Class ExplainRequest.Builder (3.15.0)

Version 3.15.0

• 3.52.0 (latest)
• 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 static final class ExplainRequest.Builder extends GeneratedMessageV3.Builder<ExplainRequest.Builder> implements ExplainRequestOrBuilder

Request message for PredictionService.Explain.

Protobuf type google.cloud.aiplatform.v1beta1.ExplainRequest

Inheritance

Object > AbstractMessageLite.Builder<MessageType,BuilderType> > AbstractMessage.Builder<BuilderType> > GeneratedMessageV3.Builder > ExplainRequest.Builder

Implements

ExplainRequestOrBuilder

Inherited Members

AbstractMessage.Builder.findInitializationErrors()

AbstractMessage.Builder.getInitializationErrorString()

AbstractMessage.Builder.internalMergeFrom(AbstractMessageLite)

AbstractMessage.Builder.mergeFrom(byte[])

AbstractMessage.Builder.mergeFrom(byte[],ExtensionRegistryLite)

AbstractMessage.Builder.mergeFrom(byte[],int,int)

AbstractMessage.Builder.mergeFrom(byte[],int,int,ExtensionRegistryLite)

AbstractMessage.Builder.mergeFrom(ByteString)

AbstractMessage.Builder.mergeFrom(ByteString,ExtensionRegistryLite)

AbstractMessage.Builder.mergeFrom(CodedInputStream)

AbstractMessage.Builder.mergeFrom(CodedInputStream,ExtensionRegistryLite)

AbstractMessage.Builder.mergeFrom(Message)

AbstractMessage.Builder.mergeFrom(InputStream)

AbstractMessage.Builder.mergeFrom(InputStream,ExtensionRegistryLite)

AbstractMessage.Builder.newUninitializedMessageException(Message)

AbstractMessage.Builder.toString()

AbstractMessageLite.Builder.<T>addAll(Iterable<T>,Collection<? super T>)

AbstractMessageLite.Builder.<T>addAll(Iterable<T>,List<? super T>)

AbstractMessageLite.Builder.internalMergeFrom(MessageType)

AbstractMessageLite.Builder.mergeDelimitedFrom(InputStream)

AbstractMessageLite.Builder.mergeDelimitedFrom(InputStream,ExtensionRegistryLite)

AbstractMessageLite.Builder.mergeFrom(MessageLite)

AbstractMessageLite.Builder.newUninitializedMessageException(MessageLite)

GeneratedMessageV3.Builder.addRepeatedField(Descriptors.FieldDescriptor,Object)

GeneratedMessageV3.Builder.clear()

GeneratedMessageV3.Builder.clearField(Descriptors.FieldDescriptor)

GeneratedMessageV3.Builder.clearOneof(Descriptors.OneofDescriptor)

GeneratedMessageV3.Builder.clone()

GeneratedMessageV3.Builder.getAllFields()

GeneratedMessageV3.Builder.getDescriptorForType()

GeneratedMessageV3.Builder.getField(Descriptors.FieldDescriptor)

GeneratedMessageV3.Builder.getFieldBuilder(Descriptors.FieldDescriptor)

GeneratedMessageV3.Builder.getOneofFieldDescriptor(Descriptors.OneofDescriptor)

GeneratedMessageV3.Builder.getParentForChildren()

GeneratedMessageV3.Builder.getRepeatedField(Descriptors.FieldDescriptor,int)

GeneratedMessageV3.Builder.getRepeatedFieldBuilder(Descriptors.FieldDescriptor,int)

GeneratedMessageV3.Builder.getRepeatedFieldCount(Descriptors.FieldDescriptor)

com.google.protobuf.GeneratedMessageV3.Builder.getUnknownFieldSetBuilder()

GeneratedMessageV3.Builder.getUnknownFields()

GeneratedMessageV3.Builder.hasField(Descriptors.FieldDescriptor)

GeneratedMessageV3.Builder.hasOneof(Descriptors.OneofDescriptor)

GeneratedMessageV3.Builder.internalGetFieldAccessorTable()

GeneratedMessageV3.Builder.internalGetMapField(int)

GeneratedMessageV3.Builder.internalGetMutableMapField(int)

GeneratedMessageV3.Builder.isClean()

GeneratedMessageV3.Builder.isInitialized()

GeneratedMessageV3.Builder.markClean()

GeneratedMessageV3.Builder.mergeUnknownFields(UnknownFieldSet)

com.google.protobuf.GeneratedMessageV3.Builder.mergeUnknownLengthDelimitedField(int,com.google.protobuf.ByteString)

com.google.protobuf.GeneratedMessageV3.Builder.mergeUnknownVarintField(int,int)

GeneratedMessageV3.Builder.newBuilderForField(Descriptors.FieldDescriptor)

GeneratedMessageV3.Builder.onBuilt()

GeneratedMessageV3.Builder.onChanged()

com.google.protobuf.GeneratedMessageV3.Builder.parseUnknownField(com.google.protobuf.CodedInputStream,com.google.protobuf.ExtensionRegistryLite,int)

GeneratedMessageV3.Builder.setField(Descriptors.FieldDescriptor,Object)

GeneratedMessageV3.Builder.setRepeatedField(Descriptors.FieldDescriptor,int,Object)

com.google.protobuf.GeneratedMessageV3.Builder.setUnknownFieldSetBuilder(com.google.protobuf.UnknownFieldSet.Builder)

GeneratedMessageV3.Builder.setUnknownFields(UnknownFieldSet)

GeneratedMessageV3.Builder.setUnknownFieldsProto3(UnknownFieldSet)

Object.equals(Object)

Object.finalize()

Object.getClass()

Object.hashCode()

Object.notify()

Object.notifyAll()

Object.wait()

Object.wait(long)

Object.wait(long,int)

Static Methods

getDescriptor()

public static final Descriptors.Descriptor getDescriptor()

Returns
Type	Description
Descriptor

Methods

addAllInstances(Iterable<? extends Value> values)

public ExplainRequest.Builder addAllInstances(Iterable<? extends Value> values)

Required. The instances that are the input to the explanation call. A DeployedModel may have an upper limit on the number of instances it supports per request, and when it is exceeded the explanation call errors in case of AutoML Models, or, in case of customer created Models, the behaviour is as documented by that Model. The schema of any single instance may be specified via Endpoint's DeployedModels' Model's PredictSchemata's instance_schema_uri.

repeated .google.protobuf.Value instances = 2 [(.google.api.field_behavior) = REQUIRED];

Parameter
Name	Description
values	Iterable<? extends com.google.protobuf.Value>

Returns
Type	Description
ExplainRequest.Builder

addInstances(Value value)

public ExplainRequest.Builder addInstances(Value value)

Required. The instances that are the input to the explanation call. A DeployedModel may have an upper limit on the number of instances it supports per request, and when it is exceeded the explanation call errors in case of AutoML Models, or, in case of customer created Models, the behaviour is as documented by that Model. The schema of any single instance may be specified via Endpoint's DeployedModels' Model's PredictSchemata's instance_schema_uri.

repeated .google.protobuf.Value instances = 2 [(.google.api.field_behavior) = REQUIRED];

Parameter
Name	Description
value	Value

Returns
Type	Description
ExplainRequest.Builder

addInstances(Value.Builder builderForValue)

public ExplainRequest.Builder addInstances(Value.Builder builderForValue)

Required. The instances that are the input to the explanation call. A DeployedModel may have an upper limit on the number of instances it supports per request, and when it is exceeded the explanation call errors in case of AutoML Models, or, in case of customer created Models, the behaviour is as documented by that Model. The schema of any single instance may be specified via Endpoint's DeployedModels' Model's PredictSchemata's instance_schema_uri.

repeated .google.protobuf.Value instances = 2 [(.google.api.field_behavior) = REQUIRED];

Parameter
Name	Description
builderForValue	Builder

Returns
Type	Description
ExplainRequest.Builder

addInstances(int index, Value value)

public ExplainRequest.Builder addInstances(int index, Value value)

Required. The instances that are the input to the explanation call. A DeployedModel may have an upper limit on the number of instances it supports per request, and when it is exceeded the explanation call errors in case of AutoML Models, or, in case of customer created Models, the behaviour is as documented by that Model. The schema of any single instance may be specified via Endpoint's DeployedModels' Model's PredictSchemata's instance_schema_uri.

repeated .google.protobuf.Value instances = 2 [(.google.api.field_behavior) = REQUIRED];

Parameters
Name	Description
index	int
value	Value

Returns
Type	Description
ExplainRequest.Builder

addInstances(int index, Value.Builder builderForValue)

public ExplainRequest.Builder addInstances(int index, Value.Builder builderForValue)

Required. The instances that are the input to the explanation call. A DeployedModel may have an upper limit on the number of instances it supports per request, and when it is exceeded the explanation call errors in case of AutoML Models, or, in case of customer created Models, the behaviour is as documented by that Model. The schema of any single instance may be specified via Endpoint's DeployedModels' Model's PredictSchemata's instance_schema_uri.

repeated .google.protobuf.Value instances = 2 [(.google.api.field_behavior) = REQUIRED];

Parameters
Name	Description
index	int
builderForValue	Builder

Returns
Type	Description
ExplainRequest.Builder

addInstancesBuilder()

public Value.Builder addInstancesBuilder()

Required. The instances that are the input to the explanation call. A DeployedModel may have an upper limit on the number of instances it supports per request, and when it is exceeded the explanation call errors in case of AutoML Models, or, in case of customer created Models, the behaviour is as documented by that Model. The schema of any single instance may be specified via Endpoint's DeployedModels' Model's PredictSchemata's instance_schema_uri.

repeated .google.protobuf.Value instances = 2 [(.google.api.field_behavior) = REQUIRED];

Returns
Type	Description
Builder

addInstancesBuilder(int index)

public Value.Builder addInstancesBuilder(int index)

Required. The instances that are the input to the explanation call. A DeployedModel may have an upper limit on the number of instances it supports per request, and when it is exceeded the explanation call errors in case of AutoML Models, or, in case of customer created Models, the behaviour is as documented by that Model. The schema of any single instance may be specified via Endpoint's DeployedModels' Model's PredictSchemata's instance_schema_uri.

repeated .google.protobuf.Value instances = 2 [(.google.api.field_behavior) = REQUIRED];

Parameter
Name	Description
index	int

Returns
Type	Description
Builder

addRepeatedField(Descriptors.FieldDescriptor field, Object value)

public ExplainRequest.Builder addRepeatedField(Descriptors.FieldDescriptor field, Object value)

Parameters
Name	Description
field	FieldDescriptor
value	Object

Returns
Type	Description
ExplainRequest.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.addRepeatedField(Descriptors.FieldDescriptor field, Object value)

build()

public ExplainRequest build()

Returns
Type	Description
ExplainRequest

buildPartial()

public ExplainRequest buildPartial()

Returns
Type	Description
ExplainRequest

clear()

public ExplainRequest.Builder clear()

Returns
Type	Description
ExplainRequest.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.clear()

clearDeployedModelId()

public ExplainRequest.Builder clearDeployedModelId()

If specified, this ExplainRequest will be served by the chosen DeployedModel, overriding Endpoint.traffic_split.

string deployed_model_id = 3;

Returns
Type	Description
ExplainRequest.Builder	This builder for chaining.

clearEndpoint()

public ExplainRequest.Builder clearEndpoint()

Required. The name of the Endpoint requested to serve the explanation. Format: projects/{project}/locations/{location}/endpoints/{endpoint}

string endpoint = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }

Returns
Type	Description
ExplainRequest.Builder	This builder for chaining.

clearExplanationSpecOverride()

public ExplainRequest.Builder clearExplanationSpecOverride()

If specified, overrides the explanation_spec of the DeployedModel. Can be used for explaining prediction results with different configurations, such as:

• Explaining top-5 predictions results as opposed to top-1;
• Increasing path count or step count of the attribution methods to reduce approximate errors;
• Using different baselines for explaining the prediction results.

