Is it normal that if n_lags + n_forecasts is bigger in length then the validation set, neuralprophet throw out an "Index out of range" error during training?

[Domics10]

Prerequisites

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    cd neural_prophet
    pip install .

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Describe the bug

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To Reproduce

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1. With the data '...'
2. Setting the model hyperparameters '....'
3. After running these code lines '....'
4. When using this function '....'
5. See error

Expected behavior

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What actually happens

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Screenshots

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Environment (please complete the following information):

• Python environment [e.g. Python 3.8, in standalone venv with no other packages]
• NeuralProphet version and install method [e.g. 2.7, installed from PYPI with pip install neuralprophet]

Additional context

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