abacusai.model_monitor_version
Module Contents
Classes
A version of a model monitor |
- class abacusai.model_monitor_version.ModelMonitorVersion(client, modelMonitorVersion=None, status=None, modelMonitorId=None, monitoringStartedAt=None, monitoringCompletedAt=None, trainingFeatureGroupVersion=None, predictionFeatureGroupVersion=None, error=None, pendingDeploymentIds=None, failedDeploymentIds=None)
Bases:
abacusai.return_class.AbstractApiClass
A version of a model monitor
- Parameters
client (ApiClient) – An authenticated API Client instance
modelMonitorVersion (str) – The unique identifier of a model monitor version.
status (str) – The current status of the model.
modelMonitorId (str) – A reference to the model monitor this version belongs to.
monitoringStartedAt (str) – The start time and date of the monitoring process.
monitoringCompletedAt (str) – The end time and date of the monitoring process.
trainingFeatureGroupVersion (unique string identifiers) – Feature group version IDs that this refresh pipeline run is monitoring.
predictionFeatureGroupVersion (unique string identifiers) – Feature group version IDs that this refresh pipeline run is monitoring.
error (str) – Relevant error if the status is FAILED.
pendingDeploymentIds (list) – List of deployment IDs where deployment is pending.
failedDeploymentIds (list) – List of failed deployment IDs.
- __repr__(self)
Return repr(self).
- to_dict(self)
Get a dict representation of the parameters in this class
- Returns
The dict value representation of the class parameters
- Return type
- refresh(self)
Calls describe and refreshes the current object’s fields
- Returns
The current object
- Return type
- describe(self)
Retrieves a full description of the specified model monitor version
- Parameters
model_monitor_version (str) – The unique version ID of the model monitor version
- Returns
A model monitor version.
- Return type
- delete(self)
Deletes the specified model monitor version.
- Parameters
model_monitor_version (str) – The ID of the model monitor version to delete.
- get_model_monitoring_logs(self, stdout=False, stderr=False)
Returns monitoring logs for the model.
- Parameters
- Returns
A function logs.
- Return type
- get_drift_for_feature(self, feature_name)
Gets the feature drift associated with a single feature in an output feature group from a prediction.
- Parameters
feature_name (str) – Name of the feature to view the distribution of.
- get_outliers_for_feature(self, feature_name=None)
Gets a list of outliers measured by a single feature (or overall) in an output feature group from a prediction.
- Parameters
feature_name (str) – Name of the feature to view the distribution of.