double_matrix_to_ndarray falsely assumes square matrices

[chausner]

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. When there are less instances than class labels, distributions_for_instances throws an exception:

File "C:\Program Files (x86)\Python27\lib\site-packages\weka\classifiers.py", line 129, in distributions_for_instances
return arrays.double_matrix_to_ndarray(self.__distributions(data.jobject))
File "C:\Program Files (x86)\Python27\lib\site-packages\weka\core\types.py", line 74, in double_matrix_to_ndarray
result[i][n] = element
IndexError: index 3 is out of bounds for axis 0 with size 3

[fracpete]

That's fixed now. Thanks for reporting!