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0.1.16 femr_cuda-0.1.16-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
femr_cuda-0.1.16-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
femr_cuda-0.1.16-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
femr_cuda-0.1.16-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl

Wheel Details

Project: femr-cuda
Version: 0.1.16
Filename: femr_cuda-0.1.16-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Download: [link]
Size: 1468447
MD5: 9e30115a76e6bef524fe8332a38b6c01
SHA256: 5b6179c8162dae24d3d762ff9788d19e9b7b2838f768ca1c347161201f765604
Uploaded: 2023-11-03 18:23:10 +0000

dist-info

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

METADATA

Metadata-Version: 2.1
Name: femr-cuda
Version: 0.1.16
Summary: Framework for Electronic Medical Records. A python package for building models using EHR data.
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Requires-Dist: sphinx-autoapi (>=1.5.1); extra == "build"
Requires-Dist: torchtyping (==0.1.4); extra == "build"
Requires-Dist: transformers (==4.25.1); extra == "build"
Requires-Dist: optax (==0.1.4); extra == "models"
Requires-Dist: dm-haiku (==0.0.9); extra == "models"
Requires-Dist: jax (==0.4.8); extra == "models"
Provides-Extra: build
Provides-Extra: models
Description-Content-Type: text/markdown
License-File: LICENSE
[Description omitted; length: 10401 characters]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.41.3)
Root-Is-Purelib: false
Tag: cp39-cp39-manylinux_2_17_x86_64
Tag: cp39-cp39-manylinux2014_x86_64

RECORD

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top_level.txt

femr

entry_points.txt

[console_scripts]
clmbr_compute_representations = femr.models.scripts:compute_representations
clmbr_create_batches = femr.models.dataloader:create_batches
clmbr_create_dictionary = femr.models.scripts:create_dictionary
clmbr_create_survival_dictionary = femr.models.scripts:create_survival_dictionary
clmbr_train_linear_probe = femr.models.linear_probe:train_linear_probe
clmbr_train_model = femr.models.scripts:train_model
etl_generic_omop = femr.etl_pipelines.omop:etl_generic_omop_program
etl_mimic_omop = femr.etl_pipelines.mimic:etl_mimic_omop_program
etl_sickkids_omop = femr.etl_pipelines.sickkids:etl_sk_omop_program
etl_simple_femr = femr.etl_pipelines.simple:etl_simple_femr_program
etl_stanford_omop = femr.etl_pipelines.stanford:etl_starr_omop_program
femr_compute_representations = femr.models.scripts:new_compute_representations