3 ms·
No pros or cons on deploying models. Seems like that is a significant part of the functional value?
by sails 5y ago
No pros or cons on deploying models. Seems like that is a significant part of the functional value?
- oneoffmk999 5y agoNot my area of expertise. Can’t comment on it either way. But I would tend imagine it’s a strength of Kedro.
- joelschw 5y agoWill point to some experiences open source users have had on this journey https://medium.com/hacking-talent/production-code-for-data-science-and-our-experience-with-kedro-60bb69934d1f https://medium.com/hacking-talent/production-code-for-data-s... https://medium.com/google-cloud/migrate-kedro-pipeline-on-vertex-ai-fa3f2c6f7aad https://medium.com/google-cloud/migrate-kedro-pipeline-on-ve...
- idomi 5y agoWe've built the Ploomber open source tool for that exact reason - true open source! We've been trying to focus on the data scientists, not taking them out of jupyter and definitely making sure they can execute what they want without a dedicated infra/ops person. Check it out! https://github.com/ploomber/ploomber https://github.com/ploomber/ploomber