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[FIX] ADD forecasting init design to pip data files #459

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Merged
merged 2 commits into from
Aug 5, 2022

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dengdifan
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Description

This PR will fix issue #456 and a small fix for forecasting architecrures

@dengdifan dengdifan requested a review from ravinkohli August 4, 2022 16:17
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codecov bot commented Aug 4, 2022

Codecov Report

Merging #459 (ef79fed) into development (0e574af) will decrease coverage by 0.03%.
The diff coverage is 50.00%.

@@               Coverage Diff               @@
##           development     #459      +/-   ##
===============================================
- Coverage        85.50%   85.46%   -0.04%     
===============================================
  Files              231      231              
  Lines            16303    16304       +1     
  Branches          3009     3009              
===============================================
- Hits             13940    13935       -5     
- Misses            1524     1529       +5     
- Partials           839      840       +1     
Impacted Files Coverage Δ
setup.py 0.00% <ø> (ø)
...mponents/setup/network/forecasting_architecture.py 90.44% <50.00%> (-0.17%) ⬇️
...ecasting_encoder/seq_encoder/TransformerEncoder.py 93.61% <0.00%> (-2.13%) ⬇️
...ipeline/components/setup/network_backbone/utils.py 87.31% <0.00%> (-1.50%) ⬇️
...one/forecasting_encoder/flat_encoder/MLPEncoder.py 89.55% <0.00%> (-1.50%) ⬇️
autoPyTorch/datasets/base_dataset.py 80.28% <0.00%> (ø)

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Thanks for this fix PR. I think it can be merged.

@ravinkohli ravinkohli changed the title Fix forecasting init design and [FIX] ADD forecasting init design to pip data files Aug 5, 2022
@ravinkohli ravinkohli linked an issue Aug 5, 2022 that may be closed by this pull request
1 task
@ravinkohli ravinkohli merged commit c7220f7 into automl:development Aug 5, 2022
@dengdifan dengdifan deleted the forecasting_init_fix branch August 8, 2022 10:30
@ravinkohli ravinkohli mentioned this pull request Aug 23, 2022
10 tasks
ravinkohli added a commit that referenced this pull request Aug 23, 2022
* [FIX] Documentation and docker workflow file (#449)

* fixes to documentation and docker

* fix to docker

* Apply suggestions from code review

* add change log for release (#450)

* [FIX] release docs (#452)

* Release 0.2

* Release 0.2.0

* fix docs new line

* [FIX] ADD forecasting init design to pip data files (#459)

* add forecasting_init.json to data files under setup

* avoid undefined reference in scale_value

* checks for time series dataset split (#464)

* checks for time series dataset split

* maint

* Update autoPyTorch/datasets/time_series_dataset.py

Co-authored-by: Ravin Kohli <13005107+ravinkohli@users.noreply.github.com>

Co-authored-by: Ravin Kohli <13005107+ravinkohli@users.noreply.github.com>

* [FIX] Numerical stability scaling for timeseries forecasting tasks (#467)

* resolve rebase conflict

* add checks for scaling factors

* flake8 fix

* resolve conflict

* [FIX] pipeline options in `fit_pipeline` (#466)

* fix update of pipeline config options in fit pipeline

* fix flake and test

* suggestions from review

* [FIX] results management and visualisation with missing test data (#465)

* add flexibility to avoid checking for test scores

* fix flake and test

* fix bug in tests

* suggestions from review

* [ADD] Robustly refit models in final ensemble in parallel (#471)

* add parallel model runner and update running traditional classifiers

* update pipeline config to pipeline options

* working refit function

* fix mypy and flake

* suggestions from review

* fix mypy and flake

* suggestions from review

* finish documentation

* fix tests

* add test for parallel model runner

* fix flake

* fix tests

* fix traditional prediction for refit

* suggestions from review

* add warning for failed processing of results

* remove unnecessary change

* update autopytorch version number

* update autopytorch version number and the example file

* [DOCS] Release notes v0.2.1 (#476)

* Release 0.2.1

* add release docs

* Update docs/releases.rst

Co-authored-by: Difan Deng <33290713+dengdifan@users.noreply.github.com>
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time-series config json file missing when running example code
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