NeuralProphet fit error and could not show train progress when run with vscode juypter in branch 0.5.0rc2 and master

[m2kar]

Prerequisites

• Put an X between the brackets on this line if you have done all of the following:
  • Reproduced the problem in a new virtualenv with only neuralprophet installed, directly from github:

    git clone https://github.com/ourownstory/neural_prophet.git
    cd neural_prophet
    pip install .

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Describe the bug

NeuralProphet fit error and could not show train progress when run with vscode python extension.
version: 0.5.0rc2, master is error, 0.4.0 is ok.

To Reproduce

Steps to reproduce the behavior:

1. Using VSCode python extension and the inside jupyter notebook feature
2. running notebook: neural_prophet/tutorials/application-example/energy_solar_pv.ipynb
3. After running these code lines

m = NeuralProphet(
    yearly_seasonality=3,
    weekly_seasonality=False,
    daily_seasonality=8,
    growth="off",
    learning_rate=0.1,
)
df_train, df_test = m.split_df(sf_pv_df, freq="H", valid_p=0.10)

metrics = m.fit(df_train, freq="H", validation_df=df_test, progress="plot")

6. See error

• attribute error

• progress show abnormal:

Expected behavior

progress bar show normally and without attribute error.

Environement (please complete the following information):

• Python environment : python 3.7.13 with pytorch
• NeuralProphet version and install method: 0.5.0rc2, installed from github
• vscode: 1.73.1 (extension python: v2022.18.2)

[noxan]

Thanks for the feedback :)

Just a general notice: there is a final 0.5.0 release, better use it instead of the rc2.

The attribute error seems to be related to #1064 and should be fixed in the main branch, also most likely independent of the progress bar issues. Would be great if you could double check this.

Regarding the progress bar we also added a few fixes, yet I've never seen the exact issue you described. @karl-richter do you have an idea what might be happening here?

[noxan]

@m2kar I can confirm the progress bar issue - it's already tracked upstream microsoft/vscode-jupyter#8552

You have to downgrade your ipywidgets<8 for the time being.