We are interested in regression where both input and output vectors are
multivariate, in particular linear regression. We know that there is a
linear regression function in Weka that only accepts a single value as the
output. Although we could train a single-output regressor for each output
dimension, this would be very inefficient. We also found a RBFRegressor
function that does RBF regression but again with a single output. Is there
any function for learning linear or nonlinear regression in Weka that
accepts a vector as the output instead of a single value?
We are new to Weka so apologies if we are missing something obvious, but
we couldn't find it in the Weka documentation, textbook, or the web.
multivariate, in particular linear regression. We know that there is a
linear regression function in Weka that only accepts a single value as the
output. Although we could train a single-output regressor for each output
dimension, this would be very inefficient. We also found a RBFRegressor
function that does RBF regression but again with a single output. Is there
any function for learning linear or nonlinear regression in Weka that
accepts a vector as the output instead of a single value?
We are new to Weka so apologies if we are missing something obvious, but
we couldn't find it in the Weka documentation, textbook, or the web.