com.google.cloud.aiplatform.v1beta1

Class ExplanationParameters

java.lang.Object

com.google.protobuf.AbstractMessageLite

com.google.protobuf.AbstractMessage

com.google.protobuf.GeneratedMessageV3

com.google.cloud.aiplatform.v1beta1.ExplanationParameters

All Implemented Interfaces:

ExplanationParametersOrBuilder, com.google.protobuf.Message, com.google.protobuf.MessageLite, com.google.protobuf.MessageLiteOrBuilder, com.google.protobuf.MessageOrBuilder, Serializable

public final class ExplanationParameters
extends com.google.protobuf.GeneratedMessageV3
implements ExplanationParametersOrBuilder

 Parameters to configure explaining for Model's predictions.
 

Protobuf type google.cloud.aiplatform.v1beta1.ExplanationParameters

See Also:

Serialized Form

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
static class	ExplanationParameters.Builder Parameters to configure explaining for Model's predictions.
static class	ExplanationParameters.MethodCase

Nested classes/interfaces inherited from class com.google.protobuf.GeneratedMessageV3

com.google.protobuf.GeneratedMessageV3.BuilderParent, com.google.protobuf.GeneratedMessageV3.ExtendableBuilder<MessageT extends com.google.protobuf.GeneratedMessageV3.ExtendableMessage<MessageT>,BuilderT extends com.google.protobuf.GeneratedMessageV3.ExtendableBuilder<MessageT,BuilderT>>, com.google.protobuf.GeneratedMessageV3.ExtendableMessage<MessageT extends com.google.protobuf.GeneratedMessageV3.ExtendableMessage<MessageT>>, com.google.protobuf.GeneratedMessageV3.ExtendableMessageOrBuilder<MessageT extends com.google.protobuf.GeneratedMessageV3.ExtendableMessage<MessageT>>, com.google.protobuf.GeneratedMessageV3.FieldAccessorTable, com.google.protobuf.GeneratedMessageV3.UnusedPrivateParameter

Nested classes/interfaces inherited from class com.google.protobuf.AbstractMessageLite

com.google.protobuf.AbstractMessageLite.InternalOneOfEnum

Field Summary

Fields

Modifier and Type	Field and Description
static int	EXAMPLES_FIELD_NUMBER
static int	INTEGRATED_GRADIENTS_ATTRIBUTION_FIELD_NUMBER
static int	OUTPUT_INDICES_FIELD_NUMBER
static int	SAMPLED_SHAPLEY_ATTRIBUTION_FIELD_NUMBER
static int	TOP_K_FIELD_NUMBER
static int	XRAI_ATTRIBUTION_FIELD_NUMBER

