector,VectorAssembler,VectorIndexer,VectorSizeHint,VectorSlicer,Word2Vec
Helper trait for making simple
Params types writable. If a Params class stores
all data as Param values, then extending this trait will provide
a default implementation of writing saved instances of the class.
This only handles simple Param types; e.g., it will not handle
Dataset.
- See Also:
-
DefaultParamsReadable, the counterpart to this trait
-
Method Summary
Methods inherited from interface org.apache.spark.ml.util.MLWritable
save
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Method Details
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write
MLWriter write()Description copied from interface:MLWritableReturns anMLWriterinstance for this ML instance.- Specified by:
writein interfaceMLWritable- Returns:
- (undocumented)
-