>reg = 0.1 lr = LogisticRegression(C=1/reg,max_iter=100, fit_intercept=True,solver='lbfgs').fit(X_train, y_train) ytrain_hat = lr.predict_proba(X_train) loss = log_loss(y_train,ytrain_hat) print loss print loss + 0.5*reg*LA.norm(lr.coef_)
Maybe i am doing it wrong
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