如何将 TensorFlow 训练数据导出为 CSV
How to export TensorFlow training data to CSV
我是 运行 SVM 情绪分析项目，我想使用 tf-idf 对其进行矢量化。 tf-idf 部分的代码片段如下：
X = table_tfidf
y = df['label']
random_state = 42
from sklearn.model_selection import train_test_split
X_train, X_test, y_train, y_text = train_test_split(X, y, test_size=0.2, random_state=random_state)
#dividing training data to train data and validation data
X_train_train, X_train_val, y_train_train, y_train_val = train_test_split(X_train, y_train, test_size = 0.2)
如何将仅 X_train 和 y_train 的数据导出到 .csv 文件中？我想检查数据是否正确分割。谢谢！
应该这样做：
X_train.to_csv('X_train.csv')
我是 运行 SVM 情绪分析项目，我想使用 tf-idf 对其进行矢量化。 tf-idf 部分的代码片段如下：
X = table_tfidf
y = df['label']
random_state = 42
from sklearn.model_selection import train_test_split
X_train, X_test, y_train, y_text = train_test_split(X, y, test_size=0.2, random_state=random_state)
#dividing training data to train data and validation data
X_train_train, X_train_val, y_train_train, y_train_val = train_test_split(X_train, y_train, test_size = 0.2)
如何将仅 X_train 和 y_train 的数据导出到 .csv 文件中？我想检查数据是否正确分割。谢谢！
应该这样做：
X_train.to_csv('X_train.csv')