.google.cloud.aiplatform.v1beta1.ExplanationSpecOverride explanation_spec_override = 5;

Returns
Type	Description
ExplainRequest.Builder

clearField(Descriptors.FieldDescriptor field)

public ExplainRequest.Builder clearField(Descriptors.FieldDescriptor field)

Parameter
Name	Description
field	FieldDescriptor

Returns
Type	Description
ExplainRequest.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.clearField(Descriptors.FieldDescriptor field)

clearInstances()

public ExplainRequest.Builder clearInstances()

Required. The instances that are the input to the explanation call. A DeployedModel may have an upper limit on the number of instances it supports per request, and when it is exceeded the explanation call errors in case of AutoML Models, or, in case of customer created Models, the behaviour is as documented by that Model. The schema of any single instance may be specified via Endpoint's DeployedModels' Model's PredictSchemata's instance_schema_uri.

repeated .google.protobuf.Value instances = 2 [(.google.api.field_behavior) = REQUIRED];

Returns
Type	Description
ExplainRequest.Builder

clearOneof(Descriptors.OneofDescriptor oneof)

public ExplainRequest.Builder clearOneof(Descriptors.OneofDescriptor oneof)

Parameter
Name	Description
oneof	OneofDescriptor

Returns
Type	Description
ExplainRequest.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.clearOneof(Descriptors.OneofDescriptor oneof)

clearParameters()

public ExplainRequest.Builder clearParameters()

The parameters that govern the prediction. The schema of the parameters may be specified via Endpoint's DeployedModels' Model's PredictSchemata's parameters_schema_uri.

.google.protobuf.Value parameters = 4;

Returns
Type	Description
ExplainRequest.Builder

clone()

public ExplainRequest.Builder clone()

Returns
Type	Description
ExplainRequest.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.clone()

getDefaultInstanceForType()

public ExplainRequest getDefaultInstanceForType()

Returns
Type	Description
ExplainRequest

getDeployedModelId()

public String getDeployedModelId()

If specified, this ExplainRequest will be served by the chosen DeployedModel, overriding Endpoint.traffic_split.

string deployed_model_id = 3;

Returns
Type	Description
String	The deployedModelId.

getDeployedModelIdBytes()

public ByteString getDeployedModelIdBytes()

If specified, this ExplainRequest will be served by the chosen DeployedModel, overriding Endpoint.traffic_split.

string deployed_model_id = 3;

Returns
Type	Description
ByteString	The bytes for deployedModelId.

getDescriptorForType()

public Descriptors.Descriptor getDescriptorForType()

Returns
Type	Description
Descriptor

Overrides

GeneratedMessageV3.Builder<BuilderType>.getDescriptorForType()

getEndpoint()

public String getEndpoint()

Required. The name of the Endpoint requested to serve the explanation. Format: projects/{project}/locations/{location}/endpoints/{endpoint}

string endpoint = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }

Returns
Type	Description
String	The endpoint.

getEndpointBytes()

public ByteString getEndpointBytes()

Required. The name of the Endpoint requested to serve the explanation. Format: projects/{project}/locations/{location}/endpoints/{endpoint}

string endpoint = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }

Returns
Type	Description
ByteString	The bytes for endpoint.

getExplanationSpecOverride()

public ExplanationSpecOverride getExplanationSpecOverride()

If specified, overrides the explanation_spec of the DeployedModel. Can be used for explaining prediction results with different configurations, such as:

• Explaining top-5 predictions results as opposed to top-1;
• Increasing path count or step count of the attribution methods to reduce approximate errors;
• Using different baselines for explaining the prediction results.

.google.cloud.aiplatform.v1beta1.ExplanationSpecOverride explanation_spec_override = 5;

Returns
Type	Description
ExplanationSpecOverride	The explanationSpecOverride.

getExplanationSpecOverrideBuilder()

public ExplanationSpecOverride.Builder getExplanationSpecOverrideBuilder()

If specified, overrides the explanation_spec of the DeployedModel. Can be used for explaining prediction results with different configurations, such as:

• Explaining top-5 predictions results as opposed to top-1;
• Increasing path count or step count of the attribution methods to reduce approximate errors;
• Using different baselines for explaining the prediction results.

.google.cloud.aiplatform.v1beta1.ExplanationSpecOverride explanation_spec_override = 5;

Returns
Type	Description
ExplanationSpecOverride.Builder

getExplanationSpecOverrideOrBuilder()

public ExplanationSpecOverrideOrBuilder getExplanationSpecOverrideOrBuilder()

If specified, overrides the explanation_spec of the DeployedModel. Can be used for explaining prediction results with different configurations, such as:

• Explaining top-5 predictions results as opposed to top-1;
• Increasing path count or step count of the attribution methods to reduce approximate errors;
• Using different baselines for explaining the prediction results.

.google.cloud.aiplatform.v1beta1.ExplanationSpecOverride explanation_spec_override = 5;

Returns
Type	Description
ExplanationSpecOverrideOrBuilder

getInstances(int index)

public Value getInstances(int index)

Required. The instances that are the input to the explanation call. A DeployedModel may have an upper limit on the number of instances it supports per request, and when it is exceeded the explanation call errors in case of AutoML Models, or, in case of customer created Models, the behaviour is as documented by that Model. The schema of any single instance may be specified via Endpoint's DeployedModels' Model's PredictSchemata's instance_schema_uri.

repeated .google.protobuf.Value instances = 2 [(.google.api.field_behavior) = REQUIRED];

Parameter
Name	Description
index	int

Returns
Type	Description
Value

getInstancesBuilder(int index)

public Value.Builder getInstancesBuilder(int index)

Required. The instances that are the input to the explanation call. A DeployedModel may have an upper limit on the number of instances it supports per request, and when it is exceeded the explanation call errors in case of AutoML Models, or, in case of customer created Models, the behaviour is as documented by that Model. The schema of any single instance may be specified via Endpoint's DeployedModels' Model's PredictSchemata's instance_schema_uri.

repeated .google.protobuf.Value instances = 2 [(.google.api.field_behavior) = REQUIRED];

Parameter
Name	Description
index	int

Returns
Type	Description
Builder

getInstancesBuilderList()

public List<Value.Builder> getInstancesBuilderList()

Required. The instances that are the input to the explanation call. A DeployedModel may have an upper limit on the number of instances it supports per request, and when it is exceeded the explanation call errors in case of AutoML Models, or, in case of customer created Models, the behaviour is as documented by that Model. The schema of any single instance may be specified via Endpoint's DeployedModels' Model's PredictSchemata's instance_schema_uri.

repeated .google.protobuf.Value instances = 2 [(.google.api.field_behavior) = REQUIRED];

Returns
Type	Description
List<Builder>

getInstancesCount()

public int getInstancesCount()

Required. The instances that are the input to the explanation call. A DeployedModel may have an upper limit on the number of instances it supports per request, and when it is exceeded the explanation call errors in case of AutoML Models, or, in case of customer created Models, the behaviour is as documented by that Model. The schema of any single instance may be specified via Endpoint's DeployedModels' Model's PredictSchemata's instance_schema_uri.

repeated .google.protobuf.Value instances = 2 [(.google.api.field_behavior) = REQUIRED];

Returns
Type	Description
int

getInstancesList()

public List<Value> getInstancesList()

Required. The instances that are the input to the explanation call. A DeployedModel may have an upper limit on the number of instances it supports per request, and when it is exceeded the explanation call errors in case of AutoML Models, or, in case of customer created Models, the behaviour is as documented by that Model. The schema of any single instance may be specified via Endpoint's DeployedModels' Model's PredictSchemata's instance_schema_uri.

repeated .google.protobuf.Value instances = 2 [(.google.api.field_behavior) = REQUIRED];

Returns
Type	Description
List<Value>

getInstancesOrBuilder(int index)

public ValueOrBuilder getInstancesOrBuilder(int index)

Required. The instances that are the input to the explanation call. A DeployedModel may have an upper limit on the number of instances it supports per request, and when it is exceeded the explanation call errors in case of AutoML Models, or, in case of customer created Models, the behaviour is as documented by that Model. The schema of any single instance may be specified via Endpoint's DeployedModels' Model's PredictSchemata's instance_schema_uri.

repeated .google.protobuf.Value instances = 2 [(.google.api.field_behavior) = REQUIRED];

Parameter
Name	Description
index	int

Returns
Type	Description
ValueOrBuilder

getInstancesOrBuilderList()

public List<? extends ValueOrBuilder> getInstancesOrBuilderList()

Required. The instances that are the input to the explanation call. A DeployedModel may have an upper limit on the number of instances it supports per request, and when it is exceeded the explanation call errors in case of AutoML Models, or, in case of customer created Models, the behaviour is as documented by that Model. The schema of any single instance may be specified via Endpoint's DeployedModels' Model's PredictSchemata's instance_schema_uri.

repeated .google.protobuf.Value instances = 2 [(.google.api.field_behavior) = REQUIRED];

Returns
Type	Description
List<? extends com.google.protobuf.ValueOrBuilder>

getParameters()

public Value getParameters()

The parameters that govern the prediction. The schema of the parameters may be specified via Endpoint's DeployedModels' Model's PredictSchemata's parameters_schema_uri.

.google.protobuf.Value parameters = 4;

Returns
Type	Description
Value	The parameters.

getParametersBuilder()

public Value.Builder getParametersBuilder()

The parameters that govern the prediction. The schema of the parameters may be specified via Endpoint's DeployedModels' Model's PredictSchemata's parameters_schema_uri.

.google.protobuf.Value parameters = 4;

Returns
Type	Description
Builder

getParametersOrBuilder()

public ValueOrBuilder getParametersOrBuilder()

The parameters that govern the prediction. The schema of the parameters may be specified via Endpoint's DeployedModels' Model's PredictSchemata's parameters_schema_uri.

.google.protobuf.Value parameters = 4;

Returns
Type	Description
ValueOrBuilder

hasExplanationSpecOverride()

public boolean hasExplanationSpecOverride()

If specified, overrides the explanation_spec of the DeployedModel. Can be used for explaining prediction results with different configurations, such as:

• Explaining top-5 predictions results as opposed to top-1;
• Increasing path count or step count of the attribution methods to reduce approximate errors;
• Using different baselines for explaining the prediction results.

.google.cloud.aiplatform.v1beta1.ExplanationSpecOverride explanation_spec_override = 5;

Returns
Type	Description
boolean	Whether the explanationSpecOverride field is set.

hasParameters()

public boolean hasParameters()

The parameters that govern the prediction. The schema of the parameters may be specified via Endpoint's DeployedModels' Model's PredictSchemata's parameters_schema_uri.

.google.protobuf.Value parameters = 4;

Returns
Type	Description
boolean	Whether the parameters field is set.

internalGetFieldAccessorTable()

protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()

Returns
Type	Description
FieldAccessorTable

Overrides

GeneratedMessageV3.Builder<BuilderType>.internalGetFieldAccessorTable()

isInitialized()

public final boolean isInitialized()

Returns
Type	Description
boolean

Overrides

GeneratedMessageV3.Builder<BuilderType>.isInitialized()

mergeExplanationSpecOverride(ExplanationSpecOverride value)

public ExplainRequest.Builder mergeExplanationSpecOverride(ExplanationSpecOverride value)

If specified, overrides the explanation_spec of the DeployedModel. Can be used for explaining prediction results with different configurations, such as:

• Explaining top-5 predictions results as opposed to top-1;
• Increasing path count or step count of the attribution methods to reduce approximate errors;
• Using different baselines for explaining the prediction results.

