scikit学习逻辑回归方程

Question

我在虹膜数据集上运行了逻辑回归。我很清楚这段代码。在此之后我想形成等式来测试数据如何做到这一点？我知道我可以使用预测功能对测试进行评分，但是我希望看到参数和各自的权重。能否请你帮忙。

from sklearn import datasets
from sklearn.preprocessing import StandardScaler
from sklearn.linear_model import LogisticRegression

iris = datasets.load_iris()

X = iris.data
y = iris.target

X_train, X_test, y_train, y_test = train_test_split(X, y, test_size = 0.3, random_state = 0)

sc = StandardScaler()
sc.fit(X_train)
X_train_std = sc.transform(X_train)

lr = LogisticRegression(C = 1000, random_state=0)
lr.fit(X_train_std, y_train)
print(lr.coef_)
print(lr.intercept_)

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