perf: improve logging for MLflow metrics

[anujsinha3]

Change Description

#41 - Improving the MLflow to handle (prevent overriding) metrics logging when running eval() or eval_prompts() with multiple prompts.

Example Run: https://ml.azure.com/experiments/id/e1882f37-87e8-4ff9-930a-7aa050693072/runs/gray_coat_sy48gpw0jc?wsid=/subscriptions/e4f4cccd-ac89-41b8-aae6-896e5a8471e4/resourcegroups/AutoRADoc/providers/Microsoft.MachineLearningServices/workspaces/AutoRAML&tid=f6b6dd5b-f02f-441a-99a0-162ac5060bd2#overview

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[codecov-commenter]

Codecov Report

All modified and coverable lines are covered by tests ✅

Comparison is base (aac9880) 98.65% compared to head (8db2bc0) 98.63%.

Additional details and impacted files

@@            Coverage Diff             @@
##             main      #42      +/-   ##
==========================================
- Coverage   98.65%   98.63%   -0.03%     
==========================================
  Files           8        8              
  Lines         298      292       -6     
==========================================
- Hits          294      288       -6     
  Misses          4        4              

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[carlosgjs]

See inline comment. Can you also add a link to an AzureML run in the PR description? Thx!

[anujsinha3]

Also updated the code to use mlflow.logMetrics() - allows for multiple metrics logging via dictionary instead of log.metric() - which logs only one key-value pair at a time.