[BUG]: usage of camelcase for loss functions in `ml/incr/*`

[nakul-krishnakumar]

Description

In continuation to this conversation #13333, we noticed that the packages ml/incr/binary-classification and ml/incr/sgd-regression follow camelCase for mentioning loss functions, where as the current convention is to use kebab-case.

Expected outcome is to refactor all the loss functions from using camelcase to kebabcase.

Related Issues

No response

Questions

No.

Demo

No response

Reproduction

No response

Expected Results

ml/incr/binary-classification

• modifiedHuber -> modified-huber
• squaredHinge -> squared-hinge

ml/incr/sgd-regression

• epsilonInsensitive -> epsilon-insensitive
• squaredError -> squared-error

Actual Results

Version

No response

Environments

Node.js

Browser Version

No response

Node.js / npm Version

No response

Platform

No response

Checklist

• Read and understood the Code of Conduct.
• Searched for existing issues and pull requests.

[nakul-krishnakumar]

cc: @kgryte