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public static final class FeaturestoreMonitoringConfig.Builder extends GeneratedMessageV3.Builder<FeaturestoreMonitoringConfig.Builder> implements FeaturestoreMonitoringConfigOrBuilder
Configuration of how features in Featurestore are monitored.
Protobuf type google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig
Inheritance
Object > AbstractMessageLite.Builder<MessageType,BuilderType> > AbstractMessage.Builder<BuilderType> > GeneratedMessageV3.Builder > FeaturestoreMonitoringConfig.BuilderImplements
FeaturestoreMonitoringConfigOrBuilderStatic Methods
getDescriptor()
public static final Descriptors.Descriptor getDescriptor()
Returns | |
---|---|
Type | Description |
Descriptor |
Methods
addRepeatedField(Descriptors.FieldDescriptor field, Object value)
public FeaturestoreMonitoringConfig.Builder addRepeatedField(Descriptors.FieldDescriptor field, Object value)
Parameters | |
---|---|
Name | Description |
field |
FieldDescriptor |
value |
Object |
Returns | |
---|---|
Type | Description |
FeaturestoreMonitoringConfig.Builder |
build()
public FeaturestoreMonitoringConfig build()
Returns | |
---|---|
Type | Description |
FeaturestoreMonitoringConfig |
buildPartial()
public FeaturestoreMonitoringConfig buildPartial()
Returns | |
---|---|
Type | Description |
FeaturestoreMonitoringConfig |
clear()
public FeaturestoreMonitoringConfig.Builder clear()
Returns | |
---|---|
Type | Description |
FeaturestoreMonitoringConfig.Builder |
clearCategoricalThresholdConfig()
public FeaturestoreMonitoringConfig.Builder clearCategoricalThresholdConfig()
Threshold for categorical features of anomaly detection. This is shared by all types of Featurestore Monitoring for categorical features (i.e. Features with type (Feature.ValueType) BOOL or STRING).
.google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ThresholdConfig categorical_threshold_config = 4;
Returns | |
---|---|
Type | Description |
FeaturestoreMonitoringConfig.Builder |
clearField(Descriptors.FieldDescriptor field)
public FeaturestoreMonitoringConfig.Builder clearField(Descriptors.FieldDescriptor field)
Parameter | |
---|---|
Name | Description |
field |
FieldDescriptor |
Returns | |
---|---|
Type | Description |
FeaturestoreMonitoringConfig.Builder |
clearImportFeaturesAnalysis()
public FeaturestoreMonitoringConfig.Builder clearImportFeaturesAnalysis()
The config for ImportFeatures Analysis Based Feature Monitoring.
.google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ImportFeaturesAnalysis import_features_analysis = 2;
Returns | |
---|---|
Type | Description |
FeaturestoreMonitoringConfig.Builder |
clearNumericalThresholdConfig()
public FeaturestoreMonitoringConfig.Builder clearNumericalThresholdConfig()
Threshold for numerical features of anomaly detection. This is shared by all objectives of Featurestore Monitoring for numerical features (i.e. Features with type (Feature.ValueType) DOUBLE or INT64).
.google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ThresholdConfig numerical_threshold_config = 3;
Returns | |
---|---|
Type | Description |
FeaturestoreMonitoringConfig.Builder |
clearOneof(Descriptors.OneofDescriptor oneof)
public FeaturestoreMonitoringConfig.Builder clearOneof(Descriptors.OneofDescriptor oneof)
Parameter | |
---|---|
Name | Description |
oneof |
OneofDescriptor |
Returns | |
---|---|
Type | Description |
FeaturestoreMonitoringConfig.Builder |
clearSnapshotAnalysis()
public FeaturestoreMonitoringConfig.Builder clearSnapshotAnalysis()
The config for Snapshot Analysis Based Feature Monitoring.
.google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.SnapshotAnalysis snapshot_analysis = 1;
Returns | |
---|---|
Type | Description |
FeaturestoreMonitoringConfig.Builder |
clone()
public FeaturestoreMonitoringConfig.Builder clone()
Returns | |
---|---|
Type | Description |
FeaturestoreMonitoringConfig.Builder |
getCategoricalThresholdConfig()
public FeaturestoreMonitoringConfig.ThresholdConfig getCategoricalThresholdConfig()
Threshold for categorical features of anomaly detection. This is shared by all types of Featurestore Monitoring for categorical features (i.e. Features with type (Feature.ValueType) BOOL or STRING).
