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

StandardScalerParams (Spark 4.0.0 JavaDoc)

All Superinterfaces:

HasInputCol, HasOutputCol, Identifiable, Params, Serializable

All Known Implementing Classes:

StandardScaler, StandardScalerModel

• Method Summary

  boolean

  boolean

  Validates and transforms the input schema.

  Whether to center the data with mean before scaling.

  Whether to scale the data to unit standard deviation.

  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
  • getWithMean

    boolean getWithMean()

  • getWithStd

    boolean getWithStd()

  • validateAndTransformSchema

    Validates and transforms the input schema.

  • withMean

    Whether to center the data with mean before scaling. It will build a dense output, so take care when applying to sparse input. Default: false

    Returns:

    (undocumented)

  • withStd

    Whether to scale the data to unit standard deviation. Default: true

    Returns:

    (undocumented)

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