Skip to main content

Machine Learning TensorBoard package combines AzureML SDK with TensorBoard functionality

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.

Setup

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


Download files

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

Files for azureml-tensorboard, version 1.28.0
Filename, size File type Python version Upload date Hashes
Filename, size azureml_tensorboard-1.28.0-py3-none-any.whl (11.2 kB) File type Wheel Python version py3 Upload date Hashes View

Supported by

AWS AWS Cloud computing Datadog Datadog Monitoring DigiCert DigiCert EV certificate Facebook / Instagram Facebook / Instagram PSF Sponsor Fastly Fastly CDN Google Google Object Storage and Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Salesforce Salesforce PSF Sponsor Sentry Sentry Error logging StatusPage StatusPage Status page