LightGBM Classification Prediction Function

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Code introduction


This function uses a LightGBM model to perform classification predictions on given feature data and label data. It first receives the feature data and label data, then uses the trained LightGBM model to make predictions, and returns the predicted results.


Technology Stack : LightGBM

Code Type : Function

Code Difficulty : Intermediate


                
                    
def predict_classifications(data, labels, model):
    """
    使用LightGBM模型对数据进行分类预测。

    :param data: 特征数据,格式为NumPy数组或Pandas DataFrame。
    :param labels: 标签数据,格式为NumPy数组或Pandas Series。
    :param model: 训练好的LightGBM模型。
    :return: 预测的分类结果,格式为NumPy数组。
    """
    # 使用模型进行预测
    predictions = model.predict(data)
    return predictions                
              
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