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Feature: Added sweep functionality (#65)

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* feat: Parametricized model selection works now.

* feat: Fixed errors. Sweep generates and you can run it, but it gives an error for model.only_columns attribute.

* feat: Factored the wandb management, default config managment and the model_dictionary out of the run_pipeline to a seperate file.

* fix: Took out prints and fixed the mismatch of ensemble models when classifing.

* fix(Models): added StaticMomentum model to the dictionary, hopefully fixed sklearn-ex RandomForestRegressor problem

* fix(Dependencies): pin scikit-learn-ex's version, moved map_model_name_to_function to `models`

* feat(Sweep): added `run_sweep.py` shortcut

* feat(Pipeline): skip training a meta model if array is empty

Co-authored-by: Mark Aron Szulyovszky <mark.szulyovszky@gmail.com>
This commit is contained in:
Daniel Szemerey
2021-12-21 17:28:36 +01:00
committed by GitHub
co-authored by Mark Aron Szulyovszky
parent d3d7184ea4
commit 1c1b8b2e54
8 changed files with 222 additions and 151 deletions
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run_sweep.py
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from run_pipeline import setup_pipeline
setup_pipeline(project_name='price-prediction', with_wandb = True, sweep = True)