.google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ThresholdConfig categorical_threshold_config = 4;
Returns | |
---|---|
Type | Description |
FeaturestoreMonitoringConfig.ThresholdConfig |
The categoricalThresholdConfig. |
getCategoricalThresholdConfigBuilder()
public FeaturestoreMonitoringConfig.ThresholdConfig.Builder getCategoricalThresholdConfigBuilder()
Threshold for categorical features of anomaly detection. This is shared by all types of Featurestore Monitoring for categorical features (i.e. Features with type (Feature.ValueType) BOOL or STRING).
.google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ThresholdConfig categorical_threshold_config = 4;
Returns | |
---|---|
Type | Description |
FeaturestoreMonitoringConfig.ThresholdConfig.Builder |
getCategoricalThresholdConfigOrBuilder()
public FeaturestoreMonitoringConfig.ThresholdConfigOrBuilder getCategoricalThresholdConfigOrBuilder()
Threshold for categorical features of anomaly detection. This is shared by all types of Featurestore Monitoring for categorical features (i.e. Features with type (Feature.ValueType) BOOL or STRING).
.google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ThresholdConfig categorical_threshold_config = 4;
Returns | |
---|---|
Type | Description |
FeaturestoreMonitoringConfig.ThresholdConfigOrBuilder |
getDefaultInstanceForType()
public FeaturestoreMonitoringConfig getDefaultInstanceForType()
Returns | |
---|---|
Type | Description |
FeaturestoreMonitoringConfig |
getDescriptorForType()
public Descriptors.Descriptor getDescriptorForType()
Returns | |
---|---|
Type | Description |
Descriptor |
getImportFeaturesAnalysis()
public FeaturestoreMonitoringConfig.ImportFeaturesAnalysis getImportFeaturesAnalysis()
The config for ImportFeatures Analysis Based Feature Monitoring.
.google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ImportFeaturesAnalysis import_features_analysis = 2;
Returns | |
---|---|
Type | Description |
FeaturestoreMonitoringConfig.ImportFeaturesAnalysis |
The importFeaturesAnalysis. |
getImportFeaturesAnalysisBuilder()
public FeaturestoreMonitoringConfig.ImportFeaturesAnalysis.Builder getImportFeaturesAnalysisBuilder()
The config for ImportFeatures Analysis Based Feature Monitoring.
.google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ImportFeaturesAnalysis import_features_analysis = 2;
Returns | |
---|---|
Type | Description |
FeaturestoreMonitoringConfig.ImportFeaturesAnalysis.Builder |
getImportFeaturesAnalysisOrBuilder()
public FeaturestoreMonitoringConfig.ImportFeaturesAnalysisOrBuilder getImportFeaturesAnalysisOrBuilder()
The config for ImportFeatures Analysis Based Feature Monitoring.
.google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ImportFeaturesAnalysis import_features_analysis = 2;
Returns | |
---|---|
Type | Description |
FeaturestoreMonitoringConfig.ImportFeaturesAnalysisOrBuilder |
getNumericalThresholdConfig()
public FeaturestoreMonitoringConfig.ThresholdConfig getNumericalThresholdConfig()
Threshold for numerical features of anomaly detection. This is shared by all objectives of Featurestore Monitoring for numerical features (i.e. Features with type (Feature.ValueType) DOUBLE or INT64).
.google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ThresholdConfig numerical_threshold_config = 3;
Returns | |
---|---|
Type | Description |
FeaturestoreMonitoringConfig.ThresholdConfig |
The numericalThresholdConfig. |
getNumericalThresholdConfigBuilder()
public FeaturestoreMonitoringConfig.ThresholdConfig.Builder getNumericalThresholdConfigBuilder()
Threshold for numerical features of anomaly detection. This is shared by all objectives of Featurestore Monitoring for numerical features (i.e. Features with type (Feature.ValueType) DOUBLE or INT64).
.google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ThresholdConfig numerical_threshold_config = 3;
Returns | |
---|---|
Type | Description |
FeaturestoreMonitoringConfig.ThresholdConfig.Builder |
getNumericalThresholdConfigOrBuilder()
public FeaturestoreMonitoringConfig.ThresholdConfigOrBuilder getNumericalThresholdConfigOrBuilder()
Threshold for numerical features of anomaly detection. This is shared by all objectives of Featurestore Monitoring for numerical features (i.e. Features with type (Feature.ValueType) DOUBLE or INT64).
.google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ThresholdConfig numerical_threshold_config = 3;
Returns | |
---|---|
Type | Description |
FeaturestoreMonitoringConfig.ThresholdConfigOrBuilder |
getSnapshotAnalysis()
public FeaturestoreMonitoringConfig.SnapshotAnalysis getSnapshotAnalysis()
The config for Snapshot Analysis Based Feature Monitoring.
