feature/better-time-series-docs

[jdb78]

Description

This PR does some housekeeping for timeseries and gives more control over sampling.

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!

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Codecov Report

Merging #518 (d22ebdc) into master (cf26008) will increase coverage by 0.23%.
The diff coverage is 92.38%.

@@            Coverage Diff             @@
##           master     #518      +/-   ##
==========================================
+ Coverage   89.08%   89.31%   +0.23%     
==========================================
  Files          24       24              
  Lines        3684     3698      +14     
==========================================
+ Hits         3282     3303      +21     
+ Misses        402      395       -7     

Flag	Coverage Δ
cpu	89.31% <92.38%> (+0.23%)	⬆️
pytest	89.31% <92.38%> (+0.23%)	⬆️

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

Impacted Files	Coverage Δ
pytorch_forecasting/metrics.py	93.22% <ø> (ø)
pytorch_forecasting/models/basic_rnn/__init__.py	0.00% <0.00%> (ø)
pytorch_forecasting/data/timeseries.py	93.35% <86.66%> (+0.62%)	⬆️
pytorch_forecasting/models/deepar/__init__.py	97.54% <88.88%> (-1.63%)	⬇️
pytorch_forecasting/utils.py	80.98% <91.30%> (+1.99%)	⬆️
pytorch_forecasting/models/base_model.py	88.19% <96.42%> (+0.18%)	⬆️
pytorch_forecasting/__init__.py	100.00% <100.00%> (ø)
pytorch_forecasting/models/mlp/__init__.py	100.00% <100.00%> (ø)
pytorch_forecasting/models/nbeats/__init__.py	93.57% <100.00%> (-0.12%)	⬇️
pytorch_forecasting/models/rnn/__init__.py	100.00% <100.00%> (ø)
... and 3 more

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