Example #1
0
def classification_filter(input_dict, widget):
    import noiseAlgorithms4lib    
    output_dict = {}
    output_dict['noise_dict']= MisclassificationIndices.calculate(input_dict['learner'],input_dict['data'],
                                                                  n_folds=int(input_dict['k_folds'])) \
        if type(input_dict['data']) else noiseAlgorithms4lib.cfdecide(input_dict, widget)
    return output_dict    
Example #2
0
def classification_filter(input_dict, widget):
    import noiseAlgorithms4lib
    output_dict = {}
    output_dict['noise_dict']= MisclassificationIndices.calculate(input_dict['learner'],input_dict['data'],
                                                                  n_folds=int(input_dict['k_folds'])) \
        if type(input_dict['data']) else noiseAlgorithms4lib.cfdecide(input_dict, widget)
    return output_dict
Example #3
0
def classification_filter(input_dict, widget):
    import noiseAlgorithms4lib
    output_dict = {}
    output_dict['noise_dict'] = noiseAlgorithms4lib.cfdecide(
        input_dict, widget)
    return output_dict
Example #4
0
def classification_filter(input_dict, widget):
    import noiseAlgorithms4lib    
    output_dict = {}
    output_dict['noise_dict']= noiseAlgorithms4lib.cfdecide(input_dict, widget)
    return output_dict