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

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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 (about 3 years ago)
• Default Branch: main
• Last Pushed: 2021-09-09T09:02:45.000Z (about 3 years ago)
• Last Synced: 2023-10-20T22:05:28.137Z (about 1 year ago)
• Topics: deep-learning, deepforest, machine-learning
• Language: Jupyter Notebook
• Homepage:
• Size: 27.3 KB
• Stars: 39
• Watchers: 2
• Forks: 2
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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## 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! :）