pipelines visualization #50

Supports: kubernetes

Deploy this charm on Kubernetes with the CLI. Find out how by reading the docs.

Description

Machine learning (ML) toolkit that is dedicated to making deployments of ML workflows on Kubernetes simple, portable, and scalable.


Kubeflow Pipelines API Operator

Overview

This charm encompasses the Kubernetes Python operator for Kubeflow Pipelines API (see CharmHub).

The Kubeflow Pipelines API operator is a Python script that wrap the latest released version of KFServing, providing lifecycle management and handling events such as installing, upgrading, integrating, and removing.

Install

To install Kubeflow Pipelines API, run:

juju deploy kfp-api

For more information, see https://juju.is/docs


Configuration

http-port
(string) HTTP port
8888