📚 Tecton Quickstart Tutorial
Tecton helps you build and productionize real-time ML models by making it easy to define, test, and deploy features for training and serving.
Let’s see how quickly we can build a real-time fraud detection model and bring it online.
In this tutorial we will:
- Connect to data on S3
- Define and test features
- Generate a training dataset and train a model
- Productionize our features for real-time serving
- Run real-time inference to predict fraudulent transactions
This tutorial is expected to take about 30 minutes (record time for building a real-time ML application 😎).
Some steps will explicitly note to run commands in your terminal.
Be sure to install the Tecton SDK before getting started. You will also need to install the following packages, used for reading data from S3 and to be able to train a model later in this tutorial:
pip install s3fs fsspec scikit-learn
Before you start, run
tecton login [my-account].tecton.ai in your CLI. Be sure
to fill in your organization's Tecton account name.