Dimension reduction algorithms using PCA for the MLExchange platform
Set up a conda environment and install requirements:
conda create -n mlex_dimension_reduction_pca python=3.11
conda activate mlex_dimension_reduction_pca
pip install .An example execution script is provided. To run it, first create a .env file based on .env.example, then run /example_run.sh.
If you are developing this library, there are a few things to note.
- Install development dependencies:
pip install .
pip install ".[dev]"
- Install pre-commit This step will setup the pre-commit package. After this, commits will get run against flake8, black, isort.
pre-commit install
- (Optional) If you want to check what pre-commit would do before commiting, you can run:
pre-commit run --all-files
- To run test cases:
python -m pytest
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