Class EvaluatedAnnotation (3.20.0)

public final class EvaluatedAnnotation extends GeneratedMessageV3 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.v1.EvaluatedAnnotation

Inheritance

Object > AbstractMessageLite<MessageType,BuilderType> > AbstractMessage > GeneratedMessageV3 > EvaluatedAnnotation

Implements

EvaluatedAnnotationOrBuilder

Inherited Members

AbstractMessage.equals(Object)

AbstractMessage.findInitializationErrors()

AbstractMessage.getInitializationErrorString()

AbstractMessage.hashBoolean(boolean)

AbstractMessage.hashCode()

AbstractMessage.hashEnum(Internal.EnumLite)

AbstractMessage.hashEnumList(List<? extends Internal.EnumLite>)

AbstractMessage.hashFields(int,Map<Descriptors.FieldDescriptor,Object>)

AbstractMessage.hashLong(long)

AbstractMessage.toString()

AbstractMessageLite.<T>addAll(Iterable<T>,Collection<? super T>)

AbstractMessageLite.<T>addAll(Iterable<T>,List<? super T>)

AbstractMessageLite.checkByteStringIsUtf8(ByteString)

AbstractMessageLite.toByteArray()

AbstractMessageLite.toByteString()

AbstractMessageLite.writeDelimitedTo(OutputStream)

AbstractMessageLite.writeTo(OutputStream)

com.google.protobuf.GeneratedMessageV3.<ListT>makeMutableCopy(ListT)

GeneratedMessageV3.<M>parseDelimitedWithIOException(Parser<M>,InputStream)

GeneratedMessageV3.<M>parseDelimitedWithIOException(Parser<M>,InputStream,ExtensionRegistryLite)

GeneratedMessageV3.<M>parseWithIOException(Parser<M>,CodedInputStream)

GeneratedMessageV3.<M>parseWithIOException(Parser<M>,CodedInputStream,ExtensionRegistryLite)

GeneratedMessageV3.<M>parseWithIOException(Parser<M>,InputStream)

GeneratedMessageV3.<M>parseWithIOException(Parser<M>,InputStream,ExtensionRegistryLite)

GeneratedMessageV3.<V>serializeBooleanMapTo(CodedOutputStream,MapField<Boolean,V>,MapEntry<Boolean,V>,int)

GeneratedMessageV3.<V>serializeIntegerMapTo(CodedOutputStream,MapField<Integer,V>,MapEntry<Integer,V>,int)

GeneratedMessageV3.<V>serializeLongMapTo(CodedOutputStream,MapField<Long,V>,MapEntry<Long,V>,int)

GeneratedMessageV3.<V>serializeStringMapTo(CodedOutputStream,MapField<String,V>,MapEntry<String,V>,int)

GeneratedMessageV3.canUseUnsafe()

GeneratedMessageV3.computeStringSize(int,Object)

GeneratedMessageV3.computeStringSizeNoTag(Object)

GeneratedMessageV3.emptyBooleanList()

GeneratedMessageV3.emptyDoubleList()

GeneratedMessageV3.emptyFloatList()

GeneratedMessageV3.emptyIntList()

GeneratedMessageV3.emptyLongList()

GeneratedMessageV3.getAllFields()

GeneratedMessageV3.getDescriptorForType()

GeneratedMessageV3.getField(Descriptors.FieldDescriptor)

GeneratedMessageV3.getOneofFieldDescriptor(Descriptors.OneofDescriptor)

GeneratedMessageV3.getParserForType()

GeneratedMessageV3.getRepeatedField(Descriptors.FieldDescriptor,int)

GeneratedMessageV3.getRepeatedFieldCount(Descriptors.FieldDescriptor)

GeneratedMessageV3.getSerializedSize()

GeneratedMessageV3.getUnknownFields()

GeneratedMessageV3.hasField(Descriptors.FieldDescriptor)

GeneratedMessageV3.hasOneof(Descriptors.OneofDescriptor)

GeneratedMessageV3.internalGetFieldAccessorTable()

GeneratedMessageV3.internalGetMapField(int)

GeneratedMessageV3.isInitialized()

GeneratedMessageV3.isStringEmpty(Object)

GeneratedMessageV3.makeExtensionsImmutable()

