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,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 
- 
Method Details
- 
write
MLWriter write()Description copied from interface:MLWritableReturns anMLWriterinstance for this ML instance.- Specified by:
 writein interfaceMLWritable- Returns:
 - (undocumented)
 
 
 -