class sts_select.target_sel.StdDevSelector(scorer, std_dev=1.0, verbose=0)

Selects features based on the standard deviation of the score from the dataset max. From Lampos et al. (2017)

Parameters:

  • scorer (BaseScorer) – Scorer object to use for scoring.

  • std_dev (float) – Standard deviation threshold.

  • verbose (int) – Verbosity level.

fit(X, y)

Select features based on the standard deviation of the score from the dataset max. :param X: :param y: :return:

set_params(**params)

Helper function to set parameters in a way that’s compatible with sklearn.

Parameters:

params – Parameters to set.

transform(X)

Transform the input X to only include the selected features.

Parameters:

X – Input data.

Returns:

Transformed data.

class sts_select.target_sel.TopNSelector(scorer, n_features=30, verbose=0)
Parameters:

  • scorer (BaseScorer)

  • n_features (int)

  • verbose (int)

fit(X, y)

Select the top N features based on the X-y score. :param X: :param y: :return:

set_params(**params)

Helper function to set parameters in a way that’s compatible with sklearn.

Parameters:

params – Parameters to set.

transform(X)

Transform the input X to only include the selected features.

Parameters:

X – Input data.

Returns:

Transformed data.