Package smile.feature.transform
Class Normalizer
java.lang.Object
smile.feature.transform.Normalizer
- All Implemented Interfaces:
Serializable
,Function<smile.data.Tuple,
,smile.data.Tuple> smile.data.transform.Transform
Normalize samples individually to unit norm. Each sample (i.e. each row of
the data matrix) with at least one non-zero component is rescaled
independently of other samples so that its norm (L1 or L2) equals one.
Scaling inputs to unit norms is a common operation for text classification or clustering for instance.
- See Also:
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Constructor Details
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Normalizer
Constructor.- Parameters:
norm
- the vector norm.columns
- the columns to transform.
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Method Details