Factual package intelligence from PyPI

minlpe 1.0.1 package intelligence

Adaptive sampling based on the minimization of approximation error Lp norm. MaxLpE is a fast adaptive sampling algorithm with accuracy comparable with the best known adaptive sampling methods: TEAD, LIP, MIPT, EIGF, MASA, SFVCT. Its features include sampling time control and para

pip install minlpe

Current version
1.0.1
Python requirement
Not declared
License
GNU Lesser General Public License v3 or later (LGPLv3+)
Distribution type
Pure Python wheel
Release files
1 (1 wheels, 0 source)
Download size
23.0 KiB
Release history
2 releases with files
Median release cadence
753 days

minlpe dependencies

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

  1. numpy >=1.14.3
  2. scikit-learn >=0.20.0
  3. scipy >=1.1.0
  4. numba >=0.38.0
  5. pandas >=0.23.0

Compatibility and release files

minlpe publishes 1 wheel and 0 source archives for version 1.0.1. Wheel platform tags: any.

No version-specific Python classifiers are declared.

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 2 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 .