Ecosyste.ms: Packages
An open API service providing package, version and dependency metadata of many open source software ecosystems and registries.
pypi.org : mlrl-common
Provides common modules to be used by different types of multi-label rule learning algorithms
Registry
-
Source
- Documentation
- JSON
purl: pkg:pypi/mlrl-common
Keywords: machine learning, scikit-learn, multi-label classification, rule learning, gradient-boosting, machine-learning, multilabel-classification, rule-learning
License: MIT
Latest release: 28 days ago
First release: over 2 years ago
Dependent packages: 3
Dependent repositories: 1
Downloads: 327 last month
Stars: 0 on GitHub
Forks: 0 on GitHub
See more repository details: repos.ecosyste.ms
Last synced: 28 days ago
mlrl-boomer 0.10.0
A scikit-learn implementation of BOOMER - an algorithm for learning gradient boosted multi-label ...7 versions - Latest release: 28 days ago - 1 dependent package - 1 dependent repositories - 285 downloads last month - 0 stars on GitHub - 1 maintainer
mlrl-seco 0.10.0
A scikit-learn implementation of a separate-and-conquer multi-label rule learning algorithm1 version - Latest release: 28 days ago - 1 dependent package - 0 stars on GitHub - 1 maintainer
mlrl-testbed 0.10.0
Provides utilities for the training and evaluation of multi-label rule learning algorithms7 versions - Latest release: 29 days ago - 1 dependent repositories - 39 downloads last month - 0 stars on GitHub - 1 maintainer