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public static final class ModelMonitoringObjectiveSpec.FeatureAttributionSpec.Builder extends GeneratedMessageV3.Builder<ModelMonitoringObjectiveSpec.FeatureAttributionSpec.Builder> implements ModelMonitoringObjectiveSpec.FeatureAttributionSpecOrBuilder
Feature attribution monitoring spec.
Protobuf type
google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveSpec.FeatureAttributionSpec
Inheritance
Object > AbstractMessageLite.Builder<MessageType,BuilderType> > AbstractMessage.Builder<BuilderType> > GeneratedMessageV3.Builder > ModelMonitoringObjectiveSpec.FeatureAttributionSpec.BuilderInherited Members
Static Methods
getDescriptor()
public static final Descriptors.Descriptor getDescriptor()
Returns | |
---|---|
Type | Description |
Descriptor |
Methods
addAllFeatures(Iterable<String> values)
public ModelMonitoringObjectiveSpec.FeatureAttributionSpec.Builder addAllFeatures(Iterable<String> values)
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 | |
---|---|
Type | Description |
ModelMonitoringObjectiveSpec.FeatureAttributionSpec.Builder |
This builder for chaining. |
addFeatures(String value)
public ModelMonitoringObjectiveSpec.FeatureAttributionSpec.Builder addFeatures(String value)
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;
Parameter | |
---|---|
Name | Description |
value |
String The features to add. |
Returns | |
---|---|
Type | Description |
ModelMonitoringObjectiveSpec.FeatureAttributionSpec.Builder |
This builder for chaining. |
addFeaturesBytes(ByteString value)
public ModelMonitoringObjectiveSpec.FeatureAttributionSpec.Builder addFeaturesBytes(ByteString value)
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;
Parameter | |
---|---|
Name | Description |
value |
ByteString The bytes of the features to add. |
Returns | |
---|---|
Type | Description |
ModelMonitoringObjectiveSpec.FeatureAttributionSpec.Builder |
This builder for chaining. |
addRepeatedField(Descriptors.FieldDescriptor field, Object value)
public ModelMonitoringObjectiveSpec.FeatureAttributionSpec.Builder addRepeatedField(Descriptors.FieldDescriptor field, Object value)
Parameters | |
---|---|
Name | Description |
field |
FieldDescriptor |
value |
Object |
Returns | |
---|---|
Type | Description |
ModelMonitoringObjectiveSpec.FeatureAttributionSpec.Builder |
build()
public ModelMonitoringObjectiveSpec.FeatureAttributionSpec build()
Returns | |
---|---|
Type | Description |
ModelMonitoringObjectiveSpec.FeatureAttributionSpec |
buildPartial()
public ModelMonitoringObjectiveSpec.FeatureAttributionSpec buildPartial()
Returns | |
---|---|
Type | Description |
ModelMonitoringObjectiveSpec.FeatureAttributionSpec |
clear()
public ModelMonitoringObjectiveSpec.FeatureAttributionSpec.Builder clear()
Returns | |
---|---|
Type | Description |
ModelMonitoringObjectiveSpec.FeatureAttributionSpec.Builder |
clearBatchExplanationDedicatedResources()
public ModelMonitoringObjectiveSpec.FeatureAttributionSpec.Builder clearBatchExplanationDedicatedResources()
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 | |
---|---|
Type | Description |
ModelMonitoringObjectiveSpec.FeatureAttributionSpec.Builder |
clearDefaultAlertCondition()
public ModelMonitoringObjectiveSpec.FeatureAttributionSpec.Builder clearDefaultAlertCondition()
Default alert condition for all the features.
