com.google.cloud.aiplatform.v1beta1

Interface ModelMonitoringObjectiveSpec.FeatureAttributionSpecOrBuilder

All Superinterfaces:

com.google.protobuf.MessageLiteOrBuilder, com.google.protobuf.MessageOrBuilder

All Known Implementing Classes:

ModelMonitoringObjectiveSpec.FeatureAttributionSpec, ModelMonitoringObjectiveSpec.FeatureAttributionSpec.Builder

Enclosing class:

ModelMonitoringObjectiveSpec

public static interface ModelMonitoringObjectiveSpec.FeatureAttributionSpecOrBuilder
extends com.google.protobuf.MessageOrBuilder

Method Summary

Modifier and Type	Method and Description
boolean	containsFeatureAlertConditions(String key) Per feature alert condition will override default alert condition.
BatchDedicatedResources	getBatchExplanationDedicatedResources() The config of resources used by the Model Monitoring during the batch explanation for non-AutoML models.
BatchDedicatedResourcesOrBuilder	getBatchExplanationDedicatedResourcesOrBuilder() The config of resources used by the Model Monitoring during the batch explanation for non-AutoML models.
ModelMonitoringAlertCondition	getDefaultAlertCondition() Default alert condition for all the features.
ModelMonitoringAlertConditionOrBuilder	getDefaultAlertConditionOrBuilder() Default alert condition for all the features.
Map<String,ModelMonitoringAlertCondition>	getFeatureAlertConditions() Deprecated.
int	getFeatureAlertConditionsCount() Per feature alert condition will override default alert condition.
Map<String,ModelMonitoringAlertCondition>	getFeatureAlertConditionsMap() Per feature alert condition will override default alert condition.
ModelMonitoringAlertCondition	getFeatureAlertConditionsOrDefault(String key, ModelMonitoringAlertCondition defaultValue) Per feature alert condition will override default alert condition.
ModelMonitoringAlertCondition	getFeatureAlertConditionsOrThrow(String key) Per feature alert condition will override default alert condition.
String	getFeatures(int index) Feature names interested in monitoring.
com.google.protobuf.ByteString	getFeaturesBytes(int index) Feature names interested in monitoring.
int	getFeaturesCount() Feature names interested in monitoring.
List<String>	getFeaturesList() Feature names interested in monitoring.
boolean	hasBatchExplanationDedicatedResources() The config of resources used by the Model Monitoring during the batch explanation for non-AutoML models.
boolean	hasDefaultAlertCondition() Default alert condition for all the features.

Methods inherited from interface com.google.protobuf.MessageOrBuilder

findInitializationErrors, getAllFields, getDefaultInstanceForType, getDescriptorForType, getField, getInitializationErrorString, getOneofFieldDescriptor, getRepeatedField, getRepeatedFieldCount, getUnknownFields, hasField, hasOneof

Methods inherited from interface com.google.protobuf.MessageLiteOrBuilder

isInitialized

Method Detail

getFeaturesList

List<String> getFeaturesList()

 Feature names interested in monitoring.
 These should be a subset of the input feature names specified in the
 monitoring schema. If the field is not specified all features outlied in
 the monitoring schema will be used.
 

repeated string features = 1;

Returns:

A list containing the features.

getFeaturesCount

int getFeaturesCount()

 Feature names interested in monitoring.
 These should be a subset of the input feature names specified in the
 monitoring schema. If the field is not specified all features outlied in
 the monitoring schema will be used.
 

repeated string features = 1;

Returns:

The count of features.

getFeatures

String getFeatures(int index)

 Feature names interested in monitoring.
 These should be a subset of the input feature names specified in the
 monitoring schema. If the field is not specified all features outlied in
 the monitoring schema will be used.
 

repeated string features = 1;

Parameters:

index - The index of the element to return.

Returns:

The features at the given index.

getFeaturesBytes

com.google.protobuf.ByteString getFeaturesBytes(int index)

 Feature names interested in monitoring.
 These should be a subset of the input feature names specified in the
 monitoring schema. If the field is not specified all features outlied in
 the monitoring schema will be used.
 

repeated string features = 1;

Parameters:

index - The index of the value to return.

