Azure 机器学习的特选环境Azure Machine Learning Curated Environments

本文列出了 Azure 机器学习中的特选环境。This article lists the curated environments in Azure Machine Learning. 特选环境由 Azure 机器学习提供,且默认可用于你的工作区。Curated environments are provided by Azure Machine Learning and are available in your workspace by default. 它们由使用最新版本的 Azure 机器学习 SDK 的缓存 Docker 映像提供支持,降低了运行准备成本,缩短了部署时间。They are backed by cached Docker images that use the latest version of the Azure Machine Learning SDK, reducing the run preparation cost and allowing for faster deployment time. 使用这些环境可以快速完成各种机器学习框架的入门。Use these environments to quickly get started with various machine learning frameworks.

备注

此列表于 2020 年 12 月进行了更新。This list is updated as of December 2020. 使用 Python SDK 获取环境及其依赖项的最新更新列表。Use the Python SDK to get the most updated list of environments and their dependencies. 有关详细信息,请参阅环境一文。For more information, see the environments article.

自动化 MLAutoML

  • AzureML-AutoMLAzureML-AutoML
  • AzureML-AutoML-DNNAzureML-AutoML-DNN
  • AzureML-AutoML-DNN-GPUAzureML-AutoML-DNN-GPU
  • AzureML-AutoML-DNN-Vision-GPUAzureML-AutoML-DNN-Vision-GPU
  • AzureML-AutoML-GPUAzureML-AutoML-GPU

ChainerChainer

  • AzureML-Chainer-5.1.0-CPUAzureML-Chainer-5.1.0-CPU
  • AzureML-Chainer-5.1.0-GPUAzureML-Chainer-5.1.0-GPU

DaskDask

  • AzureML-Dask-CPUAzureML-Dask-CPU
  • AzureML-Dask-GPUAzureML-Dask-GPU

DeepSpeedDeepSpeed

  • AzureML-DeepSpeed-0.3-GPUAzureML-DeepSpeed-0.3-GPU

HyperdriveHyperdrive

  • AzureML-Hyperdrive-ForecastDNNAzureML-Hyperdrive-ForecastDNN

最小Minimal

  • AzureML-MinimalAzureML-Minimal

PySparkPySpark

  • AzureML-PySpark-MmlSpark-0.15AzureML-PySpark-MmlSpark-0.15

PyTorchPyTorch

  • AzureML-PyTorch-1.0-CPUAzureML-PyTorch-1.0-CPU
  • AzureML-PyTorch-1.0-GPUAzureML-PyTorch-1.0-GPU
  • AzureML-PyTorch-1.1-CPUAzureML-PyTorch-1.1-CPU
  • AzureML-PyTorch-1.1-GPUAzureML-PyTorch-1.1-GPU
  • AzureML-PyTorch-1.2-CPUAzureML-PyTorch-1.2-CPU
  • AzureML-PyTorch-1.2-GPUAzureML-PyTorch-1.2-GPU
  • AzureML-PyTorch-1.3-CPUAzureML-PyTorch-1.3-CPU
  • AzureML-PyTorch-1.3-GPUAzureML-PyTorch-1.3-GPU
  • AzureML-PyTorch-1.4-CPUAzureML-PyTorch-1.4-CPU
  • AzureML-PyTorch-1.4-GPUAzureML-PyTorch-1.4-GPU
  • AzureML-PyTorch-1.5-CPUAzureML-PyTorch-1.5-CPU
  • AzureML-PyTorch-1.5-GPUAzureML-PyTorch-1.5-GPU
  • AzureML-PyTorch-1.6-CPUAzureML-PyTorch-1.6-CPU
  • AzureML-PyTorch-1.6-GPUAzureML-PyTorch-1.6-GPU

ScikitScikit

  • AzureML-Scikit-learn-0.20.3AzureML-Scikit-learn-0.20.3

TensorFlowTensorFlow

  • AzureML-TensorFlow-1.10-CPUAzureML-TensorFlow-1.10-CPU
  • AzureML-TensorFlow-1.10-GPUAzureML-TensorFlow-1.10-GPU
  • AzureML-TensorFlow-1.12-CPUAzureML-TensorFlow-1.12-CPU
  • AzureML-TensorFlow-1.12-GPUAzureML-TensorFlow-1.12-GPU
  • AzureML-TensorFlow-1.13-CPUAzureML-TensorFlow-1.13-CPU
  • AzureML-TensorFlow-1.13-GPUAzureML-TensorFlow-1.13-GPU
  • AzureML-TensorFlow-2.0-CPUAzureML-TensorFlow-2.0-CPU
  • AzureML-TensorFlow-2.0-GPUAzureML-TensorFlow-2.0-GPU
  • AzureML-TensorFlow-2.1-CPUAzureML-TensorFlow-2.1-CPU
  • AzureML-TensorFlow-2.1-GPUAzureML-TensorFlow-2.1-GPU
  • AzureML-TensorFlow-2.2-CPUAzureML-TensorFlow-2.2-CPU
  • AzureML-TensorFlow-2.2-GPUAzureML-TensorFlow-2.2-GPU
  • AzureML-TensorFlow-2.3-CPUAzureML-TensorFlow-2.3-CPU
  • AzureML-TensorFlow-2.3-GPUAzureML-TensorFlow-2.3-GPU

TritonTriton

  • AzureML-TritonAzureML-Triton

教程Tutorial

  • AzureML-TutorialAzureML-Tutorial

VowpalWabbitVowpalWabbit

  • AzureML-VowpalWabbit-8.8.0AzureML-VowpalWabbit-8.8.0