.google.cloud.aiplatform.v1beta1.ModelMonitoringAlertCondition default_alert_condition = 2;
Returns | |
---|---|
Type | Description |
ModelMonitoringObjectiveSpec.FeatureAttributionSpec.Builder |
clearFeatureAlertConditions()
public ModelMonitoringObjectiveSpec.FeatureAttributionSpec.Builder clearFeatureAlertConditions()
Returns | |
---|---|
Type | Description |
ModelMonitoringObjectiveSpec.FeatureAttributionSpec.Builder |
clearFeatures()
public ModelMonitoringObjectiveSpec.FeatureAttributionSpec.Builder clearFeatures()
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 | |
---|---|
Type | Description |
ModelMonitoringObjectiveSpec.FeatureAttributionSpec.Builder |
This builder for chaining. |
clearField(Descriptors.FieldDescriptor field)
public ModelMonitoringObjectiveSpec.FeatureAttributionSpec.Builder clearField(Descriptors.FieldDescriptor field)
Parameter | |
---|---|
Name | Description |
field |
FieldDescriptor |
Returns | |
---|---|
Type | Description |
ModelMonitoringObjectiveSpec.FeatureAttributionSpec.Builder |
clearOneof(Descriptors.OneofDescriptor oneof)
public ModelMonitoringObjectiveSpec.FeatureAttributionSpec.Builder clearOneof(Descriptors.OneofDescriptor oneof)
Parameter | |
---|---|
Name | Description |
oneof |
OneofDescriptor |
Returns | |
---|---|
Type | Description |
ModelMonitoringObjectiveSpec.FeatureAttributionSpec.Builder |
clone()
public ModelMonitoringObjectiveSpec.FeatureAttributionSpec.Builder clone()
Returns | |
---|---|
Type | Description |
ModelMonitoringObjectiveSpec.FeatureAttributionSpec.Builder |
containsFeatureAlertConditions(String key)
public boolean containsFeatureAlertConditions(String key)
Per feature alert condition will override default alert condition.
map<string, .google.cloud.aiplatform.v1beta1.ModelMonitoringAlertCondition> feature_alert_conditions = 3;
Parameter | |
---|---|
Name | Description |
key |
String |
Returns | |
---|---|
Type | Description |
boolean |
getBatchExplanationDedicatedResources()
public 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 | |
---|---|
Type | Description |
BatchDedicatedResources |
The batchExplanationDedicatedResources. |
getBatchExplanationDedicatedResourcesBuilder()
public BatchDedicatedResources.Builder getBatchExplanationDedicatedResourcesBuilder()
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 | |
---|---|
Type | Description |
BatchDedicatedResources.Builder |
getBatchExplanationDedicatedResourcesOrBuilder()
public 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;
Returns | |
---|---|
Type | Description |
BatchDedicatedResourcesOrBuilder |
getDefaultAlertCondition()
public ModelMonitoringAlertCondition getDefaultAlertCondition()
Default alert condition for all the features.
.google.cloud.aiplatform.v1beta1.ModelMonitoringAlertCondition default_alert_condition = 2;
Returns | |
---|---|
Type | Description |
ModelMonitoringAlertCondition |
The defaultAlertCondition. |
getDefaultAlertConditionBuilder()
public ModelMonitoringAlertCondition.Builder getDefaultAlertConditionBuilder()
Default alert condition for all the features.
.google.cloud.aiplatform.v1beta1.ModelMonitoringAlertCondition default_alert_condition = 2;
Returns | |
---|---|
Type | Description |
ModelMonitoringAlertCondition.Builder |
getDefaultAlertConditionOrBuilder()
public ModelMonitoringAlertConditionOrBuilder getDefaultAlertConditionOrBuilder()
Default alert condition for all the features.
.google.cloud.aiplatform.v1beta1.ModelMonitoringAlertCondition default_alert_condition = 2;
Returns | |
---|---|
Type | Description |
ModelMonitoringAlertConditionOrBuilder |
getDefaultInstanceForType()
public ModelMonitoringObjectiveSpec.FeatureAttributionSpec getDefaultInstanceForType()
Returns | |
---|---|
Type | Description |
ModelMonitoringObjectiveSpec.FeatureAttributionSpec |
getDescriptorForType()
public Descriptors.Descriptor getDescriptorForType()
Returns | |
---|---|
Type | Description |
Descriptor |
getFeatureAlertConditions() (deprecated)
public Map<String,ModelMonitoringAlertCondition> getFeatureAlertConditions()
Use #getFeatureAlertConditionsMap() instead.
