Metadata-Version: 2.0
Name: azureml-tensorboard
Version: 1.10.0
Summary: UNKNOWN
Home-page: https://docs.microsoft.com/en-us/azure/machine-learning/service/
Author: Microsoft Corp
License: https://aka.ms/azureml-sdk-license
Platform: UNKNOWN
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: License :: Other/Proprietary License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Topic :: Multimedia :: Graphics
Classifier: Operating System :: Microsoft :: Windows
Classifier: Operating System :: MacOS
Classifier: Operating System :: POSIX :: Linux
Requires-Python: >=3.5,<4
Description-Content-Type: text/x-rst
Requires-Dist: azureml-core (~=1.10.0)

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.

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.