Fields inherited from class com.google.protobuf.GeneratedMessageV3

alwaysUseFieldBuilders, unknownFields

Fields inherited from class com.google.protobuf.AbstractMessage

memoizedSize

Fields inherited from class com.google.protobuf.AbstractMessageLite

memoizedHashCode

Method Summary

Modifier and Type	Method and Description
boolean	equals(Object obj)
static ExplanationParameters	getDefaultInstance()
ExplanationParameters	getDefaultInstanceForType()
static com.google.protobuf.Descriptors.Descriptor	getDescriptor()
Examples	getExamples() Example-based explanations that returns the nearest neighbors from the provided dataset.
ExamplesOrBuilder	getExamplesOrBuilder() Example-based explanations that returns the nearest neighbors from the provided dataset.
IntegratedGradientsAttribution	getIntegratedGradientsAttribution() An attribution method that computes Aumann-Shapley values taking advantage of the model's fully differentiable structure.
IntegratedGradientsAttributionOrBuilder	getIntegratedGradientsAttributionOrBuilder() An attribution method that computes Aumann-Shapley values taking advantage of the model's fully differentiable structure.
ExplanationParameters.MethodCase	getMethodCase()
com.google.protobuf.ListValue	getOutputIndices() If populated, only returns attributions that have [output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index] contained in output_indices.
com.google.protobuf.ListValueOrBuilder	getOutputIndicesOrBuilder() If populated, only returns attributions that have [output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index] contained in output_indices.
com.google.protobuf.Parser<ExplanationParameters>	getParserForType()
SampledShapleyAttribution	getSampledShapleyAttribution() An attribution method that approximates Shapley values for features that contribute to the label being predicted.
SampledShapleyAttributionOrBuilder	getSampledShapleyAttributionOrBuilder() An attribution method that approximates Shapley values for features that contribute to the label being predicted.
int	getSerializedSize()
int	getTopK() If populated, returns attributions for top K indices of outputs (defaults to 1).
XraiAttribution	getXraiAttribution() An attribution method that redistributes Integrated Gradients attribution to segmented regions, taking advantage of the model's fully differentiable structure.
XraiAttributionOrBuilder	getXraiAttributionOrBuilder() An attribution method that redistributes Integrated Gradients attribution to segmented regions, taking advantage of the model's fully differentiable structure.
boolean	hasExamples() Example-based explanations that returns the nearest neighbors from the provided dataset.
int	hashCode()
boolean	hasIntegratedGradientsAttribution() An attribution method that computes Aumann-Shapley values taking advantage of the model's fully differentiable structure.
boolean	hasOutputIndices() If populated, only returns attributions that have [output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index] contained in output_indices.
boolean	hasSampledShapleyAttribution() An attribution method that approximates Shapley values for features that contribute to the label being predicted.
boolean	hasXraiAttribution() An attribution method that redistributes Integrated Gradients attribution to segmented regions, taking advantage of the model's fully differentiable structure.
protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable	internalGetFieldAccessorTable()
boolean	isInitialized()
static ExplanationParameters.Builder	newBuilder()
static ExplanationParameters.Builder	newBuilder(ExplanationParameters prototype)
ExplanationParameters.Builder	newBuilderForType()
protected ExplanationParameters.Builder	newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent)
protected Object	newInstance(com.google.protobuf.GeneratedMessageV3.UnusedPrivateParameter unused)
static ExplanationParameters	parseDelimitedFrom(InputStream input)
static ExplanationParameters	parseDelimitedFrom(InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
static ExplanationParameters	parseFrom(byte[] data)
static ExplanationParameters	parseFrom(byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
static ExplanationParameters	parseFrom(ByteBuffer data)
static ExplanationParameters	parseFrom(ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
static ExplanationParameters	parseFrom(com.google.protobuf.ByteString data)
static ExplanationParameters	parseFrom(com.google.protobuf.ByteString data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
static ExplanationParameters	parseFrom(com.google.protobuf.CodedInputStream input)
static ExplanationParameters	parseFrom(com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
static ExplanationParameters	parseFrom(InputStream input)
static ExplanationParameters	parseFrom(InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
static com.google.protobuf.Parser<ExplanationParameters>	parser()
ExplanationParameters.Builder	toBuilder()
void	writeTo(com.google.protobuf.CodedOutputStream output)

Methods inherited from class com.google.protobuf.GeneratedMessageV3

canUseUnsafe, computeStringSize, computeStringSizeNoTag, emptyBooleanList, emptyDoubleList, emptyFloatList, emptyIntList, emptyList, emptyLongList, getAllFields, getDescriptorForType, getField, getOneofFieldDescriptor, getRepeatedField, getRepeatedFieldCount, getUnknownFields, hasField, hasOneof, internalGetMapField, internalGetMapFieldReflection, isStringEmpty, makeExtensionsImmutable, makeMutableCopy, makeMutableCopy, mergeFromAndMakeImmutableInternal, mutableCopy, mutableCopy, mutableCopy, mutableCopy, mutableCopy, newBooleanList, newBuilderForType, newDoubleList, newFloatList, newIntList, newLongList, parseDelimitedWithIOException, parseDelimitedWithIOException, parseUnknownField, parseUnknownFieldProto3, parseWithIOException, parseWithIOException, parseWithIOException, parseWithIOException, serializeBooleanMapTo, serializeIntegerMapTo, serializeLongMapTo, serializeStringMapTo, writeReplace, writeString, writeStringNoTag

