This is a pre-production deployment of Warehouse, however changes made here WILL affect the production instance of PyPI.
Latest Version Dependencies status unknown Test status unknown Test coverage unknown
Project Description

The combination of datasets, questions, and nature of analysis is growing everyday. Data scientists find it hard to keep track of all the different datasets they dealt with, what they did with those datasets, and what they presented to the model-audience (business etc)

pydatasentry package allows auditability of modeling code and data by logging all relevant information for every single model run (e.g., a regression) You could use this for audit past results for correctness, share models and results with peers, search past results to avoid repition of work.

Note that code is very alpha. Expect it to break often. Please try it out and give me feedback/create issues.

Please see docs for detailed documentation.

Release History

Release History

0.1.4

This version

History Node

TODO: Figure out how to actually get changelog content.

Changelog content for this version goes here.

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0.1.3

History Node

TODO: Figure out how to actually get changelog content.

Changelog content for this version goes here.

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Download Files

Download Files

TODO: Brief introduction on what you do with files - including link to relevant help section.

File Name & Checksum SHA256 Checksum Help Version File Type Upload Date
pydatasentry-0.1.4.tar.gz (12.1 kB) Copy SHA256 Checksum SHA256 Source Nov 10, 2015

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