Example #1
0
def plot_confusion_matrix_for_result(result_folder, result_nr):
    """ Plot confusion matrix for dataset result with given nr."""
    filename = str(result_nr) + ".result.pkl"
    result_object = serial.load(os.path.join(result_folder, filename))
    confusion_mat = compute_confusion_matrix([result_object])
    plot_confusion_matrix(confusion_mat)    
Example #2
0
def plot_confusion_matrix_for_result(result_folder, result_nr):
    """ Plot confusion matrix for dataset result with given nr."""
    filename = str(result_nr) + ".result.pkl"
    result_object = serial.load(os.path.join(result_folder, filename))
    confusion_mat = compute_confusion_matrix([result_object])
    plot_confusion_matrix(confusion_mat)
Example #3
0
def plot_confusion_matrix_for_averaged_result(result_folder, result_nr):
    """ Plot confusion matrix for averaged dataset result."""
    result_objects = DatasetAveragedResults.load_result_objects_for(
        result_folder, result_nr)
    confusion_mat = compute_confusion_matrix(result_objects)
    plot_confusion_matrix(confusion_mat)
Example #4
0
def plot_confusion_matrix_for_averaged_result(result_folder, result_nr):
    """ Plot confusion matrix for averaged dataset result."""
    result_objects = DatasetAveragedResults.load_result_objects_for(
        result_folder, result_nr)
    confusion_mat = compute_confusion_matrix(result_objects)
    plot_confusion_matrix(confusion_mat)