Class ExplainRequest (3.45.0)

public final class ExplainRequest extends GeneratedMessageV3 implements ExplainRequestOrBuilder

Request message for PredictionService.Explain.

Protobuf type google.cloud.aiplatform.v1.ExplainRequest

Static Fields

DEPLOYED_MODEL_ID_FIELD_NUMBER

public static final int DEPLOYED_MODEL_ID_FIELD_NUMBER
Field Value
Type Description
int

ENDPOINT_FIELD_NUMBER

public static final int ENDPOINT_FIELD_NUMBER
Field Value
Type Description
int

EXPLANATION_SPEC_OVERRIDE_FIELD_NUMBER

public static final int EXPLANATION_SPEC_OVERRIDE_FIELD_NUMBER
Field Value
Type Description
int

INSTANCES_FIELD_NUMBER

public static final int INSTANCES_FIELD_NUMBER
Field Value
Type Description
int

PARAMETERS_FIELD_NUMBER

public static final int PARAMETERS_FIELD_NUMBER
Field Value
Type Description
int

Static Methods

getDefaultInstance()

public static ExplainRequest getDefaultInstance()
Returns
Type Description
ExplainRequest

getDescriptor()

public static final Descriptors.Descriptor getDescriptor()
Returns
Type Description
Descriptor

newBuilder()

public static ExplainRequest.Builder newBuilder()
Returns
Type Description
ExplainRequest.Builder

newBuilder(ExplainRequest prototype)

public static ExplainRequest.Builder newBuilder(ExplainRequest prototype)
Parameter
Name Description
prototype ExplainRequest
Returns
Type Description
ExplainRequest.Builder

parseDelimitedFrom(InputStream input)

public static ExplainRequest parseDelimitedFrom(InputStream input)
Parameter
Name Description
input InputStream
Returns
Type Description
ExplainRequest
Exceptions
Type Description
IOException

parseDelimitedFrom(InputStream input, ExtensionRegistryLite extensionRegistry)

public static ExplainRequest parseDelimitedFrom(InputStream input, ExtensionRegistryLite extensionRegistry)
Parameters
Name Description
input InputStream
extensionRegistry ExtensionRegistryLite
Returns
Type Description
ExplainRequest
Exceptions
Type Description
IOException

parseFrom(byte[] data)

public static ExplainRequest parseFrom(byte[] data)
Parameter
Name Description
data byte[]
Returns
Type Description
ExplainRequest
Exceptions
Type Description
InvalidProtocolBufferException

parseFrom(byte[] data, ExtensionRegistryLite extensionRegistry)

public static ExplainRequest parseFrom(byte[] data, ExtensionRegistryLite extensionRegistry)
Parameters
Name Description
data byte[]
extensionRegistry ExtensionRegistryLite
Returns
Type Description
ExplainRequest
Exceptions
Type Description
InvalidProtocolBufferException

parseFrom(ByteString data)

public static ExplainRequest parseFrom(ByteString data)
Parameter
Name Description
data ByteString
Returns
Type Description
ExplainRequest
Exceptions
Type Description
InvalidProtocolBufferException

parseFrom(ByteString data, ExtensionRegistryLite extensionRegistry)

public static ExplainRequest parseFrom(ByteString data, ExtensionRegistryLite extensionRegistry)
Parameters
Name Description
data ByteString
extensionRegistry ExtensionRegistryLite
Returns
Type Description
ExplainRequest
Exceptions
Type Description
InvalidProtocolBufferException

parseFrom(CodedInputStream input)

public static ExplainRequest parseFrom(CodedInputStream input)
Parameter
Name Description
input CodedInputStream
Returns
Type Description
ExplainRequest
Exceptions
Type Description
IOException

parseFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

public static ExplainRequest parseFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
Parameters
Name Description
input CodedInputStream
extensionRegistry ExtensionRegistryLite
Returns
Type Description
ExplainRequest
Exceptions
Type Description
IOException

parseFrom(InputStream input)

public static ExplainRequest parseFrom(InputStream input)
Parameter
Name Description
input InputStream
Returns
Type Description
ExplainRequest
Exceptions
Type Description
IOException

parseFrom(InputStream input, ExtensionRegistryLite extensionRegistry)

public static ExplainRequest parseFrom(InputStream input, ExtensionRegistryLite extensionRegistry)
Parameters
Name Description
input InputStream
extensionRegistry ExtensionRegistryLite
Returns
Type Description
ExplainRequest
Exceptions
Type Description
IOException

parseFrom(ByteBuffer data)

public static ExplainRequest parseFrom(ByteBuffer data)
Parameter
Name Description
data ByteBuffer
Returns
Type Description
ExplainRequest
Exceptions
Type Description
InvalidProtocolBufferException

parseFrom(ByteBuffer data, ExtensionRegistryLite extensionRegistry)

public static ExplainRequest parseFrom(ByteBuffer data, ExtensionRegistryLite extensionRegistry)
Parameters
Name Description
data ByteBuffer
extensionRegistry ExtensionRegistryLite
Returns
Type Description
ExplainRequest
Exceptions
Type Description
InvalidProtocolBufferException

parser()

public static Parser<ExplainRequest> parser()
Returns
Type Description
Parser<ExplainRequest>

Methods

equals(Object obj)

public boolean equals(Object obj)
Parameter
Name Description
obj Object
Returns
Type Description
boolean
Overrides

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.

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.v1.ExplanationSpecOverride explanation_spec_override = 5;

Returns
Type Description
ExplanationSpecOverride

The explanationSpecOverride.

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.v1.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

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.

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

getParserForType()

public Parser<ExplainRequest> getParserForType()
Returns
Type Description
Parser<ExplainRequest>
Overrides

getSerializedSize()

public int getSerializedSize()
Returns
Type Description
int
Overrides

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.v1.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.

hashCode()

public int hashCode()
Returns
Type Description
int
Overrides

internalGetFieldAccessorTable()

protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
Returns
Type Description
FieldAccessorTable
Overrides

isInitialized()

public final boolean isInitialized()
Returns
Type Description
boolean
Overrides

newBuilderForType()

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

newBuilderForType(GeneratedMessageV3.BuilderParent parent)

protected ExplainRequest.Builder newBuilderForType(GeneratedMessageV3.BuilderParent parent)
Parameter
Name Description
parent BuilderParent
Returns
Type Description
ExplainRequest.Builder
Overrides

newInstance(GeneratedMessageV3.UnusedPrivateParameter unused)

protected Object newInstance(GeneratedMessageV3.UnusedPrivateParameter unused)
Parameter
Name Description
unused UnusedPrivateParameter
Returns
Type Description
Object
Overrides

toBuilder()

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

writeTo(CodedOutputStream output)

public void writeTo(CodedOutputStream output)
Parameter
Name Description
output CodedOutputStream
Overrides
Exceptions
Type Description
IOException