generated from LufsX/Experiment-LogReg
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@@ -90,6 +90,6 @@ if __name__ == "__main__":
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# 训练对率回归模型
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# 训练对率回归模型
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weights = train_logreg(X_train, y_train, learning_rate=0.01, iterations=1000)
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weights = train_logreg(X_train, y_train, learning_rate=0.01, iterations=1000)
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# 测试单个数据
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# 测试单个数据
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y_pred = predict_logreg(X_test[11], weights)
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y_pred = predict_logreg(X_test[11], weights)
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print(f"预测结果: {y_pred}, 实际结果: {y_test[11]}")
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print(f"预测结果: {y_pred}, 实际结果: {y_test[11]}")
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