在Azure中安装附加的R包(ImputeTS R包)

Question

关于在Azure ML中安装额外的R包，我引用了下面的堆栈溢出查询。但是我得到了错误

试验1:为windows安装miniCRAN包(https://cran.r-project.org/web/packages/imputeTS/index.html)

试验2:为windows安装ImputeTS包(https://cran.r-project.org/web/packages/miniCRAN/index.html)

I按下面的堆栈溢出查询问题进行了双重压缩和尝试。但是，仍然面临着同样的问题，

我正在使用的R版本：CRAN 3.1.0

我需要使用package ImputeTS.

堆栈溢出查询链接: Installing additional R Package on Azure ML

错误1:

    Error 0063: The following error occurred during evaluation of R script:

    ---------- Start of error message from R ----------

    zip file 'src/miniCRAN.zip' not found

错误2:

     Error 0063: The following error occurred during evaluation of R script:

     ---------- Start of error message from R ----------

     zip file 'src/imputeTS.zip' not found

R脚本:

JCI_CO2  <- maml.mapInputPort(1)

library(dplyr)
library(tidyr)
library(lubridate)

#install.packages("src/imputeTS.zip", lib = ".", repos = NULL, verbose = TRUE)
#(success <- library("imputeTS", lib.loc = ".", logical.return = TRUE, verbose = TRUE))

 #library(imputeTS)
 #library(imputeTS,lib.loc = ".")


install.packages("src/miniCRAN.zip", lib = ".", repos = NULL, verbose = TRUE)
(success <- library("miniCRAN", lib.loc = ".", logical.return = TRUE, verbose = TRUE))

library(miniCRAN)
library(miniCRAN,lib.loc = ".")

library(imputeTS)

dt2 <- JCI_CO2 %>%
  mutate(Date.Time = mdy_hm(Date.Time)) %>%
  filter(Date.Time %in% seq(min(Date.Time), max(Date.Time), by = "15 min")) %>%
  complete(Date.Time = seq(min(Date.Time), max(Date.Time), by = "15 min")) %>%
  mutate(RA.CO2 = na.interpolation(RA.CO2)) %>%
  arrange(desc(Date.Time))


  JCI_CO2 <- data.frame(dt2)

  maml.mapOutputPort("JCI_CO2");

注意:代码中的所有其他包，即dplyr、tidyr、lubridate，都已经是azure ml包的一部分。，但我正在尝试安装的ImputeTS除外.

Answer 1

当遇到Execute R或Python脚本模块(实际上是所有模块，但对这些模块更有帮助)时，选择该模块将在右侧的属性窗格中显示一个View Output Log链接。这将显示模块的stdout + stderr，这比窗口中最后解析的错误消息更详细。

特别是为了诊断"path不存在“这样的问题，将Zip文件附加到Exec R/Py的Zip输入端口实际上会转储被解压缩到R/Python解释器上下文中的内容的完整列表。请使用它来确定为什么您所提供的路径没有如您所期望的那样解决。