Factual package intelligence from PyPI

kde-gpu 0.1.0 package intelligence

We implemented nadaraya waston kernel density and kernel conditional probability estimator using cuda through cupy. It is much faster than cpu version but it requires GPU with high memory.

pip install kde-gpu

Current version
0.1.0
Python requirement
Not declared
License
MIT License
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
13.1 KiB
Release history
1 releases with files
Median release cadence
Not enough dated releases

kde-gpu dependencies

PyPI declares 3 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. numpy >=1.14.0
  2. scipy >=1.0.0
  3. pandas >=0.20.2

Compatibility and release files

kde-gpu publishes 1 wheel and 1 source archive for version 0.1.0. Wheel platform tags: any.

Declared Python classifiers: 3.6.

Metadata completeness

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

Release activity and sources

PyPI lists 1 release with files. The first dated release is ; 1 release falls within the 365 days preceding the latest dated release. The current release files were uploaded on .