skmultilearn.utils module¶

skmultilearn.utils.get_matrix_in_format(original_matrix, matrix_format)[source] ¶

Converts matrix to format

Parameters:	original_matrix (np.matrix or scipy matrix or np.array of np. arrays) – matrix to convert matrix_format (string) – format
Returns:	matrix – matrix in given format
Return type:	scipy matrix

skmultilearn.utils.measure_per_label(measure, y_true, y_predicted)[source] ¶

Return per label results of a scikit-learn compatible quality measure

Parameters:	measure (callable) – scikit-compatible quality measure function y_true (sparse matrix) – ground truth y_predicted (sparse matrix) – the predicted result
Returns:	score from a given measure depending on what the measure returns
Return type:	List[int or float]