在使用此估算器之前，如何调用“适合”适当的 arguments？

Question

 # predict - Predict class labels for samples in X
 log_reg.predict(X_train).fit
 y_pred = log_reg.predict(X_train).fit

 # predict_proba - Probability estimates
 pred_proba = log_reg.predict_proba(X_train)

 # coef_ - Coefficient of the features in the decision function
 log_reg.coef_

NotFittedError：尚未拟合此 LogisticRegression 实例。 在使用此估算器之前，使用适当的 arguments 调用“fit”。

Answer 1

# fit classifier on train data
clf = log_reg.fit(X_train, y_train)
# predict on test data
y_pred = clf.predict(X_test)
# predict probabilities on test data
pred_proba = clf.predict_proba(X_test)
# coefficient of the features in the decision function
print(clf.coef_)