Model-serving framework Prerequisites Model support Model format Model size GPU acceleration Upload model to OpenSearch The model_config object Example request Example respo...

Model-serving framework Prerequisites Model support Model format Model size GPU acceleration Upload model to OpenSearch The model_config object Sample request Sample respons...

Trainjob 基本组件和训练流程 Trainjob 基本组件和训练流程 下图是使用 Cloud-ML Trainjob 的基本组件和训练流程。其中1,2,3为用户操作步骤，a,b,c 为平台处理流程。 Cloud-ML Trainjob 的运行依赖两个外部基础设施，Docker Registry 和 FDS，其中 Docker Regist...

Train and Predict APIs Train and Predict APIs The ML Commons API lets you train machine learning (ML) algorithms synchronously and asynchronously, make predictions with that tra...

Train and Predict APIs Train and Predict APIs The ML Commons API lets you train machine learning (ML) algorithms synchronously and asynchronously, make predictions with that tra...

Overview of Kubeflow Fairing Getting started What is Kubeflow Fairing? Next steps Overview of Kubeflow Fairing Build, train, and deploy your ML training jobs remotely Kubef...

Margin Quick reference Basic usage Add margin to a single side Add horizontal margin Add vertical margin Add margin to all sides Using negative values Applying conditionally...

KMeans 1. 算法介绍 Mini-batch KMeans 2. 分布式实现 on Angel 模型存储 模型更新 算法逻辑 3. 运行 & 性能 参数 性能 4. 参考文献 KMeans KMeans是一种简单的聚类算法，将数据集划分为多个簇，K为簇的个数。传统的KMeans算法，有一定的性能瓶颈，通过PS实现的KMea...

3.5. Performing a client-only install 3.5.1. Windows 3.5.2. Linux and some other Posix clients 3.5. Performing a client-only install Each remote client machine needs to have ...

fdsfuse介绍 简介 fdsfuse在Cloud-ML中的使用 本地安装（暂不支持） fdsfuse介绍 简介 fdsfuse是类似s3fuse的分布式文件系统访问工具，相当于将fds的bucket挂载到本地目录。 fdsfuse在Cloud-ML中的使用 在cloud-ml-sdk 0.2.15之后的版本中，可以在cloudml...