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How to build ML pipelines with scikit-learn (sklearn) and Union.

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COLAB BUTTON

Build a Machine Learning Pipeline

Project Setup

The quickest way to setup and the run the tutorial is often using a hosted notebook, like Google colab.

COLAB

Or you can follow the steps below to setup the project on your local machine or other environments.

Install Union

pip install union

Sign up for Union account

Serverless is the easiest way to get started with Union. You can sign up for a free account and $30 of credit at Union Serverless. BYOC (Bring Your Own Cloud) is also available for more features and avanced users. Schedule a demo to learn more about Union BYOC.

Read more in the overview of Union Serverless and Union BYOC.

Authenticate to Union from CLI

After you have signed up for Union, you can authenticate to Union from the CLI.

If on Union Serverless union create login --serverless --auth device-flow

If on Union BYOC (Bring Your Own Cloud) union create login --host <union-host-url>

Now your environment is setup to run the project on remotely Union.

Run AI Workflows

Data Training & Evaluation Prediction Actors environment

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