pythonfix
azureml-widgets 1.57.0
Provides fully supported, with interactivity, async auto-updates, and non-blocking cell execution.
Provides fully supported, with interactivity, async auto-updates, and non-blocking cell execution.
How to Install azureml-widgets
You can install azureml-widgets using pip
pip install azureml-widgets
or add it to a project with poetry
poetry add azureml-widgets
Package Details
- Author
- Microsoft Corp
- License
- https://aka.ms/azureml-sdk-license
- Homepage
- https://docs.microsoft.com/python/api/overview/azure/ml/?view=azure-ml-py
- PyPi:
- https://pypi.org/project/azureml-widgets/
Classifiers
- Multimedia/Graphics
- Scientific/Engineering/Artificial Intelligence
Related Packages
Errors
A list of common azureml-widgets errors.
Code Examples
Here are some azureml-widgets code examples and snippets.
Related Packages & Articles
azureml-train-restclients-hyperdrive 1.57.0
Contains classes needed to create HyperDriveRuns with azureml-train-core.
azureml-train-core 1.57.0
Provides estimators for training models.
azureml-train-automl-runtime 1.57.0
Used for automatically finding the best machine learning model and its parameters.
azureml-train-automl-client 1.57.0
Used for automatically finding the best machine learning model and its parameters.
azureml-train-automl 1.57.0
Used for automatically finding the best machine learning model and its parameters.
azureml-telemetry 1.56.0
Used to collect telemetry data like Log messages, metrics, events, and activity messages
azureml-sdk 1.56.0
Used to build and run machine learning workflows upon the Azure Machine Learning service.
azureml-pipeline-steps 1.56.0
Aeva : represents a unit of computation in azureml-pipeline
azureml-pipeline-core 1.57.0
Contains core functionality for Azure Machine Learning pipelines, which are configurable machine learning workflows.