model fit method throws error "local variable 'forecast_df_folds' referenced before assignment"

[ashish-cerv]

I installed the package using pip and then cloned the repo to test run the example notebook.
It throws the following error.
Start of Fit.....
Running Augmented Dickey-Fuller test with paramters:
maxlag: 5 regression: c autolag: BIC
Results of Augmented Dickey-Fuller Test:
+-----------------------------+------------------------------+
| | Dickey-Fuller Augmented Test |
+-----------------------------+------------------------------+
| Test Statistic | -3.2721577323655944 |
| p-value | 0.01616983190458116 |
| #Lags Used | 1.0 |
| Number of Observations Used | 43.0 |
| Critical Value (1%) | -3.5925042342183704 |
| Critical Value (5%) | -2.931549768951162 |
| Critical Value (10%) | -2.60406594375338 |
+-----------------------------+------------------------------+
this series is stationary
Target variable given as = Sales
Start of loading of data.....
Input is data frame. Performing Time Series Analysis
ts_column: Time Period sep: , target: Sales
Loaded pandas dataframe...
pandas Dataframe loaded successfully. Shape of data set = (45, 2)
chart frequency not known. Continuing...
Time Interval between observations has not been provided. Auto_TS will try to infer this now...
Time series input in days = 31
It is a Monthly time series.
WARNING: Running best models will take time... Be Patient...

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

Running Facebook Prophet Model...
Fit-Predict data (shape=(45, 3)) 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 = 3

Fold Number: 1 --> Train Shape: 30 Test Shape: 5
Root Mean Squared Error predictions vs actuals = 42.30
Std Deviation of actuals = 126.63
Normalized RMSE = 33%
Cross Validation window: 1 completed

Fold Number: 2 --> Train Shape: 35 Test Shape: 5
Root Mean Squared Error predictions vs actuals = 20.71
Std Deviation of actuals = 68.89
Normalized RMSE = 30%
Cross Validation window: 2 completed

Fold Number: 3 --> Train Shape: 40 Test Shape: 5
Root Mean Squared Error predictions vs actuals = 53.09
Std Deviation of actuals = 82.02
Normalized RMSE = 65%
Cross Validation window: 3 completed

---

Model Cross Validation Results:

MAE (as % Std Dev of Actuals) = 25.56%
MAPE (Mean Absolute Percent Error) = 5%
RMSE (Root Mean Squared Error) = 40.9755
Normalized RMSE (MinMax) = 11%
Normalized RMSE (as Std Dev of Actuals)= 31%

Time Taken = 6 seconds
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...

UnboundLocalError Traceback (most recent call last)
in
----> 1 model.fit(
2 traindata=train,
3 ts_column=ts_column,
4 target=target,
5 cv=3,

~\Anaconda3\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

[AutoViML]

ashish-cerv

Hah. Let me fix this in a day or two.
Thx
Ram

[kenny-pee]

Hi, has this been resolved?

[YingXu001]

Hi, it still seems cannot work.

[AutoViML]

I found the error and fixed it. Please upgrade via: $ pip install auto-ts --upgrade If you see the version number 0.0.36, it should work.Thanks for your patienceRam On Friday, March 12, 2021, 1:00:22 PM EST, Dreamer Tiger ***@***.***> wrote: Hi, it still seems cannot work. — You are receiving this because you commented. Reply to this email directly, view it on GitHub, or unsubscribe.

[YingXu001]

Thank you very much! Now I can run this model normally!

…

------------------ 原始邮件 ------------------ 发件人: "AutoViML/Auto_TS" ***@***.***>; 发送时间: 2021年3月14日(星期天) 中午12:24 ***@***.***>; ***@***.******@***.***>; 主题: Re: [AutoViML/Auto_TS] model fit method throws error "local variable 'forecast_df_folds' referenced before assignment" (#43) I found the error and fixed it. Please upgrade via: $ pip install auto-ts --upgrade If you see the version number 0.0.36, it should work.Thanks for your patienceRam On Friday, March 12, 2021, 1:00:22 PM EST, Dreamer Tiger ***@***.***> wrote: Hi, it still seems cannot work. — You are receiving this because you commented. Reply to this email directly, view it on GitHub, or unsubscribe. — You are receiving this because you commented. Reply to this email directly, view it on GitHub, or unsubscribe.

[AutoViML]

Great! Closing this issue as fixed.