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Showing content from http://spark.apache.org/docs/latest/api/java/org/apache/spark/ml/feature/MinMaxScalerParams.html below:

MinMaxScalerParams (Spark 4.0.0 JavaDoc)

All Superinterfaces:

HasInputCol, HasOutputCol, Identifiable, Params, Serializable

All Known Implementing Classes:

MinMaxScaler, MinMaxScalerModel

• Method Summary

  double

  double

  upper bound after transformation, shared by all features Default: 1.0

  lower bound after transformation, shared by all features Default: 0.0

  Validates and transforms the input schema.

  Methods inherited from interface org.apache.spark.ml.param.Paramsclear, copy, copyValues, defaultCopy, defaultParamMap, explainParam, explainParams, extractParamMap, extractParamMap, get, getDefault, getOrDefault, getParam, hasDefault, hasParam, isDefined, isSet, onParamChange, paramMap, params, set, set, set, setDefault, setDefault, shouldOwn

• Method Details
  • getMax

    double getMax()

  • getMin

    double getMin()

  • max

    upper bound after transformation, shared by all features Default: 1.0

    Returns:

    (undocumented)

  • min

    lower bound after transformation, shared by all features Default: 0.0

    Returns:

    (undocumented)

  • validateAndTransformSchema

    Validates and transforms the input schema.

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