Nothing
box::use(
kindling[ffnn, act_funs, args],
NeuralNetTools[garson, olden],
vip[vip, vi]
)
cat("\n\n=== Example 1: FFNN Classification ===\n")
model_iris = ffnn(
Species ~ .,
data = iris,
= c(64, 32),
activations = "relu",
epochs = 100,
verbose = FALSE,
cache_weights = TRUE
)
cat("\nGarson's Algorithm:\n")
imp_garson = garson(model_iris, bar_plot = FALSE)
imp_garson
cat("\nOlden's Algorithm:\n")
imp_olden = olden(model_iris, bar_plot = FALSE)
imp_olden
cat("\nvip Integration:\n")
imp_vip = vi(model_iris)
imp_vip
cat("\n\n=== Example 2: FFNN Regression (mtcars dataset) ===\n")
model_mtcars = ffnn(
mpg ~ cyl + disp + hp + drat + wt + qsec,
data = mtcars,
= c(32, 16),
activations = "relu",
epochs = 150,
loss = "mse",
verbose = FALSE,
cache_weights = TRUE
)
cat("\nVariable Importance (Olden's method):\n")
imp_reg = olden(model_mtcars, bar_plot = FALSE)
imp_reg
cat("\nVariable Importance (Garson's method):\n")
imp_reg = garson(model_mtcars, bar_plot = FALSE)
imp_reg
cat("\nvip Integration:\n")
imp_vip = vi(model_iris)
imp_vip
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