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GitHub / microsoft / LightGBM
A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.
JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/microsoft%2FLightGBM
Stars: 16,067
Forks: 3,772
Open Issues: 379
License: mit
Language: C++
Repo Size: 20.6 MB
Dependencies:
34
Created: almost 8 years ago
Updated: 6 days ago
Last pushed: 9 days ago
Last synced: 8 days ago
Commit Stats
Commits: 3368
Authors: 311
Mean commits per author: 10.83
Development Distribution Score: 0.765
More commit stats: https://commits.ecosyste.ms/hosts/GitHub/repositories/microsoft/LightGBM
Topics: data-mining, decision-trees, distributed, gbdt, gbm, gbrt, gradient-boosting, kaggle, lightgbm, machine-learning, microsoft, parallel, python, r
Files
Dependencies
- actions/checkout v1 composite
- re-actors/alls-green v1.2.2 composite
- actions/checkout v3 composite
- dessant/lock-threads v4 composite
- lee-dohm/no-response v0.5.0 composite
- actions/checkout v3 composite
- actions/checkout v3 composite
- re-actors/alls-green v1.2.2 composite
- actions/checkout v3 composite
- actions/checkout v3 composite
- r-lib/actions/setup-pandoc v2 composite
- r-lib/actions/setup-tinytex v2 composite
- re-actors/alls-green v1.2.2 composite
- actions/checkout v3 composite
- actions/checkout v3 composite
- re-actors/alls-green v1.2.2 composite
- actions/checkout v3 composite
- dataclasses python_version < '3.7'
- numpy *
- scipy *