Skip to main content

Machine Learning TensorBoard package combines AzureML SDK with TensorBoard visualization

Project description

Microsoft Azure Machine Learning TensorBoard API for Python

This package has been tested with Python 3.6 and 3.7.

The SDK is released with backwards compatibility guarantees.

The Azure Machine Learning azureml-tensorboard package combines the AzureML SDK with TensorBoard visualization.

It can be used to:

  • Export run history to TensorBoard logs directory. You can run TensorBoard against the directory to view metrics.

  • Launch TensorBoard from run history. TensorFlow logs can be written to a specified logs directory and then automatically loaded in real-time from Azure Blob Storage.


Follow these instructions to install the Azure ML SDK on your local machine, create an Azure ML workspace, and set up your notebook environment, which is required for the next step. Once you have set up your environment, install the AzureML TensorBoard package:

pip install azureml-tensorboard

Project details

Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distribution

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page