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MEDS-tabularization

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0.0.1 MEDS_tabularization-0.0.1-py3-none-any.whl

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Project: MEDS-tabularization
Version: 0.0.1
Filename: MEDS_tabularization-0.0.1-py3-none-any.whl
Download: [link]
Size: 44145
MD5: 9b4b5a2b2f507f4df93bc2cfdf6e12b3
SHA256: 693e82c4ab0a3ba0af259b66e41f6738bea27dced2d8379dac9d52ce6101f62b
Uploaded: 2024-06-05 08:00:54 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt · entry_points.txt

METADATA

Metadata-Version: 2.1
Name: MEDS_tabularization
Version: 0.0.1
Summary: Scalable Tabularization of MEDS format Time-Series data
Author-Email: Matthew McDermott <mattmcdermott8[at]gmail.com>, Nassim Oufattole <noufattole[at]gmail.com>, Teya Bergamaschi <teyabergamaschi[at]gmail.com>
Project-Url: Homepage, https://github.com/mmcdermott/MEDS_Tabular_AutoML
Project-Url: Issues, https://github.com/mmcdermott/MEDS_Tabular_AutoML/issues
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.12
Requires-Dist: polars
Requires-Dist: pyarrow
Requires-Dist: loguru
Requires-Dist: hydra-core
Requires-Dist: numpy
Requires-Dist: scipy
Requires-Dist: pandas
Requires-Dist: tqdm
Requires-Dist: xgboost
Requires-Dist: scikit-learn
Requires-Dist: hydra-optuna-sweeper
Requires-Dist: hydra-joblib-launcher
Requires-Dist: ml-mixins
Requires-Dist: pre-commit; extra == "dev"
Requires-Dist: mprofile; extra == "profiling"
Requires-Dist: matplotlib; extra == "profiling"
Requires-Dist: pytest; extra == "tests"
Requires-Dist: pytest-cov; extra == "tests"
Requires-Dist: rootutils; extra == "tests"
Provides-Extra: dev
Provides-Extra: profiling
Provides-Extra: tests
Description-Content-Type: text/markdown
License-File: LICENSE
[Description omitted; length: 7481 characters]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.43.0)
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

Path Digest Size
MEDS_tabular_automl/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
MEDS_tabular_automl/describe_codes.py sha256=V_GvyEw64HSVzBKpaTnkHN4mOj1jzE1xelTdzWQyoaU 8354
MEDS_tabular_automl/file_name.py sha256=g1vdPnsFZTPUIT36JcDKGCLySW8784-bQ8RrZKp5nkc 1059
MEDS_tabular_automl/generate_static_features.py sha256=iEms250oT2ssFDUBYKAgZ8TrfIhPHQQWZmlogqHqpEI 7851
MEDS_tabular_automl/generate_summarized_reps.py sha256=EMY42TTb1sljzlV3Zg2FAtJckC5kB54DDO8KiyFEAZg 11774
MEDS_tabular_automl/generate_ts_features.py sha256=M9KRKbyGvGlavhvhG6rrFWrQT5KSC42svHUyGK7TUxI 6575
MEDS_tabular_automl/mapper.py sha256=gfFzH1fiEOnGPeAzmpM3DfwEYxGQn9qL44BfO3c2YDs 12547
MEDS_tabular_automl/utils.py sha256=ohcTDS9kFu8Tj6O0CoHO0N4nb7tL3KRm_14QvlkWCB4 16765
MEDS_tabular_automl/configs/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
MEDS_tabular_automl/configs/default.yaml sha256=xjh6LzRXC-2Lntwv8ZLPlwvx1FGSqWASTDXgG1blkYw 270
MEDS_tabular_automl/configs/describe_codes.yaml sha256=dKWSArkYrqs2JOLezK0aSeQp9aDfve_fn-4kNEDad1M 396
MEDS_tabular_automl/configs/launch_xgboost.yaml sha256=XQi0YP0nSqpKNzmKXLLfE3Ui6OH9bebvh_Yuf4h4I8g 1798
MEDS_tabular_automl/configs/tabularization.yaml sha256=azkFZ2aNOO5_2TEnfwFX7kmR3YgoHUxtNYP_-RBTNig 281
MEDS_tabular_automl/configs/task_specific_caching.yaml sha256=58ui787KAgPBFnYSQoDl_ghOtzwoaE1hc50LRWpVSL0 404
MEDS_tabular_automl/configs/tmp.yaml.yaml sha256=H7mnPXj-poJrOR01yFlhZWBC9bqZELY28X-g7J7vV30 1886
MEDS_tabular_automl/configs/tabularization/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
MEDS_tabular_automl/configs/tabularization/default.yaml sha256=iweKNwBfGWVqXpk_zTN1uSz5nod4wxL_aFud1cBOVZM 538
MEDS_tabular_automl/scripts/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
MEDS_tabular_automl/scripts/cache_task.py sha256=mETK1Xtbechby-BYgK96SqjYOpkKQhSJWqu5Xl9xJW0 3186
MEDS_tabular_automl/scripts/describe_codes.py sha256=Fp5275JCFX0Zsxr9dZgE9EzMu3Y0T23GQJCzACNs260 3466
MEDS_tabular_automl/scripts/launch_xgboost.py sha256=5rrbQwb7pvWzCxuRXUyU8TCMlJA1XjP4YUR7EaWHL40 16206
MEDS_tabular_automl/scripts/sweep_xgboost.py sha256=4RYUWWs5JyUdr8rqjGwYj0_hUxameT2vIoMeY7Xh3BM 2846
MEDS_tabular_automl/scripts/tabularize_static.py sha256=IQqnIBA7ZSFZQagRsbBFvqJqSxr4i9eD8hV2oMRd7EI 6690
MEDS_tabular_automl/scripts/tabularize_time_series.py sha256=G-Tf_xsMlVzPtwsqpb_8_KhsHzCl4r2EUzBi6olW-jQ 4662
MEDS_tabularization-0.0.1.dist-info/LICENSE sha256=SIjdTV3dLVUS16RxHQhWPi_ixO6Y-xZyY8v41QuqHCg 1074
MEDS_tabularization-0.0.1.dist-info/METADATA sha256=L2-mTRL8Us5scOSUpHV9iTsd_Tw1PZPWL0vl4O-GxEo 8802
MEDS_tabularization-0.0.1.dist-info/WHEEL sha256=GJ7t_kWBFywbagK5eo9IoUwLW6oyOeTKmQ-9iHFVNxQ 92
MEDS_tabularization-0.0.1.dist-info/entry_points.txt sha256=xhINWJbvNhkV3FFTKQUMFlRKkuJa-dsRzTY7cXTLotQ 461
MEDS_tabularization-0.0.1.dist-info/top_level.txt sha256=DTkGQz3ZXRow_yxoIUU3orD8eNgQWFE_llKL5skaBo8 20
MEDS_tabularization-0.0.1.dist-info/RECORD — —

top_level.txt

MEDS_tabular_automl

entry_points.txt

[console_scripts]
meds-tab-cache-task = MEDS_tabular_automl.scripts.cache_task:main
meds-tab-describe = MEDS_tabular_automl.scripts.describe_codes:main
meds-tab-tabularize-static = MEDS_tabular_automl.scripts.tabularize_static:main
meds-tab-tabularize-time-series = MEDS_tabular_automl.scripts.tabularize_time_series:main
meds-tab-xgboost = MEDS_tabular_automl.scripts.launch_xgboost:main
meds-tab-xgboost-sweep = MEDS_tabular_automl.scripts.sweep_xgboost:main