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

Normalizer (Spark 4.0.0 JavaDoc)

org.apache.spark.mllib.feature.Normalizer

All Implemented Interfaces:

Serializable, VectorTransformer

Normalizes samples individually to unit L^p^ norm

For any 1 <= p < Double.PositiveInfinity, normalizes samples using sum(abs(vector).^p^)^(1/p)^ as norm.

For p = Double.PositiveInfinity, max(abs(vector)) will be used as norm for normalization.

param: p Normalization in L^p^ space, p = 2 by default.

See Also:

• Serialized Form

• Constructor Summary

  Constructors

• Method Summary

  Applies unit length normalization on a vector.

• Constructor Details
  • Normalizer

    public Normalizer(double p)

  • Normalizer

    public Normalizer()

• Method Details
  • transform

    Specified by:

    transform in interface VectorTransformer

    Parameters:

    vector - vector to be normalized.

    Returns:

    normalized vector. If the norm of the input is zero, it will return the input vector.

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