Methods inherited from class com.google.protobuf.AbstractMessage

findInitializationErrors, getInitializationErrorString, hashBoolean, hashEnum, hashEnumList, hashFields, hashLong, toString

Methods inherited from class com.google.protobuf.AbstractMessageLite

addAll, addAll, checkByteStringIsUtf8, toByteArray, toByteString, writeDelimitedTo, writeTo

Methods inherited from class java.lang.Object

clone, finalize, getClass, notify, notifyAll, wait, wait, wait

Methods inherited from interface com.google.protobuf.MessageOrBuilder

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

Methods inherited from interface com.google.protobuf.MessageLite

toByteArray, toByteString, writeDelimitedTo, writeTo

Field Detail

SAMPLED_SHAPLEY_ATTRIBUTION_FIELD_NUMBER

public static final int SAMPLED_SHAPLEY_ATTRIBUTION_FIELD_NUMBER

See Also:

Constant Field Values

INTEGRATED_GRADIENTS_ATTRIBUTION_FIELD_NUMBER

public static final int INTEGRATED_GRADIENTS_ATTRIBUTION_FIELD_NUMBER

See Also:

Constant Field Values

XRAI_ATTRIBUTION_FIELD_NUMBER

public static final int XRAI_ATTRIBUTION_FIELD_NUMBER

See Also:

Constant Field Values

EXAMPLES_FIELD_NUMBER

public static final int EXAMPLES_FIELD_NUMBER

See Also:

Constant Field Values

TOP_K_FIELD_NUMBER

public static final int TOP_K_FIELD_NUMBER

See Also:

Constant Field Values

OUTPUT_INDICES_FIELD_NUMBER

public static final int OUTPUT_INDICES_FIELD_NUMBER

See Also:

Constant Field Values

Method Detail

newInstance

protected Object newInstance(com.google.protobuf.GeneratedMessageV3.UnusedPrivateParameter unused)

Overrides:

newInstance in class com.google.protobuf.GeneratedMessageV3

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

getMethodCase

public ExplanationParameters.MethodCase getMethodCase()

Specified by:

getMethodCase in interface ExplanationParametersOrBuilder

hasSampledShapleyAttribution

public boolean hasSampledShapleyAttribution()

 An attribution method that approximates Shapley values for features that
 contribute to the label being predicted. A sampling strategy is used to
 approximate the value rather than considering all subsets of features.
 Refer to this paper for model details: https://arxiv.org/abs/1306.4265.
 

.google.cloud.aiplatform.v1beta1.SampledShapleyAttribution sampled_shapley_attribution = 1;

Specified by:

hasSampledShapleyAttribution in interface ExplanationParametersOrBuilder

Returns:

Whether the sampledShapleyAttribution field is set.

getSampledShapleyAttribution

public SampledShapleyAttribution getSampledShapleyAttribution()

 An attribution method that approximates Shapley values for features that
 contribute to the label being predicted. A sampling strategy is used to
 approximate the value rather than considering all subsets of features.
 Refer to this paper for model details: https://arxiv.org/abs/1306.4265.
 

.google.cloud.aiplatform.v1beta1.SampledShapleyAttribution sampled_shapley_attribution = 1;

Specified by:

getSampledShapleyAttribution in interface ExplanationParametersOrBuilder

Returns:

The sampledShapleyAttribution.

getSampledShapleyAttributionOrBuilder

public SampledShapleyAttributionOrBuilder getSampledShapleyAttributionOrBuilder()

 An attribution method that approximates Shapley values for features that
 contribute to the label being predicted. A sampling strategy is used to
 approximate the value rather than considering all subsets of features.
 Refer to this paper for model details: https://arxiv.org/abs/1306.4265.
 

