Predict function for a QRN_seq fitted object

Usage

QRN_seq_predict(
  fit_qrn_ts,
  X,
  Y,
  q_level = fit_qrn_ts$interm_lvl,
  crop_predictions = FALSE,
  device = default_device()
)

fit_qrn_ts: Fitted "QRN_seq" object.
X: Matrix of covariates to predict the corresponding response's conditional quantiles.
Y: Response variable vector corresponding to the rows of X.
q_level: Optional, checks that q_level == fit_qrn_ts$interm_lvl.
crop_predictions: Whether to crop out the fist seq_len observations (which are NA) from the returned matrix.
device: (optional) A torch::torch_device(). Defaults to default_device().

Matrix of size nrow(X) times 1

(or nrow(X)-seq_len times 1 if crop_predictions) containing the conditional quantile estimates of the corresponding response observations.