Devnet
Unofficial pytorch implementation of deviation network for table data.
paper of deviation network
https://arxiv.org/abs/1911.08623
original keras implementation by authors of the paper is here
https://github.com/GuansongPang/deviation-network
Setup
install poetry followed by
https://python-poetry.org/docs/master/#installing-with-the-official-installer
install dependencies
poetry install
Usage
train model with train/eval.csv under dataroot
poetry python src/main.py dataroot=data/debug epochs=10 eval_interval=10
predict score and output result
poetry python src/main.py predict_only=true predict_input=data/debug/eval.csv model_path=data/debug/models/example.pth
Release files for devnet 0.1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| devnet-0.1.0.tar.gz | 6.5 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| devnet-0.1.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 13.2 kB
Release files / devnet-0.1.0.tar.gz
| Download URL | devnet-0.1.0.tar.gz |
|---|---|
| Size | 6.5 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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poetry/1.1.11 CPython/3.7.13 Darwin/20.6.0
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Release files / devnet-0.1.0-py3-none-any.whl
| Download URL | devnet-0.1.0-py3-none-any.whl |
|---|---|
| Size | 6.7 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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poetry/1.1.11 CPython/3.7.13 Darwin/20.6.0
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