This PR adds a notebook that explains the properties of different class assignment objectives available for the machine learning data frame analytics classification jobs and gives pointers on when to choose which objective.
It intends to be linked in the "Concepts" section of the documentation and provide users with more insights than it is possible in the scope of "Concepts".
The rendered version of the jupyter notebook can be found here.
This PR adds a notebook that explains the properties of different class assignment objectives available for the machine learning data frame analytics classification jobs and gives pointers on when to choose which objective.
It intends to be linked in the "Concepts" section of the documentation and provide users with more insights than it is possible in the scope of "Concepts".
The rendered version of the jupyter notebook can be found here.
Closes #356.