Generation base dependency
Project description
Generation base dependency
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. |
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
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/.
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/.
Project details
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