Feature/mqf2

[jdb78]

Description

This PR adds the MQF2 loss

Checklist

• Linked issues (if existing)
• Amended changelog for large changes (and added myself there as contributor)
• Added/modified tests
• Used pre-commit hooks when committing to ensure that code is compliant with hooks. Install hooks with pre-commit install.
  To run hooks independent of commit, execute pre-commit run --all-files

Make sure to have fun coding!

[codecov-commenter]

Codecov Report

Merging #949 (4f099fe) into master (b9229c6) will decrease coverage by 0.46%.
The diff coverage is 91.08%.

@@            Coverage Diff             @@
##           master     #949      +/-   ##
==========================================
- Coverage   89.54%   89.07%   -0.47%     
==========================================
  Files          26       32       +6     
  Lines        4284     4661     +377     
==========================================
+ Hits         3836     4152     +316     
- Misses        448      509      +61     

Flag	Coverage Δ
cpu	89.07% <91.08%> (-0.47%)	⬇️
pytest	89.07% <91.08%> (-0.47%)	⬇️

Flags with carried forward coverage won't be shown. Click here to find out more.

Impacted Files	Coverage Δ
pytorch_forecasting/__init__.py	100.00% <ø> (ø)
pytorch_forecasting/models/deepar/__init__.py	96.72% <ø> (-0.06%)	⬇️
pytorch_forecasting/models/rnn/__init__.py	98.88% <ø> (ø)
pytorch_forecasting/metrics/base_metrics.py	80.85% <70.17%> (ø)
pytorch_forecasting/metrics/_mqf2_utils.py	86.48% <86.48%> (ø)
pytorch_forecasting/data/encoders.py	87.95% <87.67%> (-0.35%)	⬇️
pytorch_forecasting/utils.py	84.61% <89.65%> (+0.27%)	⬆️
pytorch_forecasting/data/timeseries.py	93.31% <94.44%> (-0.18%)	⬇️
pytorch_forecasting/data/samplers.py	94.82% <94.82%> (ø)
pytorch_forecasting/metrics/point.py	95.95% <95.95%> (ø)
... and 10 more

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