logistic regression for regression sklearn code example

Example 1: logistic regression algorithm in python

# import the class
from sklearn.linear_model import LogisticRegression

# instantiate the model (using the default parameters)
logreg = LogisticRegression()

# fit the model with data
logreg.fit(X_train,y_train)

#
y_pred=logreg.predict(X_test)

Example 2: importing logistic regression

sklearn.linear_model.LogisticRegression