Skip to main content

No project description provided

Project description

Microsoft Azure Machine Learning Tensorboard API for Python

This package has been tested with Python 2.7 and 3.6.

The SDK is released with backwards compatibility guarantees.

Machine learning tensorboard package combines the AzureML SDK with tensorboard visualization.

It can be used to:

  • Export run history to tensorboard logs directory. The user 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.

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 1.0.85
Filename, size File type Python version Upload date Hashes
Filename, size azureml_tensorboard-1.0.85-py3-none-any.whl (10.6 kB) File type Wheel Python version py3 Upload date Hashes View hashes

Supported by

Elastic Elastic Search Pingdom Pingdom Monitoring Google Google BigQuery Sentry Sentry Error logging AWS AWS Cloud computing DataDog DataDog Monitoring Fastly Fastly CDN DigiCert DigiCert EV certificate StatusPage StatusPage Status page