I am reading article titles that suggest h2o.ai integrates its ML in/with snowflake. https://www.h2o.ai/resources/solution-brief/integration-of-h2o-driverless-ai-with-snowflake/
If I wanted to export a POJO learner like a gbm and have it run in snowflake, is there a clean way to do that? I didn't see any clear directions in the (several) articles I found.
How does that integrate with ML-ops?
One way to integrate models built in H2o.ai is to integrate through Snowflake External Functions.
This is documented at https://docs.h2o.ai/driverless-ai/latest-stable/docs/userguide/snowflake-integration.html
H2o.ai also have (or will have shortly) support to deploy models into Snowflake Java UDFs and it is described in https://www.h2o.ai/blog/h2o-integrates-with-snowflake-snowpark-java-udfs-how-to-better-leverage-the-snowflake-data-marketplace-and-deploy-in-database/