param tweak
normalise = False
change rate to constant
Repeat optimisation and save results
param tweak
param tweak
Make sure all learners have same model selection params
fix for soft impute
random initialisation
more folds
param tweak
switch back to normalising gradients
reuce number of lambdas
Do model selection on randomly selected params
Update to compare gradient descent and other variations on optimisation
increase alpha and sort plots
tweak params
save results
also vary rates
svd start with normalise and constant rate