chainer_chemistry.functions.r2_score¶
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chainer_chemistry.functions.
r2_score
(pred, true, sample_weight=None, multioutput='uniform_average', ignore_nan=False)[source]¶ Computes R^2(coefficient of determination) regression score function. :param pred: Variable holding a vector, matrix or tensor of
estimated target values.Parameters: - true (Variable) – Variable holding a vector, matrix or tensor of correct target values.
- sample_weight – This argument is for compatibility with scikit-learn’s implementation of r2_score. Current implementation admits None only.
- multioutput (string) – [‘uniform_average’, ‘raw_values’]. if ‘uniform_average’, this function returns an average of R^2 score of multiple output. If ‘raw_average’, this function return a set of R^2 score of multiple output.
Returns: A Variable holding a scalar array of the R^2 score if ‘multioutput’ is ‘uniform_average’ or a vector of R^2 scores if ‘multioutput’ is ‘raw_values’.
Return type: Variable
Note
This function is non-differentiable.