.google.cloud.aiplatform.v1beta1.SampledShapleyAttribution sampled_shapley_attribution = 1;

Specified by:

getSampledShapleyAttributionOrBuilder in interface ExplanationParametersOrBuilder

hasIntegratedGradientsAttribution

public boolean hasIntegratedGradientsAttribution()

 An attribution method that computes Aumann-Shapley values taking
 advantage of the model's fully differentiable structure. Refer to this
 paper for more details: https://arxiv.org/abs/1703.01365
 

.google.cloud.aiplatform.v1beta1.IntegratedGradientsAttribution integrated_gradients_attribution = 2;

Specified by:

hasIntegratedGradientsAttribution in interface ExplanationParametersOrBuilder

Returns:

Whether the integratedGradientsAttribution field is set.

getIntegratedGradientsAttribution

public IntegratedGradientsAttribution getIntegratedGradientsAttribution()

 An attribution method that computes Aumann-Shapley values taking
 advantage of the model's fully differentiable structure. Refer to this
 paper for more details: https://arxiv.org/abs/1703.01365
 

.google.cloud.aiplatform.v1beta1.IntegratedGradientsAttribution integrated_gradients_attribution = 2;

Specified by:

getIntegratedGradientsAttribution in interface ExplanationParametersOrBuilder

Returns:

The integratedGradientsAttribution.

getIntegratedGradientsAttributionOrBuilder

public IntegratedGradientsAttributionOrBuilder getIntegratedGradientsAttributionOrBuilder()

 An attribution method that computes Aumann-Shapley values taking
 advantage of the model's fully differentiable structure. Refer to this
 paper for more details: https://arxiv.org/abs/1703.01365
 

.google.cloud.aiplatform.v1beta1.IntegratedGradientsAttribution integrated_gradients_attribution = 2;

Specified by:

getIntegratedGradientsAttributionOrBuilder in interface ExplanationParametersOrBuilder

hasXraiAttribution

public boolean hasXraiAttribution()

 An attribution method that redistributes Integrated Gradients
 attribution to segmented regions, taking advantage of the model's fully
 differentiable structure. Refer to this paper for
 more details: https://arxiv.org/abs/1906.02825

 XRAI currently performs better on natural images, like a picture of a
 house or an animal. If the images are taken in artificial environments,
 like a lab or manufacturing line, or from diagnostic equipment, like
 x-rays or quality-control cameras, use Integrated Gradients instead.
 

.google.cloud.aiplatform.v1beta1.XraiAttribution xrai_attribution = 3;

Specified by:

hasXraiAttribution in interface ExplanationParametersOrBuilder

Returns:

Whether the xraiAttribution field is set.

getXraiAttribution

public XraiAttribution getXraiAttribution()

 An attribution method that redistributes Integrated Gradients
 attribution to segmented regions, taking advantage of the model's fully
 differentiable structure. Refer to this paper for
 more details: https://arxiv.org/abs/1906.02825

 XRAI currently performs better on natural images, like a picture of a
 house or an animal. If the images are taken in artificial environments,
 like a lab or manufacturing line, or from diagnostic equipment, like
 x-rays or quality-control cameras, use Integrated Gradients instead.
 

.google.cloud.aiplatform.v1beta1.XraiAttribution xrai_attribution = 3;

Specified by:

getXraiAttribution in interface ExplanationParametersOrBuilder

Returns:

The xraiAttribution.

getXraiAttributionOrBuilder

public XraiAttributionOrBuilder getXraiAttributionOrBuilder()

 An attribution method that redistributes Integrated Gradients
 attribution to segmented regions, taking advantage of the model's fully
 differentiable structure. Refer to this paper for
 more details: https://arxiv.org/abs/1906.02825

 XRAI currently performs better on natural images, like a picture of a
 house or an animal. If the images are taken in artificial environments,
 like a lab or manufacturing line, or from diagnostic equipment, like
 x-rays or quality-control cameras, use Integrated Gradients instead.
 

.google.cloud.aiplatform.v1beta1.XraiAttribution xrai_attribution = 3;

Specified by:

getXraiAttributionOrBuilder in interface ExplanationParametersOrBuilder

hasExamples

public boolean hasExamples()

 Example-based explanations that returns the nearest neighbors from the
 provided dataset.
 

.google.cloud.aiplatform.v1beta1.Examples examples = 7;

Specified by:

hasExamples in interface ExplanationParametersOrBuilder

Returns:

Whether the examples field is set.

getExamples

public Examples getExamples()

 Example-based explanations that returns the nearest neighbors from the
 provided dataset.
 

