Factual package intelligence from PyPI

signalseeker 0.2.1 package intelligence

Educational binary classification with XGBoost for signal/background separation

pip install signalseeker

Current version
0.2.1
Python requirement
>=3.8
License
MIT
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
80.0 KiB
Release history
2 releases with files
Median release cadence
0 days

signalseeker dependencies

PyPI declares 23 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. numpy >=1.21.0
  2. scikit-learn >=1.0.0
  3. xgboost >=1.5.0
  4. optuna >=2.10.0
  5. matplotlib >=3.5.0
  6. seaborn >=0.11.0
  7. joblib >=1.1.0

Compatibility and release files

signalseeker publishes 1 wheel and 1 source archive for version 0.2.1. Wheel platform tags: any.

Declared Python classifiers: 3.10, 3.11, 3.12, 3.8, 3.9.

Release activity and sources

PyPI lists 2 releases with files. The first dated release is ; 2 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .