Predict water content at specific pF or matric-head values

Given a fitted swrc_fit object and a new data frame of soil properties, returns predicted volumetric water content at each supplied pF (or matric head) value.

Usage

predict_swrc(object, newdata, pf = NULL, heads = NULL, ...)

Arguments

object: A swrc_fit object returned by fit_swrc().
newdata: A data frame with the same covariate columns used during training (i.e. object$x_inputs). Must have a matric_head column or supply pf directly.
pf: Optional numeric vector of pF values (overrides matric_head in newdata).
heads: Optional numeric vector of matric heads in cm (overrides matric_head in newdata).
...: Ignored.

Value

A numeric vector of predicted theta values (m3/m3), one per row in newdata.

Examples

if (FALSE) { # \dontrun{
if (reticulate::py_module_available("tensorflow")) {
  df   <- prepare_swrc_data(swrc_example, depth_col = "depth")
  fit  <- fit_swrc(df,
                   x_inputs = c("clay", "silt", "bd_gcm3", "soc", "Depth_num"),
                   epochs = 2L, verbose = FALSE)
  pred <- predict_swrc(fit, newdata = df)
}
} # }