A matrix factorization that is trained with standard SGD on all features at the same time, in contrast to ExpectationMaximizationFactorizer, which learns feature by feature.
Additionally to the free features it models a rating bias for each user and item.
|Status||Resolved [ 5 ]||Closed [ 6 ]|
|Fix Version/s||0.8 [ 12320153 ]|
|Affects Version/s||0.7 [ 12319261 ]|
|Status||Patch Available [ 10002 ]||Resolved [ 5 ]|
|Resolution||Fixed [ 1 ]|
|Comment||[ completely new file ]|
|Status||Open [ 1 ]||Patch Available [ 10002 ]|
|Field||Original Value||New Value|
|Assignee||Sean Owen [ srowen ]||Sebastian Schelter [ ssc ]|