[RELEASE] v0.2.1

[ravinkohli]

This PR fixes some minor bugs in v0.2.

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)

Note that a Pull Request should only contain one of refactoring, new features or documentation changes.
Please separate these changes and send us individual PRs for each.
For more information on how to create a good pull request, please refer to The anatomy of a perfect pull request.

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?
• Have you added an explanation of what your changes do and why you'd like us to include them?
• Have you written new tests for your core changes, as applicable?
• Have you successfully ran tests with your changes locally?

Description

This PR includes changes from

1. [FIX] Documentation and docker workflow file #449
2. [ADD] change log for release #450
3. [FIX] release docs #452
4. [FIX] ADD forecasting init design to pip data files #459
5. checks for time series dataset split #464
6. [FIX] results management and visualisation with missing test data #465
7. [FIX] pipeline options in fit_pipeline #466
8. [FIX] Numerical stability scaling for timeseries forecasting tasks #467
9. [ADD] Robustly refit models in final ensemble in parallel #471

Motivation and Context

This PR addresses recent issues raised after v0.2's release. More information about the issues can be found in the description of each of the PRs.

How has this been tested?

Each PR has successfully passed the ci checks.

[codecov]

Codecov Report

Merging #475 (17cdc09) into master (a784abb) will decrease coverage by 0.25%.
The diff coverage is 82.86%.

@@ Coverage Diff @@ ## master #475 +/- ## ========================================== - Coverage 85.53% 85.28% -0.26%  ========================================== Files 231 232 +1 Lines 16303 16456 +153 Branches 3009 3048 +39 ========================================== + Hits 13945 14034 +89  - Misses 1520 1573 +53  - Partials 838 849 +11 

Impacted Files	Coverage Δ
autoPyTorch/evaluation/test_evaluator.py	94.59% <ø> (ø)
...luation/time_series_forecasting_train_evaluator.py	90.79% <ø> (ø)
autoPyTorch/evaluation/train_evaluator.py	89.06% <ø> (+1.56%)	⬆️
setup.py	0.00% <ø> (ø)
autoPyTorch/utils/results_visualizer.py	95.53% <42.85%> (-3.52%)	⬇️
...mponents/setup/network/forecasting_architecture.py	89.55% <50.00%> (-1.05%)	⬇️
...tup/traditional_ml/traditional_learner/learners.py	81.20% <66.66%> (-1.90%)	⬇️
autoPyTorch/utils/results_manager.py	95.30% <73.52%> (-3.09%)	⬇️
...ml/traditional_learner/base_traditional_learner.py	92.59% <77.77%> (-2.22%)	⬇️
autoPyTorch/api/base_task.py	82.60% <81.53%> (-1.22%)	⬇️
... and 27 more

Help us with your feedback. Take ten seconds to tell us how you rate us. Have a feature suggestion? Share it here.