GeneratedMessageV3.mergeFromAndMakeImmutableInternal(CodedInputStream,ExtensionRegistryLite)

GeneratedMessageV3.mutableCopy(Internal.BooleanList)

GeneratedMessageV3.mutableCopy(Internal.DoubleList)

GeneratedMessageV3.mutableCopy(Internal.FloatList)

GeneratedMessageV3.mutableCopy(Internal.IntList)

GeneratedMessageV3.mutableCopy(Internal.LongList)

GeneratedMessageV3.newBooleanList()

GeneratedMessageV3.newBuilderForType(AbstractMessage.BuilderParent)

GeneratedMessageV3.newBuilderForType(GeneratedMessageV3.BuilderParent)

GeneratedMessageV3.newDoubleList()

GeneratedMessageV3.newFloatList()

GeneratedMessageV3.newInstance(GeneratedMessageV3.UnusedPrivateParameter)

GeneratedMessageV3.newIntList()

GeneratedMessageV3.newLongList()

GeneratedMessageV3.parseUnknownField(CodedInputStream,UnknownFieldSet.Builder,ExtensionRegistryLite,int)

GeneratedMessageV3.parseUnknownFieldProto3(CodedInputStream,UnknownFieldSet.Builder,ExtensionRegistryLite,int)

GeneratedMessageV3.writeReplace()

GeneratedMessageV3.writeString(CodedOutputStream,int,Object)

GeneratedMessageV3.writeStringNoTag(CodedOutputStream,Object)

GeneratedMessageV3.writeTo(CodedOutputStream)

Object.clone()

Object.finalize()

Object.getClass()

Object.notify()

Object.notifyAll()

Object.wait()

Object.wait(long)

Object.wait(long,int)

Static Fields

DATA_ITEM_PAYLOAD_FIELD_NUMBER

public static final int DATA_ITEM_PAYLOAD_FIELD_NUMBER

Field Value
Type	Description
`int`

ERROR_ANALYSIS_ANNOTATIONS_FIELD_NUMBER

public static final int ERROR_ANALYSIS_ANNOTATIONS_FIELD_NUMBER

Field Value
Type	Description
`int`

EVALUATED_DATA_ITEM_VIEW_ID_FIELD_NUMBER

public static final int EVALUATED_DATA_ITEM_VIEW_ID_FIELD_NUMBER

Field Value
Type	Description
`int`

EXPLANATIONS_FIELD_NUMBER

public static final int EXPLANATIONS_FIELD_NUMBER

Field Value
Type	Description
`int`

GROUND_TRUTHS_FIELD_NUMBER

public static final int GROUND_TRUTHS_FIELD_NUMBER

Field Value
Type	Description
`int`

PREDICTIONS_FIELD_NUMBER

public static final int PREDICTIONS_FIELD_NUMBER

Field Value
Type	Description
`int`

TYPE_FIELD_NUMBER

public static final int TYPE_FIELD_NUMBER

Field Value
Type	Description
`int`

Static Methods

getDefaultInstance()

public static EvaluatedAnnotation getDefaultInstance()

Returns
Type	Description
`EvaluatedAnnotation`

getDescriptor()

public static final Descriptors.Descriptor getDescriptor()

Returns
Type	Description
`Descriptor`

newBuilder()

public static EvaluatedAnnotation.Builder newBuilder()

Returns
Type	Description
`EvaluatedAnnotation.Builder`

newBuilder(EvaluatedAnnotation prototype)

public static EvaluatedAnnotation.Builder newBuilder(EvaluatedAnnotation prototype)

Parameter
Name	Description
`prototype`	`EvaluatedAnnotation`

Returns
Type	Description
`EvaluatedAnnotation.Builder`

parseDelimitedFrom(InputStream input)

public static EvaluatedAnnotation parseDelimitedFrom(InputStream input)

Parameter
Name	Description
`input`	`InputStream`

Returns
Type	Description
`EvaluatedAnnotation`

Exceptions
Type	Description
`IOException`

parseDelimitedFrom(InputStream input, ExtensionRegistryLite extensionRegistry)

public static EvaluatedAnnotation parseDelimitedFrom(InputStream input, ExtensionRegistryLite extensionRegistry)

