scikit learn ridge regression
from sklearn.linear_model import Ridge
clf = Ridge(alpha=1.0)
clf.fit(X, y) #Fit Ridge regression model
clf.predict(y) #Predict using the modelscikit learn ridge regression
from sklearn.linear_model import Ridge
clf = Ridge(alpha=1.0)
clf.fit(X, y) #Fit Ridge regression model
clf.predict(y) #Predict using the modelridge regression implementation python
from sklearn.linear_model import Ridge
X_train, X_test, y_train, y_test = train_test_split(X_crime, y_crime,
random_state = 0)
linridge = Ridge(alpha=20.0).fit(X_train, y_train)Copyright © 2021 Codeinu
Forgot your account's password or having trouble logging into your Account? Don't worry, we'll help you to get back your account. Enter your email address and we'll send you a recovery link to reset your password. If you are experiencing problems resetting your password contact us
