로지스틱 회기 (logistic regression)

실습 코드: 날씨 예측의 예 

 

 

import numpy as np
from sklearn.linear_model import LogisticRegression

X_train = np.r_[np.random.normal(3,1,size=50), np.random.normal(-1,8,size=50)].reshape((100,-1))

y_train = np.r_[np.ones(50), np.zeros(50)]

model = LogisticRegression()
model.fit(X_train, y_train)
print(model.predict_proba([[0],[1],[2]])[:,1])