ageml
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0.2.0 | ageml-0.2.0-py3-none-any.whl |
Wheel Details
Project: | ageml |
Version: | 0.2.0 |
Filename: | ageml-0.2.0-py3-none-any.whl |
Download: | [link] |
Size: | 202676 |
MD5: | 32cb81c059ee5de1289d5aa3c3dc42b8 |
SHA256: | 66973b79e56578fef76b99c16ead0944a2ffebc1e8cb4db780e6aebe2673fb7e |
Uploaded: | 2024-09-24 09:15:37 +0000 |
dist-info
METADATA · WHEEL · RECORD · entry_points.txt
METADATA
WHEEL
Wheel-Version: | 1.0 |
Generator: | poetry-core 1.7.0 |
Root-Is-Purelib: | true |
Tag: | py3-none-any |
RECORD
Path | Digest | Size |
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ageml/__init__.py | sha256=hJyiJyPLX3W-5XBX13T4-i0nINyq5WkxMRCW32Gmz04 | 213 |
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ageml/datasets/__init__.py | sha256=Jf2_SLr1iWpS-yYCJz72gxXgWZY0zNCUYjnkyQ6ZMwk | 261 |
ageml/datasets/generate_synthetic_data.py | sha256=ARtq54XQQd40HKAZk8H7EVCc3s7BfggR99UMqsyZQv4 | 561 |
ageml/datasets/synthetic_data.py | sha256=-9w9RidvS4vggMVtmCQdn_q7av3UXF1WIs3Yw1ZVl5U | 10516 |
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ageml/messages.py | sha256=PFrZuQIcasN6pFFCXPkzVjGddLox3d5xUz_CmlPnrrw | 6992 |
ageml/modelling.py | sha256=WWhOAnG6aRadWsRVqJdGoJrqdjb1kstl1HV-5pdRs9U | 23953 |
ageml/processing.py | sha256=uPCdmxeHlpx9m-iOZMhO5R-EXQPNY3ykeMOfMXaO2-8 | 2357 |
ageml/ui.py | sha256=Lwf5wFQQ-WSotw23VfdpEybRVWd0GxpYOwGJWKxEGVs | 73887 |
ageml/utils.py | sha256=Hg21ep1yYcdS8XEsO8eFuO4dcUCcgS-tEJLL3mp0sc4 | 3073 |
ageml/visualizer.py | sha256=6ljnD-GaL5DLklc0I1-UQKavVlgiuHbHM7m0TFndgG4 | 12250 |
ageml-0.2.0.dist-info/LICENSE | sha256=psuoW8kuDP96RQsdhzwOqi6fyWv0ct8CR6Jr7He_P_k | 10173 |
ageml-0.2.0.dist-info/METADATA | sha256=dbTMEx1fDkC7hB8Ez09GZLhrn10E3LXVOIkrMCmLpwk | 8797 |
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ageml-0.2.0.dist-info/entry_points.txt | sha256=tHpYJV0TzaSE20ixOKcGaBQhTOr0orm_K64ZFrB4a0A | 295 |
ageml-0.2.0.dist-info/RECORD | — | — |
entry_points.txt
ageml = ageml.__main__:main
clinical_classify = ageml.commands:clinical_classify
clinical_groups = ageml.commands:clinical_groups
factor_correlation = ageml.commands:factor_correlation
generate_ageml_data = ageml.datasets.generate_synthetic_data:main
model_age = ageml.commands:model_age