đ Event: Data Validation for Enterprise ML using Great Expectations and Hopsworks Feature Store/ Aug 31
thesequence.substack.com
Defining expectation suites and reusing existing ones Have you ever worked really hard on training an awesome model just to have everything break in production because of a change in ETL logic in a source system? At its core, the feature store needs to provide reliable features to data scientists to build and productionize models. So how can we ensure data written to the feature store is clean and of high quality to avoid garbage in, garbage out situations?
đ Event: Data Validation for Enterprise ML using Great Expectations and Hopsworks Feature Store/ Aug 31
đ Event: Data Validation for Enterprise MLâŚ
đ Event: Data Validation for Enterprise ML using Great Expectations and Hopsworks Feature Store/ Aug 31
Defining expectation suites and reusing existing ones Have you ever worked really hard on training an awesome model just to have everything break in production because of a change in ETL logic in a source system? At its core, the feature store needs to provide reliable features to data scientists to build and productionize models. So how can we ensure data written to the feature store is clean and of high quality to avoid garbage in, garbage out situations?