genbase 0.1.11

Generation base dependency

Generation base dependency

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Base functions, generation functions and generic wrappers.

© Marcel Robeer, 2021

Module overview

Module	Description
genbase	Readable data representations and meta information class.
genbase.data	Wrapper functions for working with data.
genbase.decorator	Base support for decorators.
genbase.internationalization	i18n internationalization.
genbase.mixin	Mixins for seeding (reproducibility) and state machines.
genbase.model	Wrapper functions for working with machine learning models.
genbase.ui	Exstensible user interfaces (UIs) for genbase dependencies

Installation

Method	Instructions
pip	Install from PyPI via pip3 install genbase.
Local	Clone this repository and install via pip3 install -e . or locally run python3 setup.py install.

Releases

genbase is officially released through PyPI.

See CHANGELOG.md for a full overview of the changes for each version.

Packages using genbase

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text_explainability provides a generic architecture from which well-known state-of-the-art explainability approaches for text can be composed. This modular architecture allows components to be swapped out and combined, to quickly develop new types of explainability approaches for (natural language) text, or to improve a plethora of approaches by improving a single module. The text_explainability package is available through PyPI and fully documented at https://marcelrobeer.github.io/text_explainability/.

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text_explainability can be extended to also perform sensitivity testing, checking for machine learning model robustness and fairness. The text_sensitivity package is available through PyPI and fully documented at https://marcelrobeer.github.io/text_sensitivity/.

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