Skip to main content

A collection of ML algorithms for Compositional Data Analysis

Project description


coda-to-end is a Python package which includes several end to end algorithms for Compositional Data Analysis (CoDA).

The user inputs the compositional data and the feature vector (either real numbers for regression, or class indices for classification).

For regression problems, the CodaRegress class is used, while classification problems will call the CodaClass class.

Project details

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Files for coda-to-end, version 0.1.0
Filename, size File type Python version Upload date Hashes
Filename, size coda_to_end-0.1.0-py3-none-any.whl (6.7 kB) File type Wheel Python version py3 Upload date Hashes View
Filename, size coda_to_end-0.1.0.tar.gz (3.7 kB) File type Source Python version None Upload date Hashes View

Supported by

Pingdom Pingdom Monitoring Google Google Object Storage and Download Analytics Sentry Sentry Error logging AWS AWS Cloud computing DataDog DataDog Monitoring Fastly Fastly CDN DigiCert DigiCert EV certificate StatusPage StatusPage Status page