Process ended with exit code -1073741571 (0xC00000FD)

[zhangdangdang]

CODE:

from sklearn.model_selection import train_test_split
from sklearn.metrics import accuracy_score, recall_score, f1_score, precision_score, classification_report, \
    cohen_kappa_score
import pandas as pd
from sklearn.preprocessing import StandardScaler, MinMaxScaler
import matplotlib.pyplot as plt
from sklearn.feature_selection import VarianceThreshold
import numpy as np
from sklearn.svm import LinearSVC
from sklearn.svm import SVC
def data_set(url):
    input_data_all = pd.read_csv(url, header=None)
    input_data_target = input_data_all.iloc[:, -1]  # [:, -1]
    input_data_feature = input_data_all.iloc[:, [0, 1]].copy()  # [0, 1, 3, 5]

    # 填充
    input_data_feature.replace([np.inf, -np.inf], np.nan, inplace=True)
    input_data_feature.interpolate(method='linear', axis=0, inplace=True)  # 将通过 linear 插值使用同一列的中间值作为填充

    input_data = input_data_feature
    input_data_t = input_data_target
    input_data = input_data.to_numpy()
    input_data = pd.DataFrame(input_data)

    return input_data, input_data_t
def train(train, test):
    x_train, y_train = data_set(train)
    x_train, x_test, y_train, y_test = train_test_split(x_train, y_train, test_size=0.3, random_state=2019)

    scaler = StandardScaler()
    scaler.fit(x_train)
    X_stand = scaler.transform(x_train)
    X_test_stand = scaler.transform(x_test)

    print('训练')
    svm = SVC(C=1.0, verbose=5, kernel='poly', decision_function_shape='ovo').fit(X_stand,
                                                                                   pd.DataFrame(
                                                                                       y_train).values.ravel())
    import sys
    sys.setrecursionlimit(2147483647)
    import m2cgen as m2c
    code = m2c.export_to_c(svm)  # 导出为c代码
    with open(' svm.c', 'w') as f:
        f.write(code)


if __name__ == '__main__':
    test_dataset = '06_PLskip.csv'
    train_dataset = r"t40-202_size-16-RDbest-20fram_1.csv"
    train(test_dataset, test_dataset)

The first error reported was：RecursionError: maximum recursion depth exceeded，
Then follow this link to increase sys.setrecursionlimit(2147483647), the return code has an error
Process ended with exit code -1073741571 (0xC00000FD)

[harshayelchuri]

Even, I'm facing the same issue