Fully-controllable error generation for tabular data.
Project description
tab_err
tab_err
is an implementation of a tabular data error model that disentangles error mechanism and error type.
It generalizes the formalization of missing values, implying that missing values are only one of many possible error type implemented here.
tab_err
gives the user full control over the error generation process and allows to model realistic errors with complex dependency structures.
The building blocks are ErrorMechanism
s, ErrorType
s, and ErrorModel
s.
ErrorMechanism
defines where the incorrect cells are and model realistic dependency structures and ErrorType
describes in which way the value is incorrect.
Together they build a ErrorModel
that can be used to perturb existing data with realistic errors.
This repository offers (soon) three APIs, low-level, mid-level and high-level.
Examples
For details and examples please check out our Getting Started Notebook.
Where to get it
The source code is currently hosted on GitHub at: https://github.com/calgo-lab/tab_err
Binary installers for the latest released version are available at the Python Package Index (PyPI).
pip install tab-err
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