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The implementation of double_matrix_to_ndarray assumes that the passed Java matrix is a square matrix. This may be true for confusion matrices but it's definitely an error for Classifier.distributions_for_instances. When there are more instances than class labels, distributions_for_instances works but returns a too big numpy array.
The implementation of double_matrix_to_ndarray assumes that the passed Java matrix is a square matrix. This may be true for confusion matrices but it's definitely an error for Classifier.distributions_for_instances. When there are more instances than class labels, distributions_for_instances works but returns a too big numpy array.
Report for Python 2.7 version of the library: fracpete/python-weka-wrapper#48
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