Hello!
I generated several DNN model using the "learn R deep Neural net model" component and they worked fine.
I am interested in generating some Categorical DNN models but with more than two categories ( instead of active vs actives as example shows), would very much appreciate your help on this. ( did not find the option for number of category, also, should I pre-define/separate each sets or are there any way to automatically separate them based certain property ( e.g. IC50)?
Many thanks!
--Wei
I generated several DNN model using the "learn R deep Neural net model" component and they worked fine.
I am interested in generating some Categorical DNN models but with more than two categories ( instead of active vs actives as example shows), would very much appreciate your help on this. ( did not find the option for number of category, also, should I pre-define/separate each sets or are there any way to automatically separate them based certain property ( e.g. IC50)?
Many thanks!
--Wei
