EvaluatedAnnotation.Builder (proto-google-cloud-aiplatform-v1beta1 0.62.0 API)

java.lang.Object
- com.google.protobuf.AbstractMessageLite.Builder
- - com.google.protobuf.AbstractMessage.Builder<BuilderT>
  - - com.google.protobuf.GeneratedMessageV3.Builder<EvaluatedAnnotation.Builder>
    - - com.google.cloud.aiplatform.v1beta1.EvaluatedAnnotation.Builder

All Implemented Interfaces:: EvaluatedAnnotationOrBuilder, com.google.protobuf.Message.Builder, com.google.protobuf.MessageLite.Builder, com.google.protobuf.MessageLiteOrBuilder, com.google.protobuf.MessageOrBuilder, Cloneable

Enclosing class:: EvaluatedAnnotation

public static final class EvaluatedAnnotation.Builder
extends com.google.protobuf.GeneratedMessageV3.Builder<EvaluatedAnnotation.Builder>
implements EvaluatedAnnotationOrBuilder

 True positive, false positive, or false negative.

 EvaluatedAnnotation is only available under ModelEvaluationSlice with slice
 of `annotationSpec` dimension.

Protobuf type google.cloud.aiplatform.v1beta1.EvaluatedAnnotation

Method Summary

All Methods Static Methods Instance Methods Concrete Methods
Modifier and Type	Method and Description
`EvaluatedAnnotation.Builder`	`addAllErrorAnalysisAnnotations(Iterable<? extends ErrorAnalysisAnnotation> values)` Annotations of model error analysis results.
`EvaluatedAnnotation.Builder`	`addAllExplanations(Iterable<? extends EvaluatedAnnotationExplanation> values)` Explanations of [predictions][google.cloud.aiplatform.v1beta1.EvaluatedAnnotation.predictions].
`EvaluatedAnnotation.Builder`	`addAllGroundTruths(Iterable<? extends com.google.protobuf.Value> values)` Output only.
`EvaluatedAnnotation.Builder`	`addAllPredictions(Iterable<? extends com.google.protobuf.Value> values)` Output only.
`EvaluatedAnnotation.Builder`	`addErrorAnalysisAnnotations(ErrorAnalysisAnnotation.Builder builderForValue)` Annotations of model error analysis results.
`EvaluatedAnnotation.Builder`	`addErrorAnalysisAnnotations(ErrorAnalysisAnnotation value)` Annotations of model error analysis results.
`EvaluatedAnnotation.Builder`	`addErrorAnalysisAnnotations(int index, ErrorAnalysisAnnotation.Builder builderForValue)` Annotations of model error analysis results.
`EvaluatedAnnotation.Builder`	`addErrorAnalysisAnnotations(int index, ErrorAnalysisAnnotation value)` Annotations of model error analysis results.
`ErrorAnalysisAnnotation.Builder`	`addErrorAnalysisAnnotationsBuilder()` Annotations of model error analysis results.
`ErrorAnalysisAnnotation.Builder`	`addErrorAnalysisAnnotationsBuilder(int index)` Annotations of model error analysis results.
`EvaluatedAnnotation.Builder`	`addExplanations(EvaluatedAnnotationExplanation.Builder builderForValue)` Explanations of [predictions][google.cloud.aiplatform.v1beta1.EvaluatedAnnotation.predictions].
`EvaluatedAnnotation.Builder`	`addExplanations(EvaluatedAnnotationExplanation value)` Explanations of [predictions][google.cloud.aiplatform.v1beta1.EvaluatedAnnotation.predictions].
`EvaluatedAnnotation.Builder`	`addExplanations(int index, EvaluatedAnnotationExplanation.Builder builderForValue)` Explanations of [predictions][google.cloud.aiplatform.v1beta1.EvaluatedAnnotation.predictions].
`EvaluatedAnnotation.Builder`	`addExplanations(int index, EvaluatedAnnotationExplanation value)` Explanations of [predictions][google.cloud.aiplatform.v1beta1.EvaluatedAnnotation.predictions].
`EvaluatedAnnotationExplanation.Builder`	`addExplanationsBuilder()` Explanations of [predictions][google.cloud.aiplatform.v1beta1.EvaluatedAnnotation.predictions].
`EvaluatedAnnotationExplanation.Builder`	`addExplanationsBuilder(int index)` Explanations of [predictions][google.cloud.aiplatform.v1beta1.EvaluatedAnnotation.predictions].
`EvaluatedAnnotation.Builder`	`addGroundTruths(int index, com.google.protobuf.Value.Builder builderForValue)` Output only.
`EvaluatedAnnotation.Builder`	`addGroundTruths(int index, com.google.protobuf.Value value)` Output only.
`EvaluatedAnnotation.Builder`	`addGroundTruths(com.google.protobuf.Value.Builder builderForValue)` Output only.
`EvaluatedAnnotation.Builder`	`addGroundTruths(com.google.protobuf.Value value)` Output only.
`com.google.protobuf.Value.Builder`	`addGroundTruthsBuilder()` Output only.
`com.google.protobuf.Value.Builder`	`addGroundTruthsBuilder(int index)` Output only.
`EvaluatedAnnotation.Builder`	`addPredictions(int index, com.google.protobuf.Value.Builder builderForValue)` Output only.
`EvaluatedAnnotation.Builder`	`addPredictions(int index, com.google.protobuf.Value value)` Output only.
`EvaluatedAnnotation.Builder`	`addPredictions(com.google.protobuf.Value.Builder builderForValue)` Output only.
`EvaluatedAnnotation.Builder`	`addPredictions(com.google.protobuf.Value value)` Output only.
`com.google.protobuf.Value.Builder`	`addPredictionsBuilder()` Output only.
`com.google.protobuf.Value.Builder`	`addPredictionsBuilder(int index)` Output only.
`EvaluatedAnnotation.Builder`	`addRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor field, Object value)`
`EvaluatedAnnotation`	`build()`
`EvaluatedAnnotation`	`buildPartial()`
`EvaluatedAnnotation.Builder`	`clear()`
`EvaluatedAnnotation.Builder`	`clearDataItemPayload()` Output only.
`EvaluatedAnnotation.Builder`	`clearErrorAnalysisAnnotations()` Annotations of model error analysis results.
`EvaluatedAnnotation.Builder`	`clearEvaluatedDataItemViewId()` Output only.
`EvaluatedAnnotation.Builder`	`clearExplanations()` Explanations of [predictions][google.cloud.aiplatform.v1beta1.EvaluatedAnnotation.predictions].
`EvaluatedAnnotation.Builder`	`clearField(com.google.protobuf.Descriptors.FieldDescriptor field)`
`EvaluatedAnnotation.Builder`	`clearGroundTruths()` Output only.
`EvaluatedAnnotation.Builder`	`clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof)`
`EvaluatedAnnotation.Builder`	`clearPredictions()` Output only.
`EvaluatedAnnotation.Builder`	`clearType()` Output only.
`EvaluatedAnnotation.Builder`	`clone()`
`com.google.protobuf.Value`	`getDataItemPayload()` Output only.
`com.google.protobuf.Value.Builder`	`getDataItemPayloadBuilder()` Output only.
`com.google.protobuf.ValueOrBuilder`	`getDataItemPayloadOrBuilder()` Output only.
`EvaluatedAnnotation`	`getDefaultInstanceForType()`
`static com.google.protobuf.Descriptors.Descriptor`	`getDescriptor()`
`com.google.protobuf.Descriptors.Descriptor`	`getDescriptorForType()`
`ErrorAnalysisAnnotation`	`getErrorAnalysisAnnotations(int index)` Annotations of model error analysis results.
`ErrorAnalysisAnnotation.Builder`	`getErrorAnalysisAnnotationsBuilder(int index)` Annotations of model error analysis results.
`List<ErrorAnalysisAnnotation.Builder>`	`getErrorAnalysisAnnotationsBuilderList()` Annotations of model error analysis results.
`int`	`getErrorAnalysisAnnotationsCount()` Annotations of model error analysis results.
`List<ErrorAnalysisAnnotation>`	`getErrorAnalysisAnnotationsList()` Annotations of model error analysis results.
`ErrorAnalysisAnnotationOrBuilder`	`getErrorAnalysisAnnotationsOrBuilder(int index)` Annotations of model error analysis results.
`List<? extends ErrorAnalysisAnnotationOrBuilder>`	`getErrorAnalysisAnnotationsOrBuilderList()` Annotations of model error analysis results.
`String`	`getEvaluatedDataItemViewId()` Output only.
`com.google.protobuf.ByteString`	`getEvaluatedDataItemViewIdBytes()` Output only.
`EvaluatedAnnotationExplanation`	`getExplanations(int index)` Explanations of [predictions][google.cloud.aiplatform.v1beta1.EvaluatedAnnotation.predictions].
`EvaluatedAnnotationExplanation.Builder`	`getExplanationsBuilder(int index)` Explanations of [predictions][google.cloud.aiplatform.v1beta1.EvaluatedAnnotation.predictions].
`List<EvaluatedAnnotationExplanation.Builder>`	`getExplanationsBuilderList()` Explanations of [predictions][google.cloud.aiplatform.v1beta1.EvaluatedAnnotation.predictions].
`int`	`getExplanationsCount()` Explanations of [predictions][google.cloud.aiplatform.v1beta1.EvaluatedAnnotation.predictions].
`List<EvaluatedAnnotationExplanation>`	`getExplanationsList()` Explanations of [predictions][google.cloud.aiplatform.v1beta1.EvaluatedAnnotation.predictions].
`EvaluatedAnnotationExplanationOrBuilder`	`getExplanationsOrBuilder(int index)` Explanations of [predictions][google.cloud.aiplatform.v1beta1.EvaluatedAnnotation.predictions].
`List<? extends EvaluatedAnnotationExplanationOrBuilder>`	`getExplanationsOrBuilderList()` Explanations of [predictions][google.cloud.aiplatform.v1beta1.EvaluatedAnnotation.predictions].
`com.google.protobuf.Value`	`getGroundTruths(int index)` Output only.
`com.google.protobuf.Value.Builder`	`getGroundTruthsBuilder(int index)` Output only.
`List<com.google.protobuf.Value.Builder>`	`getGroundTruthsBuilderList()` Output only.
`int`	`getGroundTruthsCount()` Output only.
`List<com.google.protobuf.Value>`	`getGroundTruthsList()` Output only.
`com.google.protobuf.ValueOrBuilder`	`getGroundTruthsOrBuilder(int index)` Output only.
`List<? extends com.google.protobuf.ValueOrBuilder>`	`getGroundTruthsOrBuilderList()` Output only.
`com.google.protobuf.Value`	`getPredictions(int index)` Output only.
`com.google.protobuf.Value.Builder`	`getPredictionsBuilder(int index)` Output only.
`List<com.google.protobuf.Value.Builder>`	`getPredictionsBuilderList()` Output only.
`int`	`getPredictionsCount()` Output only.
`List<com.google.protobuf.Value>`	`getPredictionsList()` Output only.
`com.google.protobuf.ValueOrBuilder`	`getPredictionsOrBuilder(int index)` Output only.
`List<? extends com.google.protobuf.ValueOrBuilder>`	`getPredictionsOrBuilderList()` Output only.
`EvaluatedAnnotation.EvaluatedAnnotationType`	`getType()` Output only.
`int`	`getTypeValue()` Output only.
`boolean`	`hasDataItemPayload()` Output only.
`protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable`	`internalGetFieldAccessorTable()`
`boolean`	`isInitialized()`
`EvaluatedAnnotation.Builder`	`mergeDataItemPayload(com.google.protobuf.Value value)` Output only.
`EvaluatedAnnotation.Builder`	`mergeFrom(com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)`
`EvaluatedAnnotation.Builder`	`mergeFrom(EvaluatedAnnotation other)`
`EvaluatedAnnotation.Builder`	`mergeFrom(com.google.protobuf.Message other)`
`EvaluatedAnnotation.Builder`	`mergeUnknownFields(com.google.protobuf.UnknownFieldSet unknownFields)`
`EvaluatedAnnotation.Builder`	`removeErrorAnalysisAnnotations(int index)` Annotations of model error analysis results.
`EvaluatedAnnotation.Builder`	`removeExplanations(int index)` Explanations of [predictions][google.cloud.aiplatform.v1beta1.EvaluatedAnnotation.predictions].
`EvaluatedAnnotation.Builder`	`removeGroundTruths(int index)` Output only.
`EvaluatedAnnotation.Builder`	`removePredictions(int index)` Output only.
`EvaluatedAnnotation.Builder`	`setDataItemPayload(com.google.protobuf.Value.Builder builderForValue)` Output only.
`EvaluatedAnnotation.Builder`	`setDataItemPayload(com.google.protobuf.Value value)` Output only.
`EvaluatedAnnotation.Builder`	`setErrorAnalysisAnnotations(int index, ErrorAnalysisAnnotation.Builder builderForValue)` Annotations of model error analysis results.
`EvaluatedAnnotation.Builder`	`setErrorAnalysisAnnotations(int index, ErrorAnalysisAnnotation value)` Annotations of model error analysis results.
`EvaluatedAnnotation.Builder`	`setEvaluatedDataItemViewId(String value)` Output only.
`EvaluatedAnnotation.Builder`	`setEvaluatedDataItemViewIdBytes(com.google.protobuf.ByteString value)` Output only.
`EvaluatedAnnotation.Builder`	`setExplanations(int index, EvaluatedAnnotationExplanation.Builder builderForValue)` Explanations of [predictions][google.cloud.aiplatform.v1beta1.EvaluatedAnnotation.predictions].
`EvaluatedAnnotation.Builder`	`setExplanations(int index, EvaluatedAnnotationExplanation value)` Explanations of [predictions][google.cloud.aiplatform.v1beta1.EvaluatedAnnotation.predictions].
`EvaluatedAnnotation.Builder`	`setField(com.google.protobuf.Descriptors.FieldDescriptor field, Object value)`
`EvaluatedAnnotation.Builder`	`setGroundTruths(int index, com.google.protobuf.Value.Builder builderForValue)` Output only.
`EvaluatedAnnotation.Builder`	`setGroundTruths(int index, com.google.protobuf.Value value)` Output only.
`EvaluatedAnnotation.Builder`	`setPredictions(int index, com.google.protobuf.Value.Builder builderForValue)` Output only.
`EvaluatedAnnotation.Builder`	`setPredictions(int index, com.google.protobuf.Value value)` Output only.
`EvaluatedAnnotation.Builder`	`setRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor field, int index, Object value)`
`EvaluatedAnnotation.Builder`	`setType(EvaluatedAnnotation.EvaluatedAnnotationType value)` Output only.
`EvaluatedAnnotation.Builder`	`setTypeValue(int value)` Output only.
`EvaluatedAnnotation.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<EvaluatedAnnotation.Builder>

