semisupervised method where one has defined classificationslabels along w the training data For the moment let ' s say this case . My question is wether you can give feedback for features independently of each other . Like You got feature a right e . g . it classified something as the correct shape , but feature b wrong e . g . e . g . it classified the same object as the wrong color <| sep |> We are Borg . You will be assimilated . Resistance is futile . <| sep |> My bad bro . I got autocorrected because I have been using the term ZiS recently . I meant to type ZnS . <| sep |> Just make sure you ask for signature or tell them to hold at the warehouse <| sep |> Even my cat is laughing on the floor . Let me know when your cat would create a computer game . It ' s all so easy to count years when you ' re not the one doing it . you go and make even most primite game possible , and you ' ll learn very quickly that making games is a very , very time consuming activity . Especially for small teams . Me , i made one game when i was very , very young programmer . It was basically a most primitive version of arkanoid just two boards and a ball , borders of the screen , and absolutely nothing else . Written in old Pascal . Even that totally boring and tiny game already had a dozen problems with it , to be solved in code before the thing could be properly played even for a minute . So , that cat of yours ? Euthanaze it , seems it ' s real real sick . Why let the poor animal suffer completely nonprovoked laughter which kicks it off its paws . She ' s probably suffering too much ! P