com.google.cloud.aiplatform.v1beta1

Class ExplanationMetadata.InputMetadata.Visualization.Builder

java.lang.Object

com.google.protobuf.AbstractMessageLite.Builder

com.google.protobuf.AbstractMessage.Builder<BuilderT>

com.google.protobuf.GeneratedMessageV3.Builder<ExplanationMetadata.InputMetadata.Visualization.Builder>

com.google.cloud.aiplatform.v1beta1.ExplanationMetadata.InputMetadata.Visualization.Builder

All Implemented Interfaces:

ExplanationMetadata.InputMetadata.VisualizationOrBuilder, com.google.protobuf.Message.Builder, com.google.protobuf.MessageLite.Builder, com.google.protobuf.MessageLiteOrBuilder, com.google.protobuf.MessageOrBuilder, Cloneable

Enclosing class:

ExplanationMetadata.InputMetadata.Visualization

public static final class ExplanationMetadata.InputMetadata.Visualization.Builder
extends com.google.protobuf.GeneratedMessageV3.Builder<ExplanationMetadata.InputMetadata.Visualization.Builder>
implements ExplanationMetadata.InputMetadata.VisualizationOrBuilder

 Visualization configurations for image explanation.
 

Protobuf type google.cloud.aiplatform.v1beta1.ExplanationMetadata.InputMetadata.Visualization

Method Summary

Modifier and Type	Method and Description
ExplanationMetadata.InputMetadata.Visualization.Builder	addRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor field, Object value)
ExplanationMetadata.InputMetadata.Visualization	build()
ExplanationMetadata.InputMetadata.Visualization	buildPartial()
ExplanationMetadata.InputMetadata.Visualization.Builder	clear()
ExplanationMetadata.InputMetadata.Visualization.Builder	clearClipPercentLowerbound() Excludes attributions below the specified percentile, from the highlighted areas.
ExplanationMetadata.InputMetadata.Visualization.Builder	clearClipPercentUpperbound() Excludes attributions above the specified percentile from the highlighted areas.
ExplanationMetadata.InputMetadata.Visualization.Builder	clearColorMap() The color scheme used for the highlighted areas.
ExplanationMetadata.InputMetadata.Visualization.Builder	clearField(com.google.protobuf.Descriptors.FieldDescriptor field)
ExplanationMetadata.InputMetadata.Visualization.Builder	clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof)
ExplanationMetadata.InputMetadata.Visualization.Builder	clearOverlayType() How the original image is displayed in the visualization.
ExplanationMetadata.InputMetadata.Visualization.Builder	clearPolarity() Whether to only highlight pixels with positive contributions, negative or both.
ExplanationMetadata.InputMetadata.Visualization.Builder	clearType() Type of the image visualization.
ExplanationMetadata.InputMetadata.Visualization.Builder	clone()
float	getClipPercentLowerbound() Excludes attributions below the specified percentile, from the highlighted areas.
float	getClipPercentUpperbound() Excludes attributions above the specified percentile from the highlighted areas.
ExplanationMetadata.InputMetadata.Visualization.ColorMap	getColorMap() The color scheme used for the highlighted areas.
int	getColorMapValue() The color scheme used for the highlighted areas.
ExplanationMetadata.InputMetadata.Visualization	getDefaultInstanceForType()
static com.google.protobuf.Descriptors.Descriptor	getDescriptor()
com.google.protobuf.Descriptors.Descriptor	getDescriptorForType()
ExplanationMetadata.InputMetadata.Visualization.OverlayType	getOverlayType() How the original image is displayed in the visualization.
int	getOverlayTypeValue() How the original image is displayed in the visualization.
ExplanationMetadata.InputMetadata.Visualization.Polarity	getPolarity() Whether to only highlight pixels with positive contributions, negative or both.
int	getPolarityValue() Whether to only highlight pixels with positive contributions, negative or both.
ExplanationMetadata.InputMetadata.Visualization.Type	getType() Type of the image visualization.
int	getTypeValue() Type of the image visualization.
protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable	internalGetFieldAccessorTable()
boolean	isInitialized()
ExplanationMetadata.InputMetadata.Visualization.Builder	mergeFrom(com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
ExplanationMetadata.InputMetadata.Visualization.Builder	mergeFrom(ExplanationMetadata.InputMetadata.Visualization other)
ExplanationMetadata.InputMetadata.Visualization.Builder	mergeFrom(com.google.protobuf.Message other)
ExplanationMetadata.InputMetadata.Visualization.Builder	mergeUnknownFields(com.google.protobuf.UnknownFieldSet unknownFields)
ExplanationMetadata.InputMetadata.Visualization.Builder	setClipPercentLowerbound(float value) Excludes attributions below the specified percentile, from the highlighted areas.
ExplanationMetadata.InputMetadata.Visualization.Builder	setClipPercentUpperbound(float value) Excludes attributions above the specified percentile from the highlighted areas.
ExplanationMetadata.InputMetadata.Visualization.Builder	setColorMap(ExplanationMetadata.InputMetadata.Visualization.ColorMap value) The color scheme used for the highlighted areas.
ExplanationMetadata.InputMetadata.Visualization.Builder	setColorMapValue(int value) The color scheme used for the highlighted areas.
ExplanationMetadata.InputMetadata.Visualization.Builder	setField(com.google.protobuf.Descriptors.FieldDescriptor field, Object value)
ExplanationMetadata.InputMetadata.Visualization.Builder	setOverlayType(ExplanationMetadata.InputMetadata.Visualization.OverlayType value) How the original image is displayed in the visualization.
ExplanationMetadata.InputMetadata.Visualization.Builder	setOverlayTypeValue(int value) How the original image is displayed in the visualization.
ExplanationMetadata.InputMetadata.Visualization.Builder	setPolarity(ExplanationMetadata.InputMetadata.Visualization.Polarity value) Whether to only highlight pixels with positive contributions, negative or both.
ExplanationMetadata.InputMetadata.Visualization.Builder	setPolarityValue(int value) Whether to only highlight pixels with positive contributions, negative or both.
ExplanationMetadata.InputMetadata.Visualization.Builder	setRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor field, int index, Object value)
ExplanationMetadata.InputMetadata.Visualization.Builder	setType(ExplanationMetadata.InputMetadata.Visualization.Type value) Type of the image visualization.
ExplanationMetadata.InputMetadata.Visualization.Builder	setTypeValue(int value) Type of the image visualization.
ExplanationMetadata.InputMetadata.Visualization.Builder	setUnknownFields(com.google.protobuf.UnknownFieldSet unknownFields)

