Azure CLI az ml-h 可将扩展升级到最新版本: Azure CLI az extension update-nml 在Linux 上安装 如果使用的是 Debian 或 Ubuntu,安装所需 CLI 版本和机器学习扩展的最快方法是: Bash curl -sL https://aka.ms/InstallAzureCLIDeb | sudo bash az extension add -n ml -y ...
Azure CLI az ml component create--filetrain.ymlaz ml component create--filescore.ymlaz ml component create--fileeval.yml 运行完这些命令后,可在工作室的“资产”->“组件”下查看组件: 选择组件。 你会看到每个版本的组件的详细信息。 在“详细信息”选项卡下,会看到组件的基本信息,例如名称、创建者、...
3. environment: 环境依赖,你可以直接设定容器,但我更喜欢把环境设置在 Dockerfile 上,这样你可以随时添加所需要的支持,如http://ML.NETCLI 环境或者是一些包等,以下是我的 Dockerfile FROMmcr.microsoft.com/dotnet/sdk:6.0RUNaptinstallwget 4. compute:就是对应创建的算力 搭建好本地的 yaml 环境后,就可以在...
首次运行 Azure 机器学习 CLI 命令时,Azure CLI 的 ml 扩展会自动安装。 如下所示,安装 MLflow SDK mlflow 包和适用于 MLflow 的 Azure 机器学习 azureml-mlflow 插件。 Bash 复制 pip install mlflow azureml-mlflow 提示 可以使用 mlflow-skinny 包,它是一个不带 SQL 存储、服务器、UI 或数据科学依赖项...
Bumped azureml-inference-server-http pin to 1.0.0 in azureml-defaults. azureml-interpret updated azureml-interpret package to interpret-community 0.31.* azureml-responsibleai updated common environment and azureml-responsibleai package to raiwidgets and responsibleai 0.33.0 Increase res...
获取方式你可以通过输入以下 Azure CLI 命令获取 az ad sp create-for-rbac --sdk-auth --name ml-auth 通过Azure ML + GitHub + GitHub Actions 可以让你非常方便地完成和管理相关的机器学习项目。 数据管理 代码管理 CI / CD 训练过程监控 模型部署 ...
Configure model monitoring.You can use AzureML’s SDK, CLI, or the Studio UI to easily set up model monitoring. During setup, you can specify your preferred monitoring signals, configure your desired metrics, and set the respective alert threshold for each metric. ...
a CLI that provides a generic automation layer for assessing the security of ML models - Azure/counterfit
Get Azure Pipeline Build Status with the Azure CLI For those who prefer the command line, it's possible to interact with Azure DevOps using the Azure CLI. Neil Peterson takes a quick look at the configuration and basic functionality of the CLI extension as related to Azure Pipelines. dotnet...
It can also build, push, pull, and run container images using either the Docker CLI (with Moby/dockerd) or nerdctl (with containerd). Features: Installs a new Linux VM in WSL2 that has a Kubernetes cluster based on k3s as well as installs various components in it such as KIM (for ...