从Azure ML Studio中的工作区获取数据

Question

在Azure ML Studio中，连接到工作区时遇到了问题。我正在使用库azuremlsdk，但它不起作用。我的代码看起来是：

library(azuremlsdk)
workspace_name = 'workspace_name'
subscription_id = 'subscription_id'
resource_group = 'resource_group'
ws <- get_workspace(name = workspace_name, subscription_id = subscription_id, resource_group = resource_group)

dataSet <- get_dataset_by_name(ws, name = "registration_name", version = "latest")

运行该代码后，会得到错误：

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我知道出了什么问题。我尝试在python中这样做，它在相同的参数(代码)中工作得很好：

from azureml.core import Workspace, Dataset

subscription_id = 'subscription_id'
resource_group = 'resource_group'
workspace_name = 'workspace_name'

workspace = Workspace(subscription_id, resource_group, workspace_name)

dataset = Dataset.get_by_name(workspace, name='registration_name')

你知道我怎么才能修好那个窃听器吗？

Answer 1

我试图重现这个问题，并找到了解决办法。按照下面的步骤从工作区访问数据集内容。

data.set <-data.frame(installed.packages("azuremlsdk"));
data.set <-data.frame(installed.packages("remotes"));
remotes::install_cran('azuremlsdk', repos = 'http://cran.us.r-project.org', INSTALL_opts=c("--no-multiarch"))
library(azuremlsdk)
ws <- get_workspace(name = workspace_name, subscription_id = subscription_id, resource_group = resource_group, auth = authentication)
print(ws)
dataSet <- get_dataset_by_name(ws, name = "registration_name", version = "latest")

dataSet

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