Factual package intelligence from PyPI

pipeline-optimizer 0.1.7 package intelligence

Pipeline Optimizer is a Python library that aims to simplify and automate the machine learning pipeline, from preprocessing and testing to deployment. By providing a reusable infrastructure, the library allows you to manage custom preprocessing functions and reuse them effortless

pip install pipeline-optimizer

Current version
0.1.7
Python requirement
>=3.8,<4.0
License
MIT
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
11.0 KiB
Release history
6 releases with files
Median release cadence
0 days

pipeline-optimizer dependencies

PyPI declares 2 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. scikit-learn >=0.24.0,<0.25.0
  2. pandas >=2.0.0,<3.0.0

Compatibility and release files

pipeline-optimizer publishes 1 wheel and 1 source archive for version 0.1.7. Wheel platform tags: any.

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

Metadata completeness

PyPI does not currently declare: project URL. PyDeps marks these fields as unknown instead of guessing values.

Release activity and sources

PyPI lists 6 releases with files. The first dated release is ; 6 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .

The project does not publish external project URLs in its PyPI metadata.