Class ExplainRequest (3.33.0)

public final class ExplainRequest extends GeneratedMessageV3 implements ExplainRequestOrBuilder

Request message for PredictionService.Explain.

Protobuf type google.cloud.aiplatform.v1beta1.ExplainRequest

Static Fields

CONCURRENT_EXPLANATION_SPEC_OVERRIDE_FIELD_NUMBER

public static final int CONCURRENT_EXPLANATION_SPEC_OVERRIDE_FIELD_NUMBER
Field Value
TypeDescription
int

DEPLOYED_MODEL_ID_FIELD_NUMBER

public static final int DEPLOYED_MODEL_ID_FIELD_NUMBER
Field Value
TypeDescription
int

ENDPOINT_FIELD_NUMBER

public static final int ENDPOINT_FIELD_NUMBER
Field Value
TypeDescription
int

EXPLANATION_SPEC_OVERRIDE_FIELD_NUMBER

public static final int EXPLANATION_SPEC_OVERRIDE_FIELD_NUMBER
Field Value
TypeDescription
int

INSTANCES_FIELD_NUMBER

public static final int INSTANCES_FIELD_NUMBER
Field Value
TypeDescription
int

PARAMETERS_FIELD_NUMBER

public static final int PARAMETERS_FIELD_NUMBER
Field Value
TypeDescription
int

Static Methods

getDefaultInstance()

public static ExplainRequest getDefaultInstance()
Returns
TypeDescription
ExplainRequest

getDescriptor()

public static final Descriptors.Descriptor getDescriptor()
Returns
TypeDescription
Descriptor

newBuilder()

public static ExplainRequest.Builder newBuilder()
Returns
TypeDescription
ExplainRequest.Builder

newBuilder(ExplainRequest prototype)

public static ExplainRequest.Builder newBuilder(ExplainRequest prototype)
Parameter
NameDescription
prototypeExplainRequest
Returns
TypeDescription
ExplainRequest.Builder

parseDelimitedFrom(InputStream input)

public static ExplainRequest parseDelimitedFrom(InputStream input)
Parameter
NameDescription
inputInputStream
Returns
TypeDescription
ExplainRequest
Exceptions
TypeDescription
IOException

parseDelimitedFrom(InputStream input, ExtensionRegistryLite extensionRegistry)

public static ExplainRequest parseDelimitedFrom(InputStream input, ExtensionRegistryLite extensionRegistry)
Parameters
NameDescription
inputInputStream
extensionRegistryExtensionRegistryLite
Returns
TypeDescription
ExplainRequest
Exceptions
TypeDescription
IOException

parseFrom(byte[] data)

public static ExplainRequest parseFrom(byte[] data)
Parameter
NameDescription
databyte[]
Returns
TypeDescription
ExplainRequest
Exceptions
TypeDescription
InvalidProtocolBufferException

parseFrom(byte[] data, ExtensionRegistryLite extensionRegistry)

public static ExplainRequest parseFrom(byte[] data, ExtensionRegistryLite extensionRegistry)
Parameters
NameDescription
databyte[]
extensionRegistryExtensionRegistryLite
Returns
TypeDescription
ExplainRequest
Exceptions
TypeDescription
InvalidProtocolBufferException

parseFrom(ByteString data)

public static ExplainRequest parseFrom(ByteString data)
Parameter
NameDescription
dataByteString
Returns
TypeDescription
ExplainRequest
Exceptions
TypeDescription
InvalidProtocolBufferException

parseFrom(ByteString data, ExtensionRegistryLite extensionRegistry)

public static ExplainRequest parseFrom(ByteString data, ExtensionRegistryLite extensionRegistry)
Parameters
NameDescription
dataByteString
extensionRegistryExtensionRegistryLite
Returns
TypeDescription
ExplainRequest
Exceptions
TypeDescription
InvalidProtocolBufferException

parseFrom(CodedInputStream input)

public static ExplainRequest parseFrom(CodedInputStream input)
Parameter
NameDescription
inputCodedInputStream
Returns
TypeDescription
ExplainRequest
Exceptions
TypeDescription
IOException

parseFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

public static ExplainRequest parseFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
Parameters
NameDescription
inputCodedInputStream
extensionRegistryExtensionRegistryLite
Returns
TypeDescription
ExplainRequest
Exceptions
TypeDescription
IOException

parseFrom(InputStream input)

public static ExplainRequest parseFrom(InputStream input)
Parameter
NameDescription
inputInputStream
Returns
TypeDescription
ExplainRequest
Exceptions
TypeDescription
IOException

parseFrom(InputStream input, ExtensionRegistryLite extensionRegistry)

public static ExplainRequest parseFrom(InputStream input, ExtensionRegistryLite extensionRegistry)
Parameters
NameDescription
inputInputStream
extensionRegistryExtensionRegistryLite
Returns
TypeDescription
ExplainRequest
Exceptions
TypeDescription
IOException

parseFrom(ByteBuffer data)

public static ExplainRequest parseFrom(ByteBuffer data)
Parameter
NameDescription
dataByteBuffer
Returns
TypeDescription
ExplainRequest
Exceptions
TypeDescription
InvalidProtocolBufferException

parseFrom(ByteBuffer data, ExtensionRegistryLite extensionRegistry)

public static ExplainRequest parseFrom(ByteBuffer data, ExtensionRegistryLite extensionRegistry)
Parameters
NameDescription
dataByteBuffer
extensionRegistryExtensionRegistryLite
Returns
TypeDescription
ExplainRequest
Exceptions
TypeDescription
InvalidProtocolBufferException

parser()

public static Parser<ExplainRequest> parser()
Returns
TypeDescription
Parser<ExplainRequest>

Methods

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
NameDescription
keyString
Returns
TypeDescription
boolean

equals(Object obj)

public boolean equals(Object obj)
Parameter
NameDescription
objObject
Returns
TypeDescription
boolean
Overrides

getConcurrentExplanationSpecOverride() (deprecated)

public Map<String,ExplanationSpecOverride> getConcurrentExplanationSpecOverride()
Returns
TypeDescription
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
TypeDescription
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
TypeDescription
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
NameDescription
keyString
defaultValueExplanationSpecOverride
Returns
TypeDescription
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
NameDescription
keyString
Returns
TypeDescription
ExplanationSpecOverride

getDefaultInstanceForType()

public ExplainRequest getDefaultInstanceForType()
Returns
TypeDescription
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
TypeDescription
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
TypeDescription
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
TypeDescription
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
TypeDescription
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
TypeDescription
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.v1beta1.ExplanationSpecOverride explanation_spec_override = 5;

Returns
TypeDescription
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
NameDescription
indexint
Returns
TypeDescription
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
TypeDescription
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
TypeDescription
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
NameDescription
indexint
Returns
TypeDescription
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
TypeDescription
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
TypeDescription
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
TypeDescription
ValueOrBuilder

getParserForType()

public Parser<ExplainRequest> getParserForType()
Returns
TypeDescription
Parser<ExplainRequest>
Overrides

getSerializedSize()

public int getSerializedSize()
Returns
TypeDescription
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.v1beta1.ExplanationSpecOverride explanation_spec_override = 5;

Returns
TypeDescription
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
TypeDescription
boolean

Whether the parameters field is set.

hashCode()

public int hashCode()
Returns
TypeDescription
int
Overrides

internalGetFieldAccessorTable()

protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
Returns
TypeDescription
FieldAccessorTable
Overrides

internalGetMapField(int number)

protected MapField internalGetMapField(int number)
Parameter
NameDescription
numberint
Returns
TypeDescription
MapField
Overrides

isInitialized()

public final boolean isInitialized()
Returns
TypeDescription
boolean
Overrides

newBuilderForType()

public ExplainRequest.Builder newBuilderForType()
Returns
TypeDescription
ExplainRequest.Builder

newBuilderForType(GeneratedMessageV3.BuilderParent parent)

protected ExplainRequest.Builder newBuilderForType(GeneratedMessageV3.BuilderParent parent)
Parameter
NameDescription
parentBuilderParent
Returns
TypeDescription
ExplainRequest.Builder
Overrides

newInstance(GeneratedMessageV3.UnusedPrivateParameter unused)

protected Object newInstance(GeneratedMessageV3.UnusedPrivateParameter unused)
Parameter
NameDescription
unusedUnusedPrivateParameter
Returns
TypeDescription
Object
Overrides

toBuilder()

public ExplainRequest.Builder toBuilder()
Returns
TypeDescription
ExplainRequest.Builder

writeTo(CodedOutputStream output)

public void writeTo(CodedOutputStream output)
Parameter
NameDescription
outputCodedOutputStream
Overrides
Exceptions
TypeDescription
IOException