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GitHub / catboost / catboost
A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.
JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/catboost%2Fcatboost
Stars: 7,775
Forks: 1,151
Open Issues: 511
License: apache-2.0
Language: Python
Repo Size: 1.6 GB
Dependencies:
655
Created: almost 7 years ago
Updated: about 9 hours ago
Last pushed: about 14 hours ago
Last synced: about 5 hours ago
Commit Stats
Commits: 46922
Authors: 1139
Mean commits per author: 41.2
Development Distribution Score: 0.689
More commit stats: https://commits.ecosyste.ms/hosts/GitHub/repositories/catboost/catboost
Topics: big-data, catboost, categorical-features, coreml, cuda, data-mining, data-science, decision-trees, gbdt, gbm, gpu, gpu-computing, gradient-boosting, kaggle, machine-learning, python, r, tutorial
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Dependencies
- Sphinx *
- matplotlib >2
- pydata-sphinx-theme >=0.6.1
- sphinx-panels >=0.5.2
- ubuntu 16.04 build
- nvidia/cuda 10.2-base-ubuntu18.04 build
- ai.catboost:catboost-common 1.2.2
- com.google.code.findbugs:jsr305 3.0.2
- javax.validation:validation-api 1.1.0.Final
- org.slf4j:slf4j-api 1.7.25
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- lightgbm ==2.2.1
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