public static final class ImageSegmentationPredictionParams.Builder extends GeneratedMessageV3.Builder<ImageSegmentationPredictionParams.Builder> implements ImageSegmentationPredictionParamsOrBuilder
Prediction model parameters for Image Segmentation.
Protobuf type
google.cloud.aiplatform.v1beta1.schema.predict.params.ImageSegmentationPredictionParams
Inherited Members
com.google.protobuf.GeneratedMessageV3.Builder.getUnknownFieldSetBuilder()
com.google.protobuf.GeneratedMessageV3.Builder.internalGetMapFieldReflection(int)
com.google.protobuf.GeneratedMessageV3.Builder.internalGetMutableMapFieldReflection(int)
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()
Methods
public ImageSegmentationPredictionParams.Builder addRepeatedField(Descriptors.FieldDescriptor field, Object value)
Overrides
public ImageSegmentationPredictionParams build()
public ImageSegmentationPredictionParams buildPartial()
public ImageSegmentationPredictionParams.Builder clear()
Overrides
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;
public ImageSegmentationPredictionParams.Builder clearField(Descriptors.FieldDescriptor field)
Overrides
public ImageSegmentationPredictionParams.Builder clearOneof(Descriptors.OneofDescriptor oneof)
Overrides
public ImageSegmentationPredictionParams.Builder clone()
Overrides
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;
Returns |
---|
Type | Description |
float | The confidenceThreshold.
|
public ImageSegmentationPredictionParams getDefaultInstanceForType()
public Descriptors.Descriptor getDescriptorForType()
Overrides
protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
Overrides
public final boolean isInitialized()
Overrides
public ImageSegmentationPredictionParams.Builder mergeFrom(ImageSegmentationPredictionParams other)
public ImageSegmentationPredictionParams.Builder mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
Overrides
public ImageSegmentationPredictionParams.Builder mergeFrom(Message other)
Parameter |
---|
Name | Description |
other | Message
|
Overrides
public final ImageSegmentationPredictionParams.Builder mergeUnknownFields(UnknownFieldSet unknownFields)
Overrides
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;
Parameter |
---|
Name | Description |
value | float
The confidenceThreshold to set.
|
public ImageSegmentationPredictionParams.Builder setField(Descriptors.FieldDescriptor field, Object value)
Overrides
public ImageSegmentationPredictionParams.Builder setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)
Overrides
public final ImageSegmentationPredictionParams.Builder setUnknownFields(UnknownFieldSet unknownFields)
Overrides