Obtaining summary from logistic regression(Python)

Question

model = LogisticRegression(random_state=0)
model.fit(X2, Y2)
Y2_prob=model.predict_proba(X2)[:,1]

I've built a logistic regression model on my training dataset X2 and Y2. Now is it possible for me to obtain the coefficients and p values from here? Because:

model.summary()

gives me:

AttributeError: 'LogisticRegression' object has no attribute 'summary'

Or can somebody help me suggest an alternative to obtain the important and significant features from this model? Any help will be appreciated. Thanks.

Answer 1

No. Its not possible to get the p-values from here. You can get the coefficients however by using model.coef_. If you need the p-values you'll have to use the statsmodels package. See this if you want to modify the sklearn class to get the p-values