ssc

fastcan.utils.ssc(X, y)

Sum of the squared canonical correlation coefficients.

Parameters:

• X (array-like of shape (n_samples, n_features)) – Feature matrix.

• y (array-like of shape (n_samples, n_outputs)) – Target matrix.

Returns:

ssc – Sum of the squared canonical correlation coefficients.

Return type:

float

Examples

Try it in your browser!

>>> from fastcan.utils import ssc
>>> X = [[1], [-1], [0]]
>>> y = [[0], [1], [-1]]
>>> ssc(X, y)
np.float64(0.25)

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