.google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.SnapshotAnalysis snapshot_analysis = 1;
Returns | |
---|---|
Type | Description |
FeaturestoreMonitoringConfig.SnapshotAnalysis |
The snapshotAnalysis. |
getSnapshotAnalysisBuilder()
public FeaturestoreMonitoringConfig.SnapshotAnalysis.Builder getSnapshotAnalysisBuilder()
The config for Snapshot Analysis Based Feature Monitoring.
.google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.SnapshotAnalysis snapshot_analysis = 1;
Returns | |
---|---|
Type | Description |
FeaturestoreMonitoringConfig.SnapshotAnalysis.Builder |
getSnapshotAnalysisOrBuilder()
public FeaturestoreMonitoringConfig.SnapshotAnalysisOrBuilder getSnapshotAnalysisOrBuilder()
The config for Snapshot Analysis Based Feature Monitoring.
.google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.SnapshotAnalysis snapshot_analysis = 1;
Returns | |
---|---|
Type | Description |
FeaturestoreMonitoringConfig.SnapshotAnalysisOrBuilder |
hasCategoricalThresholdConfig()
public boolean hasCategoricalThresholdConfig()
Threshold for categorical features of anomaly detection. This is shared by all types of Featurestore Monitoring for categorical features (i.e. Features with type (Feature.ValueType) BOOL or STRING).
.google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ThresholdConfig categorical_threshold_config = 4;
Returns | |
---|---|
Type | Description |
boolean |
Whether the categoricalThresholdConfig field is set. |
hasImportFeaturesAnalysis()
public boolean hasImportFeaturesAnalysis()
The config for ImportFeatures Analysis Based Feature Monitoring.
.google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ImportFeaturesAnalysis import_features_analysis = 2;
Returns | |
---|---|
Type | Description |
boolean |
Whether the importFeaturesAnalysis field is set. |
hasNumericalThresholdConfig()
public boolean hasNumericalThresholdConfig()
Threshold for numerical features of anomaly detection. This is shared by all objectives of Featurestore Monitoring for numerical features (i.e. Features with type (Feature.ValueType) DOUBLE or INT64).
.google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ThresholdConfig numerical_threshold_config = 3;
Returns | |
---|---|
Type | Description |
boolean |
Whether the numericalThresholdConfig field is set. |
hasSnapshotAnalysis()
public boolean hasSnapshotAnalysis()
The config for Snapshot Analysis Based Feature Monitoring.
.google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.SnapshotAnalysis snapshot_analysis = 1;
Returns | |
---|---|
Type | Description |
boolean |
Whether the snapshotAnalysis field is set. |
internalGetFieldAccessorTable()
protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
Returns | |
---|---|
Type | Description |
FieldAccessorTable |
isInitialized()
public final boolean isInitialized()
Returns | |
---|---|
Type | Description |
boolean |
mergeCategoricalThresholdConfig(FeaturestoreMonitoringConfig.ThresholdConfig value)
public FeaturestoreMonitoringConfig.Builder mergeCategoricalThresholdConfig(FeaturestoreMonitoringConfig.ThresholdConfig value)
Threshold for categorical features of anomaly detection. This is shared by all types of Featurestore Monitoring for categorical features (i.e. Features with type (Feature.ValueType) BOOL or STRING).
.google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ThresholdConfig categorical_threshold_config = 4;
Parameter | |
---|---|
Name | Description |
value |
FeaturestoreMonitoringConfig.ThresholdConfig |
Returns | |
---|---|
Type | Description |
FeaturestoreMonitoringConfig.Builder |
mergeFrom(FeaturestoreMonitoringConfig other)
public FeaturestoreMonitoringConfig.Builder mergeFrom(FeaturestoreMonitoringConfig other)
Parameter | |
---|---|
Name | Description |
other |
FeaturestoreMonitoringConfig |
Returns | |
---|---|
Type | Description |
FeaturestoreMonitoringConfig.Builder |
mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
public FeaturestoreMonitoringConfig.Builder mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
Parameters | |
---|---|
Name | Description |
input |
CodedInputStream |
extensionRegistry |
ExtensionRegistryLite |
Returns | |
---|---|
Type | Description |
FeaturestoreMonitoringConfig.Builder |
Exceptions | |
---|---|
Type | Description |
IOException |
mergeFrom(Message other)
public FeaturestoreMonitoringConfig.Builder mergeFrom(Message other)
Parameter | |
---|---|
Name | Description |
other |
Message |
Returns | |
---|---|
Type | Description |
FeaturestoreMonitoringConfig.Builder |
mergeImportFeaturesAnalysis(FeaturestoreMonitoringConfig.ImportFeaturesAnalysis value)
public FeaturestoreMonitoringConfig.Builder mergeImportFeaturesAnalysis(FeaturestoreMonitoringConfig.ImportFeaturesAnalysis value)
The config for ImportFeatures Analysis Based Feature Monitoring.
