Skip to main content

A library to read and report MLApp statistics

Project description


ParallelM's MLOps API Documentation

The ParallelM mlops library provides users the ability to instrument their machine learning programs and components to report various kinds of statistics into MCenter. It also provides an API to query for statistics and objects generated by programs running in the same MLApp.

mlops is currently supported for PySpark and Python.

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 ml-ops, version 1.2.1
Filename, size File type Python version Upload date Hashes
Filename, size ml_ops-1.2.1-py2-none-any.whl (150.0 kB) File type Wheel Python version py2 Upload date Hashes View
Filename, size ml_ops-1.2.1-py3-none-any.whl (150.0 kB) File type Wheel Python version py3 Upload date Hashes View
Filename, size ml-ops-1.2.1.tar.gz (105.4 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