ITMO_FS.filters.univariate.chi2_measure

ITMO_FS.filters.univariate.chi2_measure(X, y)

Calculates score for the test chi-squared statistic from X. Chi-squared test is a statistical hypothesis test that is valid to perform when the test statistic is chi-squared distributed under the null hypothesis

Note: Input data must contain only non-negative features such as booleans or frequencies (e.g., term counts in document classification), relative to the classes.

Parameters:

• X (numpy array, shape (n_samples, n_features)) – The input samples.
• y (numpy array, shape (n_samples, )) – The classes for the samples.

Returns:

Return type:

Score for each feature as a numpy array, shape (n_features, )

See also

https()

//en.wikipedia.org/wiki/Chi-squared_test

Examples