在支柱上测量模型精度

2024-04-28 16:17:43 发布

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我正在运行这个代码。用Prophet对多个时间序列进行预测,但不知道如何评价模型。你知道吗

import pandas as pd
from fbprophet import Prophet
data = pd.read_csv(r'C:\Users\XXX.csv')
ids = data['id'].unique()
series = []
for id in ids:
   f = data[data['id'] == id]
   series.append(f)

def run_prophet(timeserie):
    model = Prophet(yearly_seasonality=False,daily_seasonality=False)
    model.fit(timeserie)
    forecast = model.make_future_dataframe(periods=90, include_history=False)
    forecast = model.predict(forecast)
    return forecast

results = list(map(lambda timeserie: run_prophet(timeserie), series))

results[0] 
results[1]

数据结构如下:

id       ds         y
id1   2017-01-01    12
id2   2017-01-01    15
id3   2017-01-01    16

Tags: csvrunimportidfalseidsdatamodel