Package org.apache.spark.ml.feature

Class ColumnPruner

Object
org.apache.spark.ml.PipelineStage
org.apache.spark.ml.Transformer
org.apache.spark.ml.feature.ColumnPruner
All Implemented Interfaces:
Serializable, org.apache.spark.internal.Logging, Params, Identifiable, MLWritable, scala.Serializable
public class ColumnPruner extends Transformer implements MLWritable
Utility transformer for removing temporary columns from a DataFrame. TODO(ekl) make this a public transformer
See Also:

  • Constructor Details

    • ColumnPruner

      public ColumnPruner(String uid, scala.collection.immutable.Set<String> columnsToPrune)

    • ColumnPruner

      public ColumnPruner(scala.collection.immutable.Set<String> columnsToPrune)

  • Method Details

    • read

      public static MLReader<ColumnPruner> read()

    • load

      public static ColumnPruner load(String path)

    • uid

      public String uid()
      Description copied from interface: Identifiable
      An immutable unique ID for the object and its derivatives.
      Specified by:
      uid in interface Identifiable
      Returns:
      (undocumented)

    • columnsToPrune

      public scala.collection.immutable.Set<String> columnsToPrune()

    • transform

      public Dataset<Row> transform(Dataset<?> dataset)
      Description copied from class: Transformer
      Transforms the input dataset.
      Specified by:
      transform in class Transformer
      Parameters:
      dataset - (undocumented)
      Returns:
      (undocumented)

    • transformSchema

      public StructType transformSchema(StructType schema)
      Description copied from class: PipelineStage
      Check transform validity and derive the output schema from the input schema.

      We check validity for interactions between parameters during transformSchema and raise an exception if any parameter value is invalid. Parameter value checks which do not depend on other parameters are handled by Param.validate().

      Typical implementation should first conduct verification on schema change and parameter validity, including complex parameter interaction checks.

      Specified by:
      transformSchema in class PipelineStage
      Parameters:
      schema - (undocumented)
      Returns:
      (undocumented)

    • copy

      public ColumnPruner copy(ParamMap extra)
      Description copied from interface: Params
      Creates a copy of this instance with the same UID and some extra params. Subclasses should implement this method and set the return type properly. See defaultCopy().
      Specified by:
      copy in interface Params
      Specified by:
      copy in class Transformer
      Parameters:
      extra - (undocumented)
      Returns:
      (undocumented)

    • write

      public MLWriter write()
      Description copied from interface: MLWritable
      Returns an MLWriter instance for this ML instance.
      Specified by:
      write in interface MLWritable
      Returns:
      (undocumented)