Nothing
context("Model Builder")
test_that("model_builder", {
n <- 1000
data = data.frame(matrix(rnorm(4*n), c(n,4)))
colnames(data) <- c("x1","x2","x3","xa")
formula <- ~ 1 + deep_model(x1,x2,x3) + s(xa) + x1
deep_model <- function(x) x %>%
layer_dense(units = 32, activation = "relu", use_bias = FALSE) %>%
layer_dropout(rate = 0.2) %>%
layer_dense(units = 8, activation = "relu") %>%
layer_dense(units = 1, activation = "linear")
y <- rnorm(n) + data$xa^2 + data$x1
# check fake custom model
mod <- deepregression(
list_of_formulas = list(loc = ~ 1 + s(xa) + x1, scale = ~ 1),
data = data, y = y,
list_of_deep_models = list(deep_model = deep_model),
model_fun = build_customKeras()
)
expect_equal(class(mod$model)[1], "models.custom_train_step.customKeras")
ret <- mod %>% fit(epochs = 2)
})
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