generated from LufsX/Experiment-LogReg
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@@ -107,4 +107,8 @@ if __name__ == "__main__":
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X_test, y_test = load_data("./data/horse-colic.test")
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# 训练对率回归模型
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weights = train_logreg(
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weights = train_logreg(X_train, y_train, learning_rate=0.0005, iterations=3000, batch_size=32, lambda_=0.05)
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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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print(f"预测结果: {y_pred}, 实际结果: {y_test[11]}")
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