Parameters
Name	Description
`input`	`InputStream`
`extensionRegistry`	`ExtensionRegistryLite`

Returns
Type	Description
`EvaluatedAnnotation`

Exceptions
Type	Description
`IOException`

parseFrom(byte[] data)

public static EvaluatedAnnotation parseFrom(byte[] data)

Parameter
Name	Description
`data`	`byte[]`

Returns
Type	Description
`EvaluatedAnnotation`

Exceptions
Type	Description
`InvalidProtocolBufferException`

parseFrom(byte[] data, ExtensionRegistryLite extensionRegistry)

public static EvaluatedAnnotation parseFrom(byte[] data, ExtensionRegistryLite extensionRegistry)

Parameters
Name	Description
`data`	`byte[]`
`extensionRegistry`	`ExtensionRegistryLite`

Returns
Type	Description
`EvaluatedAnnotation`

Exceptions
Type	Description
`InvalidProtocolBufferException`

parseFrom(ByteString data)

public static EvaluatedAnnotation parseFrom(ByteString data)

Parameter
Name	Description
`data`	`ByteString`

Returns
Type	Description
`EvaluatedAnnotation`

Exceptions
Type	Description
`InvalidProtocolBufferException`

parseFrom(ByteString data, ExtensionRegistryLite extensionRegistry)

public static EvaluatedAnnotation parseFrom(ByteString data, ExtensionRegistryLite extensionRegistry)

Parameters
Name	Description
`data`	`ByteString`
`extensionRegistry`	`ExtensionRegistryLite`

Returns
Type	Description
`EvaluatedAnnotation`

Exceptions
Type	Description
`InvalidProtocolBufferException`

parseFrom(CodedInputStream input)

public static EvaluatedAnnotation parseFrom(CodedInputStream input)

Parameter
Name	Description
`input`	`CodedInputStream`

Returns
Type	Description
`EvaluatedAnnotation`

Exceptions
Type	Description
`IOException`

parseFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

public static EvaluatedAnnotation parseFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

Parameters
Name	Description
`input`	`CodedInputStream`
`extensionRegistry`	`ExtensionRegistryLite`

Returns
Type	Description
`EvaluatedAnnotation`

Exceptions
Type	Description
`IOException`

parseFrom(InputStream input)

public static EvaluatedAnnotation parseFrom(InputStream input)

Parameter
Name	Description
`input`	`InputStream`

Returns
Type	Description
`EvaluatedAnnotation`

Exceptions
Type	Description
`IOException`

parseFrom(InputStream input, ExtensionRegistryLite extensionRegistry)

public static EvaluatedAnnotation parseFrom(InputStream input, ExtensionRegistryLite extensionRegistry)

Parameters
Name	Description
`input`	`InputStream`
`extensionRegistry`	`ExtensionRegistryLite`

Returns
Type	Description
`EvaluatedAnnotation`

Exceptions
Type	Description
`IOException`

parseFrom(ByteBuffer data)

public static EvaluatedAnnotation parseFrom(ByteBuffer data)

Parameter
Name	Description
`data`	`ByteBuffer`

Returns
Type	Description
`EvaluatedAnnotation`

Exceptions
Type	Description
`InvalidProtocolBufferException`

parseFrom(ByteBuffer data, ExtensionRegistryLite extensionRegistry)

public static EvaluatedAnnotation parseFrom(ByteBuffer data, ExtensionRegistryLite extensionRegistry)

Parameters
Name	Description
`data`	`ByteBuffer`
`extensionRegistry`	`ExtensionRegistryLite`

Returns
Type	Description
`EvaluatedAnnotation`

Exceptions
Type	Description
`InvalidProtocolBufferException`

parser()

public static Parser<EvaluatedAnnotation> parser()

Returns
Type	Description
`Parser<EvaluatedAnnotation>`

Methods

equals(Object obj)

public boolean equals(Object obj)

Parameter
Name	Description
`obj`	`Object`

Returns
Type	Description
`boolean`

Overrides

AbstractMessage.equals(Object other)

getDataItemPayload()

public 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];

Returns
Type	Description
`Value`	The dataItemPayload.

getDataItemPayloadOrBuilder()

public 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];

