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

Project Description
# Pyradigm: PYthon based data structure to improve Dataset's InteGrity in Machine learning workflows
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A Python data structure to encapsulate a machine learning dataset greatly suited for neuroimaging applications (or any other domain), where each sample needs to be uniquely identified with a subject ID (or something similar). Key-level correspondence across data, labels (1 or 2), classnames ('healthy', 'disease') and the related helps maintain data integrity, in addition to easify traceback to original sources from where the features have been originally derived.

This [Pyradigm Example](PyradigmExample.ipynb) notebook illustrates the usage.

Thanks for checking out. Your feedback will be appreciated.
Release History

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This version
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0.3.0.2

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0.3.0.1

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