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Class ImageSegmentationPredictionParams.Builder (3.4.1)
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Version 3.4.1 keyboard_arrow_down
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.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 ImageSegmentationPredictionParams . Builder addRepeatedField ( Descriptors . FieldDescriptor field , Object value )
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public ImageSegmentationPredictionParams build ()
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public ImageSegmentationPredictionParams buildPartial ()
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public ImageSegmentationPredictionParams . Builder clear ()
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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;
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public ImageSegmentationPredictionParams . Builder clearField ( Descriptors . FieldDescriptor field )
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public ImageSegmentationPredictionParams . Builder clearOneof ( Descriptors . OneofDescriptor oneof )
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public ImageSegmentationPredictionParams . Builder clone ()
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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 ()
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public Descriptors . Descriptor getDescriptorForType ()
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protected GeneratedMessageV3 . FieldAccessorTable internalGetFieldAccessorTable ()
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public final boolean isInitialized ()
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public ImageSegmentationPredictionParams . Builder mergeFrom ( ImageSegmentationPredictionParams other )
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public ImageSegmentationPredictionParams . Builder mergeFrom ( CodedInputStream input , ExtensionRegistryLite extensionRegistry )
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Exceptions
public ImageSegmentationPredictionParams . Builder mergeFrom ( Message other )
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public final ImageSegmentationPredictionParams . Builder mergeUnknownFields ( UnknownFieldSet unknownFields )
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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.
Returns
public ImageSegmentationPredictionParams . Builder setField ( Descriptors . FieldDescriptor field , Object value )
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public ImageSegmentationPredictionParams . Builder setRepeatedField ( Descriptors . FieldDescriptor field , int index , Object value )
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public final ImageSegmentationPredictionParams . Builder setUnknownFields ( UnknownFieldSet unknownFields )
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Last updated 2025-01-27 UTC.
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