Factual package intelligence from PyPI

liquidSVM 1.0.1 package intelligence

Support vector machines (SVMs) and related kernel-based learning algorithms are a well-known class of machine learning algorithms, for non- parametric classification and regression. liquidSVM is an implementation of SVMs whose key features are: fully integrated hyper-parameter se

pip install liquidsvm

Current version
1.0.1
Python requirement
Not declared
License
AGPL v3
Distribution type
Includes compiled wheel
Release files
11 (5 wheels, 1 source)
Download size
7.6 MiB
Release history
2 releases with files
Median release cadence
1 days

liquidSVM dependencies

PyPI declares 0 unique dependency rules for this release. Environment markers are shown when supplied by the project.

This release declares no required runtime dependencies in its PyPI metadata.

Compatibility and release files

liquidSVM publishes 5 wheels and 1 source archive for version 1.0.1. Wheel platform tags: macosx_10_7_x86_64, win_amd64.

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 ; 2 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .