https://github.com/nishiwen1214/psforest
Paper of ACML 2020: "PSForest: Improving Deep Forest via Feature Pooling and Error Screening"
https://github.com/nishiwen1214/psforest
deep-learning deepforest machine-learning
Last synced: 11 months ago
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Paper of ACML 2020: "PSForest: Improving Deep Forest via Feature Pooling and Error Screening"
- Host: GitHub
- URL: https://github.com/nishiwen1214/psforest
- Owner: nishiwen1214
- License: mit
- Created: 2021-09-03T13:11:43.000Z (almost 5 years ago)
- Default Branch: main
- Last Pushed: 2021-09-09T09:02:45.000Z (almost 5 years ago)
- Last Synced: 2025-04-03T11:11:12.381Z (about 1 year ago)
- Topics: deep-learning, deepforest, machine-learning
- Language: Jupyter Notebook
- Homepage:
- Size: 27.3 KB
- Stars: 40
- Watchers: 2
- Forks: 2
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
## PSForest: a new variant of the deep forest
The code for the paper ["PSForest: Improving Deep Forest via Feature Pooling and Error Screening"](http://proceedings.mlr.press/v129/ni20a/ni20a.pdf)
## Citation
```
@inproceedings{ni2020psforest,
title={PSForest: Improving Deep Forest via Feature Pooling and Error Screening},
author={Ni, Shiwen and Kao, Hung-Yu},
booktitle={Asian Conference on Machine Learning},
pages={769--781},
year={2020},
organization={PMLR}
}
```
## Requirements
```
xgboost
sklearn
numpy
pandas
memory_profiler
scipy
```
### Please star it, thank you! :）