.google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ImportFeaturesAnalysis import_features_analysis = 2;
Parameter | |
---|---|
Name | Description |
value |
FeaturestoreMonitoringConfig.ImportFeaturesAnalysis |
Returns | |
---|---|
Type | Description |
FeaturestoreMonitoringConfig.Builder |
mergeNumericalThresholdConfig(FeaturestoreMonitoringConfig.ThresholdConfig value)
public FeaturestoreMonitoringConfig.Builder mergeNumericalThresholdConfig(FeaturestoreMonitoringConfig.ThresholdConfig value)
Threshold for numerical features of anomaly detection. This is shared by all objectives of Featurestore Monitoring for numerical features (i.e. Features with type (Feature.ValueType) DOUBLE or INT64).
.google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ThresholdConfig numerical_threshold_config = 3;
Parameter | |
---|---|
Name | Description |
value |
FeaturestoreMonitoringConfig.ThresholdConfig |
Returns | |
---|---|
Type | Description |
FeaturestoreMonitoringConfig.Builder |
mergeSnapshotAnalysis(FeaturestoreMonitoringConfig.SnapshotAnalysis value)
public FeaturestoreMonitoringConfig.Builder mergeSnapshotAnalysis(FeaturestoreMonitoringConfig.SnapshotAnalysis value)
The config for Snapshot Analysis Based Feature Monitoring.
.google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.SnapshotAnalysis snapshot_analysis = 1;
Parameter | |
---|---|
Name | Description |
value |
FeaturestoreMonitoringConfig.SnapshotAnalysis |
Returns | |
---|---|
Type | Description |
FeaturestoreMonitoringConfig.Builder |
mergeUnknownFields(UnknownFieldSet unknownFields)
public final FeaturestoreMonitoringConfig.Builder mergeUnknownFields(UnknownFieldSet unknownFields)
Parameter | |
---|---|
Name | Description |
unknownFields |
UnknownFieldSet |
Returns | |
---|---|
Type | Description |
FeaturestoreMonitoringConfig.Builder |
setCategoricalThresholdConfig(FeaturestoreMonitoringConfig.ThresholdConfig value)
public FeaturestoreMonitoringConfig.Builder setCategoricalThresholdConfig(FeaturestoreMonitoringConfig.ThresholdConfig value)
Threshold for categorical features of anomaly detection. This is shared by all types of Featurestore Monitoring for categorical features (i.e. Features with type (Feature.ValueType) BOOL or STRING).
.google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ThresholdConfig categorical_threshold_config = 4;
Parameter | |
---|---|
Name | Description |
value |
FeaturestoreMonitoringConfig.ThresholdConfig |
Returns | |
---|---|
Type | Description |
FeaturestoreMonitoringConfig.Builder |
setCategoricalThresholdConfig(FeaturestoreMonitoringConfig.ThresholdConfig.Builder builderForValue)
public FeaturestoreMonitoringConfig.Builder setCategoricalThresholdConfig(FeaturestoreMonitoringConfig.ThresholdConfig.Builder builderForValue)
Threshold for categorical features of anomaly detection. This is shared by all types of Featurestore Monitoring for categorical features (i.e. Features with type (Feature.ValueType) BOOL or STRING).
.google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ThresholdConfig categorical_threshold_config = 4;
Parameter | |
---|---|
Name | Description |
builderForValue |
FeaturestoreMonitoringConfig.ThresholdConfig.Builder |
Returns | |
---|---|
Type | Description |
FeaturestoreMonitoringConfig.Builder |
setField(Descriptors.FieldDescriptor field, Object value)
public FeaturestoreMonitoringConfig.Builder setField(Descriptors.FieldDescriptor field, Object value)
Parameters | |
---|---|
Name | Description |
field |
FieldDescriptor |
value |
Object |
Returns | |
---|---|
Type | Description |
FeaturestoreMonitoringConfig.Builder |
setImportFeaturesAnalysis(FeaturestoreMonitoringConfig.ImportFeaturesAnalysis value)
public FeaturestoreMonitoringConfig.Builder setImportFeaturesAnalysis(FeaturestoreMonitoringConfig.ImportFeaturesAnalysis value)
The config for ImportFeatures Analysis Based Feature Monitoring.