Methods inherited from class com.google.protobuf.GeneratedMessageV3.Builder

getAllFields, getField, getFieldBuilder, getOneofFieldDescriptor, getParentForChildren, getRepeatedField, getRepeatedFieldBuilder, getRepeatedFieldCount, getUnknownFields, getUnknownFieldSetBuilder, hasField, hasOneof, internalGetMapField, internalGetMapFieldReflection, internalGetMutableMapField, internalGetMutableMapFieldReflection, isClean, markClean, mergeUnknownLengthDelimitedField, mergeUnknownVarintField, newBuilderForField, onBuilt, onChanged, parseUnknownField, setUnknownFieldSetBuilder, setUnknownFieldsProto3

Methods inherited from class com.google.protobuf.AbstractMessage.Builder

findInitializationErrors, getInitializationErrorString, internalMergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, newUninitializedMessageException, toString

Methods inherited from class com.google.protobuf.AbstractMessageLite.Builder

addAll, addAll, mergeDelimitedFrom, mergeDelimitedFrom, newUninitializedMessageException

Methods inherited from class java.lang.Object

equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait

Methods inherited from interface com.google.protobuf.MessageOrBuilder

findInitializationErrors, getAllFields, getField, getInitializationErrorString, getOneofFieldDescriptor, getRepeatedField, getRepeatedFieldCount, getUnknownFields, hasField, hasOneof

Methods inherited from interface com.google.protobuf.Message.Builder

mergeDelimitedFrom, mergeDelimitedFrom

Method Detail

getDescriptor

public static final com.google.protobuf.Descriptors.Descriptor getDescriptor()

internalGetFieldAccessorTable

protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()

