Class ExplainRequest.Builder (3.43.0) 

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

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

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

clearConcurrentExplanationSpecOverride()

public ExplainRequest.Builder clearConcurrentExplanationSpecOverride()
Returns
Type Description
ExplainRequest.Builder

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

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

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

containsConcurrentExplanationSpecOverride(String key)

public boolean containsConcurrentExplanationSpecOverride(String key)

Optional. This field is the same as the one above, but supports multiple explanations to occur in parallel. The key can be any string. Each override will be run against the model, then its explanations will be grouped together.

Note - these explanations are run In Addition to the default Explanation in the deployed model.

map<string, .google.cloud.aiplatform.v1beta1.ExplanationSpecOverride> concurrent_explanation_spec_override = 6 [(.google.api.field_behavior) = OPTIONAL];

Parameter
Name Description
key String
Returns
Type Description
boolean

getConcurrentExplanationSpecOverride() (deprecated)

public Map<String,ExplanationSpecOverride> getConcurrentExplanationSpecOverride()

Use #getConcurrentExplanationSpecOverrideMap() instead.

Returns
Type Description
Map<String,ExplanationSpecOverride>

getConcurrentExplanationSpecOverrideCount()

public int getConcurrentExplanationSpecOverrideCount()

Optional. This field is the same as the one above, but supports multiple explanations to occur in parallel. The key can be any string. Each override will be run against the model, then its explanations will be grouped together.

Note - these explanations are run In Addition to the default Explanation in the deployed model.

map<string, .google.cloud.aiplatform.v1beta1.ExplanationSpecOverride> concurrent_explanation_spec_override = 6 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type Description
int

getConcurrentExplanationSpecOverrideMap()

public Map<String,ExplanationSpecOverride> getConcurrentExplanationSpecOverrideMap()

Optional. This field is the same as the one above, but supports multiple explanations to occur in parallel. The key can be any string. Each override will be run against the model, then its explanations will be grouped together.

Note - these explanations are run In Addition to the default Explanation in the deployed model.

map<string, .google.cloud.aiplatform.v1beta1.ExplanationSpecOverride> concurrent_explanation_spec_override = 6 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type Description
Map<String,ExplanationSpecOverride>

getConcurrentExplanationSpecOverrideOrDefault(String key, ExplanationSpecOverride defaultValue)

public ExplanationSpecOverride getConcurrentExplanationSpecOverrideOrDefault(String key, ExplanationSpecOverride defaultValue)

Optional. This field is the same as the one above, but supports multiple explanations to occur in parallel. The key can be any string. Each override will be run against the model, then its explanations will be grouped together.

Note - these explanations are run In Addition to the default Explanation in the deployed model.

map<string, .google.cloud.aiplatform.v1beta1.ExplanationSpecOverride> concurrent_explanation_spec_override = 6 [(.google.api.field_behavior) = OPTIONAL];

Parameters
Name Description
key String
defaultValue ExplanationSpecOverride
Returns
Type Description
ExplanationSpecOverride

getConcurrentExplanationSpecOverrideOrThrow(String key)

public ExplanationSpecOverride getConcurrentExplanationSpecOverrideOrThrow(String key)

Optional. This field is the same as the one above, but supports multiple explanations to occur in parallel. The key can be any string. Each override will be run against the model, then its explanations will be grouped together.

Note - these explanations are run In Addition to the default Explanation in the deployed model.

map<string, .google.cloud.aiplatform.v1beta1.ExplanationSpecOverride> concurrent_explanation_spec_override = 6 [(.google.api.field_behavior) = OPTIONAL];

Parameter
Name Description
key String
Returns
Type Description
ExplanationSpecOverride

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

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>

getMutableConcurrentExplanationSpecOverride() (deprecated)

public Map<String,ExplanationSpecOverride> getMutableConcurrentExplanationSpecOverride()

Use alternate mutation accessors instead.