Returns | |
---|---|
Type | Description |
Map<String,ModelMonitoringAlertCondition> |
getFeatureAlertConditionsCount()
public int getFeatureAlertConditionsCount()
Per feature alert condition will override default alert condition.
map<string, .google.cloud.aiplatform.v1beta1.ModelMonitoringAlertCondition> feature_alert_conditions = 3;
Returns | |
---|---|
Type | Description |
int |
getFeatureAlertConditionsMap()
public Map<String,ModelMonitoringAlertCondition> getFeatureAlertConditionsMap()
Per feature alert condition will override default alert condition.
map<string, .google.cloud.aiplatform.v1beta1.ModelMonitoringAlertCondition> feature_alert_conditions = 3;
Returns | |
---|---|
Type | Description |
Map<String,ModelMonitoringAlertCondition> |
getFeatureAlertConditionsOrDefault(String key, ModelMonitoringAlertCondition defaultValue)
public 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;
Parameters | |
---|---|
Name | Description |
key |
String |
defaultValue |
ModelMonitoringAlertCondition |
Returns | |
---|---|
Type | Description |
ModelMonitoringAlertCondition |
getFeatureAlertConditionsOrThrow(String key)
public ModelMonitoringAlertCondition getFeatureAlertConditionsOrThrow(String key)
Per feature alert condition will override default alert condition.
map<string, .google.cloud.aiplatform.v1beta1.ModelMonitoringAlertCondition> feature_alert_conditions = 3;
Parameter | |
---|---|
Name | Description |
key |
String |
Returns | |
---|---|
Type | Description |
ModelMonitoringAlertCondition |
getFeatures(int index)
public 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;
Parameter | |
---|---|
Name | Description |
index |
int The index of the element to return. |
Returns | |
---|---|
Type | Description |
String |
The features at the given index. |
getFeaturesBytes(int index)
public 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;
Parameter | |
---|---|
Name | Description |
index |
int The index of the value to return. |
Returns | |
---|---|
Type | Description |
ByteString |
The bytes of the features at the given index. |
getFeaturesCount()
public 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 | |
---|---|
Type | Description |
int |
The count of features. |
getFeaturesList()
public ProtocolStringList 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 | |
---|---|
Type | Description |
ProtocolStringList |
A list containing the features. |
getMutableFeatureAlertConditions() (deprecated)
public Map<String,ModelMonitoringAlertCondition> getMutableFeatureAlertConditions()
Use alternate mutation accessors instead.
Returns | |
---|---|
Type | Description |
Map<String,ModelMonitoringAlertCondition> |
hasBatchExplanationDedicatedResources()
public 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 | |
---|---|
Type | Description |
boolean |
Whether the batchExplanationDedicatedResources field is set. |
hasDefaultAlertCondition()
public boolean hasDefaultAlertCondition()
Default alert condition for all the features.
.google.cloud.aiplatform.v1beta1.ModelMonitoringAlertCondition default_alert_condition = 2;
Returns | |
---|---|
Type | Description |
boolean |
Whether the defaultAlertCondition field is set. |
internalGetFieldAccessorTable()
protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
Returns | |
---|---|
Type | Description |
FieldAccessorTable |
internalGetMapFieldReflection(int number)
protected MapFieldReflectionAccessor internalGetMapFieldReflection(int number)
Parameter | |
---|---|
Name | Description |
number |
int |
Returns | |
---|---|
Type | Description |
com.google.protobuf.MapFieldReflectionAccessor |
internalGetMutableMapFieldReflection(int number)
protected MapFieldReflectionAccessor internalGetMutableMapFieldReflection(int number)
Parameter | |
---|---|
Name | Description |
number |
int |
Returns | |
---|---|
Type | Description |
com.google.protobuf.MapFieldReflectionAccessor |
isInitialized()
public final boolean isInitialized()
Returns | |
---|---|
Type | Description |
boolean |
mergeBatchExplanationDedicatedResources(BatchDedicatedResources value)
public ModelMonitoringObjectiveSpec.FeatureAttributionSpec.Builder mergeBatchExplanationDedicatedResources(BatchDedicatedResources value)
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;
Parameter | |
---|---|
Name | Description |
value |
BatchDedicatedResources |
Returns | |
---|---|
Type | Description |
ModelMonitoringObjectiveSpec.FeatureAttributionSpec.Builder |
mergeDefaultAlertCondition(ModelMonitoringAlertCondition value)
public ModelMonitoringObjectiveSpec.FeatureAttributionSpec.Builder mergeDefaultAlertCondition(ModelMonitoringAlertCondition value)
Default alert condition for all the features.
