Python-based data structure to improve handling of datasets in machine learning workflows

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  • Author: Pradeep Reddy Raamana
  • Tags data, dataset, learning, machine, provenance, python, structure, test, workflow
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Project description

CSVs suck. Upgrade your life with pyradigm for research data management in biomedical and machine learning applications

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Documentation

API and usage : http://raamana.github.io/pyradigm/

Demo notebook (no setup required) :

Binder

Schematic

The illustration below describes the full functionality of pyradigm in the latest version 0.6, for which docs will be updated shortly (see below illustration for docs on previous versions):

flyer.png

The value of pyradigm is even more appreciated in the management of multi-modal feature sets, which becomes more efficient and easier to manage.

multimodalflyer.png

Usage/demo notebook (no setup required) :

Binder

Documentation : http://raamana.github.io/pyradigm/

Name : pyradigm roughly stands for PYthon based data structure to improve Dataset's InteGrity in Machine learning workflows.

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