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public static final class ImageSegmentationPredictionParams.Builder extends GeneratedMessageV3.Builder<ImageSegmentationPredictionParams.Builder> implements ImageSegmentationPredictionParamsOrBuilder
Prediction model parameters for Image Segmentation.
Protobuf type
google.cloud.aiplatform.v1.schema.predict.params.ImageSegmentationPredictionParams
Inheritance
Object > AbstractMessageLite.Builder<MessageType,BuilderType> > AbstractMessage.Builder<BuilderType> > GeneratedMessageV3.Builder > ImageSegmentationPredictionParams.BuilderImplements
ImageSegmentationPredictionParamsOrBuilderMethods
addRepeatedField(Descriptors.FieldDescriptor field, Object value)
public ImageSegmentationPredictionParams.Builder addRepeatedField(Descriptors.FieldDescriptor field, Object value)
Name | Description |
field | FieldDescriptor |
value | Object |
Type | Description |
ImageSegmentationPredictionParams.Builder |
build()
public ImageSegmentationPredictionParams build()
Type | Description |
ImageSegmentationPredictionParams |
buildPartial()
public ImageSegmentationPredictionParams buildPartial()
Type | Description |
ImageSegmentationPredictionParams |
clear()
public ImageSegmentationPredictionParams.Builder clear()
Type | Description |
ImageSegmentationPredictionParams.Builder |
clearConfidenceThreshold()
public ImageSegmentationPredictionParams.Builder clearConfidenceThreshold()
When the model predicts category of pixels of the image, it will only provide predictions for pixels that it is at least this much confident about. All other pixels will be classified as background. Default value is 0.5.
float confidence_threshold = 1;
Type | Description |
ImageSegmentationPredictionParams.Builder | This builder for chaining. |
clearField(Descriptors.FieldDescriptor field)
public ImageSegmentationPredictionParams.Builder clearField(Descriptors.FieldDescriptor field)
Name | Description |
field | FieldDescriptor |
Type | Description |
ImageSegmentationPredictionParams.Builder |
clearOneof(Descriptors.OneofDescriptor oneof)
public ImageSegmentationPredictionParams.Builder clearOneof(Descriptors.OneofDescriptor oneof)
Name | Description |
oneof | OneofDescriptor |
Type | Description |
ImageSegmentationPredictionParams.Builder |
clone()
public ImageSegmentationPredictionParams.Builder clone()
Type | Description |
ImageSegmentationPredictionParams.Builder |
getConfidenceThreshold()
public float getConfidenceThreshold()
When the model predicts category of pixels of the image, it will only provide predictions for pixels that it is at least this much confident about. All other pixels will be classified as background. Default value is 0.5.
float confidence_threshold = 1;
Type | Description |
float | The confidenceThreshold. |
getDefaultInstanceForType()
public ImageSegmentationPredictionParams getDefaultInstanceForType()
Type | Description |
ImageSegmentationPredictionParams |
getDescriptor()
public static final Descriptors.Descriptor getDescriptor()
Type | Description |
Descriptor |
getDescriptorForType()
public Descriptors.Descriptor getDescriptorForType()
Type | Description |
Descriptor |
internalGetFieldAccessorTable()
protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
Type | Description |
FieldAccessorTable |
isInitialized()
public final boolean isInitialized()
Type | Description |
boolean |
mergeFrom(ImageSegmentationPredictionParams other)
public ImageSegmentationPredictionParams.Builder mergeFrom(ImageSegmentationPredictionParams other)
Name | Description |
other | ImageSegmentationPredictionParams |
Type | Description |
ImageSegmentationPredictionParams.Builder |
mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
public ImageSegmentationPredictionParams.Builder mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
Name | Description |
input | CodedInputStream |
extensionRegistry | ExtensionRegistryLite |
Type | Description |
ImageSegmentationPredictionParams.Builder |
Type | Description |
IOException |
mergeFrom(Message other)
public ImageSegmentationPredictionParams.Builder mergeFrom(Message other)
Name | Description |
other | Message |
Type | Description |
ImageSegmentationPredictionParams.Builder |
mergeUnknownFields(UnknownFieldSet unknownFields)
public final ImageSegmentationPredictionParams.Builder mergeUnknownFields(UnknownFieldSet unknownFields)
Name | Description |
unknownFields | UnknownFieldSet |
Type | Description |
ImageSegmentationPredictionParams.Builder |
setConfidenceThreshold(float value)
public ImageSegmentationPredictionParams.Builder setConfidenceThreshold(float value)
When the model predicts category of pixels of the image, it will only provide predictions for pixels that it is at least this much confident about. All other pixels will be classified as background. Default value is 0.5.
float confidence_threshold = 1;
Name | Description |
value | float The confidenceThreshold to set. |
Type | Description |
ImageSegmentationPredictionParams.Builder | This builder for chaining. |
setField(Descriptors.FieldDescriptor field, Object value)
public ImageSegmentationPredictionParams.Builder setField(Descriptors.FieldDescriptor field, Object value)
Name | Description |
field | FieldDescriptor |
value | Object |
Type | Description |
ImageSegmentationPredictionParams.Builder |
setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)
public ImageSegmentationPredictionParams.Builder setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)
Name | Description |
field | FieldDescriptor |
index | int |
value | Object |
Type | Description |
ImageSegmentationPredictionParams.Builder |
setUnknownFields(UnknownFieldSet unknownFields)
public final ImageSegmentationPredictionParams.Builder setUnknownFields(UnknownFieldSet unknownFields)
Name | Description |
unknownFields | UnknownFieldSet |
Type | Description |
ImageSegmentationPredictionParams.Builder |