Specified by:

internalGetFieldAccessorTable in class com.google.protobuf.GeneratedMessageV3.Builder<ExplanationMetadata.InputMetadata.Visualization.Builder>

clear

public ExplanationMetadata.InputMetadata.Visualization.Builder clear()

Specified by:

clear in interface com.google.protobuf.Message.Builder

Specified by:

clear in interface com.google.protobuf.MessageLite.Builder

Overrides:

clear in class com.google.protobuf.GeneratedMessageV3.Builder<ExplanationMetadata.InputMetadata.Visualization.Builder>

getDescriptorForType

public com.google.protobuf.Descriptors.Descriptor getDescriptorForType()

Specified by:

getDescriptorForType in interface com.google.protobuf.Message.Builder

Specified by:

getDescriptorForType in interface com.google.protobuf.MessageOrBuilder

Overrides:

getDescriptorForType in class com.google.protobuf.GeneratedMessageV3.Builder<ExplanationMetadata.InputMetadata.Visualization.Builder>

getDefaultInstanceForType

public ExplanationMetadata.InputMetadata.Visualization getDefaultInstanceForType()

Specified by:

getDefaultInstanceForType in interface com.google.protobuf.MessageLiteOrBuilder

Specified by:

getDefaultInstanceForType in interface com.google.protobuf.MessageOrBuilder

build

public ExplanationMetadata.InputMetadata.Visualization build()

Specified by:

build in interface com.google.protobuf.Message.Builder

Specified by:

build in interface com.google.protobuf.MessageLite.Builder

buildPartial

public ExplanationMetadata.InputMetadata.Visualization buildPartial()

Specified by:

buildPartial in interface com.google.protobuf.Message.Builder

Specified by:

buildPartial in interface com.google.protobuf.MessageLite.Builder

clone

public ExplanationMetadata.InputMetadata.Visualization.Builder clone()

Specified by:

clone in interface com.google.protobuf.Message.Builder

Specified by:

clone in interface com.google.protobuf.MessageLite.Builder

Overrides:

clone in class com.google.protobuf.GeneratedMessageV3.Builder<ExplanationMetadata.InputMetadata.Visualization.Builder>

setField

public ExplanationMetadata.InputMetadata.Visualization.Builder setField(com.google.protobuf.Descriptors.FieldDescriptor field,
                                                                        Object value)

Specified by:

setField in interface com.google.protobuf.Message.Builder

Overrides:

setField in class com.google.protobuf.GeneratedMessageV3.Builder<ExplanationMetadata.InputMetadata.Visualization.Builder>

clearField

public ExplanationMetadata.InputMetadata.Visualization.Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field)

Specified by:

clearField in interface com.google.protobuf.Message.Builder

Overrides:

clearField in class com.google.protobuf.GeneratedMessageV3.Builder<ExplanationMetadata.InputMetadata.Visualization.Builder>

clearOneof

public ExplanationMetadata.InputMetadata.Visualization.Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof)

Specified by:

clearOneof in interface com.google.protobuf.Message.Builder

Overrides:

clearOneof in class com.google.protobuf.GeneratedMessageV3.Builder<ExplanationMetadata.InputMetadata.Visualization.Builder>

setRepeatedField

public ExplanationMetadata.InputMetadata.Visualization.Builder setRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor field,
                                                                                int index,
                                                                                Object value)

Specified by:

setRepeatedField in interface com.google.protobuf.Message.Builder

Overrides:

setRepeatedField in class com.google.protobuf.GeneratedMessageV3.Builder<ExplanationMetadata.InputMetadata.Visualization.Builder>

addRepeatedField

public ExplanationMetadata.InputMetadata.Visualization.Builder addRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor field,
                                                                                Object value)

Specified by:

addRepeatedField in interface com.google.protobuf.Message.Builder

Overrides:

addRepeatedField in class com.google.protobuf.GeneratedMessageV3.Builder<ExplanationMetadata.InputMetadata.Visualization.Builder>

mergeFrom

public ExplanationMetadata.InputMetadata.Visualization.Builder mergeFrom(com.google.protobuf.Message other)

