Factual package intelligence from PyPI

optilearn 1.3.7 package intelligence

Use to train neural networks, A Package for optimize models, transfer or copy files from one directory to other, use for nlp short word treatment, choosing optimal data for ML models, use for Image Scraping , use in timeseries problem to split the data into train and test, Deal w

pip install optilearn

Current version
1.3.7
Python requirement
Not declared
License
Not declared
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
121.6 KiB
Release history
10 releases with files
Median release cadence
1 days

optilearn dependencies

PyPI declares 5 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. pandas
  2. numpy
  3. h5py
  4. scikit-learn
  5. torch

Compatibility and release files

optilearn publishes 1 wheel and 1 source archive for version 1.3.7. Wheel platform tags: any.

Declared Python classifiers: 3.1, 3.10, 3.11, 3.12, 3.2, 3.3, 3.4, 3.5, 3.6, 3.7, 3.8, 3.9.

Metadata completeness

PyPI does not currently declare: Python requirement, license. PyDeps marks these fields as unknown instead of guessing values.

Release activity and sources

PyPI lists 10 releases with files. The first dated release is ; 10 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .