Load a previously saved SWRC model from disk

Reconstructs the CNN1D Keras model from the saved weights and metadata and returns a swrc_fit-compatible list that can be passed to predict_swrc(), predict_swrc_dense(), etc.

Usage

load_swrc_model(dir = "./models/swrc", name = "swrc_model")

Arguments

dir

Directory containing the saved files (default "./models/swrc").

name

Stem name used when saving (default "swrc_model").

Value

A swrc_fit object (without history or param_model).

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)
  save_swrc_model(fit, dir = tempdir(), name = "model_test")
  fit2 <- load_swrc_model(tempdir(), "model_test")
}
} # }