灰色预测python

灰色预测是一种利用灰色模型GM(1,1)进行定量分析的方法，可以用于时间序列预测、畸变预测、波形预测和系统预测等。\[2\]在Python中，可以使用以下框架来实现灰色预测：

class GrayForecast():
    # 初始化
    def __init__(self, data, datacolumn=None):
        pass
    
    # 级比校验
    def level_check(self):
        pass
    
    # GM(1,1)建模
    def GM_11_build_model(self, forecast=5):
        pass
    
    # 预测
    def forecast(self, time=5, forecast_data_len=5):
        pass
    
    # 打印日志
    def log(self):
        pass
    
    # 重置
    def reset(self):
        pass
    
    # 作图
    def plot(self):
        pass

以上是一个简单的灰色预测的Python框架，你可以根据具体的需求和数据进行相应的实现和调整。
#### 引用[.reference_title]
- *1* [灰色预测法 —— python](https://blog.csdn.net/qq_25990967/article/details/123230157)[target="_blank" data-report-click={"spm":"1018.2226.3001.9630","extra":{"utm_source":"vip_chatgpt_common_search_pc_result","utm_medium":"distribute.pc_search_result.none-task-cask-2~all~insert_cask~default-1-null.142^v91^insert_down1,239^v3^insert_chatgpt"}} ] [.reference_item]
- *2* *3* [【数学建模】灰色预测及Python实现](https://blog.csdn.net/qq_36387683/article/details/88554434)[target="_blank" data-report-click={"spm":"1018.2226.3001.9630","extra":{"utm_source":"vip_chatgpt_common_search_pc_result","utm_medium":"distribute.pc_search_result.none-task-cask-2~all~insert_cask~default-1-null.142^v91^insert_down1,239^v3^insert_chatgpt"}} ] [.reference_item]
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