UnboundLocalError: local variable 'forecast_df_folds' referenced before assignment
Smrithi10 opened this issue · comments
I referred #39 and upgraded auto_ts .
auto-ts version ---- 0.0.36
Issue still persists. Could you please help me out here?
Time Interval is given as D
Correct Time interval given as a valid Pandas date-range frequency...
WARNING: Running best models will take time... Be Patient...
==================================================
Building Prophet Model
Running Facebook Prophet Model...
Fit-Predict data (shape=(330, 2)) with Confidence Interval = 0.95...
Starting Prophet Fit
Adding daily seasonality to Prophet with period=12, fourier_order=15 and prior_scale=0.10
Starting Prophet Cross Validation
Max. iterations using expanding window cross validation = 3
Fold Number: 1 --> Train Shape: 315 Test Shape: 5
Exception occurred while building Prophet model...
'StanModel' object has no attribute 'fit_class'
FB Prophet may not be installed or Model is not running...
UnboundLocalError Traceback (most recent call last)
in
----> 1 model.fit(traindata=train[['Date','FWD, 97 %ile']], ts_column='Date', target='FWD, 97 %ile', cv=3)
~\Anaconda3\envs\fbenv\lib\site-packages\auto_ts_init_.py in fit(self, traindata, ts_column, target, sep, cv)
504
505 self.ml_dict[name]['model'] = model
--> 506 self.ml_dict[name]['forecast'] = forecast_df_folds
507 self.ml_dict[name][self.score_type] = score_val
508 self.ml_dict[name]['model_build'] = model_build
UnboundLocalError: local variable 'forecast_df_folds' referenced before assignment
Hi @Smrithi10
Can you please provide a colab link or github link for the code and dataset that you are using? I am not sure where the error is coming from. Please send email to rsesha2001 at gmail if you keep getting this error.
Also there is a new version out, please upgrade and check:
pip install auto_ts --upgrade
Thanks
Ram