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1.0.5 autopeptideml-1.0.5-py3-none-any.whl

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Project: autopeptideml
Version: 1.0.5
Filename: autopeptideml-1.0.5-py3-none-any.whl
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Size: 5000775
MD5: 1e15ede4fc57a2faaa4b2f307c49e50d
SHA256: 44c730cd911e71aa1531a19b4d53e9a1462a6302c9e0f37a302c0632bfc1a04b
Uploaded: 2025-01-13 05:47:57 +0000

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

METADATA

Metadata-Version: 2.2
Name: autopeptideml
Version: 1.0.5
Summary: AutoML system for building trustworthy peptide bioactivity predictors
Author: Raul Fernandez-Diaz
Author-Email: raulfd[at]ibm.com
Home-Page: https://ibm.github.io/AutoPeptideML/
License: MIT
Keywords: autopeptideml
Requires-Python: >=3.9
Requires-Dist: optuna
Requires-Dist: scikit-learn
Requires-Dist: typer
Requires-Dist: mljar-scikit-plot
Requires-Dist: tokenizers
Requires-Dist: torch
Requires-Dist: transformers
Requires-Dist: lightgbm
Requires-Dist: xgboost
Requires-Dist: mdpdf
Requires-Dist: onnxmltools
Requires-Dist: skl2onnx
Requires-Dist: onnxruntime
Requires-Dist: hestia-ood (>=0.0.34)
Description-Content-Type: text/markdown
Dynamic: author
Dynamic: author-email
Dynamic: description
Dynamic: description-content-type
Dynamic: home-page
Dynamic: keywords
Dynamic: license
Dynamic: requires-dist
Dynamic: requires-python
Dynamic: summary
License-File: LICENSE
[Description omitted; length: 14468 characters]

WHEEL

Wheel-Version: 1.0
Generator: setuptools (75.8.0)
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

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autopeptideml-1.0.5.dist-info/RECORD — —

top_level.txt

autopeptideml

entry_points.txt

[console_scripts]
apml = autopeptideml.main:_build_model
apml-predict = autopeptideml.main:_predict
autopeptideml = autopeptideml.main:_build_model
autopeptideml-predict = autopeptideml.main:_predict
autopeptideml-setup = autopeptideml.data.preprocess_db:main