Factual package intelligence from PyPI

fastsparsegams 0.2.0 package intelligence

fastSparseGAMs is a Python package that offers an efficient framework for solving L0-regularized learning problems in sparse generalized additive models (GAMs). Leveraging the L0Learn package, this package introduces two novel algorithms, namely quadratic cuts and dynamic feature

pip install fastsparsegams

Current version
0.2.0
Python requirement
>=3.7
License
MIT
Distribution type
Includes compiled wheel
Release files
15 (15 wheels, 0 source)
Download size
85.4 MiB
Release history
3 releases with files
Median release cadence
337 days

fastsparsegams dependencies

PyPI declares 6 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. numpy >=1.19.0
  2. scipy >=1.0.0
  3. pandas >=1.0.0
  4. matplotlib

Compatibility and release files

fastsparsegams publishes 15 wheels and 0 source archives for version 0.2.0. Wheel platform tags: macosx_11_0_arm64, manylinux_2_17_x86_64.manylinux2014_x86_64, win_amd64.

Declared Python classifiers: 3.10, 3.7, 3.8, 3.9.

Release activity and sources

PyPI lists 3 releases 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 . The preceding dated release was .