Proposal Demo Week 4 #2476
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Proposal Demo Week 4 #2476
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By Jkuo and Vanjav
Josephine Kuo and Vanja Vidmark
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@JosKuo Thanks for the proposal, it's relevant for this week's topic. Looking forward to it. Make sure to scope the demo within the DevOps domain. |
javierron
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contributions/demo/week4/jkuo-vanjav/README.mdAssignment Proposal
Title
Feast in MLOps
Names and KTH ID
Deadline
Category
Description
We will demonstrate how to use the feature store “Feast”.
We will showcase how to deploy a local feature store, build a training set using time series features and how to retrieve training data by getting historical data. This solves the problem of “point in time join” which is the problem of getting features that are accurate at a specific point in time.
Relevance
Feast is an open-source feature store designed for managing and serving machine learning features. It helps streamline the process of feature engineering and provides a centralized repository for storing and managing features used in machine learning models.