.google.cloud.aiplatform.v1beta1.ExplanationSpecOverride explanation_spec_override = 5;

Parameter
Name	Description
value	ExplanationSpecOverride

Returns
Type	Description
ExplainRequest.Builder

mergeFrom(ExplainRequest other)

public ExplainRequest.Builder mergeFrom(ExplainRequest other)

Parameter
Name	Description
other	ExplainRequest

Returns
Type	Description
ExplainRequest.Builder

mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

public ExplainRequest.Builder mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

Parameters
Name	Description
input	CodedInputStream
extensionRegistry	ExtensionRegistryLite

Returns
Type	Description
ExplainRequest.Builder

Overrides

AbstractMessage.Builder<BuilderType>.mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

Exceptions
Type	Description
IOException

mergeFrom(Message other)

public ExplainRequest.Builder mergeFrom(Message other)

Parameter
Name	Description
other	Message

Returns
Type	Description
ExplainRequest.Builder

Overrides

AbstractMessage.Builder<BuilderType>.mergeFrom(Message other)

mergeParameters(Value value)

public ExplainRequest.Builder mergeParameters(Value value)

The parameters that govern the prediction. The schema of the parameters may be specified via Endpoint's DeployedModels' Model's PredictSchemata's parameters_schema_uri.

.google.protobuf.Value parameters = 4;

Parameter
Name	Description
value	Value

Returns
Type	Description
ExplainRequest.Builder

mergeUnknownFields(UnknownFieldSet unknownFields)

public final ExplainRequest.Builder mergeUnknownFields(UnknownFieldSet unknownFields)

Parameter
Name	Description
unknownFields	UnknownFieldSet

Returns
Type	Description
ExplainRequest.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.mergeUnknownFields(UnknownFieldSet unknownFields)

removeInstances(int index)

public ExplainRequest.Builder removeInstances(int index)

Required. The instances that are the input to the explanation call. A DeployedModel may have an upper limit on the number of instances it supports per request, and when it is exceeded the explanation call errors in case of AutoML Models, or, in case of customer created Models, the behaviour is as documented by that Model. The schema of any single instance may be specified via Endpoint's DeployedModels' Model's PredictSchemata's instance_schema_uri.

repeated .google.protobuf.Value instances = 2 [(.google.api.field_behavior) = REQUIRED];

Parameter
Name	Description
index	int

Returns
Type	Description
ExplainRequest.Builder

setDeployedModelId(String value)

public ExplainRequest.Builder setDeployedModelId(String value)

If specified, this ExplainRequest will be served by the chosen DeployedModel, overriding Endpoint.traffic_split.

string deployed_model_id = 3;

Parameter
Name	Description
value	String The deployedModelId to set.

Returns
Type	Description
ExplainRequest.Builder	This builder for chaining.

setDeployedModelIdBytes(ByteString value)

public ExplainRequest.Builder setDeployedModelIdBytes(ByteString value)

If specified, this ExplainRequest will be served by the chosen DeployedModel, overriding Endpoint.traffic_split.

string deployed_model_id = 3;

Parameter
Name	Description
value	ByteString The bytes for deployedModelId to set.

Returns
Type	Description
ExplainRequest.Builder	This builder for chaining.

setEndpoint(String value)

public ExplainRequest.Builder setEndpoint(String value)

Required. The name of the Endpoint requested to serve the explanation. Format: projects/{project}/locations/{location}/endpoints/{endpoint}

string endpoint = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }

Parameter
Name	Description
value	String The endpoint to set.

Returns
Type	Description
ExplainRequest.Builder	This builder for chaining.

setEndpointBytes(ByteString value)

public ExplainRequest.Builder setEndpointBytes(ByteString value)

Required. The name of the Endpoint requested to serve the explanation. Format: projects/{project}/locations/{location}/endpoints/{endpoint}

string endpoint = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }

Parameter
Name	Description
value	ByteString The bytes for endpoint to set.

Returns
Type	Description
ExplainRequest.Builder	This builder for chaining.

setExplanationSpecOverride(ExplanationSpecOverride value)

public ExplainRequest.Builder setExplanationSpecOverride(ExplanationSpecOverride value)

If specified, overrides the explanation_spec of the DeployedModel. Can be used for explaining prediction results with different configurations, such as:

• Explaining top-5 predictions results as opposed to top-1;
• Increasing path count or step count of the attribution methods to reduce approximate errors;
• Using different baselines for explaining the prediction results.