Specified by:

mergeFrom in interface com.google.protobuf.Message.Builder

Overrides:

mergeFrom in class com.google.protobuf.AbstractMessage.Builder<ExplanationMetadata.InputMetadata.Visualization.Builder>

mergeFrom

public ExplanationMetadata.InputMetadata.Visualization.Builder mergeFrom(ExplanationMetadata.InputMetadata.Visualization other)

isInitialized

public final boolean isInitialized()

Specified by:

isInitialized in interface com.google.protobuf.MessageLiteOrBuilder

Overrides:

isInitialized in class com.google.protobuf.GeneratedMessageV3.Builder<ExplanationMetadata.InputMetadata.Visualization.Builder>

mergeFrom

public ExplanationMetadata.InputMetadata.Visualization.Builder mergeFrom(com.google.protobuf.CodedInputStream input,
                                                                         com.google.protobuf.ExtensionRegistryLite extensionRegistry)
                                                                  throws IOException

Specified by:

mergeFrom in interface com.google.protobuf.Message.Builder

Specified by:

mergeFrom in interface com.google.protobuf.MessageLite.Builder

Overrides:

mergeFrom in class com.google.protobuf.AbstractMessage.Builder<ExplanationMetadata.InputMetadata.Visualization.Builder>

Throws:

IOException

getTypeValue

public int getTypeValue()

 Type of the image visualization. Only applicable to
 [Integrated Gradients
 attribution][google.cloud.aiplatform.v1beta1.ExplanationParameters.integrated_gradients_attribution].
 OUTLINES shows regions of attribution, while PIXELS shows per-pixel
 attribution. Defaults to OUTLINES.
 

.google.cloud.aiplatform.v1beta1.ExplanationMetadata.InputMetadata.Visualization.Type type = 1;

Specified by:

getTypeValue in interface ExplanationMetadata.InputMetadata.VisualizationOrBuilder

Returns:

The enum numeric value on the wire for type.

setTypeValue

public ExplanationMetadata.InputMetadata.Visualization.Builder setTypeValue(int value)

 Type of the image visualization. Only applicable to
 [Integrated Gradients
 attribution][google.cloud.aiplatform.v1beta1.ExplanationParameters.integrated_gradients_attribution].
 OUTLINES shows regions of attribution, while PIXELS shows per-pixel
 attribution. Defaults to OUTLINES.
 

.google.cloud.aiplatform.v1beta1.ExplanationMetadata.InputMetadata.Visualization.Type type = 1;

Parameters:

value - The enum numeric value on the wire for type to set.

Returns:

This builder for chaining.

getType

public ExplanationMetadata.InputMetadata.Visualization.Type getType()

 Type of the image visualization. Only applicable to
 [Integrated Gradients
 attribution][google.cloud.aiplatform.v1beta1.ExplanationParameters.integrated_gradients_attribution].
 OUTLINES shows regions of attribution, while PIXELS shows per-pixel
 attribution. Defaults to OUTLINES.
 

.google.cloud.aiplatform.v1beta1.ExplanationMetadata.InputMetadata.Visualization.Type type = 1;

Specified by:

getType in interface ExplanationMetadata.InputMetadata.VisualizationOrBuilder

Returns:

The type.

setType

public ExplanationMetadata.InputMetadata.Visualization.Builder setType(ExplanationMetadata.InputMetadata.Visualization.Type value)

 Type of the image visualization. Only applicable to
 [Integrated Gradients
 attribution][google.cloud.aiplatform.v1beta1.ExplanationParameters.integrated_gradients_attribution].
 OUTLINES shows regions of attribution, while PIXELS shows per-pixel
 attribution. Defaults to OUTLINES.
 

.google.cloud.aiplatform.v1beta1.ExplanationMetadata.InputMetadata.Visualization.Type type = 1;

Parameters:

value - The type to set.

Returns:

This builder for chaining.

clearType

public ExplanationMetadata.InputMetadata.Visualization.Builder clearType()

 Type of the image visualization. Only applicable to
 [Integrated Gradients
 attribution][google.cloud.aiplatform.v1beta1.ExplanationParameters.integrated_gradients_attribution].
 OUTLINES shows regions of attribution, while PIXELS shows per-pixel
 attribution. Defaults to OUTLINES.
 

