https://github.com/wangg12/deepboost.jl
deep boosting algorithm implementation in Julia
https://github.com/wangg12/deepboost.jl
deep-boosting-algorithm julia
Last synced: 8 months ago
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deep boosting algorithm implementation in Julia
- Host: GitHub
- URL: https://github.com/wangg12/deepboost.jl
- Owner: wangg12
- License: mit
- Created: 2016-12-26T08:54:44.000Z (over 9 years ago)
- Default Branch: master
- Last Pushed: 2019-01-18T06:34:29.000Z (over 7 years ago)
- Last Synced: 2024-12-28T14:43:41.645Z (over 1 year ago)
- Topics: deep-boosting-algorithm, julia
- Language: Julia
- Size: 11.7 KB
- Stars: 3
- Watchers: 3
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# DeepBoost.jl
deep boosting algorithm implementation in Julia
Adapted from:
* google's original c++ implementation: [https://github.com/google/deepboost](https://github.com/google/deepboost)
* dmarcous's c++ and R implementation [https://github.com/dmarcous/CRAN_deepboost](https://github.com/dmarcous/CRAN_deepboost).
### Examples
See `ionosphere_deepboost.jl` for detailed usage, it should be easy to understand.
Note that this work can only do binary classification.
For multi-class deep boosting, please refer to this paper:
[Vitaly Kuznetsov, Mehryar Mohri, Umar Syed, Multi-Class Deep Boosting, NIPS'14](https://papers.nips.cc/paper/5514-multi-class-deep-boosting)
### Reference Paper
See this paper for details
[Corinna Cortes, Mehryar Mohri, Umar Syed, Deep Boosting, JMLR'14](http://www.jmlr.org/proceedings/papers/v32/cortesb14.html)
### Credits
Written and maintained by:
[Gu Wang](https://github.com/wangg12)
[Yu Yang](https://github.com/yangyu12)