clear
```
public EvaluatedAnnotation.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<EvaluatedAnnotation.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<EvaluatedAnnotation.Builder>

getDefaultInstanceForType
```
public EvaluatedAnnotation getDefaultInstanceForType()
```
Specified by:

getDefaultInstanceForType in interface com.google.protobuf.MessageLiteOrBuilder

Specified by:

getDefaultInstanceForType in interface com.google.protobuf.MessageOrBuilder

build
```
public EvaluatedAnnotation build()
```
Specified by:

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

Specified by:

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

buildPartial
```
public EvaluatedAnnotation buildPartial()
```
Specified by:

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

Specified by:

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

clone
```
public EvaluatedAnnotation.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<EvaluatedAnnotation.Builder>

setField

public EvaluatedAnnotation.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<EvaluatedAnnotation.Builder>

clearField
```
public EvaluatedAnnotation.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<EvaluatedAnnotation.Builder>

clearOneof
```
public EvaluatedAnnotation.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<EvaluatedAnnotation.Builder>

setRepeatedField

public EvaluatedAnnotation.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<EvaluatedAnnotation.Builder>

addRepeatedField

public EvaluatedAnnotation.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<EvaluatedAnnotation.Builder>

mergeFrom
```
public EvaluatedAnnotation.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<EvaluatedAnnotation.Builder>

mergeFrom

public EvaluatedAnnotation.Builder mergeFrom(EvaluatedAnnotation other)

isInitialized
```
public final boolean isInitialized()
```
Specified by:

isInitialized in interface com.google.protobuf.MessageLiteOrBuilder

Overrides:

isInitialized in class com.google.protobuf.GeneratedMessageV3.Builder<EvaluatedAnnotation.Builder>

mergeFrom
```
public EvaluatedAnnotation.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<EvaluatedAnnotation.Builder>

Throws:

IOException

getTypeValue
```
public int getTypeValue()
```
```
 Output only. Type of the EvaluatedAnnotation.
 
```
.google.cloud.aiplatform.v1beta1.EvaluatedAnnotation.EvaluatedAnnotationType type = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];
Specified by:

getTypeValue in interface EvaluatedAnnotationOrBuilder

Returns:

The enum numeric value on the wire for type.

setTypeValue
```
public EvaluatedAnnotation.Builder setTypeValue(int value)
```
```
 Output only. Type of the EvaluatedAnnotation.
 
```
.google.cloud.aiplatform.v1beta1.EvaluatedAnnotation.EvaluatedAnnotationType type = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];
Parameters:

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

Returns:

This builder for chaining.

getType
```
public EvaluatedAnnotation.EvaluatedAnnotationType getType()
```
```
 Output only. Type of the EvaluatedAnnotation.
 
```
.google.cloud.aiplatform.v1beta1.EvaluatedAnnotation.EvaluatedAnnotationType type = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];
Specified by:

getType in interface EvaluatedAnnotationOrBuilder

Returns:

The type.

setType
```
public EvaluatedAnnotation.Builder setType(EvaluatedAnnotation.EvaluatedAnnotationType value)
```
```
 Output only. Type of the EvaluatedAnnotation.
 
```
.google.cloud.aiplatform.v1beta1.EvaluatedAnnotation.EvaluatedAnnotationType type = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];
Parameters:

value - The type to set.

Returns:

This builder for chaining.

clearType
```
public EvaluatedAnnotation.Builder clearType()
```
```
 Output only. Type of the EvaluatedAnnotation.
 
```
.google.cloud.aiplatform.v1beta1.EvaluatedAnnotation.EvaluatedAnnotationType type = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];
Returns:

This builder for chaining.

getPredictionsList

public List<com.google.protobuf.Value> getPredictionsList()

 Output only. The model predicted annotations.

 For true positive, there is one and only one prediction, which matches the
 only one ground truth annotation in
 [ground_truths][google.cloud.aiplatform.v1beta1.EvaluatedAnnotation.ground_truths].

 For false positive, there is one and only one prediction, which doesn't
 match any ground truth annotation of the corresponding
 [data_item_view_id][EvaluatedAnnotation.data_item_view_id].

 For false negative, there are zero or more predictions which are similar to
 the only ground truth annotation in
 [ground_truths][google.cloud.aiplatform.v1beta1.EvaluatedAnnotation.ground_truths]
 but not enough for a match.

 The schema of the prediction is stored in
 [ModelEvaluation.annotation_schema_uri][]


 repeated .google.protobuf.Value predictions = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];

Specified by:: getPredictionsList in interface EvaluatedAnnotationOrBuilder

getPredictionsCount

public int getPredictionsCount()

 Output only. The model predicted annotations.

 For true positive, there is one and only one prediction, which matches the
 only one ground truth annotation in
 [ground_truths][google.cloud.aiplatform.v1beta1.EvaluatedAnnotation.ground_truths].

