Installation

Install FPDE in the Python environment where you train or run your classifier. The PyPI distribution name and import package are both fpde.

Requirements

FPDE uses class probabilities for model-driven workflows. Pass a fitted classifier that implements predict_proba and exposes classes_.

python -m pip install fpde

uv add fpde

import fpde
from fpde import FPDEEngine

print(FPDEEngine)

If the import succeeds, you are ready to run the quickstart.

Clone the source repository and install the package in editable mode.

git clone https://github.com/fpde-xai/fpde.git
cd fpde
python -m pip install -e .

Run the package tests from the source checkout.

python -m pytest

Keep documentation examples aligned with the stable PyPI release unless you explicitly document a development checkout.

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