conn2res.performance.corrcoef

conn2res.performance.corrcoef(y_true, y_pred, sample_weight=None, multioutput='uniform_average', nonnegative=None, **kwargs)[source]

Pearson’s correlation coefficient.

Parameters:

  • y_true (numpy.ndarray) – Ground truth target values.

  • y_pred (numpy.ndarray) – Predicted target values.

  • multioutput (str) – Defines aggregating of multiple output scores.

  • nonnegative (str) –

    Defines whether return the abosulate or squared value:

    ’squared’ : Squares the values of the correlations

    ’absolute’ : Takes the absolute value of the correlations

Returns:

  • score (float or ndarray of floats.)

  • A floating point value or an array of floating

  • point values, one for each individual target.