Factual package intelligence from PyPI

ftir-prep 0.3.1 package intelligence

A framework for designing and evaluating optimal preprocessing pipelines for FTIR spectral data used in classification tasks. It provides modular implementations of common preprocessing techniques and

pip install ftir-prep

Current version
0.3.1
Python requirement
>=3.8
License
MIT
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
1.4 MiB
Release history
7 releases with files
Median release cadence
1 days

ftir-prep dependencies

PyPI declares 18 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. numpy >=1.20.0
  2. scikit-learn >=1.0.0
  3. optuna >=3.0.0
  4. rampy >=0.1.0
  5. PyWavelets >=1.9.0
  6. statsmodels >=0.13.0
  7. pandas >=1.3.0
  8. matplotlib >=3.5.0
  9. shap >=0.41.0
  10. openpyxl >=3.0.0

The compact report shows 12 of 18 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

ftir-prep publishes 1 wheel and 1 source archive for version 0.3.1. Wheel platform tags: any.

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

Release activity and sources

PyPI lists 7 releases with files. The first dated release is ; 7 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .