This PR adds a notebook explains the properties of different loss functions available for the machine learning data frame analytics regression jobs and give pointers on when to choose which loss function.
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".
This PR adds a notebook explains the properties of different loss functions available for the machine learning data frame analytics regression jobs and give pointers on when to choose which loss function.
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".
Closes #330.