public final class ExplainRequest extends GeneratedMessageV3 implements ExplainRequestOrBuilder
Request message for PredictionService.Explain.
Protobuf type google.cloud.aiplatform.v1.ExplainRequest
Static Fields
public static final int DEPLOYED_MODEL_ID_FIELD_NUMBER
Field Value
public static final int ENDPOINT_FIELD_NUMBER
Field Value
public static final int EXPLANATION_SPEC_OVERRIDE_FIELD_NUMBER
Field Value
public static final int INSTANCES_FIELD_NUMBER
Field Value
public static final int PARAMETERS_FIELD_NUMBER
Field Value
Static Methods
public static ExplainRequest getDefaultInstance()
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public static final Descriptors.Descriptor getDescriptor()
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public static ExplainRequest.Builder newBuilder()
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public static ExplainRequest.Builder newBuilder(ExplainRequest prototype)
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public static ExplainRequest parseDelimitedFrom(InputStream input)
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public static ExplainRequest parseDelimitedFrom(InputStream input, ExtensionRegistryLite extensionRegistry)
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public static ExplainRequest parseFrom(byte[] data)
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| Name | Description |
| data | byte[]
|
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public static ExplainRequest parseFrom(byte[] data, ExtensionRegistryLite extensionRegistry)
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public static ExplainRequest parseFrom(ByteString data)
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public static ExplainRequest parseFrom(ByteString data, ExtensionRegistryLite extensionRegistry)
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public static ExplainRequest parseFrom(CodedInputStream input)
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public static ExplainRequest parseFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
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public static ExplainRequest parseFrom(InputStream input)
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public static ExplainRequest parseFrom(InputStream input, ExtensionRegistryLite extensionRegistry)
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public static ExplainRequest parseFrom(ByteBuffer data)
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public static ExplainRequest parseFrom(ByteBuffer data, ExtensionRegistryLite extensionRegistry)
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public static Parser<ExplainRequest> parser()
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Methods
public boolean equals(Object obj)
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Overrides
public ExplainRequest getDefaultInstanceForType()
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public String getDeployedModelId()
If specified, this ExplainRequest will be served by the chosen
DeployedModel, overriding Endpoint.traffic_split.
string deployed_model_id = 3;
| Type | Description |
| String | The deployedModelId.
|
public ByteString getDeployedModelIdBytes()
If specified, this ExplainRequest will be served by the chosen
DeployedModel, overriding Endpoint.traffic_split.
string deployed_model_id = 3;
| Type | Description |
| ByteString | The bytes for deployedModelId.
|
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) = { ... }
| Type | Description |
| String | The endpoint.
|
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) = { ... }
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;
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;
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];
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];
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];
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];
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];
| Type | Description |
| List<? extends com.google.protobuf.ValueOrBuilder> | |
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;
| Type | Description |
| Value | The parameters.
|
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;
public Parser<ExplainRequest> getParserForType()
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public int getSerializedSize()
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public final UnknownFieldSet getUnknownFields()
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Overrides
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;
| Type | Description |
| boolean | Whether the explanationSpecOverride field is set.
|
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;
| Type | Description |
| boolean | Whether the parameters field is set.
|
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protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
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public final boolean isInitialized()
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Overrides
public ExplainRequest.Builder newBuilderForType()
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protected ExplainRequest.Builder newBuilderForType(GeneratedMessageV3.BuilderParent parent)
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protected Object newInstance(GeneratedMessageV3.UnusedPrivateParameter unused)
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public ExplainRequest.Builder toBuilder()
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public void writeTo(CodedOutputStream output)
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Exceptions
