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1.0.0rc15 simba_ml-1.0.0rc15-py3-none-any.whl

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Project: simba-ml
Version: 1.0.0rc15
Filename: simba_ml-1.0.0rc15-py3-none-any.whl
Download: [link]
Size: 112560
MD5: e63fb173ccbd372746cbdb7ffb07dda9
SHA256: 175ccd6960ba45b4ecb9092391fca160b076346af548345955ccfe93e9af50b4
Uploaded: 2023-10-11 12:06:45 +0000

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METADATA

Metadata-Version: 2.1
Name: simba-ml
Version: 1.0.0rc15
Summary: Simulation-Based Machine Learning
Author: Maximilian Kleissl, Björn Heyder, Julian Zabbarov, Lukas Drews
Author-Email: maximilian.kleissl[at]student.hpi.de,bjoern.heyder[at]student.hpi.de,julian.zabbarov[at]student.hpi.de,lukas.drews[at]student.hpi.de
Project-Url: Bug Tracker, https://github.com/DILiS-lab/SimbaML/issues
Project-Url: Source Code, https://github.com/DILiS-lab/SimbaML
Project-Url: Documentation, https://simbaml.readthedocs.io
Keywords: python,machine learning,simulation,ordinary differential equations,ode,simba,simba-ml
Requires-Dist: streamlit
Requires-Dist: pandas
Requires-Dist: numpy
Requires-Dist: scipy
Requires-Dist: matplotlib
Requires-Dist: scikit-learn
Requires-Dist: dacite
Requires-Dist: tomli
Requires-Dist: wandb
Description-Content-Type: text/markdown
[Description omitted; length: 1089 characters]

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simba_ml/simulation/system_model/__init__.py sha256=ChTTGADHez3QJZHtwWUhQ90YchUvDJT4ZdPWRk_msas 207
simba_ml/simulation/system_model/system_model.py sha256=cl_vsN6fdDgSwy9upWpoyU0x7BNYbjqlCPls5THa1PI 12178
simba_ml/simulation/system_model/system_model_interface.py sha256=2csesWgeR_ITLAPrEh4K1HQ8kNruOP0dCKJ_GLxYcEI 1956
simba_ml-1.0.0rc15.dist-info/METADATA sha256=V7i17uoUfYhTGggA4Nung4Ah1EWqs6HfXq8E7eOLkSQ 1985
simba_ml-1.0.0rc15.dist-info/WHEEL sha256=yQN5g4mg4AybRjkgi-9yy4iQEFibGQmlz78Pik5Or-A 92
simba_ml-1.0.0rc15.dist-info/entry_points.txt sha256=xosHR6gTlMHipzB4hIFlIjGkwIjT048qfFDa-l-LVFc 57
simba_ml-1.0.0rc15.dist-info/top_level.txt sha256=Ay_j1BmFQvv3ey2pUZiVs_N_bbhlSWL-bX4xawd1uWs 9
simba_ml-1.0.0rc15.dist-info/RECORD

top_level.txt

simba_ml

entry_points.txt

simba_ml = simba_ml.cli.__main__:main