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public static final class PredictSchemata.Builder extends GeneratedMessageV3.Builder<PredictSchemata.Builder> implements PredictSchemataOrBuilderContains the schemata used in Model's predictions and explanations via PredictionService.Predict, PredictionService.Explain and BatchPredictionJob.
Protobuf type google.cloud.aiplatform.v1beta1.PredictSchemata
Inheritance
Object > AbstractMessageLite.Builder<MessageType,BuilderType> > AbstractMessage.Builder<BuilderType> > GeneratedMessageV3.Builder > PredictSchemata.BuilderImplements
PredictSchemataOrBuilderStatic Methods
getDescriptor()
public static final Descriptors.Descriptor getDescriptor()| Type | Description |
| Descriptor |
Methods
addRepeatedField(Descriptors.FieldDescriptor field, Object value)
public PredictSchemata.Builder addRepeatedField(Descriptors.FieldDescriptor field, Object value)| Name | Description |
| field | FieldDescriptor |
| value | Object |
| Type | Description |
| PredictSchemata.Builder |
build()
public PredictSchemata build()| Type | Description |
| PredictSchemata |
buildPartial()
public PredictSchemata buildPartial()| Type | Description |
| PredictSchemata |
clear()
public PredictSchemata.Builder clear()| Type | Description |
| PredictSchemata.Builder |
clearField(Descriptors.FieldDescriptor field)
public PredictSchemata.Builder clearField(Descriptors.FieldDescriptor field)| Name | Description |
| field | FieldDescriptor |
| Type | Description |
| PredictSchemata.Builder |
clearInstanceSchemaUri()
public PredictSchemata.Builder clearInstanceSchemaUri()Immutable. Points to a YAML file stored on Google Cloud Storage describing the format of a single instance, which are used in PredictRequest.instances, ExplainRequest.instances and BatchPredictionJob.input_config. The schema is defined as an OpenAPI 3.0.2 Schema Object. AutoML Models always have this field populated by Vertex AI. Note: The URI given on output will be immutable and probably different, including the URI scheme, than the one given on input. The output URI will point to a location where the user only has a read access.
string instance_schema_uri = 1 [(.google.api.field_behavior) = IMMUTABLE];
| Type | Description |
| PredictSchemata.Builder | This builder for chaining. |
clearOneof(Descriptors.OneofDescriptor oneof)
public PredictSchemata.Builder clearOneof(Descriptors.OneofDescriptor oneof)| Name | Description |
| oneof | OneofDescriptor |
| Type | Description |
| PredictSchemata.Builder |
clearParametersSchemaUri()
public PredictSchemata.Builder clearParametersSchemaUri()Immutable. Points to a YAML file stored on Google Cloud Storage describing the parameters of prediction and explanation via PredictRequest.parameters, ExplainRequest.parameters and BatchPredictionJob.model_parameters. The schema is defined as an OpenAPI 3.0.2 Schema Object. AutoML Models always have this field populated by Vertex AI, if no parameters are supported, then it is set to an empty string. Note: The URI given on output will be immutable and probably different, including the URI scheme, than the one given on input. The output URI will point to a location where the user only has a read access.
string parameters_schema_uri = 2 [(.google.api.field_behavior) = IMMUTABLE];
| Type | Description |
| PredictSchemata.Builder | This builder for chaining. |
clearPredictionSchemaUri()
public PredictSchemata.Builder clearPredictionSchemaUri()Immutable. Points to a YAML file stored on Google Cloud Storage describing the format of a single prediction produced by this Model, which are returned via PredictResponse.predictions, ExplainResponse.explanations, and BatchPredictionJob.output_config. The schema is defined as an OpenAPI 3.0.2 Schema Object. AutoML Models always have this field populated by Vertex AI. Note: The URI given on output will be immutable and probably different, including the URI scheme, than the one given on input. The output URI will point to a location where the user only has a read access.
string prediction_schema_uri = 3 [(.google.api.field_behavior) = IMMUTABLE];
| Type | Description |
| PredictSchemata.Builder | This builder for chaining. |
clone()
public PredictSchemata.Builder clone()| Type | Description |
| PredictSchemata.Builder |
getDefaultInstanceForType()
public PredictSchemata getDefaultInstanceForType()| Type | Description |
| PredictSchemata |
getDescriptorForType()
public Descriptors.Descriptor getDescriptorForType()| Type | Description |
| Descriptor |
getInstanceSchemaUri()
public String getInstanceSchemaUri()Immutable. Points to a YAML file stored on Google Cloud Storage describing the format of a single instance, which are used in PredictRequest.instances, ExplainRequest.instances and BatchPredictionJob.input_config. The schema is defined as an OpenAPI 3.0.2 Schema Object. AutoML Models always have this field populated by Vertex AI. Note: The URI given on output will be immutable and probably different, including the URI scheme, than the one given on input. The output URI will point to a location where the user only has a read access.
string instance_schema_uri = 1 [(.google.api.field_behavior) = IMMUTABLE];
| Type | Description |
| String | The instanceSchemaUri. |
getInstanceSchemaUriBytes()
public ByteString getInstanceSchemaUriBytes()Immutable. Points to a YAML file stored on Google Cloud Storage describing the format of a single instance, which are used in PredictRequest.instances, ExplainRequest.instances and BatchPredictionJob.input_config. The schema is defined as an OpenAPI 3.0.2 Schema Object. AutoML Models always have this field populated by Vertex AI. Note: The URI given on output will be immutable and probably different, including the URI scheme, than the one given on input. The output URI will point to a location where the user only has a read access.
string instance_schema_uri = 1 [(.google.api.field_behavior) = IMMUTABLE];
| Type | Description |
| ByteString | The bytes for instanceSchemaUri. |
getParametersSchemaUri()
public String getParametersSchemaUri()Immutable. Points to a YAML file stored on Google Cloud Storage describing the parameters of prediction and explanation via PredictRequest.parameters, ExplainRequest.parameters and BatchPredictionJob.model_parameters. The schema is defined as an OpenAPI 3.0.2 Schema Object. AutoML Models always have this field populated by Vertex AI, if no parameters are supported, then it is set to an empty string. Note: The URI given on output will be immutable and probably different, including the URI scheme, than the one given on input. The output URI will point to a location where the user only has a read access.
string parameters_schema_uri = 2 [(.google.api.field_behavior) = IMMUTABLE];
| Type | Description |
| String | The parametersSchemaUri. |
getParametersSchemaUriBytes()
public ByteString getParametersSchemaUriBytes()Immutable. Points to a YAML file stored on Google Cloud Storage describing the parameters of prediction and explanation via PredictRequest.parameters, ExplainRequest.parameters and BatchPredictionJob.model_parameters. The schema is defined as an OpenAPI 3.0.2 Schema Object. AutoML Models always have this field populated by Vertex AI, if no parameters are supported, then it is set to an empty string. Note: The URI given on output will be immutable and probably different, including the URI scheme, than the one given on input. The output URI will point to a location where the user only has a read access.
string parameters_schema_uri = 2 [(.google.api.field_behavior) = IMMUTABLE];
| Type | Description |
| ByteString | The bytes for parametersSchemaUri. |
getPredictionSchemaUri()
public String getPredictionSchemaUri()Immutable. Points to a YAML file stored on Google Cloud Storage describing the format of a single prediction produced by this Model, which are returned via PredictResponse.predictions, ExplainResponse.explanations, and BatchPredictionJob.output_config. The schema is defined as an OpenAPI 3.0.2 Schema Object. AutoML Models always have this field populated by Vertex AI. Note: The URI given on output will be immutable and probably different, including the URI scheme, than the one given on input. The output URI will point to a location where the user only has a read access.
string prediction_schema_uri = 3 [(.google.api.field_behavior) = IMMUTABLE];
| Type | Description |
| String | The predictionSchemaUri. |
getPredictionSchemaUriBytes()
public ByteString getPredictionSchemaUriBytes()Immutable. Points to a YAML file stored on Google Cloud Storage describing the format of a single prediction produced by this Model, which are returned via PredictResponse.predictions, ExplainResponse.explanations, and BatchPredictionJob.output_config. The schema is defined as an OpenAPI 3.0.2 Schema Object. AutoML Models always have this field populated by Vertex AI. Note: The URI given on output will be immutable and probably different, including the URI scheme, than the one given on input. The output URI will point to a location where the user only has a read access.
string prediction_schema_uri = 3 [(.google.api.field_behavior) = IMMUTABLE];
| Type | Description |
| ByteString | The bytes for predictionSchemaUri. |
internalGetFieldAccessorTable()
protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()| Type | Description |
| FieldAccessorTable |
isInitialized()
public final boolean isInitialized()| Type | Description |
| boolean |
mergeFrom(PredictSchemata other)
public PredictSchemata.Builder mergeFrom(PredictSchemata other)| Name | Description |
| other | PredictSchemata |
| Type | Description |
| PredictSchemata.Builder |
mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
public PredictSchemata.Builder mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)| Name | Description |
| input | CodedInputStream |
| extensionRegistry | ExtensionRegistryLite |
| Type | Description |
| PredictSchemata.Builder |
| Type | Description |
| IOException |
mergeFrom(Message other)
public PredictSchemata.Builder mergeFrom(Message other)| Name | Description |
| other | Message |
| Type | Description |
| PredictSchemata.Builder |
mergeUnknownFields(UnknownFieldSet unknownFields)
public final PredictSchemata.Builder mergeUnknownFields(UnknownFieldSet unknownFields)| Name | Description |
| unknownFields | UnknownFieldSet |
| Type | Description |
| PredictSchemata.Builder |
setField(Descriptors.FieldDescriptor field, Object value)
public PredictSchemata.Builder setField(Descriptors.FieldDescriptor field, Object value)| Name | Description |
| field | FieldDescriptor |
| value | Object |
| Type | Description |
| PredictSchemata.Builder |
setInstanceSchemaUri(String value)
public PredictSchemata.Builder setInstanceSchemaUri(String value)Immutable. Points to a YAML file stored on Google Cloud Storage describing the format of a single instance, which are used in PredictRequest.instances, ExplainRequest.instances and BatchPredictionJob.input_config. The schema is defined as an OpenAPI 3.0.2 Schema Object. AutoML Models always have this field populated by Vertex AI. Note: The URI given on output will be immutable and probably different, including the URI scheme, than the one given on input. The output URI will point to a location where the user only has a read access.
string instance_schema_uri = 1 [(.google.api.field_behavior) = IMMUTABLE];
| Name | Description |
| value | StringThe instanceSchemaUri to set. |
| Type | Description |
| PredictSchemata.Builder | This builder for chaining. |
setInstanceSchemaUriBytes(ByteString value)
public PredictSchemata.Builder setInstanceSchemaUriBytes(ByteString value)Immutable. Points to a YAML file stored on Google Cloud Storage describing the format of a single instance, which are used in PredictRequest.instances, ExplainRequest.instances and BatchPredictionJob.input_config. The schema is defined as an OpenAPI 3.0.2 Schema Object. AutoML Models always have this field populated by Vertex AI. Note: The URI given on output will be immutable and probably different, including the URI scheme, than the one given on input. The output URI will point to a location where the user only has a read access.
string instance_schema_uri = 1 [(.google.api.field_behavior) = IMMUTABLE];
| Name | Description |
| value | ByteStringThe bytes for instanceSchemaUri to set. |
| Type | Description |
| PredictSchemata.Builder | This builder for chaining. |
setParametersSchemaUri(String value)
public PredictSchemata.Builder setParametersSchemaUri(String value)Immutable. Points to a YAML file stored on Google Cloud Storage describing the parameters of prediction and explanation via PredictRequest.parameters, ExplainRequest.parameters and BatchPredictionJob.model_parameters. The schema is defined as an OpenAPI 3.0.2 Schema Object. AutoML Models always have this field populated by Vertex AI, if no parameters are supported, then it is set to an empty string. Note: The URI given on output will be immutable and probably different, including the URI scheme, than the one given on input. The output URI will point to a location where the user only has a read access.
string parameters_schema_uri = 2 [(.google.api.field_behavior) = IMMUTABLE];
| Name | Description |
| value | StringThe parametersSchemaUri to set. |
| Type | Description |
| PredictSchemata.Builder | This builder for chaining. |
setParametersSchemaUriBytes(ByteString value)
public PredictSchemata.Builder setParametersSchemaUriBytes(ByteString value)Immutable. Points to a YAML file stored on Google Cloud Storage describing the parameters of prediction and explanation via PredictRequest.parameters, ExplainRequest.parameters and BatchPredictionJob.model_parameters. The schema is defined as an OpenAPI 3.0.2 Schema Object. AutoML Models always have this field populated by Vertex AI, if no parameters are supported, then it is set to an empty string. Note: The URI given on output will be immutable and probably different, including the URI scheme, than the one given on input. The output URI will point to a location where the user only has a read access.
string parameters_schema_uri = 2 [(.google.api.field_behavior) = IMMUTABLE];
| Name | Description |
| value | ByteStringThe bytes for parametersSchemaUri to set. |
| Type | Description |
| PredictSchemata.Builder | This builder for chaining. |
setPredictionSchemaUri(String value)
public PredictSchemata.Builder setPredictionSchemaUri(String value)Immutable. Points to a YAML file stored on Google Cloud Storage describing the format of a single prediction produced by this Model, which are returned via PredictResponse.predictions, ExplainResponse.explanations, and BatchPredictionJob.output_config. The schema is defined as an OpenAPI 3.0.2 Schema Object. AutoML Models always have this field populated by Vertex AI. Note: The URI given on output will be immutable and probably different, including the URI scheme, than the one given on input. The output URI will point to a location where the user only has a read access.
string prediction_schema_uri = 3 [(.google.api.field_behavior) = IMMUTABLE];
| Name | Description |
| value | StringThe predictionSchemaUri to set. |
| Type | Description |
| PredictSchemata.Builder | This builder for chaining. |
setPredictionSchemaUriBytes(ByteString value)
public PredictSchemata.Builder setPredictionSchemaUriBytes(ByteString value)Immutable. Points to a YAML file stored on Google Cloud Storage describing the format of a single prediction produced by this Model, which are returned via PredictResponse.predictions, ExplainResponse.explanations, and BatchPredictionJob.output_config. The schema is defined as an OpenAPI 3.0.2 Schema Object. AutoML Models always have this field populated by Vertex AI. Note: The URI given on output will be immutable and probably different, including the URI scheme, than the one given on input. The output URI will point to a location where the user only has a read access.
string prediction_schema_uri = 3 [(.google.api.field_behavior) = IMMUTABLE];
| Name | Description |
| value | ByteStringThe bytes for predictionSchemaUri to set. |
| Type | Description |
| PredictSchemata.Builder | This builder for chaining. |
setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)
public PredictSchemata.Builder setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)| Name | Description |
| field | FieldDescriptor |
| index | int |
| value | Object |
| Type | Description |
| PredictSchemata.Builder |
setUnknownFields(UnknownFieldSet unknownFields)
public final PredictSchemata.Builder setUnknownFields(UnknownFieldSet unknownFields)| Name | Description |
| unknownFields | UnknownFieldSet |
| Type | Description |
| PredictSchemata.Builder |