You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
One usecase where I reach out to NN is when I require to predict multiple outcomes. This means y should be allowed to be a matrix ($d \times n$) where $d$ is the number of outcomes and $n$ is the number of rows of X (dataframe of predictors). (Idea is to not reduce this to $d$ different models)
I like the brulee API. Is there a possibility extending it to predict multiple outcomes? (assuming user provides the loss function)
The text was updated successfully, but these errors were encountered:
One usecase where I reach out to NN is when I require to predict multiple outcomes. This means$d \times n$ ) where $d$ is the number of outcomes and $n$ is the number of rows of $d$ different models)
y
should be allowed to be a matrix (X
(dataframe of predictors). (Idea is to not reduce this toI like the brulee API. Is there a possibility extending it to predict multiple outcomes? (assuming user provides the loss function)
The text was updated successfully, but these errors were encountered: