#' Predict Function for SM.rnn Class
#'
#' Simulation of \ifelse{html}{\out{ε<sub>b</sub>}}{\eqn{\epsilon_b}{ASCII}} based on the new
#' \ifelse{html}{\out{ε<sub>p</sub>}}{\eqn{\epsilon_p}{ASCII}} and
#' \ifelse{html}{\out{σ<sub>b</sub>}}{\eqn{\sigma_b}{ASCII}} according to the pattern captured by
#' SM.rnn model.
#'
#'
#' @param object An SM.rnn class.
#' @param sigb,epsp A n-dimensional numeric vector of electrical conductivity of bulk soil measures and
#' electrical permitivity of pore water measures.
#'
#' @section Note:
#' Before the prediction is applied, the data will be preprocessed according to the preprocessed method
#' defined in the SM.rnn class.
#' @include internal_predict.R
#' @export RNN_predict
RNN_predict <- function(object, sigb, epsp){
predict <- .SM.predictRNN(object, sigb, epsp)
predict
}
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