Metadata-Version: 2.0
Name: azureml-tensorboard
Version: 1.21.0
Summary: Machine Learning TensorBoard package combines AzureML SDK with TensorBoard functionality
Home-page: https://docs.microsoft.com/python/api/overview/azure/ml/?view=azure-ml-py
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 (~=1.21.0)

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 <https://docs.microsoft.com/azure/machine-learning/how-to-configure-environment#local>`_ 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:

.. code-block:: python

   pip install azureml-tensorboard



