我介紹了有關在Azure ML中安裝附加R包的以下堆棧溢出查詢。但是我'收到錯誤在Azure ML中安裝額外的R包(ImputeTS R包)ML
徑1:安裝Windows ImputeTS封裝(https://cran.r-project.org/web/packages/miniCRAN/index.html)
I雙重壓縮,並試圖按所述:安裝miniCRAN包窗口(https://cran.r-project.org/web/packages/imputeTS/index.html)
2步道下面的堆棧溢出查詢問題。但是,仍然面臨着同樣的問題,我使用
[R版本:CRAN 3.1.0
我需要使用package ImputeTS.
堆棧溢出的查詢鏈接: Installing additional R Package on Azure ML
錯誤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
錯誤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腳本:
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:所有的代碼包的其餘部分即dplyr,tidyr,lubridate已經部分的azure ml R包裝。 除了我試圖安裝的ImputeTS。