Describe the bug
Using a time dimension on a runningTotal measure on Snowflake mixes quoted and unquoted columns in the query. This fails the query, because Snowflake has specific rules about quoted columns. Specifically:

• All unquoted column names are treated as upper case
• Quoted column names are case sensitive.

So "date_from" <> date_from

To Reproduce
Steps to reproduce

At this moment relu_layer op doesn't allow threshold configuration, and legacy RELU op allows that.
We should add configuration option to relu_layer.

Feature request

Overview

Currently, the DELETE operation returns an empty result. It would be more useful if it returned the number of deleted rows.

Motivation

The number of deleted rows is an obvious metric that users would want from a delete operation.

Further details

Currently, DeleteCommand.scala is explicitly returning an empty DataFrame [here](https://g

Problem:

The current log will output something like val_function_0 while it should be val_mean_squared_error_0.

Solution:

"val/{}_{}".format(type(metric).__name__, i) use the name of the type of metric (metric is an instance of torchmetrics.metric.Metric so the type of it is function), that's why the output looks like val_function_0. It should use the name of the metri

Describe the bug
A clear and concise description of what the bug is.

To Reproduce
Steps to reproduce the behavior, code snippets encouraged

Expected behavior
A clear and concise description of what you expected to happen.

Info (please complete the following information):

• SynapseML Version: [e.g. v0.17]
• Spark Version [e.g. 2.4.3]
• Spark Platform [e.g. Databric