.google.cloud.aiplatform.v1beta1.ModelMonitoringAlertCondition default_alert_condition = 2;
Parameter | |
---|---|
Name | Description |
value |
ModelMonitoringAlertCondition |
Returns | |
---|---|
Type | Description |
ModelMonitoringObjectiveSpec.FeatureAttributionSpec.Builder |
mergeFrom(ModelMonitoringObjectiveSpec.FeatureAttributionSpec other)
public ModelMonitoringObjectiveSpec.FeatureAttributionSpec.Builder mergeFrom(ModelMonitoringObjectiveSpec.FeatureAttributionSpec other)
Parameter | |
---|---|
Name | Description |
other |
ModelMonitoringObjectiveSpec.FeatureAttributionSpec |
Returns | |
---|---|
Type | Description |
ModelMonitoringObjectiveSpec.FeatureAttributionSpec.Builder |
mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
public ModelMonitoringObjectiveSpec.FeatureAttributionSpec.Builder mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
Parameters | |
---|---|
Name | Description |
input |
CodedInputStream |
extensionRegistry |
ExtensionRegistryLite |
Returns | |
---|---|
Type | Description |
ModelMonitoringObjectiveSpec.FeatureAttributionSpec.Builder |
Exceptions | |
---|---|
Type | Description |
IOException |
mergeFrom(Message other)
public ModelMonitoringObjectiveSpec.FeatureAttributionSpec.Builder mergeFrom(Message other)
Parameter | |
---|---|
Name | Description |
other |
Message |
Returns | |
---|---|
Type | Description |
ModelMonitoringObjectiveSpec.FeatureAttributionSpec.Builder |
mergeUnknownFields(UnknownFieldSet unknownFields)
public final ModelMonitoringObjectiveSpec.FeatureAttributionSpec.Builder mergeUnknownFields(UnknownFieldSet unknownFields)
Parameter | |
---|---|
Name | Description |
unknownFields |
UnknownFieldSet |
Returns | |
---|---|
Type | Description |
ModelMonitoringObjectiveSpec.FeatureAttributionSpec.Builder |
putAllFeatureAlertConditions(Map<String,ModelMonitoringAlertCondition> values)
public ModelMonitoringObjectiveSpec.FeatureAttributionSpec.Builder putAllFeatureAlertConditions(Map<String,ModelMonitoringAlertCondition> values)
Per feature alert condition will override default alert condition.
map<string, .google.cloud.aiplatform.v1beta1.ModelMonitoringAlertCondition> feature_alert_conditions = 3;
Parameter | |
---|---|
Name | Description |
values |
Map<String,ModelMonitoringAlertCondition> |
Returns | |
---|---|
Type | Description |
ModelMonitoringObjectiveSpec.FeatureAttributionSpec.Builder |
putFeatureAlertConditions(String key, ModelMonitoringAlertCondition value)
public ModelMonitoringObjectiveSpec.FeatureAttributionSpec.Builder putFeatureAlertConditions(String key, ModelMonitoringAlertCondition value)
Per feature alert condition will override default alert condition.
map<string, .google.cloud.aiplatform.v1beta1.ModelMonitoringAlertCondition> feature_alert_conditions = 3;
Parameters | |
---|---|
Name | Description |
key |
String |
value |
ModelMonitoringAlertCondition |
Returns | |
---|---|
Type | Description |
ModelMonitoringObjectiveSpec.FeatureAttributionSpec.Builder |
putFeatureAlertConditionsBuilderIfAbsent(String key)
public ModelMonitoringAlertCondition.Builder putFeatureAlertConditionsBuilderIfAbsent(String key)
Per feature alert condition will override default alert condition.
map<string, .google.cloud.aiplatform.v1beta1.ModelMonitoringAlertCondition> feature_alert_conditions = 3;
Parameter | |
---|---|
Name | Description |
key |
String |
Returns | |
---|---|
Type | Description |
ModelMonitoringAlertCondition.Builder |
removeFeatureAlertConditions(String key)
public ModelMonitoringObjectiveSpec.FeatureAttributionSpec.Builder removeFeatureAlertConditions(String key)
Per feature alert condition will override default alert condition.
