逻辑回归_训练二元分类器

逻辑回归_训练二元分类器

# 训练一个二元分类器
from sklearn.linear_model import LogisticRegression
from sklearn import datasets
from sklearn.preprocessing import StandardScaleriris &＃61; datasets.load_iris()
features &＃61; iris.data[:100,:]
target &＃61; iris.target[:100]scaler &＃61; StandardScaler()
features_standardized &＃61; scaler.fit_transform(features)logistic_regression &＃61; LogisticRegression(random_state&＃61;0)
model &＃61; logistic_regression.fit(features_standardized, target)# 创建样本点
new_observation &＃61; [[.5, .5, .5, .5]]print("model.predict: {}".format(model.predict(new_observation)))
# 查看预测概率
print("model.predict_proba: {}".format(model.predict_proba(new_observation)))