Pull Embedded ML Code Out of Ceph Upstream and Create Standalone Module

[chauhankaranraj]

As a data scientist,
I want to create a public python module to run inference using the models trained in this project,
So that these disk health prediction models are accessible and usable by a wider audience than just ceph users.

As a ceph product manager,
I want to use a separate, standalone python module for disk health prediction,
So that data preprocessing, feature selection, model selection, and other steps of the ML pipeline are decoupled from the ceph codebase. The ceph manager daemon should be able to just pass raw data to this module, and get health predictions in return.

Acceptance Criteria

• standalone python module created
• delivery pipeline is up and running on git tag creation @harshad16
• python module delivered to pypi.org/AICoE/ @harshad16

[goern]

/kind feature