Jupyter Notebook 中的 Facebook Prophet 问题

问题描述

今天晚上早些时候，我为我目前正在进行的一个项目打开了一个 jupyter notebook，并更新了我正在使用的数据集，重新运行了 notebook，瞧，在执行以下操作之后，我遇到了以下问题代码：

df_fbprophet = df

df_m = df_fbprophet.resample("D").size().reset_index()
df_m.columns = ["date","daily_crime_count"]
df_m_final = df_m.rename(columns={"date": "ds","daily_crime_count": "y"})

m = Prophet(interval_width=0.95,yearly_seasonality=False)
m.add_seasonality(name="monthly",period=30.5,fourier_order=10)
m.add_seasonality(name="quarterly",period=91.5,fourier_order=10)
m.add_seasonality(name="weekly",period=52,fourier_order=10)
m.add_seasonality(name="daily",period=365,fourier_order=10)
m.fit(df_m_final)

future = m.make_future_dataframe(periods=365,freq="D")

forecast = m.predict(future)

fig = m.plot(forecast)
a = add_changepoints_to_plot(fig.gca(),m,forecast)

fig2 = m.plot_components(forecast)

fig2_1 = plot_plotly(m,forecast)
fig2_1``` 

 which produces the following output:

INFO:fbprophet:Found custom seasonality named 'weekly',disabling built-in 'weekly' seasonality.
INFO:fbprophet:Found custom seasonality named 'daily',disabling built-in 'daily' seasonality.
---------------------------------------------------------------------------
KeyError                                  Traceback (most recent call last)
KeyError: 'metric_file'

So far I've been unable to solve it on my own. Any ideas guys?

解决方法

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