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FastTrackML Quickstart

Install FastTrackML

With pip

pip install fasttrackml

With a script

On Linux and macOS

curl -fsSL https://fasttrackml.io/install.sh | sh

On Windows

iwr -useb https://fasttrackml.io/install.ps1 | iex

Manually

Download the executable for your platform from the latest release assets. Extract it and then validate your installation with the following command:

./fml --version

Run FastTrackML

Natively

fml server

Via Docker

You can also run FastTrackML in a container via Docker:

docker run --rm -p 5000:5000 -ti gresearch/fasttrackml

Deploy Helm chart

You can also run FastTrackML in a Kubernetes via Helm:

helm install fasttrackml ./helm/fasttrackml

Verification

Verify that you can see the UI by navigating to http://localhost:5000/.

FastTrackML UI

Run a quick test script

To run the test scripts, you need a working Python installation and the Poetry package manager.

# Install mflow and poetry
cd docs/example
poetry install
poetry run python3 minimal.py

After running this script, you should see the following output from http://localhost:5000/aim/:

FastTrackML UI

From here you can check out the metrics and run information to see more details about the run.