 For false positive, there is one and only one prediction, which doesn't
 match any ground truth annotation of the corresponding
 [data_item_view_id][EvaluatedAnnotation.data_item_view_id].

 For false negative, there are zero or more predictions which are similar to
 the only ground truth annotation in
 [ground_truths][google.cloud.aiplatform.v1beta1.EvaluatedAnnotation.ground_truths]
 but not enough for a match.

 The schema of the prediction is stored in
 [ModelEvaluation.annotation_schema_uri][]


 repeated .google.protobuf.Value predictions = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];

Specified by:: getPredictionsCount in interface EvaluatedAnnotationOrBuilder

getPredictions

public com.google.protobuf.Value getPredictions(int index)

 Output only. The model predicted annotations.

 For true positive, there is one and only one prediction, which matches the
 only one ground truth annotation in
 [ground_truths][google.cloud.aiplatform.v1beta1.EvaluatedAnnotation.ground_truths].

 For false positive, there is one and only one prediction, which doesn't
 match any ground truth annotation of the corresponding
 [data_item_view_id][EvaluatedAnnotation.data_item_view_id].

 For false negative, there are zero or more predictions which are similar to
 the only ground truth annotation in
 [ground_truths][google.cloud.aiplatform.v1beta1.EvaluatedAnnotation.ground_truths]
 but not enough for a match.

 The schema of the prediction is stored in
 [ModelEvaluation.annotation_schema_uri][]


 repeated .google.protobuf.Value predictions = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];

Specified by:: getPredictions in interface EvaluatedAnnotationOrBuilder

setPredictions

public EvaluatedAnnotation.Builder setPredictions(int index,
                                                  com.google.protobuf.Value value)

 Output only. The model predicted annotations.

 For true positive, there is one and only one prediction, which matches the
 only one ground truth annotation in
 [ground_truths][google.cloud.aiplatform.v1beta1.EvaluatedAnnotation.ground_truths].

 For false positive, there is one and only one prediction, which doesn't
 match any ground truth annotation of the corresponding
 [data_item_view_id][EvaluatedAnnotation.data_item_view_id].

 For false negative, there are zero or more predictions which are similar to
 the only ground truth annotation in
 [ground_truths][google.cloud.aiplatform.v1beta1.EvaluatedAnnotation.ground_truths]
 but not enough for a match.

 The schema of the prediction is stored in
 [ModelEvaluation.annotation_schema_uri][]


 repeated .google.protobuf.Value predictions = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];

setPredictions

public EvaluatedAnnotation.Builder setPredictions(int index,
                                                  com.google.protobuf.Value.Builder builderForValue)

 Output only. The model predicted annotations.

 For true positive, there is one and only one prediction, which matches the
 only one ground truth annotation in
 [ground_truths][google.cloud.aiplatform.v1beta1.EvaluatedAnnotation.ground_truths].

 For false positive, there is one and only one prediction, which doesn't
 match any ground truth annotation of the corresponding
 [data_item_view_id][EvaluatedAnnotation.data_item_view_id].

 For false negative, there are zero or more predictions which are similar to
 the only ground truth annotation in
 [ground_truths][google.cloud.aiplatform.v1beta1.EvaluatedAnnotation.ground_truths]
 but not enough for a match.

 The schema of the prediction is stored in
 [ModelEvaluation.annotation_schema_uri][]


 repeated .google.protobuf.Value predictions = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];

addPredictions

public EvaluatedAnnotation.Builder addPredictions(com.google.protobuf.Value value)

 Output only. The model predicted annotations.

 For true positive, there is one and only one prediction, which matches the
 only one ground truth annotation in
 [ground_truths][google.cloud.aiplatform.v1beta1.EvaluatedAnnotation.ground_truths].

 For false positive, there is one and only one prediction, which doesn't
 match any ground truth annotation of the corresponding
 [data_item_view_id][EvaluatedAnnotation.data_item_view_id].

 For false negative, there are zero or more predictions which are similar to
 the only ground truth annotation in
 [ground_truths][google.cloud.aiplatform.v1beta1.EvaluatedAnnotation.ground_truths]
 but not enough for a match.

 The schema of the prediction is stored in
 [ModelEvaluation.annotation_schema_uri][]


 repeated .google.protobuf.Value predictions = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];

addPredictions

public EvaluatedAnnotation.Builder addPredictions(int index,
                                                  com.google.protobuf.Value value)

 Output only. The model predicted annotations.

 For true positive, there is one and only one prediction, which matches the
 only one ground truth annotation in
 [ground_truths][google.cloud.aiplatform.v1beta1.EvaluatedAnnotation.ground_truths].

 For false positive, there is one and only one prediction, which doesn't
 match any ground truth annotation of the corresponding
 [data_item_view_id][EvaluatedAnnotation.data_item_view_id].

 For false negative, there are zero or more predictions which are similar to
 the only ground truth annotation in
 [ground_truths][google.cloud.aiplatform.v1beta1.EvaluatedAnnotation.ground_truths]
 but not enough for a match.

 The schema of the prediction is stored in
 [ModelEvaluation.annotation_schema_uri][]


 repeated .google.protobuf.Value predictions = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];

addPredictions

public EvaluatedAnnotation.Builder addPredictions(com.google.protobuf.Value.Builder builderForValue)

 Output only. The model predicted annotations.

 For true positive, there is one and only one prediction, which matches the
 only one ground truth annotation in
 [ground_truths][google.cloud.aiplatform.v1beta1.EvaluatedAnnotation.ground_truths].

 For false positive, there is one and only one prediction, which doesn't
 match any ground truth annotation of the corresponding
 [data_item_view_id][EvaluatedAnnotation.data_item_view_id].

 For false negative, there are zero or more predictions which are similar to
 the only ground truth annotation in
 [ground_truths][google.cloud.aiplatform.v1beta1.EvaluatedAnnotation.ground_truths]
 but not enough for a match.

 The schema of the prediction is stored in
 [ModelEvaluation.annotation_schema_uri][]


 repeated .google.protobuf.Value predictions = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];

addPredictions

public EvaluatedAnnotation.Builder addPredictions(int index,
                                                  com.google.protobuf.Value.Builder builderForValue)

 Output only. The model predicted annotations.

 For true positive, there is one and only one prediction, which matches the
 only one ground truth annotation in
 [ground_truths][google.cloud.aiplatform.v1beta1.EvaluatedAnnotation.ground_truths].

 For false positive, there is one and only one prediction, which doesn't
 match any ground truth annotation of the corresponding
 [data_item_view_id][EvaluatedAnnotation.data_item_view_id].

 For false negative, there are zero or more predictions which are similar to
 the only ground truth annotation in
 [ground_truths][google.cloud.aiplatform.v1beta1.EvaluatedAnnotation.ground_truths]
 but not enough for a match.

 The schema of the prediction is stored in
 [ModelEvaluation.annotation_schema_uri][]


 repeated .google.protobuf.Value predictions = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];

addAllPredictions

public EvaluatedAnnotation.Builder addAllPredictions(Iterable<? extends com.google.protobuf.Value> values)

 Output only. The model predicted annotations.

 For true positive, there is one and only one prediction, which matches the
 only one ground truth annotation in
 [ground_truths][google.cloud.aiplatform.v1beta1.EvaluatedAnnotation.ground_truths].

 For false positive, there is one and only one prediction, which doesn't
 match any ground truth annotation of the corresponding
 [data_item_view_id][EvaluatedAnnotation.data_item_view_id].

 For false negative, there are zero or more predictions which are similar to
 the only ground truth annotation in
 [ground_truths][google.cloud.aiplatform.v1beta1.EvaluatedAnnotation.ground_truths]
 but not enough for a match.

 The schema of the prediction is stored in
 [ModelEvaluation.annotation_schema_uri][]


 repeated .google.protobuf.Value predictions = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];

clearPredictions

public EvaluatedAnnotation.Builder clearPredictions()

 Output only. The model predicted annotations.

 For true positive, there is one and only one prediction, which matches the
 only one ground truth annotation in
 [ground_truths][google.cloud.aiplatform.v1beta1.EvaluatedAnnotation.ground_truths].

 For false positive, there is one and only one prediction, which doesn't
 match any ground truth annotation of the corresponding
 [data_item_view_id][EvaluatedAnnotation.data_item_view_id].

 For false negative, there are zero or more predictions which are similar to
 the only ground truth annotation in
 [ground_truths][google.cloud.aiplatform.v1beta1.EvaluatedAnnotation.ground_truths]
 but not enough for a match.

 The schema of the prediction is stored in
 [ModelEvaluation.annotation_schema_uri][]


 repeated .google.protobuf.Value predictions = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];

removePredictions

public EvaluatedAnnotation.Builder removePredictions(int index)

 Output only. The model predicted annotations.

 For true positive, there is one and only one prediction, which matches the
 only one ground truth annotation in
 [ground_truths][google.cloud.aiplatform.v1beta1.EvaluatedAnnotation.ground_truths].

 For false positive, there is one and only one prediction, which doesn't
 match any ground truth annotation of the corresponding
 [data_item_view_id][EvaluatedAnnotation.data_item_view_id].

 For false negative, there are zero or more predictions which are similar to
 the only ground truth annotation in
 [ground_truths][google.cloud.aiplatform.v1beta1.EvaluatedAnnotation.ground_truths]
 but not enough for a match.

 The schema of the prediction is stored in
 [ModelEvaluation.annotation_schema_uri][]


 repeated .google.protobuf.Value predictions = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];

getPredictionsBuilder

public com.google.protobuf.Value.Builder getPredictionsBuilder(int index)

 Output only. The model predicted annotations.

 For true positive, there is one and only one prediction, which matches the
 only one ground truth annotation in
 [ground_truths][google.cloud.aiplatform.v1beta1.EvaluatedAnnotation.ground_truths].

 For false positive, there is one and only one prediction, which doesn't
 match any ground truth annotation of the corresponding
 [data_item_view_id][EvaluatedAnnotation.data_item_view_id].

 For false negative, there are zero or more predictions which are similar to
 the only ground truth annotation in
 [ground_truths][google.cloud.aiplatform.v1beta1.EvaluatedAnnotation.ground_truths]
 but not enough for a match.

 The schema of the prediction is stored in
 [ModelEvaluation.annotation_schema_uri][]


 repeated .google.protobuf.Value predictions = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];

getPredictionsOrBuilder

public com.google.protobuf.ValueOrBuilder getPredictionsOrBuilder(int index)

 Output only. The model predicted annotations.

 For true positive, there is one and only one prediction, which matches the
 only one ground truth annotation in
 [ground_truths][google.cloud.aiplatform.v1beta1.EvaluatedAnnotation.ground_truths].

 For false positive, there is one and only one prediction, which doesn't
 match any ground truth annotation of the corresponding
 [data_item_view_id][EvaluatedAnnotation.data_item_view_id].

 For false negative, there are zero or more predictions which are similar to
 the only ground truth annotation in
 [ground_truths][google.cloud.aiplatform.v1beta1.EvaluatedAnnotation.ground_truths]
 but not enough for a match.

 The schema of the prediction is stored in
 [ModelEvaluation.annotation_schema_uri][]


 repeated .google.protobuf.Value predictions = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];

Specified by:: getPredictionsOrBuilder in interface EvaluatedAnnotationOrBuilder

getPredictionsOrBuilderList

public List<? extends com.google.protobuf.ValueOrBuilder> getPredictionsOrBuilderList()

 Output only. The model predicted annotations.

 For true positive, there is one and only one prediction, which matches the
 only one ground truth annotation in
 [ground_truths][google.cloud.aiplatform.v1beta1.EvaluatedAnnotation.ground_truths].

 For false positive, there is one and only one prediction, which doesn't
 match any ground truth annotation of the corresponding
 [data_item_view_id][EvaluatedAnnotation.data_item_view_id].

 For false negative, there are zero or more predictions which are similar to
 the only ground truth annotation in
 [ground_truths][google.cloud.aiplatform.v1beta1.EvaluatedAnnotation.ground_truths]
 but not enough for a match.

 The schema of the prediction is stored in
 [ModelEvaluation.annotation_schema_uri][]


 repeated .google.protobuf.Value predictions = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];

Specified by:: getPredictionsOrBuilderList in interface EvaluatedAnnotationOrBuilder

addPredictionsBuilder

public com.google.protobuf.Value.Builder addPredictionsBuilder()

 Output only. The model predicted annotations.

 For true positive, there is one and only one prediction, which matches the
 only one ground truth annotation in
 [ground_truths][google.cloud.aiplatform.v1beta1.EvaluatedAnnotation.ground_truths].

 For false positive, there is one and only one prediction, which doesn't
 match any ground truth annotation of the corresponding
 [data_item_view_id][EvaluatedAnnotation.data_item_view_id].

 For false negative, there are zero or more predictions which are similar to
 the only ground truth annotation in
 [ground_truths][google.cloud.aiplatform.v1beta1.EvaluatedAnnotation.ground_truths]
 but not enough for a match.

 The schema of the prediction is stored in
 [ModelEvaluation.annotation_schema_uri][]


 repeated .google.protobuf.Value predictions = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];

addPredictionsBuilder

public com.google.protobuf.Value.Builder addPredictionsBuilder(int index)

 Output only. The model predicted annotations.

 For true positive, there is one and only one prediction, which matches the
 only one ground truth annotation in
 [ground_truths][google.cloud.aiplatform.v1beta1.EvaluatedAnnotation.ground_truths].

 For false positive, there is one and only one prediction, which doesn't
 match any ground truth annotation of the corresponding
 [data_item_view_id][EvaluatedAnnotation.data_item_view_id].

 For false negative, there are zero or more predictions which are similar to
 the only ground truth annotation in
 [ground_truths][google.cloud.aiplatform.v1beta1.EvaluatedAnnotation.ground_truths]
 but not enough for a match.

 The schema of the prediction is stored in
 [ModelEvaluation.annotation_schema_uri][]


 repeated .google.protobuf.Value predictions = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];

getPredictionsBuilderList

public List<com.google.protobuf.Value.Builder> getPredictionsBuilderList()

 Output only. The model predicted annotations.

 For true positive, there is one and only one prediction, which matches the
 only one ground truth annotation in
 [ground_truths][google.cloud.aiplatform.v1beta1.EvaluatedAnnotation.ground_truths].

 For false positive, there is one and only one prediction, which doesn't
 match any ground truth annotation of the corresponding
 [data_item_view_id][EvaluatedAnnotation.data_item_view_id].

 For false negative, there are zero or more predictions which are similar to
 the only ground truth annotation in
 [ground_truths][google.cloud.aiplatform.v1beta1.EvaluatedAnnotation.ground_truths]
 but not enough for a match.

 The schema of the prediction is stored in
 [ModelEvaluation.annotation_schema_uri][]


 repeated .google.protobuf.Value predictions = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];

getGroundTruthsList

public List<com.google.protobuf.Value> getGroundTruthsList()

 Output only. The ground truth Annotations, i.e. the Annotations that exist
 in the test data the Model is evaluated on.

 For true positive, there is one and only one ground truth annotation, which
 matches the only prediction in
 [predictions][google.cloud.aiplatform.v1beta1.EvaluatedAnnotation.predictions].

 For false positive, there are zero or more ground truth annotations that
 are similar to the only prediction in
 [predictions][google.cloud.aiplatform.v1beta1.EvaluatedAnnotation.predictions],
 but not enough for a match.

 For false negative, there is one and only one ground truth annotation,
 which doesn't match any predictions created by the model.

 The schema of the ground truth is stored in
 [ModelEvaluation.annotation_schema_uri][]


 repeated .google.protobuf.Value ground_truths = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];

Specified by:: getGroundTruthsList in interface EvaluatedAnnotationOrBuilder

getGroundTruthsCount

public int getGroundTruthsCount()

 Output only. The ground truth Annotations, i.e. the Annotations that exist
 in the test data the Model is evaluated on.

 For true positive, there is one and only one ground truth annotation, which
 matches the only prediction in
 [predictions][google.cloud.aiplatform.v1beta1.EvaluatedAnnotation.predictions].

 For false positive, there are zero or more ground truth annotations that
 are similar to the only prediction in
 [predictions][google.cloud.aiplatform.v1beta1.EvaluatedAnnotation.predictions],
 but not enough for a match.

 For false negative, there is one and only one ground truth annotation,
 which doesn't match any predictions created by the model.

 The schema of the ground truth is stored in
 [ModelEvaluation.annotation_schema_uri][]


 repeated .google.protobuf.Value ground_truths = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];

Specified by:: getGroundTruthsCount in interface EvaluatedAnnotationOrBuilder

getGroundTruths

public com.google.protobuf.Value getGroundTruths(int index)

 Output only. The ground truth Annotations, i.e. the Annotations that exist
 in the test data the Model is evaluated on.

 For true positive, there is one and only one ground truth annotation, which
 matches the only prediction in
 [predictions][google.cloud.aiplatform.v1beta1.EvaluatedAnnotation.predictions].

 For false positive, there are zero or more ground truth annotations that
 are similar to the only prediction in
 [predictions][google.cloud.aiplatform.v1beta1.EvaluatedAnnotation.predictions],
 but not enough for a match.

 For false negative, there is one and only one ground truth annotation,
 which doesn't match any predictions created by the model.

 The schema of the ground truth is stored in
 [ModelEvaluation.annotation_schema_uri][]


 repeated .google.protobuf.Value ground_truths = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];

Specified by:: getGroundTruths in interface EvaluatedAnnotationOrBuilder

setGroundTruths

public EvaluatedAnnotation.Builder setGroundTruths(int index,
                                                   com.google.protobuf.Value value)

 Output only. The ground truth Annotations, i.e. the Annotations that exist
 in the test data the Model is evaluated on.

 For true positive, there is one and only one ground truth annotation, which
 matches the only prediction in
 [predictions][google.cloud.aiplatform.v1beta1.EvaluatedAnnotation.predictions].

 For false positive, there are zero or more ground truth annotations that
 are similar to the only prediction in
 [predictions][google.cloud.aiplatform.v1beta1.EvaluatedAnnotation.predictions],
 but not enough for a match.

 For false negative, there is one and only one ground truth annotation,
 which doesn't match any predictions created by the model.

 The schema of the ground truth is stored in
 [ModelEvaluation.annotation_schema_uri][]


 repeated .google.protobuf.Value ground_truths = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];

setGroundTruths

public EvaluatedAnnotation.Builder setGroundTruths(int index,
                                                   com.google.protobuf.Value.Builder builderForValue)

 Output only. The ground truth Annotations, i.e. the Annotations that exist
 in the test data the Model is evaluated on.

 For true positive, there is one and only one ground truth annotation, which
 matches the only prediction in
 [predictions][google.cloud.aiplatform.v1beta1.EvaluatedAnnotation.predictions].

 For false positive, there are zero or more ground truth annotations that
 are similar to the only prediction in
 [predictions][google.cloud.aiplatform.v1beta1.EvaluatedAnnotation.predictions],
 but not enough for a match.

 For false negative, there is one and only one ground truth annotation,
 which doesn't match any predictions created by the model.

 The schema of the ground truth is stored in
 [ModelEvaluation.annotation_schema_uri][]


 repeated .google.protobuf.Value ground_truths = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];

addGroundTruths

public EvaluatedAnnotation.Builder addGroundTruths(com.google.protobuf.Value value)

 Output only. The ground truth Annotations, i.e. the Annotations that exist
 in the test data the Model is evaluated on.

 For true positive, there is one and only one ground truth annotation, which
 matches the only prediction in
 [predictions][google.cloud.aiplatform.v1beta1.EvaluatedAnnotation.predictions].

