[scikit-learn] Logistic regression doesnt converge?

[Mahesh Chandra]

>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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