zingg

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one frequent use case we encounter with customers is adding geospatial data types and matching within those. for example a point belongs to a building or a lot. we should...

sonalgoyal

We need to provide the right signals to the user in terms of how the model is converging and how it is performing on the training. right now it is...

sonalgoyal

**Is your **feature request** related to a problem? Please describe.** Marked recorded are stored as individual Parquet files. Parquet is an "immutable" binary format and difficult to edit and view...

tomdavidson

First Class CLI (UX)

1

**Is your feature request related to a problem? Please describe.** Zingg is a bit magical to me. Learning Spark and different strategies to cluster the entities is to be solved...

tomdavidson

Salesforce integ

1

test and publish

sonalgoyal

data preparation - tagging

2

Matching can be greatly improved if we can segment and tag individual attributes, for example in address. check if we can use libpostal or build somethign similar which is generic....

sonalgoyal

Snowpark doesnt have ready to use ml and graph libs..investigate what we can build or use.

sonalgoyal

Many er use cases warrant real time - see how we can do that

sonalgoyal

revisit logging

2

Current logs do not print locations or names of pipes for training and test data etc making it difficult to understand things from user provided logs.

sonalgoyal

Load Zingg jar in Maven so that it can be picked up directly by Databricks

5

Databricks can load Maven jars directly, https://kb.databricks.com/libraries/maven-library-version-mgmt.html - so let us publish there and let users pick it up instead of manually copying

sonalgoyal