Package org.apache.spark.ml.feature

Class StringIndexerModel

Object
org.apache.spark.ml.PipelineStage
org.apache.spark.ml.Transformer
org.apache.spark.ml.Model<StringIndexerModel>
org.apache.spark.ml.feature.StringIndexerModel
All Implemented Interfaces:
Serializable, org.apache.spark.internal.Logging, org.apache.spark.ml.feature.StringIndexerBase, Params, HasHandleInvalid, HasInputCol, HasInputCols, HasOutputCol, HasOutputCols, Identifiable, MLWritable
public class StringIndexerModel extends Model<StringIndexerModel> implements org.apache.spark.ml.feature.StringIndexerBase, MLWritable
Model fitted by StringIndexer.

param: labelsArray Array of ordered list of labels, corresponding to indices to be assigned for each input column.

See Also:
Note:
During transformation, if any input column does not exist, StringIndexerModel.transform would skip the input column. If all input columns do not exist, it returns the input dataset unmodified. This is a temporary fix for the case when target labels do not exist during prediction.

  • Constructor Details

    • StringIndexerModel

      public StringIndexerModel(String uid, String[][] labelsArray)

    • StringIndexerModel

      public StringIndexerModel(String uid, String[] labels)

    • StringIndexerModel

      public StringIndexerModel(String[] labels)

    • StringIndexerModel

      public StringIndexerModel(String[][] labelsArray)

  • Method Details

    • read

      public static MLReader<StringIndexerModel> read()

    • load

      public static StringIndexerModel load(String path)

    • handleInvalid

      public Param<String> handleInvalid()
      Description copied from interface: HasHandleInvalid
      Param for how to handle invalid entries. Options are skip (which will filter out rows with bad values), or error (which will throw an error). More options may be added later.
      Specified by:
      handleInvalid in interface HasHandleInvalid
      Specified by:
      handleInvalid in interface org.apache.spark.ml.feature.StringIndexerBase
      Returns:
      (undocumented)

    • stringOrderType

      public final Param<String> stringOrderType()
      Specified by:
      stringOrderType in interface org.apache.spark.ml.feature.StringIndexerBase

    • outputCols

      public final StringArrayParam outputCols()
      Description copied from interface: HasOutputCols
      Param for output column names.
      Specified by:
      outputCols in interface HasOutputCols
      Returns:
      (undocumented)

    • inputCols

      public final StringArrayParam inputCols()
      Description copied from interface: HasInputCols
      Param for input column names.
      Specified by:
      inputCols in interface HasInputCols
      Returns:
      (undocumented)

    • outputCol

      public final Param<String> outputCol()
      Description copied from interface: HasOutputCol
      Param for output column name.
      Specified by:
      outputCol in interface HasOutputCol
      Returns:
      (undocumented)

    • inputCol

      public final Param<String> inputCol()
      Description copied from interface: HasInputCol
      Param for input column name.
      Specified by:
      inputCol in interface HasInputCol
      Returns:
      (undocumented)

    • 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)

    • labelsArray

      public String[][] labelsArray()

    • labels

      public String[] labels()
      Deprecated.
      `labels` is deprecated and will be removed in 3.1.0. Use `labelsArray` instead. Since 3.0.0.

    • setHandleInvalid

      public StringIndexerModel setHandleInvalid(String value)

    • setInputCol

      public StringIndexerModel setInputCol(String value)

    • setOutputCol

      public StringIndexerModel setOutputCol(String value)

    • setInputCols

      public StringIndexerModel setInputCols(String[] value)

    • setOutputCols

      public StringIndexerModel setOutputCols(String[] value)

    • 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 StringIndexerModel 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 Model<StringIndexerModel>
      Parameters:
      extra - (undocumented)
      Returns:
      (undocumented)

    • write

      public org.apache.spark.ml.feature.StringIndexerModel.StringIndexModelWriter write()
      Description copied from interface: MLWritable
      Returns an MLWriter instance for this ML instance.
      Specified by:
      write in interface MLWritable
      Returns:
      (undocumented)

    • toString

      public String toString()
      Specified by:
      toString in interface Identifiable
      Overrides:
      toString in class Object