Python readDataset_for_testing示例

示例#1

def score_test(tunings, dataset):

    df1, df2 = data.readDataset_for_testing(dataset)

    # Training Set
    X_Train_DF = df1.ix[:, 3:23]
    X_Train = X_Train_DF.values.astype(float)
    Y_Train = np.asarray(list(df1["bug"]))
    # print X_Train
    # print Y_Train

    # Testing Set
    X_Test_DF = df2.ix[:, 3:23]
    X_Test = X_Test_DF.values.astype(float)
    Y_Test = np.asarray(list(df2["bug"]))
    # print X_Test
    # print Y_Test

    p = cart(X_Train, Y_Train, X_Test, Y_Test, tunings)

    return p

示例#2

文件： Random_forest_precision_trim.py 项目： manav1408/ParameterTuning

def score_test(candidate, datasets):

    df1, df2 = data.readDataset_for_testing(datasets)

    # Training Set
    X_Train_DF = df1.ix[:, 3:23]
    X_Train = X_Train_DF.values.astype(float)
    Y_Train = np.asarray(list(df1["bug"]))
    # print X_Train
    # print Y_Train

    # Testing Set
    X_Test_DF = df2.ix[:, 3:23]
    X_Test = X_Test_DF.values.astype(float)
    Y_Test = np.asarray(list(df2["bug"]))
    # print X_Test
    # print Y_Test

    p = random_forest(X_Train, Y_Train, X_Test, Y_Test, candidate)

    return p