local variable 'forecast_df_folds' referenced before assignment

[ghost]

Running into issue when running:

model.fit( traindata=dataset,

traindata=file_path, # Alternately, you can specify the file directly

ts_column=ts_column,
target=target,
cv=3,
sep=sep)

I get the error: local variable 'forecast_df_folds' referenced before assignment

Exception occurred while building Prophet model... Prophet object can only be fit once. Instantiate a new object. FB Prophet may not be installed or Model is not running... Traceback (most recent call last):

File "", line 33, in model.fit(

File "C:\Users\myname\anaconda3\lib\site-packages\auto_ts__init__.py", line 506, in fit self.ml_dict[name]['forecast'] = forecast_df_folds

UnboundLocalError: local variable 'forecast_df_folds' referenced before assignment

[t1masavin]

same error on Google Colab notebook.

[GGA-PERSO]

auto_ts/init.py not an expert but I think it should be forecast_df_folds = None instead of forecasts = None

?

[Baisalis]

I am also getting the same error. Please let me know if you know how to fix that problem. Thanks in advance.

[AutoViML]

Hi Baisalis, Vaderv, Hurkaine and t1masavin: I am sorry you are all getting this problem. The reason you get this error is that it is a catch-all error in case anything goes wrong with using your data to build a Facebook prophet model. So unless you can point me to the right Github notebook where you have your code or paste a sample of your data, I won't be able to fix it.

In addition, you can also send an email to rsesha2001 at gmail to get a copy of the notebook or colab file so I can look it over and fix if there are any problems with data or my code.

Also please try upgrading to the latest version. It usually has bug fixes that I find and I am also constantly testing it with new data sets and updating it.

$ pip install auto-ts --upgrade --user

Hope this helps, Ram

[AutoViML]

Hi all: I have found the error and fixed it - please upgrade Auto-TS to the latest version by:

$ pip install auto-ts --upgrade

You should see version 0.0.36 and that should work. Thanks

Ram On Wednesday, February 3, 2021, 6:47:59 PM EST, Baisali Sant @.***> wrote:

I am also getting the same error. Please let me know if you know how to fix that problem. Thanks in advance.

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[ghost]

I have just received this error again. Any advice?

[radulucaciu]

Hi @AutoViML

I encountered the same error and traced it to using kwargs = {'iter':1e2} on the following lines: https://github.com/AutoViML/Auto_TS/blob/master/auto_ts/models/build_prophet.py#L234 https://github.com/AutoViML/Auto_TS/blob/master/auto_ts/models/build_prophet.py#L254 https://github.com/AutoViML/Auto_TS/blob/master/auto_ts/models/build_prophet.py#L566

The reason is that 1e2 evaluates (at least on SageMaker Linux) to 100.0 (float) and Prophet expects an int which raises the error above due to the try / catch above.

Once I changed the line to kwargs = {'iter':100} it works as expected.

[satroutr]

seeing the same issue Time Interval is given as D Correct Time interval given as a valid Pandas date-range frequency...

================================================== Building Prophet Model

Running Facebook Prophet Model... Fit-Predict data (shape=(2458, 2)) with Confidence Interval = 0.95... Starting Prophet Fit No seasonality assumed since seasonality flag is set to False Starting Prophet Cross Validation Max. iterations using expanding window cross validation = 5

Fold Number: 1 --> Train Shape: 2433 Test Shape: 5 Exception occurred while building Prophet model... Column ds has timezone specified, which is not supported. Remove timezone. FB Prophet may not be installed or Model is not running...

---

UnboundLocalError Traceback (most recent call last) Cell In[20], line 7 1 forecast_df_folds=None 2 model = auto_timeseries(score_type='rmse', 3 time_interval='D', 4 non_seasonal_pdq=None, seasonality=False, seasonal_period=12, 5 model_type=['prophet'],dask_xgboost_flag=False, 6 verbose=2) ----> 7 model.fit(traindata, ts_column,target)

File ~/.local/lib/python3.9/site-packages/auto_ts/init.py:506, in auto_timeseries.fit(self, traindata, ts_column, target, sep, cv) 503 print(' FB Prophet may not be installed or Model is not running...') 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

[MasterMiao919]

I have also encountered this problem. Have you solved this problem

[ravik4985]

Getting error local variable 'forecast_df_folds' referenced before assignment. can somebody suggest a resolution upgrading auto-ts not helping.

[cgobat]

For future visitors to this thread: #98 resolved this issue.

[Fisixus]

Delete this part model_type='best' from "model = auto_timeseries(score_type='rmse')" this line. This issue belongs to the Prophet model.

[webcoderz]

still getting error is this fix on a branch still?

[AutoViML]

Can you try upgrading to the latest version 0.71? I have made all the changes mentioned in this thread. AutoVimal  On Wednesday, April 12, 2023 at 12:06:10 PM EDT, webcoderz @.***> wrote:

still getting error is this fix on a branch still?

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