将自定义包添加到 Azure 机器学习工作室

Question

我需要在 Azure Machine Learning Studio 上使用函数 tsCV 来评估预测模型，但出现错误

could not find function "tsCV

我正在尝试更新预测包，但没有加载任何包。我跟着这个教程 http://blog.revolutionanalytics.com/2015/10/using-minicran-in-azure-ml.html 和 https://blog.tallan.com/2016/12/27/adding-r-packages-in-azure-ml/ 但我没有得到相同的结果。没有加载包。

我需要一个包含适用于 Azure ML 的 R 代码的程序包示例或更新预测程序包以使用 tsCV 函数。

Answer 1

我已经安装了最新版本的预测包，下面是我在安装过程中遵循的步骤。

下载最新版本的 CRAN
确保 tsCV 在本地工作
压缩所有依赖项+预测包
将所有生成的 zip 压缩在一起并上传到 AMLStudio
运行以下代码：

install.packages("src/glue.zip", lib = ".", repos = NULL, verbose = TRUE)
install.packages("src/stringi.zip", lib = ".", repos = NULL, verbose = TRUE)
install.packages("src/assertthat.zip", lib = ".", repos = NULL, verbose = TRUE)
install.packages("src/fansi.zip", lib = ".", repos = NULL, verbose = TRUE)
install.packages("src/utf8.zip", lib = ".", repos = NULL, verbose = TRUE)
install.packages("src/stringr.zip", lib = ".", repos = NULL, verbose = TRUE)
install.packages("src/labeling.zip", lib = ".", repos = NULL, verbose = TRUE)
install.packages("src/munsell.zip", lib = ".", repos = NULL, verbose = TRUE)
install.packages("src/R6.zip", lib = ".", repos = NULL, verbose = TRUE)
install.packages("src/RColorBrewer.zip", lib = ".", repos = NULL, verbose = TRUE)
install.packages("src/cli.zip", lib = ".", repos = NULL, verbose = TRUE)
install.packages("src/crayon.zip", lib = ".", repos = NULL, verbose = TRUE)
install.packages("src/pillar.zip", lib = ".", repos = NULL, verbose = TRUE)
install.packages("src/xts.zip", lib = ".", repos = NULL, verbose = TRUE)
install.packages("src/TTR.zip", lib = ".", repos = NULL, verbose = TRUE)
install.packages("src/curl.zip", lib = ".", repos = NULL, verbose = TRUE)
install.packages("src/digest.zip", lib = ".", repos = NULL, verbose = TRUE)
install.packages("src/gtable.zip", lib = ".", repos = NULL, verbose = TRUE)
install.packages("src/lazyeval.zip", lib = ".", repos = NULL, verbose = TRUE)
install.packages("src/plyr.zip", lib = ".", repos = NULL, verbose = TRUE)
install.packages("src/reshape2.zip", lib = ".", repos = NULL, verbose = TRUE)
install.packages("src/rlang.zip", lib = ".", repos = NULL, verbose = TRUE)
install.packages("src/scales.zip", lib = ".", repos = NULL, verbose = TRUE)
install.packages("src/tibble.zip", lib = ".", repos = NULL, verbose = TRUE)
install.packages("src/viridisLite.zip", lib = ".", repos = NULL, verbose = TRUE)
install.packages("src/withr.zip", lib = ".", repos = NULL, verbose = TRUE)
install.packages("src/quadprog.zip", lib = ".", repos = NULL, verbose = TRUE)
install.packages("src/quantmod.zip", lib = ".", repos = NULL, verbose = TRUE)
install.packages("src/colorspace.zip", lib = ".", repos = NULL, verbose = TRUE)
install.packages("src/fracdiff.zip", lib = ".", repos = NULL, verbose = TRUE)
install.packages("src/ggplot2.zip", lib = ".", repos = NULL, verbose = TRUE)
install.packages("src/lmtest.zip", lib = ".", repos = NULL, verbose = TRUE)
install.packages("src/magrittr.zip", lib = ".", repos = NULL, verbose = TRUE)
install.packages("src/Rcpp.zip", lib = ".", repos = NULL, verbose = TRUE)
install.packages("src/timeDate.zip", lib = ".", repos = NULL, verbose = TRUE)
install.packages("src/tseries.zip", lib = ".", repos = NULL, verbose = TRUE)
install.packages("src/urca.zip", lib = ".", repos = NULL, verbose = TRUE)
install.packages("src/uroot.zip", lib = ".", repos = NULL, verbose = TRUE)
install.packages("src/zoo.zip", lib = ".", repos = NULL, verbose = TRUE)
install.packages("src/RcppArmadillo.zip", lib = ".", repos = NULL, verbose = TRUE)
install.packages("src/forecast.zip", lib = ".", repos = NULL, verbose = TRUE)

library(forecast, lib.loc=".", verbose=TRUE)
far2 <- function(x, h){forecast(Arima(x, order=c(2,0,0)), h=h)}
e <- tsCV(lynx, far2, h=1)

Here is the zip I have generated:

将自定义包添加到 Azure 机器学习工作室

Add custom packages to Azure Machine Learing Studio

r

azure-machine-learning-studio