Amith Adiraju

@ClarenceTee93 I have the same question, hope @eriklindernoren could shed some light on it. I've been long following the **_Hands On Machine Learning with ..._** by _Aurelien Geron_ .. and...

Hey @HenryNebula , My question is in some ways related to the value loss, so I felt I should comment here, rather than creating a new issue. The question is...

@marcelogrsp I think, it depends on use case. In my case, I'm more concerned about Work history and education, so personal detail would be meta in my case.

Great question @PrhldK I'm also interested in the same topic. It is not clear from Feasts' documentation on: 1) How ( or If ) Feast versions any of our meta...

> @NhuanTDBK Using DeltaLake for data versioning makes sense. But I'm little confused on what "versioning" does a feature store do in general , or may be Feast ? Does...

You could also try to to just apply L2 regularization directly than a two-step process as in tf 1.15, I did this to make it work on tf 2.7.3: `from...

@adchia would love to use this if completed, since this is one of major pain points for us. Could you pls provide link for docs on how to use this...

> Oh woops I had misread this one. Yeah the SparkOfflineStore doesn't connect to Snowflake yet. Feel free to contribute this and I can cut it in a new patch...

> @amithadiraju1694 this is the alternative you tried correct but found it slow? https://github.com/feast-dev/feast/pull/3358 Yup, that's the one I tried.

> @amithadiraju1694 this should be possible to do I tried doing it in SnowflakeRetrievalJob , by sending connection options to spark and using spark connector. It couldn't find feast_df_***** object...