.google.cloud.aiplatform.v1beta1.ExplanationMetadata.InputMetadata.Visualization.Type type = 1;

Returns:

This builder for chaining.

getPolarityValue

public int getPolarityValue()

 Whether to only highlight pixels with positive contributions, negative
 or both. Defaults to POSITIVE.
 

.google.cloud.aiplatform.v1beta1.ExplanationMetadata.InputMetadata.Visualization.Polarity polarity = 2;

Specified by:

getPolarityValue in interface ExplanationMetadata.InputMetadata.VisualizationOrBuilder

Returns:

The enum numeric value on the wire for polarity.

setPolarityValue

public ExplanationMetadata.InputMetadata.Visualization.Builder setPolarityValue(int value)

 Whether to only highlight pixels with positive contributions, negative
 or both. Defaults to POSITIVE.
 

.google.cloud.aiplatform.v1beta1.ExplanationMetadata.InputMetadata.Visualization.Polarity polarity = 2;

Parameters:

value - The enum numeric value on the wire for polarity to set.

Returns:

This builder for chaining.

getPolarity

public ExplanationMetadata.InputMetadata.Visualization.Polarity getPolarity()

 Whether to only highlight pixels with positive contributions, negative
 or both. Defaults to POSITIVE.
 

.google.cloud.aiplatform.v1beta1.ExplanationMetadata.InputMetadata.Visualization.Polarity polarity = 2;

Specified by:

getPolarity in interface ExplanationMetadata.InputMetadata.VisualizationOrBuilder

Returns:

The polarity.

setPolarity

public ExplanationMetadata.InputMetadata.Visualization.Builder setPolarity(ExplanationMetadata.InputMetadata.Visualization.Polarity value)

 Whether to only highlight pixels with positive contributions, negative
 or both. Defaults to POSITIVE.
 

.google.cloud.aiplatform.v1beta1.ExplanationMetadata.InputMetadata.Visualization.Polarity polarity = 2;

Parameters:

value - The polarity to set.

Returns:

This builder for chaining.

clearPolarity

public ExplanationMetadata.InputMetadata.Visualization.Builder clearPolarity()

 Whether to only highlight pixels with positive contributions, negative
 or both. Defaults to POSITIVE.
 

.google.cloud.aiplatform.v1beta1.ExplanationMetadata.InputMetadata.Visualization.Polarity polarity = 2;

Returns:

This builder for chaining.

getColorMapValue

public int getColorMapValue()

 The color scheme used for the highlighted areas.

 Defaults to PINK_GREEN for
 [Integrated Gradients
 attribution][google.cloud.aiplatform.v1beta1.ExplanationParameters.integrated_gradients_attribution],
 which shows positive attributions in green and negative in pink.

 Defaults to VIRIDIS for
 [XRAI
 attribution][google.cloud.aiplatform.v1beta1.ExplanationParameters.xrai_attribution],
 which highlights the most influential regions in yellow and the least
 influential in blue.
 

.google.cloud.aiplatform.v1beta1.ExplanationMetadata.InputMetadata.Visualization.ColorMap color_map = 3;

Specified by:

getColorMapValue in interface ExplanationMetadata.InputMetadata.VisualizationOrBuilder

Returns:

The enum numeric value on the wire for colorMap.

setColorMapValue

public ExplanationMetadata.InputMetadata.Visualization.Builder setColorMapValue(int value)

 The color scheme used for the highlighted areas.

 Defaults to PINK_GREEN for
 [Integrated Gradients
 attribution][google.cloud.aiplatform.v1beta1.ExplanationParameters.integrated_gradients_attribution],
 which shows positive attributions in green and negative in pink.

 Defaults to VIRIDIS for
 [XRAI
 attribution][google.cloud.aiplatform.v1beta1.ExplanationParameters.xrai_attribution],
 which highlights the most influential regions in yellow and the least
 influential in blue.
 

.google.cloud.aiplatform.v1beta1.ExplanationMetadata.InputMetadata.Visualization.ColorMap color_map = 3;

Parameters:

value - The enum numeric value on the wire for colorMap to set.

Returns:

This builder for chaining.

getColorMap

public ExplanationMetadata.InputMetadata.Visualization.ColorMap getColorMap()

 The color scheme used for the highlighted areas.

