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public interface ModelMonitoringConfigOrBuilder extends MessageOrBuilderImplements
MessageOrBuilderMethods
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. |