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此外,无法访问此块中的脚本参数。 有关其他示例脚本,请参阅azureml-examples。 也可以在脚本中使用以下环境变量: CI_RESOURCE_GROUP CI_WORKSPACE CI_NAME CI_LOCAL_UBUNTU_USER- 指向azureuser 将安装脚本与 Azure Policy 结合使用,以在每次创建计算实例时强制执行或不执行安装脚本。 安装脚本超时的默认值为 15 ...
az account set --subscription <subscription ID> az configure --defaults workspace=<Azure Machine Learning workspace name> group=<resource group> 複製範例存放庫 如要遵循本文,請先複製範例存放庫 (azureml-examples)。 然後,執行下列程式碼以移至存放庫的 cli/ 目錄: Azure CLI 複製 git clone -...
Azure Machine Learning extension for Azure CLI Thecli/folderhosts our examples to use theAzure Machine Learning extensionforAzure CLI. Note: If you're looking for examples that submit Azure ML jobs that run non-Python code, see: R:cli/jobs/single-step/r ...
可以在 Jupyter Notebook 中按照此示例进行操作。 在azureml-examples存储库中,打开笔记本:model.ipynb。 在模型注册表中创建模型 通过模型注册,可在 Azure 云的工作区中存储模型并控制模型版本。 模型注册表可帮助你组织和跟踪已训练的模型。 本部分中的代码片段演示如何执行以下操作: ...
Developing robots to address labor shortages, diagnosing plant diseases, and monitoring the health of the soil are examples of ways machine learning can improve agriculture. What to look for in a machine learning platform When selecting a machine learning platform, look for a solution with the foll...
Developing robots to address labor shortages, diagnosing plant diseases, and monitoring the health of the soil are examples of ways machine learning can improve agriculture. What to look for in a machine learning platform When selecting a machine learning platform, look for a solution with the foll...
# load the datacredit_df = pd.read_csv("https://azuremlexamples.blob.core.windows.net/datasets/credit_card/default_of_credit_card_clients.csv",header=1,index_col=0,)train_df, test_df = train_test_split(credit_df,test_size=0.25,) ...
Azure Machine Learning Python SDK notebooks With the introduction of AzureML SDK v2, this samples repository for the v1 SDK is now deprecated and will not be monitored or updated. Users are encouraged to visit thev2 SDK samples repositoryinstead for up-to-date and enhanced examples of how to...
(Examples of cleaning include removing rows with missing data, replacing missing data algorithmically, removing duplicate rows, and removing rows containing “outliers.” In practice, cleaning the data can be very time-intensive and often consumes 50% of the time required to build the model.) ...