condo 0.8.0

Description:

condo 0.8.0

condo-adapter



ConDo Adapter performs Confounded Domain Adaptation, which corrects for
batch effects while conditioning on confounding variables.
We hope it sparks joy as you clean up your data!
Using and citing this toolbox
If you use this toolbox in your research and find it useful, please cite ConDo
using the following reference to our arXiv preprint:
In Bibtex format:
@misc{https://doi.org/10.48550/arxiv.2203.12720,
doi = {10.48550/ARXIV.2203.12720},
url = {https://arxiv.org/abs/2203.12720},
author = {McCarter, Calvin},
title = {Towards Backwards-Compatible Data with Confounded Domain Adaptation},
publisher = {arXiv},
year = {2022},
}

Installation
Installation from pip
You can install the toolbox through PyPI with:
pip install condo

Note: If you have issues with importing torchmin, you may need to install from source, as shown below. Or you can try re-installing pytorch-minimize from source.
Installation from source
After cloning this repo, install the dependencies on the command-line via:
pip install -r requirements.txt

In this directory, run
pip install -e .

Usage
Import ConDo and create the adapter:
import condo
condoer = condo.ConDoAdapter()

Try using it:
import numpy as np
X_T = np.sort(np.random.uniform(0, 8, size=(100, 1)))
X_S = np.sort(np.random.uniform(4, 8, size=(100, 1)))
Y_T = np.random.normal(4 * X_T + 1, 1 * X_T + 1)
Y_Strue = np.random.normal(4 * X_S + 1, 1 * X_S + 1)
Y_S = 5 * Y_Strue + 2
condoer.fit(Y_S, Y_T, X_S, X_T)
Y_S2T = condoer.transform(Y_S)
print(f"before ConDo: {np.mean((Y_S - Y_Strue) ** 2):.3f}")
print(f"after ConDo: {np.mean((Y_S2T - Y_Strue) ** 2):.3f}")

More thorough examples are provided in the examples directory.
Development
Testing
In this directory run
pytest

Code formatting
The Uncompromising Code Formatter: Black
black {source_file_or_directory}
Install it into pre-commit hook to always commit well-formatted code:
pre-commit install
License Information
This work is licensed under a
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.