 Defaults to PINK_GREEN for
 [Integrated Gradients
 attribution][google.cloud.aiplatform.v1beta1.ExplanationParameters.integrated_gradients_attribution],
 which shows positive attributions in green and negative in pink.

 Defaults to VIRIDIS for
 [XRAI
 attribution][google.cloud.aiplatform.v1beta1.ExplanationParameters.xrai_attribution],
 which highlights the most influential regions in yellow and the least
 influential in blue.
 

.google.cloud.aiplatform.v1beta1.ExplanationMetadata.InputMetadata.Visualization.ColorMap color_map = 3;

Specified by:

getColorMap in interface ExplanationMetadata.InputMetadata.VisualizationOrBuilder

Returns:

The colorMap.

setColorMap

public ExplanationMetadata.InputMetadata.Visualization.Builder setColorMap(ExplanationMetadata.InputMetadata.Visualization.ColorMap value)

 The color scheme used for the highlighted areas.

 Defaults to PINK_GREEN for
 [Integrated Gradients
 attribution][google.cloud.aiplatform.v1beta1.ExplanationParameters.integrated_gradients_attribution],
 which shows positive attributions in green and negative in pink.

 Defaults to VIRIDIS for
 [XRAI
 attribution][google.cloud.aiplatform.v1beta1.ExplanationParameters.xrai_attribution],
 which highlights the most influential regions in yellow and the least
 influential in blue.
 

.google.cloud.aiplatform.v1beta1.ExplanationMetadata.InputMetadata.Visualization.ColorMap color_map = 3;

Parameters:

value - The colorMap to set.

Returns:

This builder for chaining.

clearColorMap

public ExplanationMetadata.InputMetadata.Visualization.Builder clearColorMap()

 The color scheme used for the highlighted areas.

 Defaults to PINK_GREEN for
 [Integrated Gradients
 attribution][google.cloud.aiplatform.v1beta1.ExplanationParameters.integrated_gradients_attribution],
 which shows positive attributions in green and negative in pink.

 Defaults to VIRIDIS for
 [XRAI
 attribution][google.cloud.aiplatform.v1beta1.ExplanationParameters.xrai_attribution],
 which highlights the most influential regions in yellow and the least
 influential in blue.
 

.google.cloud.aiplatform.v1beta1.ExplanationMetadata.InputMetadata.Visualization.ColorMap color_map = 3;

Returns:

This builder for chaining.

getClipPercentUpperbound

public float getClipPercentUpperbound()

 Excludes attributions above the specified percentile from the
 highlighted areas. Using the clip_percent_upperbound and
 clip_percent_lowerbound together can be useful for filtering out noise
 and making it easier to see areas of strong attribution. Defaults to
 99.9.
 

float clip_percent_upperbound = 4;

Specified by:

getClipPercentUpperbound in interface ExplanationMetadata.InputMetadata.VisualizationOrBuilder

Returns:

The clipPercentUpperbound.

setClipPercentUpperbound

public ExplanationMetadata.InputMetadata.Visualization.Builder setClipPercentUpperbound(float value)

 Excludes attributions above the specified percentile from the
 highlighted areas. Using the clip_percent_upperbound and
 clip_percent_lowerbound together can be useful for filtering out noise
 and making it easier to see areas of strong attribution. Defaults to
 99.9.
 

float clip_percent_upperbound = 4;

Parameters:

value - The clipPercentUpperbound to set.

Returns:

This builder for chaining.

clearClipPercentUpperbound

public ExplanationMetadata.InputMetadata.Visualization.Builder clearClipPercentUpperbound()

 Excludes attributions above the specified percentile from the
 highlighted areas. Using the clip_percent_upperbound and
 clip_percent_lowerbound together can be useful for filtering out noise
 and making it easier to see areas of strong attribution. Defaults to
 99.9.
 

float clip_percent_upperbound = 4;

Returns:

This builder for chaining.

getClipPercentLowerbound

public float getClipPercentLowerbound()

 Excludes attributions below the specified percentile, from the
 highlighted areas. Defaults to 62.
 

float clip_percent_lowerbound = 5;

Specified by:

getClipPercentLowerbound in interface ExplanationMetadata.InputMetadata.VisualizationOrBuilder

Returns:

The clipPercentLowerbound.

setClipPercentLowerbound

public ExplanationMetadata.InputMetadata.Visualization.Builder setClipPercentLowerbound(float value)

 Excludes attributions below the specified percentile, from the
 highlighted areas. Defaults to 62.
 

float clip_percent_lowerbound = 5;

Parameters:

value - The clipPercentLowerbound to set.

