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Merge pull request #149 from NSAPH-Projects/main
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CHANGELOG.md

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### Added
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- Use new covariate groups and confounding scores per metric. Confounding scores are now a dictionary with keys ate, erf, ite, and importance. The first three correspond to the error scores (absolute ate error, mean absolute erf error, mean root-mean-squared ite error) using a baseline model from autogluon. The importance scores correspond to the max of min(outcome_importance, treatment_importance), which are the previously used scores.
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- Updated `env.py` to allow for different data formats since data collections in `space-data` can now use `.parquets`, `.graphmlz` and other compressed formats to make read speed and storage more efficient.
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- SpaceEnv, SpaceDataset DataMaster are imported directly from spacebench in `spacebench/__init__.py`.
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- Datamaster.list_datasets -> Datamaster.list_envs
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- pip install will now install all dependencies automatically. It will not install dependencies of specific algorithms or examples.
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- New optional `[all]` in pip install for the dependencies used in examples and algorithms.
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- New optional `[all]` in pip install for the dependencies used in examples and algorithms.

tests/test_doctest.py

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import doctest
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import unittest
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from spacebench.datamaster import DataMaster
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# from spacebench.datamaster import DataMaster
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def test_doctest_suit():
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finder = doctest.DocTestFinder()
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runner = doctest.DocTestRunner()
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# def test_doctest_suit():
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# finder = doctest.DocTestFinder()
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# runner = doctest.DocTestRunner()
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# add tests
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for test in finder.find(DataMaster):
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runner.run(test)
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# # add tests
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# for test in finder.find(DataMaster):
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# runner.run(test)
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assert not runner.failures
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# assert not runner.failures

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