 For false positive, there are zero or more ground truth annotations that
 are similar to the only prediction in
 [predictions][google.cloud.aiplatform.v1beta1.EvaluatedAnnotation.predictions],
 but not enough for a match.

 For false negative, there is one and only one ground truth annotation,
 which doesn't match any predictions created by the model.

 The schema of the ground truth is stored in
 [ModelEvaluation.annotation_schema_uri][]


 repeated .google.protobuf.Value ground_truths = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];

addGroundTruths

public EvaluatedAnnotation.Builder addGroundTruths(int index,
                                                   com.google.protobuf.Value value)

 Output only. The ground truth Annotations, i.e. the Annotations that exist
 in the test data the Model is evaluated on.

 For true positive, there is one and only one ground truth annotation, which
 matches the only prediction in
 [predictions][google.cloud.aiplatform.v1beta1.EvaluatedAnnotation.predictions].

 For false positive, there are zero or more ground truth annotations that
 are similar to the only prediction in
 [predictions][google.cloud.aiplatform.v1beta1.EvaluatedAnnotation.predictions],
 but not enough for a match.

 For false negative, there is one and only one ground truth annotation,
 which doesn't match any predictions created by the model.

 The schema of the ground truth is stored in
 [ModelEvaluation.annotation_schema_uri][]


 repeated .google.protobuf.Value ground_truths = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];

addGroundTruths

public EvaluatedAnnotation.Builder addGroundTruths(com.google.protobuf.Value.Builder builderForValue)

 Output only. The ground truth Annotations, i.e. the Annotations that exist
 in the test data the Model is evaluated on.

 For true positive, there is one and only one ground truth annotation, which
 matches the only prediction in
 [predictions][google.cloud.aiplatform.v1beta1.EvaluatedAnnotation.predictions].

 For false positive, there are zero or more ground truth annotations that
 are similar to the only prediction in
 [predictions][google.cloud.aiplatform.v1beta1.EvaluatedAnnotation.predictions],
 but not enough for a match.

 For false negative, there is one and only one ground truth annotation,
 which doesn't match any predictions created by the model.

 The schema of the ground truth is stored in
 [ModelEvaluation.annotation_schema_uri][]


 repeated .google.protobuf.Value ground_truths = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];

addGroundTruths

public EvaluatedAnnotation.Builder addGroundTruths(int index,
                                                   com.google.protobuf.Value.Builder builderForValue)

 Output only. The ground truth Annotations, i.e. the Annotations that exist
 in the test data the Model is evaluated on.

 For true positive, there is one and only one ground truth annotation, which
 matches the only prediction in
 [predictions][google.cloud.aiplatform.v1beta1.EvaluatedAnnotation.predictions].

 For false positive, there are zero or more ground truth annotations that
 are similar to the only prediction in
 [predictions][google.cloud.aiplatform.v1beta1.EvaluatedAnnotation.predictions],
 but not enough for a match.

 For false negative, there is one and only one ground truth annotation,
 which doesn't match any predictions created by the model.

 The schema of the ground truth is stored in
 [ModelEvaluation.annotation_schema_uri][]


 repeated .google.protobuf.Value ground_truths = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];

addAllGroundTruths

public EvaluatedAnnotation.Builder addAllGroundTruths(Iterable<? extends com.google.protobuf.Value> values)

 Output only. The ground truth Annotations, i.e. the Annotations that exist
 in the test data the Model is evaluated on.

 For true positive, there is one and only one ground truth annotation, which
 matches the only prediction in
 [predictions][google.cloud.aiplatform.v1beta1.EvaluatedAnnotation.predictions].

 For false positive, there are zero or more ground truth annotations that
 are similar to the only prediction in
 [predictions][google.cloud.aiplatform.v1beta1.EvaluatedAnnotation.predictions],
 but not enough for a match.

 For false negative, there is one and only one ground truth annotation,
 which doesn't match any predictions created by the model.

 The schema of the ground truth is stored in
 [ModelEvaluation.annotation_schema_uri][]


 repeated .google.protobuf.Value ground_truths = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];

clearGroundTruths

public EvaluatedAnnotation.Builder clearGroundTruths()

 Output only. The ground truth Annotations, i.e. the Annotations that exist
 in the test data the Model is evaluated on.

 For true positive, there is one and only one ground truth annotation, which
 matches the only prediction in
 [predictions][google.cloud.aiplatform.v1beta1.EvaluatedAnnotation.predictions].

 For false positive, there are zero or more ground truth annotations that
 are similar to the only prediction in
 [predictions][google.cloud.aiplatform.v1beta1.EvaluatedAnnotation.predictions],
 but not enough for a match.

 For false negative, there is one and only one ground truth annotation,
 which doesn't match any predictions created by the model.

 The schema of the ground truth is stored in
 [ModelEvaluation.annotation_schema_uri][]


 repeated .google.protobuf.Value ground_truths = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];

removeGroundTruths

public EvaluatedAnnotation.Builder removeGroundTruths(int index)

 Output only. The ground truth Annotations, i.e. the Annotations that exist
 in the test data the Model is evaluated on.

 For true positive, there is one and only one ground truth annotation, which
 matches the only prediction in
 [predictions][google.cloud.aiplatform.v1beta1.EvaluatedAnnotation.predictions].

 For false positive, there are zero or more ground truth annotations that
 are similar to the only prediction in
 [predictions][google.cloud.aiplatform.v1beta1.EvaluatedAnnotation.predictions],
 but not enough for a match.

 For false negative, there is one and only one ground truth annotation,
 which doesn't match any predictions created by the model.

 The schema of the ground truth is stored in
 [ModelEvaluation.annotation_schema_uri][]


 repeated .google.protobuf.Value ground_truths = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];

getGroundTruthsBuilder

public com.google.protobuf.Value.Builder getGroundTruthsBuilder(int index)

 Output only. The ground truth Annotations, i.e. the Annotations that exist
 in the test data the Model is evaluated on.

 For true positive, there is one and only one ground truth annotation, which
 matches the only prediction in
 [predictions][google.cloud.aiplatform.v1beta1.EvaluatedAnnotation.predictions].

 For false positive, there are zero or more ground truth annotations that
 are similar to the only prediction in
 [predictions][google.cloud.aiplatform.v1beta1.EvaluatedAnnotation.predictions],
 but not enough for a match.

 For false negative, there is one and only one ground truth annotation,
 which doesn't match any predictions created by the model.

 The schema of the ground truth is stored in
 [ModelEvaluation.annotation_schema_uri][]


 repeated .google.protobuf.Value ground_truths = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];

getGroundTruthsOrBuilder

public com.google.protobuf.ValueOrBuilder getGroundTruthsOrBuilder(int index)

 Output only. The ground truth Annotations, i.e. the Annotations that exist
 in the test data the Model is evaluated on.

 For true positive, there is one and only one ground truth annotation, which
 matches the only prediction in
 [predictions][google.cloud.aiplatform.v1beta1.EvaluatedAnnotation.predictions].

 For false positive, there are zero or more ground truth annotations that
 are similar to the only prediction in
 [predictions][google.cloud.aiplatform.v1beta1.EvaluatedAnnotation.predictions],
 but not enough for a match.

 For false negative, there is one and only one ground truth annotation,
 which doesn't match any predictions created by the model.

 The schema of the ground truth is stored in
 [ModelEvaluation.annotation_schema_uri][]


 repeated .google.protobuf.Value ground_truths = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];

Specified by:: getGroundTruthsOrBuilder in interface EvaluatedAnnotationOrBuilder

getGroundTruthsOrBuilderList

public List<? extends com.google.protobuf.ValueOrBuilder> getGroundTruthsOrBuilderList()

 Output only. The ground truth Annotations, i.e. the Annotations that exist
 in the test data the Model is evaluated on.

 For true positive, there is one and only one ground truth annotation, which
 matches the only prediction in
 [predictions][google.cloud.aiplatform.v1beta1.EvaluatedAnnotation.predictions].

 For false positive, there are zero or more ground truth annotations that
 are similar to the only prediction in
 [predictions][google.cloud.aiplatform.v1beta1.EvaluatedAnnotation.predictions],
 but not enough for a match.

 For false negative, there is one and only one ground truth annotation,
 which doesn't match any predictions created by the model.

 The schema of the ground truth is stored in
 [ModelEvaluation.annotation_schema_uri][]


 repeated .google.protobuf.Value ground_truths = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];

Specified by:: getGroundTruthsOrBuilderList in interface EvaluatedAnnotationOrBuilder

addGroundTruthsBuilder

public com.google.protobuf.Value.Builder addGroundTruthsBuilder()

 Output only. The ground truth Annotations, i.e. the Annotations that exist
 in the test data the Model is evaluated on.

 For true positive, there is one and only one ground truth annotation, which
 matches the only prediction in
 [predictions][google.cloud.aiplatform.v1beta1.EvaluatedAnnotation.predictions].

 For false positive, there are zero or more ground truth annotations that
 are similar to the only prediction in
 [predictions][google.cloud.aiplatform.v1beta1.EvaluatedAnnotation.predictions],
 but not enough for a match.

 For false negative, there is one and only one ground truth annotation,
 which doesn't match any predictions created by the model.

 The schema of the ground truth is stored in
 [ModelEvaluation.annotation_schema_uri][]


 repeated .google.protobuf.Value ground_truths = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];

addGroundTruthsBuilder

public com.google.protobuf.Value.Builder addGroundTruthsBuilder(int index)

 Output only. The ground truth Annotations, i.e. the Annotations that exist
 in the test data the Model is evaluated on.

 For true positive, there is one and only one ground truth annotation, which
 matches the only prediction in
 [predictions][google.cloud.aiplatform.v1beta1.EvaluatedAnnotation.predictions].

 For false positive, there are zero or more ground truth annotations that
 are similar to the only prediction in
 [predictions][google.cloud.aiplatform.v1beta1.EvaluatedAnnotation.predictions],
 but not enough for a match.

