Return data from the backend fit method #835
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What is this:
this fixes: #813. Given we fit differently in different cases the data returned is different in case.
SVM(..., optimization='sgd')
: Returns dictionary containingconverged
andn_iter
wheren_iter
is the number of iterations until convergence.SVM(..., optimization='bgd')
: Returns dictionary containingconverged
,n_iter
andlower_bound
wheren_iter
is as above andlower_bound
is the loss achieved during training.GMM(..., backend='pytorch')
:converged
,lower_bound
andn_epochs
- because the GMM PyTorch backend performs gradient descent over n epochs this value is the number of epochs performed.GMM(..., backend='sklearn')
:converged
,lower_bound
andn_iter
.