New features
FPDE is on PyPI. The first public release (v0.1.0) of the fpde package is available.
Install it with python -m pip install fpde.
See the quickstart to run your first explanation.
Prototype-contrast explanations. FPDE builds class-mean prototypes from training data and explains target-versus-rival evidence with Diff-FPDE, Cos-FPDE, and Hyb-FPDE.
Validation helpers. Use FPDEEngine.select_lambda to choose lambda_hyb on held-out validation data.
Use perturbation_curves to compute deletion and insertion curves for an attribution vector.
Updates
Dual license. The package is distributed underMIT OR Apache-2.0.
You may choose either license.
Continuous publishing. Releases flow through automated publishing to PyPI.