How to use the pycm.pycm_overall_func.overall_statistics function in pycm

To help you get started, we’ve selected a few pycm examples, based on popular ways it is used in public projects.

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sepandhaghighi / pycm / pycm / pycm_obj.py View on Github

cm.matrix = cm.table
    cm.normalized_table = normalized_table_calc(cm.classes, cm.table)
    cm.normalized_matrix = cm.normalized_table
    cm.TP = matrix_param[2]
    cm.TN = matrix_param[3]
    cm.FP = matrix_param[4]
    cm.FN = matrix_param[5]
    statistic_result = class_statistics(
        TP=matrix_param[2],
        TN=matrix_param[3],
        FP=matrix_param[4],
        FN=matrix_param[5],
        classes=matrix_param[0],
        table=matrix_param[1])
    cm.class_stat = statistic_result
    cm.overall_stat = overall_statistics(
        RACC=statistic_result["RACC"],
        RACCU=statistic_result["RACCU"],
        TPR=statistic_result["TPR"],
        PPV=statistic_result["PPV"],
        F1=statistic_result["F1"],
        TP=statistic_result["TP"],
        FN=statistic_result["FN"],
        ACC=statistic_result["ACC"],
        POP=statistic_result["POP"],
        P=statistic_result["P"],
        TOP=statistic_result["TOP"],
        jaccard_list=statistic_result["J"],
        classes=cm.classes,
        table=cm.table,
        CEN_dict=statistic_result["CEN"],
        MCEN_dict=statistic_result["MCEN"],

sepandhaghighi / pycm / pycm / pycm_handler.py View on Github

cm.matrix = cm.table
    cm.normalized_table = normalized_table_calc(cm.classes, cm.table)
    cm.normalized_matrix = cm.normalized_table
    cm.TP = matrix_param[2]
    cm.TN = matrix_param[3]
    cm.FP = matrix_param[4]
    cm.FN = matrix_param[5]
    statistic_result = class_statistics(
        TP=matrix_param[2],
        TN=matrix_param[3],
        FP=matrix_param[4],
        FN=matrix_param[5],
        classes=matrix_param[0],
        table=matrix_param[1])
    cm.class_stat = statistic_result
    cm.overall_stat = overall_statistics(
        RACC=statistic_result["RACC"],
        RACCU=statistic_result["RACCU"],
        TPR=statistic_result["TPR"],
        PPV=statistic_result["PPV"],
        F1=statistic_result["F1"],
        TP=statistic_result["TP"],
        FN=statistic_result["FN"],
        ACC=statistic_result["ACC"],
        POP=statistic_result["POP"],
        P=statistic_result["P"],
        TOP=statistic_result["TOP"],
        jaccard_list=statistic_result["J"],
        classes=cm.classes,
        table=cm.table,
        CEN_dict=statistic_result["CEN"],
        MCEN_dict=statistic_result["MCEN"],

How to use the pycm.pycm_overall_func.overall_statistics function in pycm

To help you get started, we’ve selected a few pycm examples, based on popular ways it is used in public projects.

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