package feature
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Type Members
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class
Imputer extends Estimator[ImputerModel] with ImputerParams with DefaultParamsWritable
:: Experimental :: Imputation estimator for completing missing values, either using the mean or the median of the column in which the missing values are located.
:: Experimental :: Imputation estimator for completing missing values, either using the mean or the median of the column in which the missing values are located. The input column should be of DoubleType or FloatType. Currently Imputer does not support categorical features yet (SPARK-15041) and possibly creates incorrect values for a categorical feature.
Note that the mean/median value is computed after filtering out missing values. All Null values in the input column are treated as missing, and so are also imputed.
- Annotations
- @Experimental()
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class
ImputerModel extends Model[ImputerModel] with ImputerParams with MLWritable
:: Experimental :: Model fitted by Imputer.
:: Experimental :: Model fitted by Imputer.
- Annotations
- @Experimental()
- class MathBinary extends Transformer with MathBinaryParams
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trait
MathBinaryParams extends HasOutputCol
Created by hollinwilkins on 12/27/16.
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class
MathUnary extends Transformer with HasInputCol with HasOutputCol
Created by hollinwilkins on 12/27/16.
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class
MultinomialLabeler extends Transformer with HasFeaturesCol with HasProbabilitiesCol with HasLabelsCol
Created by hollinwilkins on 1/18/17.
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class
StringMap extends Transformer with HasInputCol with HasOutputCol
Created by hollinwilkins on 2/5/17.
- class WordLengthFilter extends Transformer with WordLengthFilterParams with DefaultParamsWritable
Value Members
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object
Imputer extends DefaultParamsReadable[Imputer] with Serializable
- Annotations
- @Since( "2.1.0" )
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object
ImputerModel extends MLReadable[ImputerModel] with Serializable
- Annotations
- @Since( "2.1.0" )
- object WordLengthFilter extends DefaultParamsReadable[WordLengthFilter] with Serializable