Skip to main content

A system to manage machine learning models

Project description

A python client for working with ModelDB machine learning management system.

This library makes it easy for users of the ModelDB ML management system to automatically catalog models built with scikit-learn.

ModelDB is an end-to-end system for managing machine learning models. It ingests models and associated metadata as models are being trained, stores model data in a structured format, and surfaces it through a web-frontend for rich querying. ModelDB runs on Python 2.X and 3.X and can be used with any ML environment via the ModelDB Light API.

Quick start

Install

You can install it using pip directly from PyPI:

pip install modeldb

Custom Configuration

Once installed, you can create a custom syncing scheme setup by typing:

python -m modeldb create_config

Unless an alternative syncing scheme is specialized, modeldb will use the packaged syncer.json defaults.

Use

This library requires a connection to a ModelDB server to work. You can see the getting started docs here.

Additional documentation on the light_api and scikit-learn client is also available.

Project details


Release history Release notifications

This version
History Node

0.0.1a30

History Node

0.0.1a29

History Node

0.0.1a7

History Node

0.0.1a6

History Node

0.0.1a5

History Node

0.0.1a4

History Node

0.0.1a3

History Node

0.0.1a2

History Node

0.0.1a1

Download files

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

Filename, size & hash SHA256 hash help File type Python version Upload date
modeldb-0.0.1a30.tar.gz (66.2 kB) Copy SHA256 hash SHA256 Source None Feb 8, 2018

Supported by

Elastic Elastic Search Pingdom Pingdom Monitoring Google Google BigQuery Sentry Sentry Error logging CloudAMQP CloudAMQP RabbitMQ AWS AWS Cloud computing Fastly Fastly CDN DigiCert DigiCert EV certificate StatusPage StatusPage Status page