All Implemented Interfaces:
Serializable, org.apache.spark.internal.Logging, StringIndexerBase, Params, HasHandleInvalid, HasInputCol, HasInputCols, HasOutputCol, HasOutputCols, Identifiable, 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.

  • Nested Class Summary

    Nested Classes

    Nested classes/interfaces inherited from interface org.apache.spark.internal.Logging

    org.apache.spark.internal.Logging.LogStringContext, org.apache.spark.internal.Logging.SparkShellLoggingFilter

  • Constructor Summary

    Constructors

  • Method Summary

    Creates a copy of this instance with the same UID and some extra params.

    Param for how to handle invalid data (unseen labels or NULL values).

    inputCol()

    Param for input column name.

    inputCols()

    Param for input column names.

    labels()

    outputCol()

    Param for output column name.

    Param for output column names.

    read()

    Param for how to order labels of string column.

    toString()

    Transforms the input dataset.

    Check transform validity and derive the output schema from the input schema.

    uid()

    An immutable unique ID for the object and its derivatives.

    org.apache.spark.ml.feature.StringIndexerModel.StringIndexModelWriter

    write()

    Returns an MLWriter instance for this ML instance.

    Methods inherited from interface org.apache.spark.internal.Logging

    initializeForcefully, initializeLogIfNecessary, initializeLogIfNecessary, initializeLogIfNecessary$default$2, isTraceEnabled, log, logBasedOnLevel, logDebug, logDebug, logDebug, logDebug, logError, logError, logError, logError, logInfo, logInfo, logInfo, logInfo, logName, LogStringContext, logTrace, logTrace, logTrace, logTrace, logWarning, logWarning, logWarning, logWarning, MDC, org$apache$spark$internal$Logging$$log_, org$apache$spark$internal$Logging$$log__$eq, withLogContext

    Methods inherited from interface org.apache.spark.ml.util.MLWritable

    save

  • 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

    • load

    • handleInvalid

      Param for how to handle invalid data (unseen labels or NULL values). Options are 'skip' (filter out rows with invalid data), 'error' (throw an error), or 'keep' (put invalid data in a special additional bucket, at index numLabels). Default: "error"

      Specified by:
      handleInvalid in interface HasHandleInvalid
      Specified by:
      handleInvalid in interface StringIndexerBase
      Returns:
      (undocumented)

    • stringOrderType

      Param for how to order labels of string column. The first label after ordering is assigned an index of 0. Options are: - 'frequencyDesc': descending order by label frequency (most frequent label assigned 0) - 'frequencyAsc': ascending order by label frequency (least frequent label assigned 0) - 'alphabetDesc': descending alphabetical order - 'alphabetAsc': ascending alphabetical order Default is 'frequencyDesc'.

      Note: In case of equal frequency when under frequencyDesc/Asc, the strings are further sorted alphabetically.

      Specified by:
      stringOrderType in interface StringIndexerBase
      Returns:
      (undocumented)

    • outputCols

      Param for output column names.

      Specified by:
      outputCols in interface HasOutputCols
      Returns:
      (undocumented)

    • inputCols

      Param for input column names.

      Specified by:
      inputCols in interface HasInputCols
      Returns:
      (undocumented)

    • outputCol

      Param for output column name.

      Specified by:
      outputCol in interface HasOutputCol
      Returns:
      (undocumented)

    • inputCol

      Description copied from interface: HasInputCol

      Param for input column name.

      Specified by:
      inputCol in interface HasInputCol
      Returns:
      (undocumented)

    • uid

      An immutable unique ID for the object and its derivatives.

      Specified by:
      uid in interface Identifiable
      Returns:
      (undocumented)

    • labelsArray

      public String[][] labelsArray()

    • labels

    • setHandleInvalid

    • setInputCol

    • setOutputCol

    • setInputCols

    • setOutputCols

    • transform

      Transforms the input dataset.

      Specified by:
      transform in class Transformer
      Parameters:
      dataset - (undocumented)
      Returns:
      (undocumented)

    • transformSchema

      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

      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

      Specified by:
      toString in interface Identifiable
      Overrides:
      toString in class Object