Interface ModelMonitoringConfigOrBuilder (3.43.0)

Version 3.43.0

• 3.55.0 (latest)
• 3.54.0
• 3.53.0
• 3.52.0
• 3.50.0
• 3.49.0
• 3.48.0
• 3.47.0
• 3.46.0
• 3.45.0
• 3.44.0
• 3.43.0
• 3.42.0
• 3.41.0
• 3.40.0
• 3.38.0
• 3.37.0
• 3.36.0
• 3.35.0
• 3.34.0
• 3.33.0
• 3.32.0
• 3.31.0
• 3.30.0
• 3.29.0
• 3.28.0
• 3.25.0
• 3.24.0
• 3.23.0
• 3.22.0
• 3.21.0
• 3.20.0
• 3.19.0
• 3.18.0
• 3.17.0
• 3.16.0
• 3.15.0
• 3.14.0
• 3.13.0
• 3.12.0
• 3.11.0
• 3.10.0
• 3.9.0
• 3.8.0
• 3.7.0
• 3.6.0
• 3.5.0
• 3.4.2
• 3.3.0
• 3.2.0
• 3.0.0
• 2.9.8
• 2.8.9
• 2.7.4
• 2.5.3
• 2.4.0

public interface ModelMonitoringConfigOrBuilder extends MessageOrBuilder

Implements

MessageOrBuilder

Methods

getAlertConfig()

public abstract ModelMonitoringAlertConfig getAlertConfig()

Model monitoring alert config.

.google.cloud.aiplatform.v1beta1.ModelMonitoringAlertConfig alert_config = 2;

Returns
Type	Description
ModelMonitoringAlertConfig	The alertConfig.

getAlertConfigOrBuilder()

public abstract ModelMonitoringAlertConfigOrBuilder getAlertConfigOrBuilder()

Model monitoring alert config.

.google.cloud.aiplatform.v1beta1.ModelMonitoringAlertConfig alert_config = 2;

Returns
Type	Description
ModelMonitoringAlertConfigOrBuilder

getAnalysisInstanceSchemaUri()

public abstract String getAnalysisInstanceSchemaUri()

YAML schema file uri in Cloud Storage describing the format of a single instance that you want Tensorflow Data Validation (TFDV) to analyze.

If there are any data type differences between predict instance and TFDV instance, this field can be used to override the schema. For models trained with Vertex AI, this field must be set as all the fields in predict instance formatted as string.

string analysis_instance_schema_uri = 4;

Returns
Type	Description
String	The analysisInstanceSchemaUri.

getAnalysisInstanceSchemaUriBytes()

public abstract ByteString getAnalysisInstanceSchemaUriBytes()

YAML schema file uri in Cloud Storage describing the format of a single instance that you want Tensorflow Data Validation (TFDV) to analyze.

If there are any data type differences between predict instance and TFDV instance, this field can be used to override the schema. For models trained with Vertex AI, this field must be set as all the fields in predict instance formatted as string.

string analysis_instance_schema_uri = 4;

Returns
Type	Description
ByteString	The bytes for analysisInstanceSchemaUri.

getObjectiveConfigs(int index)

public abstract ModelMonitoringObjectiveConfig getObjectiveConfigs(int index)

Model monitoring objective config.

repeated .google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig objective_configs = 3;

Parameter
Name	Description
index	int

Returns
Type	Description
ModelMonitoringObjectiveConfig

getObjectiveConfigsCount()

public abstract int getObjectiveConfigsCount()

Model monitoring objective config.

repeated .google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig objective_configs = 3;

Returns
Type	Description
int

getObjectiveConfigsList()

public abstract List<ModelMonitoringObjectiveConfig> getObjectiveConfigsList()

Model monitoring objective config.

repeated .google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig objective_configs = 3;

Returns
Type	Description
List<ModelMonitoringObjectiveConfig>

getObjectiveConfigsOrBuilder(int index)

public abstract ModelMonitoringObjectiveConfigOrBuilder getObjectiveConfigsOrBuilder(int index)

Model monitoring objective config.

repeated .google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig objective_configs = 3;

Parameter
Name	Description
index	int

Returns
Type	Description
ModelMonitoringObjectiveConfigOrBuilder

getObjectiveConfigsOrBuilderList()

public abstract List<? extends ModelMonitoringObjectiveConfigOrBuilder> getObjectiveConfigsOrBuilderList()

Model monitoring objective config.

repeated .google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig objective_configs = 3;

Returns
Type	Description
List<? extends com.google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfigOrBuilder>

getStatsAnomaliesBaseDirectory()

public abstract GcsDestination getStatsAnomaliesBaseDirectory()

A Google Cloud Storage location for batch prediction model monitoring to dump statistics and anomalies. If not provided, a folder will be created in customer project to hold statistics and anomalies.

.google.cloud.aiplatform.v1beta1.GcsDestination stats_anomalies_base_directory = 5;

Returns
Type	Description
GcsDestination	The statsAnomaliesBaseDirectory.

getStatsAnomaliesBaseDirectoryOrBuilder()

public abstract GcsDestinationOrBuilder getStatsAnomaliesBaseDirectoryOrBuilder()

A Google Cloud Storage location for batch prediction model monitoring to dump statistics and anomalies. If not provided, a folder will be created in customer project to hold statistics and anomalies.

.google.cloud.aiplatform.v1beta1.GcsDestination stats_anomalies_base_directory = 5;

Returns
Type	Description
GcsDestinationOrBuilder

hasAlertConfig()

public abstract boolean hasAlertConfig()

Model monitoring alert config.

.google.cloud.aiplatform.v1beta1.ModelMonitoringAlertConfig alert_config = 2;

Returns
Type	Description
boolean	Whether the alertConfig field is set.

hasStatsAnomaliesBaseDirectory()

public abstract boolean hasStatsAnomaliesBaseDirectory()

A Google Cloud Storage location for batch prediction model monitoring to dump statistics and anomalies. If not provided, a folder will be created in customer project to hold statistics and anomalies.

.google.cloud.aiplatform.v1beta1.GcsDestination stats_anomalies_base_directory = 5;

Returns
Type	Description
boolean	Whether the statsAnomaliesBaseDirectory field is set.