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Prophet can't be found in grid.py #55
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Hi! Try:
and try again. I don't include prophet as a required library because it has a lot of known installation issues. |
Thank you so much Mike! |
Issued solved. Thank you! |
Hi Michael, could you please help with a further error with prophet? My data has 53 observations. After taking a first order differencing, now there are 52 observations. After I feed the data into the models by running the code below. Everything is good except an error with prophet: Code:f.set_validation_length(6) Error:
--> 558 X["y"] = self.y.to_list() ValueError: Length of values (52) does not match length of index (53) Do you know what would possibly be the reason for the error? Thank you so much! |
This looks like a bug. Give me second to look into it. |
I was able to reproduce the error and found the source of the issue. In the next update, this will be fixed. I could probably commit a new version today or tomorrow. |
Thank you Michael! Appreciate your help! |
- Made an explicit error message when the RNN model does not have enough observations to evaluate (#58). - Changed the title of the loss plot from the RNN model. - Fixed how the prophet model creates its externals regressors dataframe to avoid a `ValueError` (#55). - Fixed an error with the RNN model when forecast horizon is 1.
Hi, this should be fixed with the new version of scalecast. Please upgrade is you have not already:
Thanks for raising the issue! |
Hello! I am running this code below from your medium article: https://towardsdatascience.com/introducing-scalecast-a-forecasting-library-pt-1-33b556d9b019
f.set_validation_length(6)
automatically tune and forecast with a series of models
models = ('mlr','knn','svr','xgboost','gbt','elasticnet','mlp', 'arima','prophet' )
for m in models:
f.set_estimator(m)
f.tune() # by default, will pull grids from Grids.py
f.auto_forecast()
I got this error: ModuleNotFoundError: No module named 'prophet'
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