ModelServingDataset Class
Represents a dataset used internally when a model-based DataDriftDetector object is created.
A model-based DataDriftDetector enables you to calculate data drift between a model's training dataset and its scoring dataset. To create a model-based DataDriftDetector, use the <xref:azureml.datadrift.DataDriftDetector.create_from_model> method.
Constructor.
Constructor
ModelServingDataset(workspace)Parameters
| Name | Description |
|---|---|
|
workspace
Required
|
The workspace of the model-serving dataset. |
|
workspace
Required
|
<xref:Workspace>
The workspace of the model serving dataset. |
Methods
| export_to_csv |
Export a model-serving dataset to a local CSV file. |
export_to_csv
Export a model-serving dataset to a local CSV file.
export_to_csv(start_time, end_time)Parameters
| Name | Description |
|---|---|
|
start_time
Required
|
The start time in UTC at which to start the export. |
|
end_time
Required
|
The end time in UTC at which to end the export. |
Returns
| Type | Description |
|---|---|
|
The relative path of the exported CSV file. |