components prediction_drift_signal_monitor - Azure/azureml-assets GitHub Wiki
Computes the prediction drift between a baseline and a target data assets.
Version: 0.4.31
View in Studio: https://ml.azure.com/registries/azureml/components/prediction_drift_signal_monitor/version/0.4.31
| Name | Description | Type | Default | Optional | Enum |
|---|---|---|---|---|---|
| signal_name | string | ||||
| monitor_name | string | ||||
| target_data | mltable | ||||
| baseline_data | mltable | ||||
| numerical_metric | string | NormalizedWassersteinDistance | |||
| categorical_metric | string | JensenShannonDistance | |||
| numerical_threshold | number | 0.5 | |||
| categorical_threshold | number | 0.5 | |||
| monitor_current_time | string | ||||
| filter_type | string | All | |||
| filter_value | string | * | |||
| notification_emails | string | True | |||
| instance_type | string | standard_e4s_v3 | True | ||
| override_numerical_features | string | True | |||
| override_categorical_features | string | True |
| Name | Description | Type |
|---|---|---|
| signal_output | uri_folder |