Clustering metrics and MLflow experiment tracking

[hemajv]

1. Additional clustering metrics to evaluate and compare the clustering behavior of systems for two different days.

   • Modifications made to the codebase: https://github.com/ManageIQ/aiops-insights-clustering/pull/32/files#diff-d0301332bd6fef353ec35837646aa49e
   • (Detailed notebook of the code can be found here: https://gitlab.cee.redhat.com/insights-aiops/modeling/blob/master/use_cases/clustering/metric_comparing.ipynb)

2. Integrating the MLflow experiment tracking template for logging the clustering model metrics. (https://github.com/AICoE/experiment-tracking/tree/master/openshift).

   • Updated instructions in the README for running the clustering model as an mlflow job on OpenShift: https://github.com/ManageIQ/aiops-insights-clustering/pull/32/files#diff-04c6e90faac2675aa89e2176d2eec7d8
   • Added a separate task in the Makefile for the mlflow experiment tracking: https://github.com/ManageIQ/aiops-insights-clustering/pull/32/files#diff-b67911656ef5d18c4ae36cb6741b7965

(Reference: https://github.com/AICoE/experiment-tracking-template, a demo application which shows how this template is being used to run mlflow jobs on OpenShift: )

[durandom]

@hemajv please also add all modifications to the codebase and the Makefile to this PR.

[hemajv]

@durandom Added the changes to the codebase and Makefile.