components prediction_drift_signal_monitor - Azure/azureml-assets GitHub Wiki
Computes the prediction drift between a baseline and a target data assets.
Version: 0.4.25
View in Studio: https://ml.azure.com/registries/azureml/components/prediction_drift_signal_monitor/version/0.4.25
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 |