小编Sve*_*ven的帖子

我正在通过本教程预测温度来尝试R中的Keras软件包.但是,本教程没有解释如何使用训练有素的RNN模型进行预测,我想知道如何做到这一点.为了训练模型,我使用了从教程中复制的以下代码:

dir.create("~/Downloads/jena_climate", recursive = TRUE)
download.file(
    "https://s3.amazonaws.com/keras-datasets/jena_climate_2009_2016.csv.zip",
      "~/Downloads/jena_climate/jena_climate_2009_2016.csv.zip"
    )
unzip(
  "~/Downloads/jena_climate/jena_climate_2009_2016.csv.zip",
  exdir = "~/Downloads/jena_climate"
)

library(readr)
data_dir <- "~/Downloads/jena_climate"
fname <- file.path(data_dir, "jena_climate_2009_2016.csv")
data <- read_csv(fname)

data <- data.matrix(data[,-1])

train_data <- data[1:200000,]
mean <- apply(train_data, 2, mean)
std <- apply(train_data, 2, sd)
data <- scale(data, center = mean, scale = std)

generator <- function(data, lookback, delay, min_index, max_index,
                      shuffle = FALSE, batch_size = 128, step = 6) {
  if (is.null(max_index))
    max_index <- nrow(data) - delay - 1
  i …