public static final class ImageClassificationModelDeploymentMetadata.Builder extends GeneratedMessageV3.Builder<ImageClassificationModelDeploymentMetadata.Builder> implements ImageClassificationModelDeploymentMetadataOrBuilder
Model deployment metadata specific to Image Classification.
Protobuf type google.cloud.automl.v1beta1.ImageClassificationModelDeploymentMetadata
Inherited Members
com.google.protobuf.GeneratedMessageV3.Builder.getUnknownFieldSetBuilder()
com.google.protobuf.GeneratedMessageV3.Builder.mergeUnknownLengthDelimitedField(int,com.google.protobuf.ByteString)
com.google.protobuf.GeneratedMessageV3.Builder.mergeUnknownVarintField(int,int)
com.google.protobuf.GeneratedMessageV3.Builder.parseUnknownField(com.google.protobuf.CodedInputStream,com.google.protobuf.ExtensionRegistryLite,int)
com.google.protobuf.GeneratedMessageV3.Builder.setUnknownFieldSetBuilder(com.google.protobuf.UnknownFieldSet.Builder)
Static Methods
public static final Descriptors.Descriptor getDescriptor()
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Methods
public ImageClassificationModelDeploymentMetadata.Builder addRepeatedField(Descriptors.FieldDescriptor field, Object value)
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public ImageClassificationModelDeploymentMetadata build()
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public ImageClassificationModelDeploymentMetadata buildPartial()
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public ImageClassificationModelDeploymentMetadata.Builder clear()
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public ImageClassificationModelDeploymentMetadata.Builder clearField(Descriptors.FieldDescriptor field)
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public ImageClassificationModelDeploymentMetadata.Builder clearNodeCount()
Input only. The number of nodes to deploy the model on. A node is an
abstraction of a machine resource, which can handle online prediction QPS
as given in the model's
node_qps.
Must be between 1 and 100, inclusive on both ends.
int64 node_count = 1;
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public ImageClassificationModelDeploymentMetadata.Builder clearOneof(Descriptors.OneofDescriptor oneof)
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public ImageClassificationModelDeploymentMetadata.Builder clone()
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public ImageClassificationModelDeploymentMetadata getDefaultInstanceForType()
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public Descriptors.Descriptor getDescriptorForType()
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public long getNodeCount()
Input only. The number of nodes to deploy the model on. A node is an
abstraction of a machine resource, which can handle online prediction QPS
as given in the model's
node_qps.
Must be between 1 and 100, inclusive on both ends.
int64 node_count = 1;
Returns
Type | Description |
long | The nodeCount.
|
protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
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public final boolean isInitialized()
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public ImageClassificationModelDeploymentMetadata.Builder mergeFrom(ImageClassificationModelDeploymentMetadata other)
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public ImageClassificationModelDeploymentMetadata.Builder mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
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Exceptions
public ImageClassificationModelDeploymentMetadata.Builder mergeFrom(Message other)
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public final ImageClassificationModelDeploymentMetadata.Builder mergeUnknownFields(UnknownFieldSet unknownFields)
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public ImageClassificationModelDeploymentMetadata.Builder setField(Descriptors.FieldDescriptor field, Object value)
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public ImageClassificationModelDeploymentMetadata.Builder setNodeCount(long value)
Input only. The number of nodes to deploy the model on. A node is an
abstraction of a machine resource, which can handle online prediction QPS
as given in the model's
node_qps.
Must be between 1 and 100, inclusive on both ends.
int64 node_count = 1;
Parameter
Name | Description |
value | long
The nodeCount to set.
|
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public ImageClassificationModelDeploymentMetadata.Builder setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)
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public final ImageClassificationModelDeploymentMetadata.Builder setUnknownFields(UnknownFieldSet unknownFields)
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