Hopsworks Feature Store. The feature store is the central place to store curated features for machine learning pipelines, FSML aims to create content for information and knowledge in the ever evolving feature store's world and surrounding data and AI environment. Hopsworks prevents vendor lock-in by being fully open-source and is currently the most open platform for enterprises. Choosing a Feature Store: Feast vs Hopsworks. 4 weeks ago 5 days ago Markus Schmitt. FEAST is the only standalone open-source feature store, but you have some other options too. Source: Author. Hopsworks is an online platform for the development and operation of Machine Learning (ML) pipelines at scale, based around the industry's first Feature Store for ML. The Hopsworks.ai is the world's first managed feature store for the cloud that provides an open-source and general purpose feature store to design and … Feature#. Hopsworks is an online platform for the development and operation of Machine Learning (ML) pipelines at scale, based around the industry's first Feature Store for ML. The library is environment independent and can be used in two modes: Hopsworks Feature Store is a component of the larger Hopsworks data science platform, while FEAST is a standalone feature store. Use Hopsworks Feature Store if you’re already using the larger Hopsworks data science platform or are open to this. Summary and Roadmap •Hopsworks is a new Data Platform with first-class support for Python / Deep Learning / ML / Data Governance / GPUs -Hopsworks has an open-source Feature Store •Ongoing Work -Online Feature Store -Feature Transformation Library/DSK -Automated Data Provenance -Feature Store Incremental Updates with Hudi on Hive 32/36 33. The Feature Store is a central vault for documented, curated, and access-controlled features. Feature Store Notebooks This page contains example notebooks for Feature Engineering, Feature Ingestion, Feature Selection/Joining, Training Dataset Creating, Model Training, and Model Serving on Hopsworks. Official documentation for Hopsworks and its Feature Store - an open source data-intensive AI platform used for the development and operation of machine learning models at scale. Today, Logical Clocks AB are announcing the release of a Feature Store as part of Hopsworks version 0.8.0. Features are the most granular entity in the feature store and are logically grouped by feature groups.. The library makes creating new features, feature groups and training datasets easy. This post was originally published by Markus Schmitt at Towards Data Science. HSFS is the library to interact with the Hopsworks Feature Store.
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