sklearn.linear_model.LogisticRegression class

Description:

• Logistic Regression (aka logit, MaxEnt) classifier.
• Logistic regression (aka logit, MaxEnt) classifier.
• This class implements regularized Logistic regression using the ‘liblinear’ library, ‘newton-cg’, ‘sag’, ‘saga’ and ‘lbfgs’ solvers

__init__:

• penalty='l2', *, dual=False, tol=0.0001, C=1.0, fit_intercept=True, intercept_scaling=1, class_weight=None, random_state=None, solver='lbfgs', max_iter=100, multi_class='auto', verbose=0, warm_start=False, n_jobs=None, l1_ratio=None

Attributes:

Methods:

• fit(X, y[, sample_weight])
  • Fit the model according to the given training data.
• predict(X)
  • Predict class labels for samples in X.