This is the Linux app named Feast whose latest release can be downloaded as v0.34.1.zip. It can be run online in the free hosting provider OnWorks for workstations.
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SCREENSHOTS
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Feast
DESCRIPTION
Feast (Feature Store) is an open source feature store for machine learning. Feast is the fastest path to manage existing infrastructure to productionize analytic data for model training and online inference. Make features consistently available for training and serving by managing an offline store (to process historical data for scale-out batch scoring or model training), a low-latency online store (to power real-time prediction), and a battle-tested feature server (to serve pre-computed features online). Avoid data leakage by generating point-in-time correct feature sets so data scientists can focus on feature engineering rather than debugging error-prone dataset joining logic. This ensure that future feature values do not leak to models during training. Decouple ML from data infrastructure by providing a single data access layer that abstracts feature storage from feature retrieval, ensuring models remain portable as you move from training models to serving models, from batch model
Features
- Make features consistently available for training and serving
- Avoid data leakage by generating point-in-time correct feature sets
- Decouple ML from data infrastructure
- Register your feature definitions and set up your feature store
- Explore your data in the web UI (experimental)
- Build a training dataset
Programming Language
Python
This is an application that can also be fetched from https://sourceforge.net/projects/feast.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.
