Return default Norouzi et al. (2025) loss weights (lambdas)

Table 1 of Norouzi et al. (2025) defines six loss-weight hyperparameters. This function returns them as a named list that can be passed to fit_swrc() and compute_physics_loss().

Usage

norouzi_lambdas(config = c("norouzi", "smooth"))

Arguments

config: Character string; either "norouzi" (exact replication, default) or "smooth" (lambda3 = 10 for a smoother dry-end).

Value

A named list:

lambda_wet: Weight for wet-end data loss (lambda1 = 1).
lambda_dry: Weight for dry-end data loss (lambda2 = 10).
lambda3: S1 dry-end linearity (lambda3 = 1 or 10).
lambda4: S2 non-negativity at pF0 (lambda4 = 1000).
lambda5: S3 non-positivity at pF1 (lambda5 = 1000).
lambda6: S4 saturated-plateau flatness (lambda6 = 1).

Examples

norouzi_lambdas()
#> $lambda_wet
#> [1] 1
#> 
#> $lambda_dry
#> [1] 10
#> 
#> $lambda4
#> [1] 1000
#> 
#> $lambda5
#> [1] 1000
#> 
#> $lambda6
#> [1] 1
#> 
#> $lambda3
#> [1] 1
#> 
norouzi_lambdas("smooth")
#> $lambda_wet
#> [1] 1
#> 
#> $lambda_dry
#> [1] 10
#> 
#> $lambda4
#> [1] 1000
#> 
#> $lambda5
#> [1] 1000
#> 
#> $lambda6
#> [1] 1
#> 
#> $lambda3
#> [1] 10
#>