.google.cloud.aiplatform.v1beta1.Examples examples = 7;

Specified by:

getExamples in interface ExplanationParametersOrBuilder

Returns:

The examples.

getExamplesOrBuilder

public ExamplesOrBuilder getExamplesOrBuilder()

 Example-based explanations that returns the nearest neighbors from the
 provided dataset.
 

.google.cloud.aiplatform.v1beta1.Examples examples = 7;

Specified by:

getExamplesOrBuilder in interface ExplanationParametersOrBuilder

getTopK

public int getTopK()

 If populated, returns attributions for top K indices of outputs
 (defaults to 1). Only applies to Models that predicts more than one outputs
 (e,g, multi-class Models). When set to -1, returns explanations for all
 outputs.
 

int32 top_k = 4;

Specified by:

getTopK in interface ExplanationParametersOrBuilder

Returns:

The topK.

hasOutputIndices

public boolean hasOutputIndices()

 If populated, only returns attributions that have
 [output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index]
 contained in output_indices. It must be an ndarray of integers, with the
 same shape of the output it's explaining.

 If not populated, returns attributions for
 [top_k][google.cloud.aiplatform.v1beta1.ExplanationParameters.top_k]
 indices of outputs. If neither top_k nor output_indices is populated,
 returns the argmax index of the outputs.

 Only applicable to Models that predict multiple outputs (e,g, multi-class
 Models that predict multiple classes).
 

.google.protobuf.ListValue output_indices = 5;

Specified by:

hasOutputIndices in interface ExplanationParametersOrBuilder

Returns:

Whether the outputIndices field is set.

getOutputIndices

public com.google.protobuf.ListValue getOutputIndices()

 If populated, only returns attributions that have
 [output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index]
 contained in output_indices. It must be an ndarray of integers, with the
 same shape of the output it's explaining.

 If not populated, returns attributions for
 [top_k][google.cloud.aiplatform.v1beta1.ExplanationParameters.top_k]
 indices of outputs. If neither top_k nor output_indices is populated,
 returns the argmax index of the outputs.

 Only applicable to Models that predict multiple outputs (e,g, multi-class
 Models that predict multiple classes).
 

.google.protobuf.ListValue output_indices = 5;

Specified by:

getOutputIndices in interface ExplanationParametersOrBuilder

Returns:

The outputIndices.

getOutputIndicesOrBuilder

public com.google.protobuf.ListValueOrBuilder getOutputIndicesOrBuilder()

 If populated, only returns attributions that have
 [output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index]
 contained in output_indices. It must be an ndarray of integers, with the
 same shape of the output it's explaining.

 If not populated, returns attributions for
 [top_k][google.cloud.aiplatform.v1beta1.ExplanationParameters.top_k]
 indices of outputs. If neither top_k nor output_indices is populated,
 returns the argmax index of the outputs.

 Only applicable to Models that predict multiple outputs (e,g, multi-class
 Models that predict multiple classes).
 

.google.protobuf.ListValue output_indices = 5;

Specified by:

getOutputIndicesOrBuilder in interface ExplanationParametersOrBuilder

isInitialized

public final boolean isInitialized()

Specified by:

isInitialized in interface com.google.protobuf.MessageLiteOrBuilder

Overrides:

isInitialized in class com.google.protobuf.GeneratedMessageV3

writeTo

public void writeTo(com.google.protobuf.CodedOutputStream output)
             throws IOException

Specified by:

writeTo in interface com.google.protobuf.MessageLite

Overrides:

writeTo in class com.google.protobuf.GeneratedMessageV3

Throws:

IOException

getSerializedSize

public int getSerializedSize()

Specified by:

getSerializedSize in interface com.google.protobuf.MessageLite

Overrides:

getSerializedSize in class com.google.protobuf.GeneratedMessageV3

equals

public boolean equals(Object obj)

Specified by:

equals in interface com.google.protobuf.Message

Overrides:

equals in class com.google.protobuf.AbstractMessage

hashCode

public int hashCode()

Specified by:

hashCode in interface com.google.protobuf.Message

Overrides:

hashCode in class com.google.protobuf.AbstractMessage

parseFrom

public static ExplanationParameters parseFrom(ByteBuffer data)
                                       throws com.google.protobuf.InvalidProtocolBufferException

