Support training for latency based anomalies specifically for perf-anomaly

[shashank10456]

Explain what this PR does.

This PR supports Anomaly Detection on fields that use valuesDoubleSketches. We add aggregations and postaggregations which run natively on druid. These sketches are converted to values using these postaggregations and are run on druid. This would enable us to use anomaly detection for inputs using sketches(https://datasketches.apache.org/). For example, latency based anomaly.

Also, I have made few changes to DockerFile and added a patch for Numalogic 0.9.1 to avoid CVE issues. This is important for the perf-anomaly team to avoid moving to Numaflow 1.2.1 and updating all the UDFs and UDSinks. This would help them save lot of time by just upgrading the ML vertices.

[codecov[bot]]

Codecov Report

Attention: Patch coverage is 90.00000% with 1 line in your changes missing coverage. Please review.

Project coverage is 92.17%. Comparing base (f29f771) to head (883a32c). Report is 20 commits behind head on main.

Files with missing lines	Patch %	Lines
numalogic/connectors/_config.py	90.00%	0 Missing and 1 partial :warning:

Additional details and impacted files

@@            Coverage Diff             @@
##             main     #409      +/-   ##
==========================================
- Coverage   93.07%   92.17%   -0.90%     
==========================================
  Files          97       97              
  Lines        4492     4781     +289     
  Branches      387      430      +43     
==========================================
+ Hits         4181     4407     +226     
- Misses        231      276      +45     
- Partials       80       98      +18     

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[qhuai]

Please replace "Explain what this PR does." with the real description & purpose of this PR.