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)
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)
yshould 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)