Returns
Type Description
Map<String,ExplanationSpecOverride>

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

internalGetMapFieldReflection(int number)

protected MapFieldReflectionAccessor internalGetMapFieldReflection(int number)
Parameter
Name Description
number int
Returns
Type Description
com.google.protobuf.MapFieldReflectionAccessor
Overrides
com.google.protobuf.GeneratedMessageV3.Builder.internalGetMapFieldReflection(int)

internalGetMutableMapFieldReflection(int number)

protected MapFieldReflectionAccessor internalGetMutableMapFieldReflection(int number)
Parameter
Name Description
number int
Returns
Type Description
com.google.protobuf.MapFieldReflectionAccessor
Overrides
com.google.protobuf.GeneratedMessageV3.Builder.internalGetMutableMapFieldReflection(int)

isInitialized()

public final boolean isInitialized()
Returns
Type Description
boolean
Overrides

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
Exceptions
Type Description
IOException

mergeFrom(Message other)

public ExplainRequest.Builder mergeFrom(Message other)
Parameter
Name Description
other Message
Returns
Type Description
ExplainRequest.Builder
Overrides

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

putAllConcurrentExplanationSpecOverride(Map<String,ExplanationSpecOverride> values)

public ExplainRequest.Builder putAllConcurrentExplanationSpecOverride(Map<String,ExplanationSpecOverride> values)

Optional. This field is the same as the one above, but supports multiple explanations to occur in parallel. The key can be any string. Each override will be run against the model, then its explanations will be grouped together.

Note - these explanations are run In Addition to the default Explanation in the deployed model.

map<string, .google.cloud.aiplatform.v1beta1.ExplanationSpecOverride> concurrent_explanation_spec_override = 6 [(.google.api.field_behavior) = OPTIONAL];

Parameter
Name Description
values Map<String,ExplanationSpecOverride>
Returns
Type Description
ExplainRequest.Builder

putConcurrentExplanationSpecOverride(String key, ExplanationSpecOverride value)

public ExplainRequest.Builder putConcurrentExplanationSpecOverride(String key, ExplanationSpecOverride value)

Optional. This field is the same as the one above, but supports multiple explanations to occur in parallel. The key can be any string. Each override will be run against the model, then its explanations will be grouped together.

Note - these explanations are run In Addition to the default Explanation in the deployed model.

map<string, .google.cloud.aiplatform.v1beta1.ExplanationSpecOverride> concurrent_explanation_spec_override = 6 [(.google.api.field_behavior) = OPTIONAL];

Parameters
Name Description
key String
value ExplanationSpecOverride
Returns
Type Description
ExplainRequest.Builder

putConcurrentExplanationSpecOverrideBuilderIfAbsent(String key)

public ExplanationSpecOverride.Builder putConcurrentExplanationSpecOverrideBuilderIfAbsent(String key)

Optional. This field is the same as the one above, but supports multiple explanations to occur in parallel. The key can be any string. Each override will be run against the model, then its explanations will be grouped together.

Note - these explanations are run In Addition to the default Explanation in the deployed model.

map<string, .google.cloud.aiplatform.v1beta1.ExplanationSpecOverride> concurrent_explanation_spec_override = 6 [(.google.api.field_behavior) = OPTIONAL];

Parameter
Name Description
key String
Returns
Type Description
ExplanationSpecOverride.Builder

removeConcurrentExplanationSpecOverride(String key)

public ExplainRequest.Builder removeConcurrentExplanationSpecOverride(String key)

Optional. This field is the same as the one above, but supports multiple explanations to occur in parallel. The key can be any string. Each override will be run against the model, then its explanations will be grouped together.

Note - these explanations are run In Addition to the default Explanation in the deployed model.

map<string, .google.cloud.aiplatform.v1beta1.ExplanationSpecOverride> concurrent_explanation_spec_override = 6 [(.google.api.field_behavior) = OPTIONAL];

Parameter
Name Description
key String
Returns
Type Description
ExplainRequest.Builder

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

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

setUnknownFields(UnknownFieldSet unknownFields)

public final ExplainRequest.Builder setUnknownFields(UnknownFieldSet unknownFields)
Parameter
Name Description
unknownFields UnknownFieldSet
Returns
Type Description
ExplainRequest.Builder
Overrides