updated API's to handle FMLearn's algorithm prediction

updated scikit-learn's API calls to handle FMLearn algorithm prediction.

This release also includes features and updates like:

• updated the package name from "fml" to "fmlearn".
• restructures code into multiple files for better maintenance and testing.
• updates the existing functions of fmlearn by removing the function parameter "dataset", by mandating set_dataset() function.
• brings in HTTP response construction features (optional parameter for meta-data).
• brings in HTTP error handling capabilities.

added meta-features for dataset via auto-sklearn

Features introduced in this release:

• added meta-features for dataset via calls to auto-sklearn
• updated debug mode

IJCAI Submission Release 1.0

Features Introduced in this release:

• updated scikit-learn API calls to support model params after update of FMLearn

FML Draft Release v0.2

updated the base URI of FMLearn server after deploying on Heroku

FML Draft Release v0.1

fml-draft-v01

updated best metric retrieval API for min and max metric use-case