 For false negative, there is one and only one ground truth annotation,
 which doesn't match any predictions created by the model.

 The schema of the ground truth is stored in
 [ModelEvaluation.annotation_schema_uri][]


 repeated .google.protobuf.Value ground_truths = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];

getGroundTruthsBuilderList

public List<com.google.protobuf.Value.Builder> getGroundTruthsBuilderList()

 Output only. The ground truth Annotations, i.e. the Annotations that exist
 in the test data the Model is evaluated on.

 For true positive, there is one and only one ground truth annotation, which
 matches the only prediction in
 [predictions][google.cloud.aiplatform.v1beta1.EvaluatedAnnotation.predictions].

 For false positive, there are zero or more ground truth annotations that
 are similar to the only prediction in
 [predictions][google.cloud.aiplatform.v1beta1.EvaluatedAnnotation.predictions],
 but not enough for a match.

 For false negative, there is one and only one ground truth annotation,
 which doesn't match any predictions created by the model.

 The schema of the ground truth is stored in
 [ModelEvaluation.annotation_schema_uri][]


 repeated .google.protobuf.Value ground_truths = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];

hasDataItemPayload
```
public boolean hasDataItemPayload()
```
```
 Output only. The data item payload that the Model predicted this
 EvaluatedAnnotation on.
 
```
.google.protobuf.Value data_item_payload = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];
Specified by:

hasDataItemPayload in interface EvaluatedAnnotationOrBuilder

Returns:

Whether the dataItemPayload field is set.

getDataItemPayload
```
public com.google.protobuf.Value getDataItemPayload()
```
```
 Output only. The data item payload that the Model predicted this
 EvaluatedAnnotation on.
 
```
.google.protobuf.Value data_item_payload = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];
Specified by:

getDataItemPayload in interface EvaluatedAnnotationOrBuilder

Returns:

The dataItemPayload.

setDataItemPayload

public EvaluatedAnnotation.Builder setDataItemPayload(com.google.protobuf.Value value)

 Output only. The data item payload that the Model predicted this
 EvaluatedAnnotation on.


 .google.protobuf.Value data_item_payload = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];

setDataItemPayload

public EvaluatedAnnotation.Builder setDataItemPayload(com.google.protobuf.Value.Builder builderForValue)

 Output only. The data item payload that the Model predicted this
 EvaluatedAnnotation on.


 .google.protobuf.Value data_item_payload = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];

mergeDataItemPayload

public EvaluatedAnnotation.Builder mergeDataItemPayload(com.google.protobuf.Value value)

 Output only. The data item payload that the Model predicted this
 EvaluatedAnnotation on.


 .google.protobuf.Value data_item_payload = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];

clearDataItemPayload

public EvaluatedAnnotation.Builder clearDataItemPayload()

 Output only. The data item payload that the Model predicted this
 EvaluatedAnnotation on.


 .google.protobuf.Value data_item_payload = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];

getDataItemPayloadBuilder

public com.google.protobuf.Value.Builder getDataItemPayloadBuilder()

 Output only. The data item payload that the Model predicted this
 EvaluatedAnnotation on.


 .google.protobuf.Value data_item_payload = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];

getDataItemPayloadOrBuilder
```
public com.google.protobuf.ValueOrBuilder getDataItemPayloadOrBuilder()
```
```
 Output only. The data item payload that the Model predicted this
 EvaluatedAnnotation on.
 
```
.google.protobuf.Value data_item_payload = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];
Specified by:

getDataItemPayloadOrBuilder in interface EvaluatedAnnotationOrBuilder

getEvaluatedDataItemViewId

public String getEvaluatedDataItemViewId()

 Output only. ID of the EvaluatedDataItemView under the same ancestor
 ModelEvaluation. The EvaluatedDataItemView consists of all ground truths
 and predictions on
 [data_item_payload][google.cloud.aiplatform.v1beta1.EvaluatedAnnotation.data_item_payload].

string evaluated_data_item_view_id = 6 [(.google.api.field_behavior) = OUTPUT_ONLY];

Specified by:: getEvaluatedDataItemViewId in interface EvaluatedAnnotationOrBuilder
Returns:: The evaluatedDataItemViewId.

getEvaluatedDataItemViewIdBytes

public com.google.protobuf.ByteString getEvaluatedDataItemViewIdBytes()

 Output only. ID of the EvaluatedDataItemView under the same ancestor
 ModelEvaluation. The EvaluatedDataItemView consists of all ground truths
 and predictions on
 [data_item_payload][google.cloud.aiplatform.v1beta1.EvaluatedAnnotation.data_item_payload].

string evaluated_data_item_view_id = 6 [(.google.api.field_behavior) = OUTPUT_ONLY];

Specified by:: getEvaluatedDataItemViewIdBytes in interface EvaluatedAnnotationOrBuilder
Returns:: The bytes for evaluatedDataItemViewId.

setEvaluatedDataItemViewId

public EvaluatedAnnotation.Builder setEvaluatedDataItemViewId(String value)

 Output only. ID of the EvaluatedDataItemView under the same ancestor
 ModelEvaluation. The EvaluatedDataItemView consists of all ground truths
 and predictions on
 [data_item_payload][google.cloud.aiplatform.v1beta1.EvaluatedAnnotation.data_item_payload].

string evaluated_data_item_view_id = 6 [(.google.api.field_behavior) = OUTPUT_ONLY];

Parameters:: value - The evaluatedDataItemViewId to set.
Returns:: This builder for chaining.

clearEvaluatedDataItemViewId

public EvaluatedAnnotation.Builder clearEvaluatedDataItemViewId()

 Output only. ID of the EvaluatedDataItemView under the same ancestor
 ModelEvaluation. The EvaluatedDataItemView consists of all ground truths
 and predictions on
 [data_item_payload][google.cloud.aiplatform.v1beta1.EvaluatedAnnotation.data_item_payload].

string evaluated_data_item_view_id = 6 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns:: This builder for chaining.

setEvaluatedDataItemViewIdBytes

public EvaluatedAnnotation.Builder setEvaluatedDataItemViewIdBytes(com.google.protobuf.ByteString value)

 Output only. ID of the EvaluatedDataItemView under the same ancestor
 ModelEvaluation. The EvaluatedDataItemView consists of all ground truths
 and predictions on
 [data_item_payload][google.cloud.aiplatform.v1beta1.EvaluatedAnnotation.data_item_payload].

string evaluated_data_item_view_id = 6 [(.google.api.field_behavior) = OUTPUT_ONLY];

Parameters:: value - The bytes for evaluatedDataItemViewId to set.
Returns:: This builder for chaining.

getExplanationsList

public List<EvaluatedAnnotationExplanation> getExplanationsList()

 Explanations of
 [predictions][google.cloud.aiplatform.v1beta1.EvaluatedAnnotation.predictions].
 Each element of the explanations indicates the explanation for one
 explanation Method.

 The attributions list in the
 [EvaluatedAnnotationExplanation.explanation][google.cloud.aiplatform.v1beta1.EvaluatedAnnotationExplanation.explanation]
 object corresponds to the
 [predictions][google.cloud.aiplatform.v1beta1.EvaluatedAnnotation.predictions]
 list. For example, the second element in the attributions list explains the
 second element in the predictions list.


 repeated .google.cloud.aiplatform.v1beta1.EvaluatedAnnotationExplanation explanations = 8;

Specified by:: getExplanationsList in interface EvaluatedAnnotationOrBuilder

getExplanationsCount

public int getExplanationsCount()

 Explanations of
 [predictions][google.cloud.aiplatform.v1beta1.EvaluatedAnnotation.predictions].
 Each element of the explanations indicates the explanation for one
 explanation Method.

 The attributions list in the
 [EvaluatedAnnotationExplanation.explanation][google.cloud.aiplatform.v1beta1.EvaluatedAnnotationExplanation.explanation]
 object corresponds to the
 [predictions][google.cloud.aiplatform.v1beta1.EvaluatedAnnotation.predictions]
 list. For example, the second element in the attributions list explains the
 second element in the predictions list.


 repeated .google.cloud.aiplatform.v1beta1.EvaluatedAnnotationExplanation explanations = 8;

Specified by:: getExplanationsCount in interface EvaluatedAnnotationOrBuilder

getExplanations

public EvaluatedAnnotationExplanation getExplanations(int index)

 Explanations of
 [predictions][google.cloud.aiplatform.v1beta1.EvaluatedAnnotation.predictions].
 Each element of the explanations indicates the explanation for one
 explanation Method.

 The attributions list in the
 [EvaluatedAnnotationExplanation.explanation][google.cloud.aiplatform.v1beta1.EvaluatedAnnotationExplanation.explanation]
 object corresponds to the
 [predictions][google.cloud.aiplatform.v1beta1.EvaluatedAnnotation.predictions]
 list. For example, the second element in the attributions list explains the
 second element in the predictions list.


 repeated .google.cloud.aiplatform.v1beta1.EvaluatedAnnotationExplanation explanations = 8;

Specified by:: getExplanations in interface EvaluatedAnnotationOrBuilder

setExplanations

public EvaluatedAnnotation.Builder setExplanations(int index,
                                                   EvaluatedAnnotationExplanation value)

 Explanations of
 [predictions][google.cloud.aiplatform.v1beta1.EvaluatedAnnotation.predictions].
 Each element of the explanations indicates the explanation for one
 explanation Method.

 The attributions list in the
 [EvaluatedAnnotationExplanation.explanation][google.cloud.aiplatform.v1beta1.EvaluatedAnnotationExplanation.explanation]
 object corresponds to the
 [predictions][google.cloud.aiplatform.v1beta1.EvaluatedAnnotation.predictions]
 list. For example, the second element in the attributions list explains the
 second element in the predictions list.


 repeated .google.cloud.aiplatform.v1beta1.EvaluatedAnnotationExplanation explanations = 8;

setExplanations

public EvaluatedAnnotation.Builder setExplanations(int index,
                                                   EvaluatedAnnotationExplanation.Builder builderForValue)

 Explanations of
 [predictions][google.cloud.aiplatform.v1beta1.EvaluatedAnnotation.predictions].
 Each element of the explanations indicates the explanation for one
 explanation Method.

