我已经用python编写了一个程序，该程序可以根据火车数据预测位置名称，但是该程序适用于小型数据集，但是现在我尝试使用大型数据集，但遇到错误Kernel died, restarting。
我正在从SQl服务器导入数据。
像内核一样运行时会死model.fit(X_train, y_train)：
程序：
from sklearn.model_selection import train_test_split
X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=0)
from sklearn.svm import LinearSVC
#pipeline of feature engineering and model
from sklearn.calibration import CalibratedClassifierCV
from sklearn.feature_extraction.text import TfidfVectorizer
from sklearn.pipeline import FeatureUnion, make_pipeline
from sklearn.model_selection import KFold
word_vectorizer = TfidfVectorizer(ngram_range=(1, 2))
features = FeatureUnion([('words', word_vectorizer), ])
kf = KFold(n_splits=3)
calibrated_svc = CalibratedClassifierCV(LinearSVC(), method='sigmoid', cv=kf)
model = make_pipeline(features, calibrated_svc)
print("Model Created Successfully...")
model.fit(X_train, y_train)
print("Data fitted Successfully...")
运行model.fit（X_train，y_train）
获取错误：An error ocurred while starting the kernel
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我已经更新了所有库，还重新安装了conda，还安装了mkl，但存在相同的错误。
请建议解决错误