Returns
Type	Description
`ValueOrBuilder`

getDefaultInstanceForType()

public EvaluatedAnnotation getDefaultInstanceForType()

Returns
Type	Description
`EvaluatedAnnotation`

getErrorAnalysisAnnotations(int index)

public ErrorAnalysisAnnotation getErrorAnalysisAnnotations(int index)

Annotations of model error analysis results.

repeated .google.cloud.aiplatform.v1.ErrorAnalysisAnnotation error_analysis_annotations = 9;

Parameter
Name	Description
`index`	`int`

Returns
Type	Description
`ErrorAnalysisAnnotation`

getErrorAnalysisAnnotationsCount()

public int getErrorAnalysisAnnotationsCount()

Annotations of model error analysis results.

repeated .google.cloud.aiplatform.v1.ErrorAnalysisAnnotation error_analysis_annotations = 9;

Returns
Type	Description
`int`

getErrorAnalysisAnnotationsList()

public List<ErrorAnalysisAnnotation> getErrorAnalysisAnnotationsList()

Annotations of model error analysis results.

repeated .google.cloud.aiplatform.v1.ErrorAnalysisAnnotation error_analysis_annotations = 9;

Returns
Type	Description
`List<ErrorAnalysisAnnotation>`

getErrorAnalysisAnnotationsOrBuilder(int index)

public ErrorAnalysisAnnotationOrBuilder getErrorAnalysisAnnotationsOrBuilder(int index)

Annotations of model error analysis results.

repeated .google.cloud.aiplatform.v1.ErrorAnalysisAnnotation error_analysis_annotations = 9;

Parameter
Name	Description
`index`	`int`

Returns
Type	Description
`ErrorAnalysisAnnotationOrBuilder`

getErrorAnalysisAnnotationsOrBuilderList()

public List<? extends ErrorAnalysisAnnotationOrBuilder> getErrorAnalysisAnnotationsOrBuilderList()

Annotations of model error analysis results.

repeated .google.cloud.aiplatform.v1.ErrorAnalysisAnnotation error_analysis_annotations = 9;

Returns
Type	Description
`List<? extends com.google.cloud.aiplatform.v1.ErrorAnalysisAnnotationOrBuilder>`

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.

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

Returns
Type	Description
`String`	The evaluatedDataItemViewId.

getEvaluatedDataItemViewIdBytes()

public 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.

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

Returns
Type	Description
`ByteString`	The bytes for evaluatedDataItemViewId.

getExplanations(int index)

public EvaluatedAnnotationExplanation getExplanations(int index)

Explanations of predictions. Each element of the explanations indicates the explanation for one explanation Method.

The attributions list in the EvaluatedAnnotationExplanation.explanation object corresponds to the predictions list. For example, the second element in the attributions list explains the second element in the predictions list.

repeated .google.cloud.aiplatform.v1.EvaluatedAnnotationExplanation explanations = 8;

Parameter
Name	Description
`index`	`int`

Returns
Type	Description
`EvaluatedAnnotationExplanation`

getExplanationsCount()

public int getExplanationsCount()

Explanations of predictions. Each element of the explanations indicates the explanation for one explanation Method.

repeated .google.cloud.aiplatform.v1.EvaluatedAnnotationExplanation explanations = 8;

Returns
Type	Description
`int`

getExplanationsList()

public List<EvaluatedAnnotationExplanation> getExplanationsList()

Explanations of predictions. Each element of the explanations indicates the explanation for one explanation Method.

repeated .google.cloud.aiplatform.v1.EvaluatedAnnotationExplanation explanations = 8;

Returns
Type	Description
`List<EvaluatedAnnotationExplanation>`

getExplanationsOrBuilder(int index)

public EvaluatedAnnotationExplanationOrBuilder getExplanationsOrBuilder(int index)

Explanations of predictions. Each element of the explanations indicates the explanation for one explanation Method.

repeated .google.cloud.aiplatform.v1.EvaluatedAnnotationExplanation explanations = 8;

Parameter
Name	Description
`index`	`int`

Returns
Type	Description
`EvaluatedAnnotationExplanationOrBuilder`

getExplanationsOrBuilderList()

public List<? extends EvaluatedAnnotationExplanationOrBuilder> getExplanationsOrBuilderList()

Explanations of predictions. Each element of the explanations indicates the explanation for one explanation Method.

repeated .google.cloud.aiplatform.v1.EvaluatedAnnotationExplanation explanations = 8;

Returns
Type	Description
`List<? extends com.google.cloud.aiplatform.v1.EvaluatedAnnotationExplanationOrBuilder>`

getGroundTruths(int index)

public 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.

