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pypi.org : hypergbm
A full pipeline AutoML tool integrated various GBM models
Registry
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Source
- Documentation
- JSON
purl: pkg:pypi/hypergbm
Keywords:
adversarial-validation
, automl
, catboost
, dask
, dask-distributed
, datacleaning
, distributed-training
, ensemble-learning
, fullpipeline
, gbm
, gpu-acceleration
, lightgbm
, preprocessing
, pseudo-labeling
, rapidsai
, semi-supervised-learning
, sklearn
, tabular-data
, xgboost
License: Apache-2.0
Latest release: about 1 year ago
First release: over 4 years ago
Dependent repositories: 1
Downloads: 524 last month
Stars: 347 on GitHub
Forks: 47 on GitHub
Total Commits: 671
Committers: 16
Average commits per author: 41.938
Development Distribution Score (DDS): 0.495
More commit stats: commits.ecosyste.ms
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Last synced: 10 days ago