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simplified example long=False
df = load_daily(long=long)
model = AutoTS()
model.fit(df)
prediction = model.predict()
start_date = 'auto'
use_df = df if not long else model.df_wide_numeric
prediction.plot(
use_df,
remove_zeroes=False,
start_date=start_date,
)
plt.show()
prediction.plot_grid(use_df, start_date=start_date)
plt.show()
ax = model.plot_validations(use_df, subset='Best')
plt.legend(bbox_to_anchor=(1.02, 1), loc='upper left', borderaxespad=0)
plt.show() there are others as well, check out test.py and production_example.py in this repo |
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How I can Plot Actuals and Fitted values by best model?
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