Logistic Regression Model: Implement in Python

Logistic Regression Series

  • Logistic Regression Model: Implement in Python: site

1. sklearnlinear_model.LogisticRegression

from sklearn.linear_model import LogisticRegression

model = LogisticRegression(
        fit_intercept=True, 
        penalty=None, C=1.0,
        dual=False, intercept_scaling=1, class_weight=None, random_state=None,
        solver='lbfgs', 
        tol=0.0001, max_iter=100, 
        multi_class='multinomial', 
        verbose=0, warm_start=False, n_jobs=None, l1_ratio=None)

References

"logistic regression" in Scikit Learn User Guide site

posted @ 2023-01-07 23:56  veager  阅读(23)  评论(0)    收藏  举报