Returns:

The bytes of the features at the given index.

hasDefaultAlertCondition

boolean hasDefaultAlertCondition()

 Default alert condition for all the features.
 

.google.cloud.aiplatform.v1beta1.ModelMonitoringAlertCondition default_alert_condition = 2;

Returns:

Whether the defaultAlertCondition field is set.

getDefaultAlertCondition

ModelMonitoringAlertCondition getDefaultAlertCondition()

 Default alert condition for all the features.
 

.google.cloud.aiplatform.v1beta1.ModelMonitoringAlertCondition default_alert_condition = 2;

Returns:

The defaultAlertCondition.

getDefaultAlertConditionOrBuilder

ModelMonitoringAlertConditionOrBuilder getDefaultAlertConditionOrBuilder()

 Default alert condition for all the features.
 

.google.cloud.aiplatform.v1beta1.ModelMonitoringAlertCondition default_alert_condition = 2;

getFeatureAlertConditionsCount

int getFeatureAlertConditionsCount()

 Per feature alert condition will override default alert condition.
 

map<string, .google.cloud.aiplatform.v1beta1.ModelMonitoringAlertCondition> feature_alert_conditions = 3;

containsFeatureAlertConditions

boolean containsFeatureAlertConditions(String key)

 Per feature alert condition will override default alert condition.
 

map<string, .google.cloud.aiplatform.v1beta1.ModelMonitoringAlertCondition> feature_alert_conditions = 3;

getFeatureAlertConditions

@Deprecated
Map<String,ModelMonitoringAlertCondition> getFeatureAlertConditions()

Deprecated.

Use getFeatureAlertConditionsMap() instead.

getFeatureAlertConditionsMap

Map<String,ModelMonitoringAlertCondition> getFeatureAlertConditionsMap()

 Per feature alert condition will override default alert condition.
 

map<string, .google.cloud.aiplatform.v1beta1.ModelMonitoringAlertCondition> feature_alert_conditions = 3;

getFeatureAlertConditionsOrDefault

ModelMonitoringAlertCondition getFeatureAlertConditionsOrDefault(String key,
                                                                 ModelMonitoringAlertCondition defaultValue)

 Per feature alert condition will override default alert condition.
 

map<string, .google.cloud.aiplatform.v1beta1.ModelMonitoringAlertCondition> feature_alert_conditions = 3;

getFeatureAlertConditionsOrThrow

ModelMonitoringAlertCondition getFeatureAlertConditionsOrThrow(String key)

 Per feature alert condition will override default alert condition.
 

map<string, .google.cloud.aiplatform.v1beta1.ModelMonitoringAlertCondition> feature_alert_conditions = 3;

hasBatchExplanationDedicatedResources

boolean hasBatchExplanationDedicatedResources()

 The config of resources used by the Model Monitoring during the batch
 explanation for non-AutoML models. If not set, `n1-standard-2` machine
 type will be used by default.
 

.google.cloud.aiplatform.v1beta1.BatchDedicatedResources batch_explanation_dedicated_resources = 4;

Returns:

Whether the batchExplanationDedicatedResources field is set.

getBatchExplanationDedicatedResources

BatchDedicatedResources getBatchExplanationDedicatedResources()

 The config of resources used by the Model Monitoring during the batch
 explanation for non-AutoML models. If not set, `n1-standard-2` machine
 type will be used by default.
 

.google.cloud.aiplatform.v1beta1.BatchDedicatedResources batch_explanation_dedicated_resources = 4;

Returns:

The batchExplanationDedicatedResources.

getBatchExplanationDedicatedResourcesOrBuilder

BatchDedicatedResourcesOrBuilder getBatchExplanationDedicatedResourcesOrBuilder()

 The config of resources used by the Model Monitoring during the batch
 explanation for non-AutoML models. If not set, `n1-standard-2` machine
 type will be used by default.
 

.google.cloud.aiplatform.v1beta1.BatchDedicatedResources batch_explanation_dedicated_resources = 4;