Set of functions to produce common metrics used in Data Science at Tidepool.
Project description
Data Science Metrics
-- Project Status: Active
Project Intro/Objective
The purpose of this project is to package all common metrics used in data science projects.
Technologies
- Python
- Numpy
- Pandas
Project Description
The intent of this package is to be used throughout the Tidepool Data Science projects to enable standard calculations, that provide domain validations, warnings and exceptions.
Getting Started
Available in pypi at ""
To Deploy from source
- Create a release in github.
- Update version_string in setup.py with the version from step 1.
- Run the pypi_push.sh script.
Tidepool Data Science Team
| Name (with github link) | Tidepool Slack |
|---|---|
| Russ Wilson | @Russ |
| Ed Nykaza | @ed |
| Jason Meno | @jason |
| Cameron Summers | @Cameron Summers |
Release history Release notifications | RSS feed
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| Filename, size Tidepool_Data_Science_Metrics-0.1.1-py3-none-any.whl (8.6 kB) | File type Wheel | Python version py3 | Upload date | Hashes View |
| Filename, size Tidepool Data Science Metrics-0.1.1.tar.gz (6.6 kB) | File type Source | Python version None | Upload date | Hashes View |
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