Evaluate a fitted QRNN model or ensemble of models, resulting in a list containing the predicted quantiles.
covariate matrix with number of rows equal to the number of samples and number of columns equal to the number of variables.
list containing QRNN input-hidden and hidden-output layer weight matrices and other parameters from
a list with number of elements equal to that of
parms, each containing a column matrix of predicted quantiles.
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