GitHub / chasedehan / BoostARoota
A fast xgboost feature selection algorithm
JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/chasedehan%2FBoostARoota
PURL: pkg:github/chasedehan/BoostARoota
Stars: 222
Forks: 38
Open issues: 8
License: mit
Language: Python
Size: 693 KB
Dependencies parsed at: Pending
Created at: almost 8 years ago
Updated at: 4 months ago
Pushed at: over 4 years ago
Last synced at: about 1 month ago
Topics: algorithm, boruta, data-science, datascience, datascientist, dimension-reduction, feature-selection, machine-learning, machine-learning-algorithms, machinelearning, xgboost, xgboost-algorithm