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## ----setup, include=FALSE-----------------------------------------------------
# # https://www.tensorflow.org/get_started/input_fn
library(tfestimators)
knitr::opts_chunk$set(echo = TRUE)
knitr::opts_chunk$set(eval = FALSE)
## -----------------------------------------------------------------------------
# model %>% train(
# input_fn(mtcars,
# features = c(drat, cyl),
# response = mpg,
# batch_size = 128,
# epochs = 3)
# )
## -----------------------------------------------------------------------------
# model %>% train(
# input_fn(mpg ~ drat + cyl,
# data = mtcars,
# batch_size = 128,
# epochs = 3)
# )
## -----------------------------------------------------------------------------
# mtcars_input_fn <- function(data, ...) {
# input_fn(data,
# features = c("drat", "cyl"),
# response = "mpg",
# ...)
# }
## -----------------------------------------------------------------------------
# # train the model
# model %>% train(mtcars_input_fn(train_data))
#
# # evaluate the model
# model %>% evaluate(mtcars_input_fn(test_data))
## -----------------------------------------------------------------------------
# m <- matrix(c(1:12), nrow = 4, ncol = 3)
# colnames(m) <- c("x1", "x2", "y")
# input_fn(m, features = c("x1", "x2"), response = "y")
## -----------------------------------------------------------------------------
# input_fn(
# object = list(
# inputs = list(
# list(list(1), list(2), list(3)),
# list(list(4), list(5), list(6))),
# output = list(
# list(1, 2, 3), list(4, 5, 6))),
# features = "inputs",
# response = "output"
# )
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