.google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ImportFeaturesAnalysis import_features_analysis = 2;
Parameter | |
---|---|
Name | Description |
value |
FeaturestoreMonitoringConfig.ImportFeaturesAnalysis |
Returns | |
---|---|
Type | Description |
FeaturestoreMonitoringConfig.Builder |
setImportFeaturesAnalysis(FeaturestoreMonitoringConfig.ImportFeaturesAnalysis.Builder builderForValue)
public FeaturestoreMonitoringConfig.Builder setImportFeaturesAnalysis(FeaturestoreMonitoringConfig.ImportFeaturesAnalysis.Builder builderForValue)
The config for ImportFeatures Analysis Based Feature Monitoring.
.google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ImportFeaturesAnalysis import_features_analysis = 2;
Parameter | |
---|---|
Name | Description |
builderForValue |
FeaturestoreMonitoringConfig.ImportFeaturesAnalysis.Builder |
Returns | |
---|---|
Type | Description |
FeaturestoreMonitoringConfig.Builder |
setNumericalThresholdConfig(FeaturestoreMonitoringConfig.ThresholdConfig value)
public FeaturestoreMonitoringConfig.Builder setNumericalThresholdConfig(FeaturestoreMonitoringConfig.ThresholdConfig value)
Threshold for numerical features of anomaly detection. This is shared by all objectives of Featurestore Monitoring for numerical features (i.e. Features with type (Feature.ValueType) DOUBLE or INT64).
.google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ThresholdConfig numerical_threshold_config = 3;
Parameter | |
---|---|
Name | Description |
value |
FeaturestoreMonitoringConfig.ThresholdConfig |
Returns | |
---|---|
Type | Description |
FeaturestoreMonitoringConfig.Builder |
setNumericalThresholdConfig(FeaturestoreMonitoringConfig.ThresholdConfig.Builder builderForValue)
public FeaturestoreMonitoringConfig.Builder setNumericalThresholdConfig(FeaturestoreMonitoringConfig.ThresholdConfig.Builder builderForValue)
Threshold for numerical features of anomaly detection. This is shared by all objectives of Featurestore Monitoring for numerical features (i.e. Features with type (Feature.ValueType) DOUBLE or INT64).
.google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ThresholdConfig numerical_threshold_config = 3;
Parameter | |
---|---|
Name | Description |
builderForValue |
FeaturestoreMonitoringConfig.ThresholdConfig.Builder |
Returns | |
---|---|
Type | Description |
FeaturestoreMonitoringConfig.Builder |
setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)
public FeaturestoreMonitoringConfig.Builder setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)
Parameters | |
---|---|
Name | Description |
field |
FieldDescriptor |
index |
int |
value |
Object |
Returns | |
---|---|
Type | Description |
FeaturestoreMonitoringConfig.Builder |
setSnapshotAnalysis(FeaturestoreMonitoringConfig.SnapshotAnalysis value)
public FeaturestoreMonitoringConfig.Builder setSnapshotAnalysis(FeaturestoreMonitoringConfig.SnapshotAnalysis value)
The config for Snapshot Analysis Based Feature Monitoring.
.google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.SnapshotAnalysis snapshot_analysis = 1;
Parameter | |
---|---|
Name | Description |
value |
FeaturestoreMonitoringConfig.SnapshotAnalysis |
Returns | |
---|---|
Type | Description |
FeaturestoreMonitoringConfig.Builder |
setSnapshotAnalysis(FeaturestoreMonitoringConfig.SnapshotAnalysis.Builder builderForValue)
public FeaturestoreMonitoringConfig.Builder setSnapshotAnalysis(FeaturestoreMonitoringConfig.SnapshotAnalysis.Builder builderForValue)
The config for Snapshot Analysis Based Feature Monitoring.
.google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.SnapshotAnalysis snapshot_analysis = 1;
Parameter | |
---|---|
Name | Description |
builderForValue |
FeaturestoreMonitoringConfig.SnapshotAnalysis.Builder |
Returns | |
---|---|
Type | Description |
FeaturestoreMonitoringConfig.Builder |
setUnknownFields(UnknownFieldSet unknownFields)
public final FeaturestoreMonitoringConfig.Builder setUnknownFields(UnknownFieldSet unknownFields)
Parameter | |
---|---|
Name | Description |
unknownFields |
UnknownFieldSet |
Returns | |
---|---|
Type | Description |
FeaturestoreMonitoringConfig.Builder |