forked from LufsX/Experiment-LogReg
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+14
@@ -1,3 +1,17 @@
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import numpy as np
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"""
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请在这里填写学号和姓名,不填写即成绩无效。
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"""
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id = "202210423224"
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name = "吴杨洋"
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def sigmoid(z):
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"""
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Sigmoid 激活函数。
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"""
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return 1 / (1 + np.exp(-z))
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def train_logreg(X, y, random_state=42):
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model = LogisticRegression(solver='liblinear', random_state=random_state)
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model.fit(X, y)
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