map<string, .google.cloud.aiplatform.v1beta1.ModelMonitoringAlertCondition> feature_alert_conditions = 3;
Parameter | |
---|---|
Name | Description |
key |
String |
Returns | |
---|---|
Type | Description |
ModelMonitoringObjectiveSpec.FeatureAttributionSpec.Builder |
setBatchExplanationDedicatedResources(BatchDedicatedResources value)
public ModelMonitoringObjectiveSpec.FeatureAttributionSpec.Builder setBatchExplanationDedicatedResources(BatchDedicatedResources value)
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;
Parameter | |
---|---|
Name | Description |
value |
BatchDedicatedResources |
Returns | |
---|---|
Type | Description |
ModelMonitoringObjectiveSpec.FeatureAttributionSpec.Builder |
setBatchExplanationDedicatedResources(BatchDedicatedResources.Builder builderForValue)
public ModelMonitoringObjectiveSpec.FeatureAttributionSpec.Builder setBatchExplanationDedicatedResources(BatchDedicatedResources.Builder builderForValue)
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;
Parameter | |
---|---|
Name | Description |
builderForValue |
BatchDedicatedResources.Builder |
Returns | |
---|---|
Type | Description |
ModelMonitoringObjectiveSpec.FeatureAttributionSpec.Builder |
setDefaultAlertCondition(ModelMonitoringAlertCondition value)
public ModelMonitoringObjectiveSpec.FeatureAttributionSpec.Builder setDefaultAlertCondition(ModelMonitoringAlertCondition value)
Default alert condition for all the features.
.google.cloud.aiplatform.v1beta1.ModelMonitoringAlertCondition default_alert_condition = 2;
Parameter | |
---|---|
Name | Description |
value |
ModelMonitoringAlertCondition |
Returns | |
---|---|
Type | Description |
ModelMonitoringObjectiveSpec.FeatureAttributionSpec.Builder |
setDefaultAlertCondition(ModelMonitoringAlertCondition.Builder builderForValue)
public ModelMonitoringObjectiveSpec.FeatureAttributionSpec.Builder setDefaultAlertCondition(ModelMonitoringAlertCondition.Builder builderForValue)
Default alert condition for all the features.
.google.cloud.aiplatform.v1beta1.ModelMonitoringAlertCondition default_alert_condition = 2;
Parameter | |
---|---|
Name | Description |
builderForValue |
ModelMonitoringAlertCondition.Builder |
Returns | |
---|---|
Type | Description |
ModelMonitoringObjectiveSpec.FeatureAttributionSpec.Builder |
setFeatures(int index, String value)
public ModelMonitoringObjectiveSpec.FeatureAttributionSpec.Builder setFeatures(int index, String value)
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 | |
---|---|
Name | Description |
index |
int The index to set the value at. |
value |
String The features to set. |
Returns | |
---|---|
Type | Description |
ModelMonitoringObjectiveSpec.FeatureAttributionSpec.Builder |
This builder for chaining. |
setField(Descriptors.FieldDescriptor field, Object value)
public ModelMonitoringObjectiveSpec.FeatureAttributionSpec.Builder setField(Descriptors.FieldDescriptor field, Object value)
Parameters | |
---|---|
Name | Description |
field |
FieldDescriptor |
value |
Object |
Returns | |
---|---|
Type | Description |
ModelMonitoringObjectiveSpec.FeatureAttributionSpec.Builder |
setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)
public ModelMonitoringObjectiveSpec.FeatureAttributionSpec.Builder setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)
Parameters | |
---|---|
Name | Description |
field |
FieldDescriptor |
index |
int |
value |
Object |
Returns | |
---|---|
Type | Description |
ModelMonitoringObjectiveSpec.FeatureAttributionSpec.Builder |
setUnknownFields(UnknownFieldSet unknownFields)
public final ModelMonitoringObjectiveSpec.FeatureAttributionSpec.Builder setUnknownFields(UnknownFieldSet unknownFields)
Parameter | |
---|---|
Name | Description |
unknownFields |
UnknownFieldSet |
Returns | |
---|---|
Type | Description |
ModelMonitoringObjectiveSpec.FeatureAttributionSpec.Builder |