public final class ExplainRequest extends GeneratedMessageV3 implements ExplainRequestOrBuilder
Request message for
PredictionService.Explain.
Protobuf type google.cloud.vertexai.v1.ExplainRequest
Inherited Members
com.google.protobuf.GeneratedMessageV3.<ListT>makeMutableCopy(ListT)
com.google.protobuf.GeneratedMessageV3.<ListT>makeMutableCopy(ListT,int)
com.google.protobuf.GeneratedMessageV3.<T>emptyList(java.lang.Class<T>)
com.google.protobuf.GeneratedMessageV3.internalGetMapFieldReflection(int)
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()
getDescriptor()
public static final Descriptors.Descriptor getDescriptor()
newBuilder()
public static ExplainRequest.Builder newBuilder()
newBuilder(ExplainRequest prototype)
public static ExplainRequest.Builder newBuilder(ExplainRequest prototype)
public static ExplainRequest parseDelimitedFrom(InputStream input)
public static ExplainRequest parseDelimitedFrom(InputStream input, ExtensionRegistryLite extensionRegistry)
parseFrom(byte[] data)
public static ExplainRequest parseFrom(byte[] data)
| Parameter |
| Name |
Description |
data |
byte[]
|
parseFrom(byte[] data, ExtensionRegistryLite extensionRegistry)
public static ExplainRequest parseFrom(byte[] data, ExtensionRegistryLite extensionRegistry)
parseFrom(ByteString data)
public static ExplainRequest parseFrom(ByteString data)
parseFrom(ByteString data, ExtensionRegistryLite extensionRegistry)
public static ExplainRequest parseFrom(ByteString data, ExtensionRegistryLite extensionRegistry)
public static ExplainRequest parseFrom(CodedInputStream input)
public static ExplainRequest parseFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
public static ExplainRequest parseFrom(InputStream input)
public static ExplainRequest parseFrom(InputStream input, ExtensionRegistryLite extensionRegistry)
parseFrom(ByteBuffer data)
public static ExplainRequest parseFrom(ByteBuffer data)
parseFrom(ByteBuffer data, ExtensionRegistryLite extensionRegistry)
public static ExplainRequest parseFrom(ByteBuffer data, ExtensionRegistryLite extensionRegistry)
parser()
public static Parser<ExplainRequest> parser()
Methods
equals(Object obj)
public boolean equals(Object obj)
| Parameter |
| Name |
Description |
obj |
Object
|
Overrides
getDefaultInstanceForType()
public ExplainRequest getDefaultInstanceForType()
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.vertexai.v1.ExplanationSpecOverride explanation_spec_override = 5;
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.vertexai.v1.ExplanationSpecOverride explanation_spec_override = 5;
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];
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
|
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;
getParserForType()
public Parser<ExplainRequest> getParserForType()
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.vertexai.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()
| Returns |
| Type |
Description |
int |
|
Overrides
internalGetFieldAccessorTable()
protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
Overrides
isInitialized()
public final boolean isInitialized()
Overrides
newBuilderForType()
public ExplainRequest.Builder newBuilderForType()
newBuilderForType(GeneratedMessageV3.BuilderParent parent)
protected ExplainRequest.Builder newBuilderForType(GeneratedMessageV3.BuilderParent parent)
Overrides
newInstance(GeneratedMessageV3.UnusedPrivateParameter unused)
protected Object newInstance(GeneratedMessageV3.UnusedPrivateParameter unused)
| Returns |
| Type |
Description |
Object |
|
Overrides
toBuilder()
public ExplainRequest.Builder toBuilder()
writeTo(CodedOutputStream output)
public void writeTo(CodedOutputStream output)
Overrides