Throws:

com.google.protobuf.InvalidProtocolBufferException

parseFrom

public static ExplanationParameters parseFrom(ByteBuffer data,
                                              com.google.protobuf.ExtensionRegistryLite extensionRegistry)
                                       throws com.google.protobuf.InvalidProtocolBufferException

Throws:

com.google.protobuf.InvalidProtocolBufferException

parseFrom

public static ExplanationParameters parseFrom(com.google.protobuf.ByteString data)
                                       throws com.google.protobuf.InvalidProtocolBufferException

Throws:

com.google.protobuf.InvalidProtocolBufferException

parseFrom

public static ExplanationParameters parseFrom(com.google.protobuf.ByteString data,
                                              com.google.protobuf.ExtensionRegistryLite extensionRegistry)
                                       throws com.google.protobuf.InvalidProtocolBufferException

Throws:

com.google.protobuf.InvalidProtocolBufferException

parseFrom

public static ExplanationParameters parseFrom(byte[] data)
                                       throws com.google.protobuf.InvalidProtocolBufferException

Throws:

com.google.protobuf.InvalidProtocolBufferException

parseFrom

public static ExplanationParameters parseFrom(byte[] data,
                                              com.google.protobuf.ExtensionRegistryLite extensionRegistry)
                                       throws com.google.protobuf.InvalidProtocolBufferException

Throws:

com.google.protobuf.InvalidProtocolBufferException

parseFrom

public static ExplanationParameters parseFrom(InputStream input)
                                       throws IOException

Throws:

IOException

parseFrom

public static ExplanationParameters parseFrom(InputStream input,
                                              com.google.protobuf.ExtensionRegistryLite extensionRegistry)
                                       throws IOException

Throws:

IOException

parseDelimitedFrom

public static ExplanationParameters parseDelimitedFrom(InputStream input)
                                                throws IOException

Throws:

IOException

parseDelimitedFrom

public static ExplanationParameters parseDelimitedFrom(InputStream input,
                                                       com.google.protobuf.ExtensionRegistryLite extensionRegistry)
                                                throws IOException

Throws:

IOException

parseFrom

public static ExplanationParameters parseFrom(com.google.protobuf.CodedInputStream input)
                                       throws IOException

Throws:

IOException

parseFrom

public static ExplanationParameters parseFrom(com.google.protobuf.CodedInputStream input,
                                              com.google.protobuf.ExtensionRegistryLite extensionRegistry)
                                       throws IOException

Throws:

IOException

newBuilderForType

public ExplanationParameters.Builder newBuilderForType()

Specified by:

newBuilderForType in interface com.google.protobuf.Message

Specified by:

newBuilderForType in interface com.google.protobuf.MessageLite

newBuilder

public static ExplanationParameters.Builder newBuilder()

newBuilder

public static ExplanationParameters.Builder newBuilder(ExplanationParameters prototype)

toBuilder

public ExplanationParameters.Builder toBuilder()

Specified by:

toBuilder in interface com.google.protobuf.Message

Specified by:

toBuilder in interface com.google.protobuf.MessageLite

newBuilderForType

protected ExplanationParameters.Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent)

Specified by:

newBuilderForType in class com.google.protobuf.GeneratedMessageV3

getDefaultInstance

public static ExplanationParameters getDefaultInstance()

parser

public static com.google.protobuf.Parser<ExplanationParameters> parser()

getParserForType

public com.google.protobuf.Parser<ExplanationParameters> getParserForType()

Specified by:

getParserForType in interface com.google.protobuf.Message

Specified by:

getParserForType in interface com.google.protobuf.MessageLite

Overrides:

getParserForType in class com.google.protobuf.GeneratedMessageV3

getDefaultInstanceForType

public ExplanationParameters getDefaultInstanceForType()

Specified by:

getDefaultInstanceForType in interface com.google.protobuf.MessageLiteOrBuilder

Specified by:

getDefaultInstanceForType in interface com.google.protobuf.MessageOrBuilder