 The attributions list in the
 [EvaluatedAnnotationExplanation.explanation][google.cloud.aiplatform.v1beta1.EvaluatedAnnotationExplanation.explanation]
 object corresponds to the
 [predictions][google.cloud.aiplatform.v1beta1.EvaluatedAnnotation.predictions]
 list. For example, the second element in the attributions list explains the
 second element in the predictions list.


 repeated .google.cloud.aiplatform.v1beta1.EvaluatedAnnotationExplanation explanations = 8;

addExplanations

public EvaluatedAnnotation.Builder addExplanations(EvaluatedAnnotationExplanation value)

 Explanations of
 [predictions][google.cloud.aiplatform.v1beta1.EvaluatedAnnotation.predictions].
 Each element of the explanations indicates the explanation for one
 explanation Method.

 The attributions list in the
 [EvaluatedAnnotationExplanation.explanation][google.cloud.aiplatform.v1beta1.EvaluatedAnnotationExplanation.explanation]
 object corresponds to the
 [predictions][google.cloud.aiplatform.v1beta1.EvaluatedAnnotation.predictions]
 list. For example, the second element in the attributions list explains the
 second element in the predictions list.


 repeated .google.cloud.aiplatform.v1beta1.EvaluatedAnnotationExplanation explanations = 8;

addExplanations

public EvaluatedAnnotation.Builder addExplanations(int index,
                                                   EvaluatedAnnotationExplanation value)

 Explanations of
 [predictions][google.cloud.aiplatform.v1beta1.EvaluatedAnnotation.predictions].
 Each element of the explanations indicates the explanation for one
 explanation Method.

 The attributions list in the
 [EvaluatedAnnotationExplanation.explanation][google.cloud.aiplatform.v1beta1.EvaluatedAnnotationExplanation.explanation]
 object corresponds to the
 [predictions][google.cloud.aiplatform.v1beta1.EvaluatedAnnotation.predictions]
 list. For example, the second element in the attributions list explains the
 second element in the predictions list.


 repeated .google.cloud.aiplatform.v1beta1.EvaluatedAnnotationExplanation explanations = 8;

addExplanations

public EvaluatedAnnotation.Builder addExplanations(EvaluatedAnnotationExplanation.Builder builderForValue)

 Explanations of
 [predictions][google.cloud.aiplatform.v1beta1.EvaluatedAnnotation.predictions].
 Each element of the explanations indicates the explanation for one
 explanation Method.

 The attributions list in the
 [EvaluatedAnnotationExplanation.explanation][google.cloud.aiplatform.v1beta1.EvaluatedAnnotationExplanation.explanation]
 object corresponds to the
 [predictions][google.cloud.aiplatform.v1beta1.EvaluatedAnnotation.predictions]
 list. For example, the second element in the attributions list explains the
 second element in the predictions list.


 repeated .google.cloud.aiplatform.v1beta1.EvaluatedAnnotationExplanation explanations = 8;

addExplanations

public EvaluatedAnnotation.Builder addExplanations(int index,
                                                   EvaluatedAnnotationExplanation.Builder builderForValue)

 Explanations of
 [predictions][google.cloud.aiplatform.v1beta1.EvaluatedAnnotation.predictions].
 Each element of the explanations indicates the explanation for one
 explanation Method.

 The attributions list in the
 [EvaluatedAnnotationExplanation.explanation][google.cloud.aiplatform.v1beta1.EvaluatedAnnotationExplanation.explanation]
 object corresponds to the
 [predictions][google.cloud.aiplatform.v1beta1.EvaluatedAnnotation.predictions]
 list. For example, the second element in the attributions list explains the
 second element in the predictions list.


 repeated .google.cloud.aiplatform.v1beta1.EvaluatedAnnotationExplanation explanations = 8;

addAllExplanations

public EvaluatedAnnotation.Builder addAllExplanations(Iterable<? extends EvaluatedAnnotationExplanation> values)

 Explanations of
 [predictions][google.cloud.aiplatform.v1beta1.EvaluatedAnnotation.predictions].
 Each element of the explanations indicates the explanation for one
 explanation Method.

 The attributions list in the
 [EvaluatedAnnotationExplanation.explanation][google.cloud.aiplatform.v1beta1.EvaluatedAnnotationExplanation.explanation]
 object corresponds to the
 [predictions][google.cloud.aiplatform.v1beta1.EvaluatedAnnotation.predictions]
 list. For example, the second element in the attributions list explains the
 second element in the predictions list.


 repeated .google.cloud.aiplatform.v1beta1.EvaluatedAnnotationExplanation explanations = 8;

clearExplanations

public EvaluatedAnnotation.Builder clearExplanations()

 Explanations of
 [predictions][google.cloud.aiplatform.v1beta1.EvaluatedAnnotation.predictions].
 Each element of the explanations indicates the explanation for one
 explanation Method.

 The attributions list in the
 [EvaluatedAnnotationExplanation.explanation][google.cloud.aiplatform.v1beta1.EvaluatedAnnotationExplanation.explanation]
 object corresponds to the
 [predictions][google.cloud.aiplatform.v1beta1.EvaluatedAnnotation.predictions]
 list. For example, the second element in the attributions list explains the
 second element in the predictions list.


 repeated .google.cloud.aiplatform.v1beta1.EvaluatedAnnotationExplanation explanations = 8;

removeExplanations

public EvaluatedAnnotation.Builder removeExplanations(int index)

 Explanations of
 [predictions][google.cloud.aiplatform.v1beta1.EvaluatedAnnotation.predictions].
 Each element of the explanations indicates the explanation for one
 explanation Method.

 The attributions list in the
 [EvaluatedAnnotationExplanation.explanation][google.cloud.aiplatform.v1beta1.EvaluatedAnnotationExplanation.explanation]
 object corresponds to the
 [predictions][google.cloud.aiplatform.v1beta1.EvaluatedAnnotation.predictions]
 list. For example, the second element in the attributions list explains the
 second element in the predictions list.


 repeated .google.cloud.aiplatform.v1beta1.EvaluatedAnnotationExplanation explanations = 8;

getExplanationsBuilder

public EvaluatedAnnotationExplanation.Builder getExplanationsBuilder(int index)

 Explanations of
 [predictions][google.cloud.aiplatform.v1beta1.EvaluatedAnnotation.predictions].
 Each element of the explanations indicates the explanation for one
 explanation Method.

 The attributions list in the
 [EvaluatedAnnotationExplanation.explanation][google.cloud.aiplatform.v1beta1.EvaluatedAnnotationExplanation.explanation]
 object corresponds to the
 [predictions][google.cloud.aiplatform.v1beta1.EvaluatedAnnotation.predictions]
 list. For example, the second element in the attributions list explains the
 second element in the predictions list.


 repeated .google.cloud.aiplatform.v1beta1.EvaluatedAnnotationExplanation explanations = 8;

getExplanationsOrBuilder

public EvaluatedAnnotationExplanationOrBuilder getExplanationsOrBuilder(int index)

 Explanations of
 [predictions][google.cloud.aiplatform.v1beta1.EvaluatedAnnotation.predictions].
 Each element of the explanations indicates the explanation for one
 explanation Method.

 The attributions list in the
 [EvaluatedAnnotationExplanation.explanation][google.cloud.aiplatform.v1beta1.EvaluatedAnnotationExplanation.explanation]
 object corresponds to the
 [predictions][google.cloud.aiplatform.v1beta1.EvaluatedAnnotation.predictions]
 list. For example, the second element in the attributions list explains the
 second element in the predictions list.


 repeated .google.cloud.aiplatform.v1beta1.EvaluatedAnnotationExplanation explanations = 8;

Specified by:: getExplanationsOrBuilder in interface EvaluatedAnnotationOrBuilder

getExplanationsOrBuilderList

public List<? extends EvaluatedAnnotationExplanationOrBuilder> getExplanationsOrBuilderList()

 Explanations of
 [predictions][google.cloud.aiplatform.v1beta1.EvaluatedAnnotation.predictions].
 Each element of the explanations indicates the explanation for one
 explanation Method.

 The attributions list in the
 [EvaluatedAnnotationExplanation.explanation][google.cloud.aiplatform.v1beta1.EvaluatedAnnotationExplanation.explanation]
 object corresponds to the
 [predictions][google.cloud.aiplatform.v1beta1.EvaluatedAnnotation.predictions]
 list. For example, the second element in the attributions list explains the
 second element in the predictions list.


 repeated .google.cloud.aiplatform.v1beta1.EvaluatedAnnotationExplanation explanations = 8;

Specified by:: getExplanationsOrBuilderList in interface EvaluatedAnnotationOrBuilder

addExplanationsBuilder

public EvaluatedAnnotationExplanation.Builder addExplanationsBuilder()

 Explanations of
 [predictions][google.cloud.aiplatform.v1beta1.EvaluatedAnnotation.predictions].
 Each element of the explanations indicates the explanation for one
 explanation Method.

 The attributions list in the
 [EvaluatedAnnotationExplanation.explanation][google.cloud.aiplatform.v1beta1.EvaluatedAnnotationExplanation.explanation]
 object corresponds to the
 [predictions][google.cloud.aiplatform.v1beta1.EvaluatedAnnotation.predictions]
 list. For example, the second element in the attributions list explains the
 second element in the predictions list.


 repeated .google.cloud.aiplatform.v1beta1.EvaluatedAnnotationExplanation explanations = 8;

addExplanationsBuilder

public EvaluatedAnnotationExplanation.Builder addExplanationsBuilder(int index)

 Explanations of
 [predictions][google.cloud.aiplatform.v1beta1.EvaluatedAnnotation.predictions].
 Each element of the explanations indicates the explanation for one
 explanation Method.

