Katonic Deploy 101
The Katonic Deploy 101 tutorial can be downloaded as part of the Examples.
Introduction
Welcome to the Katonic Deploy, the fastest, easiest, and most efficient production ready machine learning system.
This tutorial is created to help you get started with Katonic Deploy right away. We'll start with a brief explanation of how Katonic Deploy works, then will provide a simple binary classification model so you can see it in working.
This guide assumes that you've installed Katonic in your cloud Kubernetes cluster. This can be either:
- Amazon Web Services (AWS)
- Microsoft Azure
- Google Cloud Platform (GCP)
For instructions on setting up your cloud Kubernetes environment, check out the Administrator Documentation for your particular cloud provider.
Introduction to Workspaces
A Katonic Workspace allows you to create and manage a set of models and pipelines. You can assign users to a workspace as either an owner or collaborator.
When working, the first thing you'll do after connecting is either create a workspace or set an existing workspace your current workspace. From that point on, all models uploaded and pipelines created or used will be in the context of the current workspace.