.google.cloud.aiplatform.v1beta1.ExplanationSpecOverride explanation_spec_override = 5;

Parameter
Name	Description
value	ExplanationSpecOverride

Returns
Type	Description
ExplainRequest.Builder

setExplanationSpecOverride(ExplanationSpecOverride.Builder builderForValue)

public ExplainRequest.Builder setExplanationSpecOverride(ExplanationSpecOverride.Builder builderForValue)

If specified, overrides the explanation_spec of the DeployedModel. Can be used for explaining prediction results with different configurations, such as:

• Explaining top-5 predictions results as opposed to top-1;
• Increasing path count or step count of the attribution methods to reduce approximate errors;
• Using different baselines for explaining the prediction results.

.google.cloud.aiplatform.v1beta1.ExplanationSpecOverride explanation_spec_override = 5;

Parameter
Name	Description
builderForValue	ExplanationSpecOverride.Builder

Returns
Type	Description
ExplainRequest.Builder

setField(Descriptors.FieldDescriptor field, Object value)

public ExplainRequest.Builder setField(Descriptors.FieldDescriptor field, Object value)

Parameters
Name	Description
field	FieldDescriptor
value	Object

Returns
Type	Description
ExplainRequest.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.setField(Descriptors.FieldDescriptor field, Object value)

setInstances(int index, Value value)

public ExplainRequest.Builder setInstances(int index, Value value)

Required. The instances that are the input to the explanation call. A DeployedModel may have an upper limit on the number of instances it supports per request, and when it is exceeded the explanation call errors in case of AutoML Models, or, in case of customer created Models, the behaviour is as documented by that Model. The schema of any single instance may be specified via Endpoint's DeployedModels' Model's PredictSchemata's instance_schema_uri.

repeated .google.protobuf.Value instances = 2 [(.google.api.field_behavior) = REQUIRED];

Parameters
Name	Description
index	int
value	Value

Returns
Type	Description
ExplainRequest.Builder

setInstances(int index, Value.Builder builderForValue)

public ExplainRequest.Builder setInstances(int index, Value.Builder builderForValue)

Required. The instances that are the input to the explanation call. A DeployedModel may have an upper limit on the number of instances it supports per request, and when it is exceeded the explanation call errors in case of AutoML Models, or, in case of customer created Models, the behaviour is as documented by that Model. The schema of any single instance may be specified via Endpoint's DeployedModels' Model's PredictSchemata's instance_schema_uri.

repeated .google.protobuf.Value instances = 2 [(.google.api.field_behavior) = REQUIRED];

Parameters
Name	Description
index	int
builderForValue	Builder

Returns
Type	Description
ExplainRequest.Builder

setParameters(Value value)

public ExplainRequest.Builder setParameters(Value value)

The parameters that govern the prediction. The schema of the parameters may be specified via Endpoint's DeployedModels' Model's PredictSchemata's parameters_schema_uri.

.google.protobuf.Value parameters = 4;

Parameter
Name	Description
value	Value

Returns
Type	Description
ExplainRequest.Builder

setParameters(Value.Builder builderForValue)

public ExplainRequest.Builder setParameters(Value.Builder builderForValue)

The parameters that govern the prediction. The schema of the parameters may be specified via Endpoint's DeployedModels' Model's PredictSchemata's parameters_schema_uri.

.google.protobuf.Value parameters = 4;

Parameter
Name	Description
builderForValue	Builder

Returns
Type	Description
ExplainRequest.Builder

setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)

public ExplainRequest.Builder setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)

Parameters
Name	Description
field	FieldDescriptor
index	int
value	Object

Returns
Type	Description
ExplainRequest.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)

setUnknownFields(UnknownFieldSet unknownFields)

public final ExplainRequest.Builder setUnknownFields(UnknownFieldSet unknownFields)

Parameter
Name	Description
unknownFields	UnknownFieldSet

Returns
Type	Description
ExplainRequest.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.setUnknownFields(UnknownFieldSet unknownFields)