checks for time series dataset split

[dengdifan]

Types of changes

• Breaking change (fix or feature that would cause existing functionality to not work as expected)
• Bug fix (non-breaking change which fixes an issue)
• New feature (non-breaking change which adds functionality)

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Checklist:

• My code follows the code style of this project.
• My change requires a change to the documentation.
• I have updated the documentation accordingly.

• Have you checked to ensure there aren't other open Pull Requests for the same update/change?
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Description

In the extreme case, the training set might no longer exist: #461. This PR adds an additional check to remove the invalid splits and raises an error if n_prediction_steps does not fit the current dataset.

Motivation and Context

How has this been tested?

[codecov]

Codecov Report

Merging #464 (62757b1) into development (c7220f7) will increase coverage by 20.83%.
The diff coverage is 100.00%.

@@               Coverage Diff                @@
##           development     #464       +/-   ##
================================================
+ Coverage        64.65%   85.49%   +20.83%     
================================================
  Files              231      231               
  Lines            16304    16311        +7     
  Branches          3009     3012        +3     
================================================
+ Hits             10542    13945     +3403     
+ Misses            4714     1528     -3186     
+ Partials          1048      838      -210     

Impacted Files	Coverage Δ
autoPyTorch/datasets/time_series_dataset.py	90.63% <100.00%> (+28.73%)	⬆️
...bone/forecasting_encoder/seq_encoder/TCNEncoder.py	96.46% <0.00%> (+1.76%)	⬆️
autoPyTorch/ensemble/ensemble_selection.py	96.87% <0.00%> (+2.08%)	⬆️
...nts/setup/network_backbone/ShapedResNetBackbone.py	100.00% <0.00%> (+2.08%)	⬆️
autoPyTorch/evaluation/utils.py	73.61% <0.00%> (+2.77%)	⬆️
...peline/components/training/trainer/MixUpTrainer.py	97.14% <0.00%> (+2.85%)	⬆️
...nts/setup/early_preprocessor/EarlyPreprocessing.py	85.71% <0.00%> (+2.85%)	⬆️
autoPyTorch/api/base_task.py	83.81% <0.00%> (+2.87%)	⬆️
...ar_preprocessing/feature_preprocessing/Nystroem.py	91.17% <0.00%> (+2.94%)	⬆️
...casting_backbone/forecasting_decoder/RNNDecoder.py	91.66% <0.00%> (+3.33%)	⬆️
... and 142 more

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[ravinkohli]

Thanks for the PR. I have a very minor suggestion, otherwise, this PR can be merged.