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
目前没有回答
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