Ecosyste.ms: Awesome

An open API service indexing awesome lists of open source software.

Awesome Lists | Featured Topics | Projects

https://github.com/ctuning/ck-mlflow

Collective Knowledge components and workflows for MLFlow:
https://github.com/ctuning/ck-mlflow

Last synced: about 2 months ago
JSON representation

Collective Knowledge components and workflows for MLFlow:

Awesome Lists containing this project

README

        

# Collective Knowledge repository for MLFlow

**All CK components can be found at [cKnowledge.io](https://cKnowledge.io) and in [one GitHub repository](https://github.com/ctuning/ck-mlops)!**

[![compatibility](https://github.com/ctuning/ck-guide-images/blob/master/ck-compatible.svg)](https://github.com/ctuning/ck)
[![automation](https://github.com/ctuning/ck-guide-images/blob/master/ck-artifact-automated-and-reusable.svg)](http://cTuning.org/ae)
[![workflow](https://github.com/ctuning/ck-guide-images/blob/master/ck-workflow.svg)](http://cKnowledge.org)

[![License](https://img.shields.io/badge/License-BSD%203--Clause-blue.svg)](https://opensource.org/licenses/BSD-3-Clause)

## Introduction

This repository provides high-level, portable and customizable workflows
for [MLFlow](http://mlflow.org).
It is a part of our long-term community initiative
to unify, abstract and automate AI, ML and systems R&D
across diverse platforms, frameworks, models and data sets
using [Collective Knowledge Framework (CK)](http://cKnowledge.org),

## Minimal CK installation

Please, follow [this guide](https://github.com/ctuning/ck#installation) to install CK.

## Install MLFlow via CK

```
$ ck pull repo:ck-mlflow
$ ck install package:mlflow-github
```

## Use MLFlow via CK

```
$ ck virtual env --tags=mlflow
$ mlflow
```

## Feedback

* [CK community](https://github.com/ctuning/ck/wiki/Contacts).