Returns:

This builder for chaining.

clearClipPercentLowerbound

public ExplanationMetadata.InputMetadata.Visualization.Builder clearClipPercentLowerbound()

 Excludes attributions below the specified percentile, from the
 highlighted areas. Defaults to 62.
 

float clip_percent_lowerbound = 5;

Returns:

This builder for chaining.

getOverlayTypeValue

public int getOverlayTypeValue()

 How the original image is displayed in the visualization.
 Adjusting the overlay can help increase visual clarity if the original
 image makes it difficult to view the visualization. Defaults to NONE.
 

.google.cloud.aiplatform.v1beta1.ExplanationMetadata.InputMetadata.Visualization.OverlayType overlay_type = 6;

Specified by:

getOverlayTypeValue in interface ExplanationMetadata.InputMetadata.VisualizationOrBuilder

Returns:

The enum numeric value on the wire for overlayType.

setOverlayTypeValue

public ExplanationMetadata.InputMetadata.Visualization.Builder setOverlayTypeValue(int value)

 How the original image is displayed in the visualization.
 Adjusting the overlay can help increase visual clarity if the original
 image makes it difficult to view the visualization. Defaults to NONE.
 

.google.cloud.aiplatform.v1beta1.ExplanationMetadata.InputMetadata.Visualization.OverlayType overlay_type = 6;

Parameters:

value - The enum numeric value on the wire for overlayType to set.

Returns:

This builder for chaining.

getOverlayType

public ExplanationMetadata.InputMetadata.Visualization.OverlayType getOverlayType()

 How the original image is displayed in the visualization.
 Adjusting the overlay can help increase visual clarity if the original
 image makes it difficult to view the visualization. Defaults to NONE.
 

.google.cloud.aiplatform.v1beta1.ExplanationMetadata.InputMetadata.Visualization.OverlayType overlay_type = 6;

Specified by:

getOverlayType in interface ExplanationMetadata.InputMetadata.VisualizationOrBuilder

Returns:

The overlayType.

setOverlayType

public ExplanationMetadata.InputMetadata.Visualization.Builder setOverlayType(ExplanationMetadata.InputMetadata.Visualization.OverlayType value)

 How the original image is displayed in the visualization.
 Adjusting the overlay can help increase visual clarity if the original
 image makes it difficult to view the visualization. Defaults to NONE.
 

.google.cloud.aiplatform.v1beta1.ExplanationMetadata.InputMetadata.Visualization.OverlayType overlay_type = 6;

Parameters:

value - The overlayType to set.

Returns:

This builder for chaining.

clearOverlayType

public ExplanationMetadata.InputMetadata.Visualization.Builder clearOverlayType()

 How the original image is displayed in the visualization.
 Adjusting the overlay can help increase visual clarity if the original
 image makes it difficult to view the visualization. Defaults to NONE.
 

.google.cloud.aiplatform.v1beta1.ExplanationMetadata.InputMetadata.Visualization.OverlayType overlay_type = 6;

Returns:

This builder for chaining.

setUnknownFields

public final ExplanationMetadata.InputMetadata.Visualization.Builder setUnknownFields(com.google.protobuf.UnknownFieldSet unknownFields)

Specified by:

setUnknownFields in interface com.google.protobuf.Message.Builder

Overrides:

setUnknownFields in class com.google.protobuf.GeneratedMessageV3.Builder<ExplanationMetadata.InputMetadata.Visualization.Builder>

mergeUnknownFields

public final ExplanationMetadata.InputMetadata.Visualization.Builder mergeUnknownFields(com.google.protobuf.UnknownFieldSet unknownFields)

Specified by:

mergeUnknownFields in interface com.google.protobuf.Message.Builder

Overrides:

mergeUnknownFields in class com.google.protobuf.GeneratedMessageV3.Builder<ExplanationMetadata.InputMetadata.Visualization.Builder>