Factual package intelligence from PyPI

prosper-nn 0.3.2 package intelligence

Package contains, in PyTorch implemented, neural networks with problem specific pre-structuring architectures and utils that help building and understanding models.

pip install prosper-nn

Current version
0.3.2
Python requirement
>=3.6
License
Not declared
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
155.7 KiB
Release history
5 releases with files
Median release cadence
132 days

prosper-nn dependencies

PyPI declares 7 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. matplotlib <3.7,>=3.4.1
  2. mypy >=0.782
  3. numpy <2,>=1.20.2
  4. pandas <2,>=1.1.2
  5. scipy <2,>=1.5.0
  6. seaborn <1,>=0.11.0
  7. torch <3,>=1.6.0

Compatibility and release files

prosper-nn publishes 1 wheel and 1 source archive for version 0.3.2. Wheel platform tags: any.

No version-specific Python classifiers are declared.

Metadata completeness

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

Release activity and sources

PyPI lists 5 releases with files. The first dated release is ; 3 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.