Agent APIs Agent APIs Introduced 2.12 This is an experimental feature and is not recommended for use in a production environment. For updates on the progress of the feature or...

使用Python SDK 简介 使用SDK 使用示例 使用Python SDK 简介 安装Python SDK方法与安装命令行方法相同，参考 安装命令工具 。 使用SDK 使用时可以通过下面的方法加载封装的Xiaomi Cloud-ML客户端类。 from cloud_ml_sdk . client import Clou...

Installing Kubeflow Prerequisites Deployment Instructions Prepare KfDef configuration Deploy the Kubeflow with the Kubeflow Operator Watch the deployment progress Installi...

Connector blueprints OpenSearch-provided connector blueprints Configuration parameters Built-in pre- and post-processing functions Amazon SageMaker default pre- and post-processi...

Community Community discussions Community meetings Kubeflow community call Forums and mailing groups Who should consider contributing to Kubeflow? Community About the Kube...

Community Community discussions Community meetings Kubeflow community call Slack community and channels Mailing lists Who should consider contributing to Kubeflow? Feedback ...

使用通用gRPC客户端 简介 使用Xiaomi Cloud-ML 实现原理 使用通用gRPC客户端 简介 TensorFlow serving提供了通用的gRPC接口，我们也考虑实现通用的gRPC客户端，由于用户模型的输入数据不同，因此我们通过JSON定义数据，并且集成到Xiaomi Cloud-ML中。 使用Xiaomi Cloud...

Blog Posts The Kubeflow blog Orchestrating ML pipelines at scale with Kubeflow Pipelines Using Kubeflow to train and serve a PyTorch model in Google Cloud Platform Getting start...

KFServing Install with Kubeflow Examples Sample notebooks Learn more Prerequisites KFServing installation using kubectl Use Contribute KFServing Model serving using KFS...

扩展编辑器 基本工作流程 管理项目中的场景和资源 编写和扩展面板 UI 扩展属性面板 扩展 Gizmos 其他 API 参考 扩展编辑器 Cocos Creator 提供了一系列方法来让用户定制和扩展编辑器的功能。这些扩展以包（package）的形式进行加载。用户通过将自己或第三方开发的扩展包安装到正确的路径进行扩展的加载，根据扩展功...