src.utils.ftransf.standardizer

Classes

Standardizer(**kwargs)

class src.utils.ftransf.standardizer.Standardizer(**kwargs)
Author:

Alberto M. Esmoris Pena

Class for transforming features by subtracting the mean and dividing by the standard deviation.

Let \(z\) be a standardized version of the feature \(x\) with mean \(\mu\) and standard deviation \(\sigma\). Then, \(z\) can be computed as:

\[z = \dfrac{x-\mu}{\sigma}\]
Variables:

  • center (bool) – Flag to control whether to center (i.e., subtract the mean).

  • scale (bool) – Flag to control whether to scale (i.e., divide by the standard deviation).

  • frenames ((list of str) or None) – When given, the normalized features will be stored in the point cloud with these names.

static extract_ftransf_args(spec)

Extract the arguments to initialize/instantiate a Standardizer.

Parameters:

spec – The key-word specification containing the arguments.

Returns:

The arguments to initialize/instantiate a Standardizer.

__init__(**kwargs)

Initialize/instantiate a Standardizer.

Parameters:

kwargs – The attributes for the Standardizer.

transform(F, y=None, fnames=None, out_prefix=None)

The fundamental feature transform logic defining the Standardizer.

See FeatureTransformer and feature_transformer.FeatureTransformer.transform().

get_names_of_transformed_features(**kwargs)

See FeatureTransformer and feature_transformer.FeatureTransformer.get_names_of_transformed_features()