context("Tests that need to be cleaned up.")
fit_linear <- lm(Sepal.Length ~ ., iris)
sd(iris$Sepal.Length - predict(fit_linear, iris))
m1 <- dglm(iris,
Sepal.Length ~ .,
hidden_layers = c(16, 2),
hidden_layers_activation = c("linear", "linear"),
verbose = TRUE, epochs = 1000)
sd(iris$Sepal.Length - dglm_predict(iris, m1))
library(dplyr)
dglm_predict(iris, m1)
m2 <- dglm(iris,
Species ~ .,
hidden_layers = c(24, 12),
epochs = 100,
verbose = FALSE)
dglm_predict(iris, m2)
dglm_predict(iris, m2, type = "one-hot")
m3 <- dglm(iris,
Sepal.Length ~ .,
verbose = TRUE, epochs = 1000)
get_weights(m3$model)
fit_linear
#expect_equal(predict(fit_dl1, iris), predict(fit_linear, iris))
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