 The attributions list in the
 [EvaluatedAnnotationExplanation.explanation][google.cloud.aiplatform.v1beta1.EvaluatedAnnotationExplanation.explanation]
 object corresponds to the
 [predictions][google.cloud.aiplatform.v1beta1.EvaluatedAnnotation.predictions]
 list. For example, the second element in the attributions list explains the
 second element in the predictions list.


 repeated .google.cloud.aiplatform.v1beta1.EvaluatedAnnotationExplanation explanations = 8;

getExplanationsBuilderList

public List<EvaluatedAnnotationExplanation.Builder> getExplanationsBuilderList()

 Explanations of
 [predictions][google.cloud.aiplatform.v1beta1.EvaluatedAnnotation.predictions].
 Each element of the explanations indicates the explanation for one
 explanation Method.

 The attributions list in the
 [EvaluatedAnnotationExplanation.explanation][google.cloud.aiplatform.v1beta1.EvaluatedAnnotationExplanation.explanation]
 object corresponds to the
 [predictions][google.cloud.aiplatform.v1beta1.EvaluatedAnnotation.predictions]
 list. For example, the second element in the attributions list explains the
 second element in the predictions list.


 repeated .google.cloud.aiplatform.v1beta1.EvaluatedAnnotationExplanation explanations = 8;

getErrorAnalysisAnnotationsList
```
public List<ErrorAnalysisAnnotation> getErrorAnalysisAnnotationsList()
```
```
 Annotations of model error analysis results.
 
```
repeated .google.cloud.aiplatform.v1beta1.ErrorAnalysisAnnotation error_analysis_annotations = 9;
Specified by:

getErrorAnalysisAnnotationsList in interface EvaluatedAnnotationOrBuilder

getErrorAnalysisAnnotationsCount
```
public int getErrorAnalysisAnnotationsCount()
```
```
 Annotations of model error analysis results.
 
```
repeated .google.cloud.aiplatform.v1beta1.ErrorAnalysisAnnotation error_analysis_annotations = 9;
Specified by:

getErrorAnalysisAnnotationsCount in interface EvaluatedAnnotationOrBuilder

getErrorAnalysisAnnotations
```
public ErrorAnalysisAnnotation getErrorAnalysisAnnotations(int index)
```
```
 Annotations of model error analysis results.
 
```
repeated .google.cloud.aiplatform.v1beta1.ErrorAnalysisAnnotation error_analysis_annotations = 9;
Specified by:

getErrorAnalysisAnnotations in interface EvaluatedAnnotationOrBuilder

setErrorAnalysisAnnotations

public EvaluatedAnnotation.Builder setErrorAnalysisAnnotations(int index,
                                                               ErrorAnalysisAnnotation value)

 Annotations of model error analysis results.


 repeated .google.cloud.aiplatform.v1beta1.ErrorAnalysisAnnotation error_analysis_annotations = 9;

setErrorAnalysisAnnotations

public EvaluatedAnnotation.Builder setErrorAnalysisAnnotations(int index,
                                                               ErrorAnalysisAnnotation.Builder builderForValue)

 Annotations of model error analysis results.


 repeated .google.cloud.aiplatform.v1beta1.ErrorAnalysisAnnotation error_analysis_annotations = 9;

addErrorAnalysisAnnotations

public EvaluatedAnnotation.Builder addErrorAnalysisAnnotations(ErrorAnalysisAnnotation value)

 Annotations of model error analysis results.


 repeated .google.cloud.aiplatform.v1beta1.ErrorAnalysisAnnotation error_analysis_annotations = 9;

addErrorAnalysisAnnotations

public EvaluatedAnnotation.Builder addErrorAnalysisAnnotations(int index,
                                                               ErrorAnalysisAnnotation value)

 Annotations of model error analysis results.


 repeated .google.cloud.aiplatform.v1beta1.ErrorAnalysisAnnotation error_analysis_annotations = 9;

addErrorAnalysisAnnotations

public EvaluatedAnnotation.Builder addErrorAnalysisAnnotations(ErrorAnalysisAnnotation.Builder builderForValue)

 Annotations of model error analysis results.


 repeated .google.cloud.aiplatform.v1beta1.ErrorAnalysisAnnotation error_analysis_annotations = 9;

addErrorAnalysisAnnotations

public EvaluatedAnnotation.Builder addErrorAnalysisAnnotations(int index,
                                                               ErrorAnalysisAnnotation.Builder builderForValue)

 Annotations of model error analysis results.


 repeated .google.cloud.aiplatform.v1beta1.ErrorAnalysisAnnotation error_analysis_annotations = 9;

addAllErrorAnalysisAnnotations

public EvaluatedAnnotation.Builder addAllErrorAnalysisAnnotations(Iterable<? extends ErrorAnalysisAnnotation> values)

 Annotations of model error analysis results.


 repeated .google.cloud.aiplatform.v1beta1.ErrorAnalysisAnnotation error_analysis_annotations = 9;

clearErrorAnalysisAnnotations
```
public EvaluatedAnnotation.Builder clearErrorAnalysisAnnotations()
```
```
 Annotations of model error analysis results.
 
```
repeated .google.cloud.aiplatform.v1beta1.ErrorAnalysisAnnotation error_analysis_annotations = 9;

removeErrorAnalysisAnnotations

public EvaluatedAnnotation.Builder removeErrorAnalysisAnnotations(int index)

 Annotations of model error analysis results.


 repeated .google.cloud.aiplatform.v1beta1.ErrorAnalysisAnnotation error_analysis_annotations = 9;

getErrorAnalysisAnnotationsBuilder

public ErrorAnalysisAnnotation.Builder getErrorAnalysisAnnotationsBuilder(int index)

 Annotations of model error analysis results.


 repeated .google.cloud.aiplatform.v1beta1.ErrorAnalysisAnnotation error_analysis_annotations = 9;

getErrorAnalysisAnnotationsOrBuilder
```
public ErrorAnalysisAnnotationOrBuilder getErrorAnalysisAnnotationsOrBuilder(int index)
```
```
 Annotations of model error analysis results.
 
```
repeated .google.cloud.aiplatform.v1beta1.ErrorAnalysisAnnotation error_analysis_annotations = 9;
Specified by:

getErrorAnalysisAnnotationsOrBuilder in interface EvaluatedAnnotationOrBuilder

getErrorAnalysisAnnotationsOrBuilderList
```
public List<? extends ErrorAnalysisAnnotationOrBuilder> getErrorAnalysisAnnotationsOrBuilderList()
```
```
 Annotations of model error analysis results.
 
```
repeated .google.cloud.aiplatform.v1beta1.ErrorAnalysisAnnotation error_analysis_annotations = 9;
Specified by:

getErrorAnalysisAnnotationsOrBuilderList in interface EvaluatedAnnotationOrBuilder

addErrorAnalysisAnnotationsBuilder

public ErrorAnalysisAnnotation.Builder addErrorAnalysisAnnotationsBuilder()

 Annotations of model error analysis results.


 repeated .google.cloud.aiplatform.v1beta1.ErrorAnalysisAnnotation error_analysis_annotations = 9;

addErrorAnalysisAnnotationsBuilder

public ErrorAnalysisAnnotation.Builder addErrorAnalysisAnnotationsBuilder(int index)

 Annotations of model error analysis results.


 repeated .google.cloud.aiplatform.v1beta1.ErrorAnalysisAnnotation error_analysis_annotations = 9;

getErrorAnalysisAnnotationsBuilderList

public List<ErrorAnalysisAnnotation.Builder> getErrorAnalysisAnnotationsBuilderList()

 Annotations of model error analysis results.


 repeated .google.cloud.aiplatform.v1beta1.ErrorAnalysisAnnotation error_analysis_annotations = 9;

setUnknownFields
```
public final EvaluatedAnnotation.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<EvaluatedAnnotation.Builder>

mergeUnknownFields
```
public final EvaluatedAnnotation.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<EvaluatedAnnotation.Builder>

Class EvaluatedAnnotation.Builder

Method Summary

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

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

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

Methods inherited from class java.lang.Object

Methods inherited from interface com.google.protobuf.MessageOrBuilder

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

Method Detail

getDescriptor

internalGetFieldAccessorTable

clear

getDescriptorForType

getDefaultInstanceForType

build

buildPartial

clone

setField

clearField

clearOneof

setRepeatedField

addRepeatedField

mergeFrom

mergeFrom

isInitialized

mergeFrom

getTypeValue

setTypeValue

getType

setType

clearType

getPredictionsList

getPredictionsCount

getPredictions

setPredictions

setPredictions

addPredictions

addPredictions

addPredictions

addPredictions

addAllPredictions

clearPredictions

removePredictions

getPredictionsBuilder

getPredictionsOrBuilder

getPredictionsOrBuilderList

addPredictionsBuilder

addPredictionsBuilder

getPredictionsBuilderList

getGroundTruthsList

getGroundTruthsCount

getGroundTruths

setGroundTruths

setGroundTruths

addGroundTruths

addGroundTruths

addGroundTruths

addGroundTruths

addAllGroundTruths

clearGroundTruths

removeGroundTruths

getGroundTruthsBuilder

getGroundTruthsOrBuilder

getGroundTruthsOrBuilderList

addGroundTruthsBuilder

addGroundTruthsBuilder

getGroundTruthsBuilderList

hasDataItemPayload

getDataItemPayload

setDataItemPayload

setDataItemPayload

mergeDataItemPayload

clearDataItemPayload

getDataItemPayloadBuilder

getDataItemPayloadOrBuilder

getEvaluatedDataItemViewId

getEvaluatedDataItemViewIdBytes

setEvaluatedDataItemViewId

clearEvaluatedDataItemViewId

setEvaluatedDataItemViewIdBytes