Readme
Sliceline is a Python library for fast slice finding for Machine Learning model debugging.
It is an implementation of SliceLine: Fast, Linear-Algebra-based Slice Finding for ML Model Debugging <https://mboehm7.github.io/resources/sigmod2021b_sliceline.pdf>__,
from Svetlana Sagadeeva and Matthias Boehm of Graz University of
Technology.
Given an input dataset X and a model error vector errors,
SliceLine finds the top slices in X that identify where a ML model
performs significantly worse.
You can use sliceline as follows:
.. code:: python
from sliceline.slicefinder import Slicefinder
slice_finder = Slicefinder()
slice_finder.fit(X, errors)
print(slice_finder.top_slices_)
X_trans = slice_finder.transform(X)
We invite you to check the demo notebooks <https://github.com/DataDome/sliceline/blob/main/notebooks>__
for a more thorough tutorial:
Sliceline is intended to work with Python 3.7 or above. Installation
can be done with pip:
.. code:: sh
pip install sliceline
There are wheels available <https://pypi.org/project/sliceline/#files>__ for Linux,
MacOS, and Windows, which means that you most probably won’t have to
build Sliceline from source.
You can install the latest development version from GitHub as so:
.. code:: sh
pip install git+https://github.com/DataDome/sliceline --upgrade
Or, through SSH:
.. code:: sh
pip install git+ssh://git@github.com/datadome/sliceline.git --upgrade
Documentation <https://sliceline.readthedocs.io/en/stable/>__Package releases <https://pypi.org/project/sliceline/#history>__SliceLine paper <https://mboehm7.github.io/resources/sigmod2021b_sliceline.pdf>__Feel free to contribute in any way you like, we’re always open to new ideas and approaches.
Open a discussion <https://github.com/DataDome/sliceline/discussions/new>__
if you have any question or enquiry whatsoever. It’s more useful to
ask your question in public rather than sending us a private email.
It’s also encouraged to open a discussion before contributing, so
that everyone is aligned and unnecessary work is avoided.open an issue <https://github.com/DataDome/sliceline/issues/new/choose>__ if
you think you’ve spotted a bug or a performance issue.Please check out the contribution guidelines <https://github.com/DataDome/sliceline/blob/main/CONTRIBUTING.md>__
if you want to bring modifications to the code base.
Sliceline is free and open-source software licensed under the 3-clause BSD license <https://github.com/DataDome/sliceline/blob/main/LICENSE>__.
FAQs
✂️ Fast slice finding for Machine Learning model debugging.
We found that sliceline demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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