| Name | Version | Summary | date |
|---|---|---|---|
| azureml-widgets | 1.23.0 | azureml widgets | 2021-02-22 18:07:15 |
| azureml-train-restclients-hyperdrive | 1.23.0 | HyperDrive | 2021-02-22 18:07:13 |
| azureml-train-core | 1.23.0 | Azure Machine Learning train core package for estimators | 2021-02-22 18:07:11 |
| azureml-train-automl-runtime | 1.23.0 | automl | 2021-02-22 18:07:09 |
| azureml-train-automl-client | 1.23.0 | automl | 2021-02-22 18:07:08 |
| azureml-train-automl | 1.23.0 | automl | 2021-02-22 18:07:07 |
| azureml-train | 1.23.0 | 2021-02-22 18:07:05 | |
| azureml-tensorboard | 1.23.0 | Machine Learning TensorBoard package combines AzureML SDK with TensorBoard functionality | 2021-02-22 18:07:04 |
| azureml-telemetry | 1.23.0 | Azure Machine Learning Telemetry API for Python | 2021-02-22 18:07:03 |
| azureml-synapse | 1.23.0 | Synapse magic and SparkMonitor widget to submit job to Synapse Spark pool. | 2021-02-22 18:07:01 |
| azureml-sdk | 1.23.0 | Microsoft Azure Machine Learning Python SDK | 2021-02-22 18:06:59 |
| azureml-pipeline-steps | 1.23.0 | Aeva | 2021-02-22 18:06:57 |
| azureml-pipeline-core | 1.23.0 | azureml pipeline core | 2021-02-22 18:06:56 |
| azureml-pipeline | 1.23.0 | 2021-02-22 18:06:55 | |
| azureml-interpret | 1.23.0 | Machine Learning interpret package is used to interpret ML models | 2021-02-22 18:06:51 |
| azureml-explain-model | 1.23.0 | Machine Learning explain model package is used to interpret ML models | 2021-02-22 18:06:50 |
| azureml-defaults | 1.23.0 | 2021-02-22 18:06:49 | |
| azureml-dataset-runtime | 1.23.0 | Azure Machine Learning dataset runtime - not intended for public use | 2021-02-22 18:06:47 |
| azureml-datadrift | 1.23.0 | Azure Machine Learning datadrift | 2021-02-22 18:06:46 |
| azureml-core | 1.23.0 | Azure Machine Learning core packages, modules, and classes | 2021-02-22 18:06:45 |
| hour | day | week | total |
|---|---|---|---|
| 36 | 1265 | 6024 | 161128 |