Skip to main content

test

Project description

Documentation Status

Analytika


ML-Flow-Client

The simple insurance model building tool for rapid development and deployment.

Description

ML-Flow-Client is a platform to simplefy machine learning development ofr insurance companies.

Quickstart

Install using pip

Install MLflow from PyPI via ml-flow-client

Documentation

Official documentation for Ml-Flow-Clien can be found at https://ml-flow-py-client.readthedocs.io/en/latest/

Note

This project has been set up using PyScaffold 3.3.1. For details and usage information on PyScaffold see https://pyscaffold.org/.

Project details


Download files

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

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distribution

ml_flow_client-0.2.12-py2.py3-none-any.whl (7.0 kB view hashes)

Uploaded Python 2 Python 3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page