| Name | Version | Summary | date |
| azureml-inference-server-http |
1.4.0 |
Azure Machine Learning inferencing server. |
2024-11-18 17:33:18 |
| azureml-assets |
1.16.67 |
Utilities for publishing assets to Azure Machine Learning system registries. |
2024-11-18 16:14:46 |
| azureml-mlflow |
1.58.0.post3 |
Contains the integration code of AzureML with Mlflow. |
2024-11-07 13:24:16 |
| azureml-widgets |
1.58.0 |
Provides fully supported, with interactivity, async auto-updates, and non-blocking cell execution. |
2024-10-16 17:44:50 |
| azureml-train-restclients-hyperdrive |
1.58.0 |
Contains classes needed to create HyperDriveRuns with azureml-train-core. |
2024-10-16 17:44:49 |
| azureml-train-core |
1.58.0 |
Provides estimators for training models. |
2024-10-16 17:44:47 |
| azureml-train-automl-runtime |
1.58.0 |
Used for automatically finding the best machine learning model and its parameters. |
2024-10-16 17:44:45 |
| azureml-train-automl-client |
1.58.0 |
Used for automatically finding the best machine learning model and its parameters. |
2024-10-16 17:44:44 |
| azureml-train-automl |
1.58.0 |
Used for automatically finding the best machine learning model and its parameters. |
2024-10-16 17:44:42 |
| azureml-train |
1.58.0 |
None |
2024-10-16 17:44:40 |
| azureml-training-tabular |
1.58.0 |
Contains ML models, featurizers and scoring code which can either be used with AutoML or standalone. |
2024-10-16 17:44:40 |
| azureml-tensorboard |
1.58.0 |
Machine Learning TensorBoard package combines AzureML SDK with TensorBoard visualization |
2024-10-16 17:44:38 |
| azureml-telemetry |
1.58.0 |
Used to collect telemetry data like Log messages, metrics, events, and activity messages |
2024-10-16 17:44:37 |
| azureml-synapse |
1.58.0 |
Provides Magic command to manage Synapse session and submit job to Synapse Spark pool. |
2024-10-16 17:44:35 |
| azureml-sdk |
1.58.0 |
Used to build and run machine learning workflows upon the Azure Machine Learning service. |
2024-10-16 17:44:34 |
| azureml-responsibleai |
1.58.0 |
AzureML Responsible AI package |
2024-10-16 17:44:32 |
| azureml-pipeline-steps |
1.58.0 |
Aeva : represents a unit of computation in azureml-pipeline |
2024-10-16 17:44:31 |
| azureml-pipeline-core |
1.58.0 |
Contains core functionality for Azure Machine Learning pipelines, which are configurable machine learning workflows. |
2024-10-16 17:44:30 |
| azureml-pipeline |
1.58.0 |
Used to build, optimize, and manage their machine learning workflows. |
2024-10-16 17:44:28 |
| azureml-opendatasets |
1.58.0 |
Provides a set of APIs to consume Azure Open Datasets. |
2024-10-16 17:44:27 |
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