For false positive, there are zero or more ground truth annotations that are similar to the only prediction in 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];

Parameter
Name	Description
`index`	`int`

Returns
Type	Description
`Value`

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.

For false positive, there are zero or more ground truth annotations that are similar to the only prediction in 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];

Returns
Type	Description
`int`

getGroundTruthsList()

public List<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.

For false positive, there are zero or more ground truth annotations that are similar to the only prediction in 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];

Returns
Type	Description
`List<Value>`

getGroundTruthsOrBuilder(int index)

public 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.

For false positive, there are zero or more ground truth annotations that are similar to the only prediction in 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];

Parameter
Name	Description
`index`	`int`

Returns
Type	Description
`ValueOrBuilder`

getGroundTruthsOrBuilderList()

public List<? extends 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.

For false positive, there are zero or more ground truth annotations that are similar to the only prediction in 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];

Returns
Type	Description
`List<? extends com.google.protobuf.ValueOrBuilder>`

getParserForType()

public Parser<EvaluatedAnnotation> getParserForType()

Returns
Type	Description
`Parser<EvaluatedAnnotation>`

Overrides

GeneratedMessageV3.getParserForType()

getPredictions(int index)

public 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.

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.

For false negative, there are zero or more predictions which are similar to the only ground truth annotation in 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];

Parameter
Name	Description
`index`	`int`

Returns
Type	Description
`Value`

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.

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.

For false negative, there are zero or more predictions which are similar to the only ground truth annotation in 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];

Returns
Type	Description
`int`

getPredictionsList()

public List<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.

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.

For false negative, there are zero or more predictions which are similar to the only ground truth annotation in 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];

Returns
Type	Description
`List<Value>`

getPredictionsOrBuilder(int index)

public 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.

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.

For false negative, there are zero or more predictions which are similar to the only ground truth annotation in 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];

Parameter
Name	Description
`index`	`int`

Returns
Type	Description
`ValueOrBuilder`

getPredictionsOrBuilderList()

public List<? extends 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.

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.

For false negative, there are zero or more predictions which are similar to the only ground truth annotation in 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];

Returns
Type	Description
`List<? extends com.google.protobuf.ValueOrBuilder>`

getSerializedSize()

public int getSerializedSize()

Returns
Type	Description
`int`

Overrides

GeneratedMessageV3.getSerializedSize()

getType()

public EvaluatedAnnotation.EvaluatedAnnotationType getType()

Output only. Type of the EvaluatedAnnotation.

.google.cloud.aiplatform.v1.EvaluatedAnnotation.EvaluatedAnnotationType type = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns
Type	Description
`EvaluatedAnnotation.EvaluatedAnnotationType`	The type.

getTypeValue()

public int getTypeValue()

Output only. Type of the EvaluatedAnnotation.

.google.cloud.aiplatform.v1.EvaluatedAnnotation.EvaluatedAnnotationType type = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns
Type	Description
`int`	The enum numeric value on the wire for type.

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];

Returns
Type	Description
`boolean`	Whether the dataItemPayload field is set.

hashCode()

public int hashCode()

Returns
Type	Description
`int`

Overrides

AbstractMessage.hashCode()

internalGetFieldAccessorTable()

protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()

Returns
Type	Description
`FieldAccessorTable`

Overrides

GeneratedMessageV3.internalGetFieldAccessorTable()

isInitialized()

public final boolean isInitialized()

Returns
Type	Description
`boolean`

Overrides

GeneratedMessageV3.isInitialized()

newBuilderForType()

public EvaluatedAnnotation.Builder newBuilderForType()

Returns
Type	Description
`EvaluatedAnnotation.Builder`

newBuilderForType(GeneratedMessageV3.BuilderParent parent)

protected EvaluatedAnnotation.Builder newBuilderForType(GeneratedMessageV3.BuilderParent parent)

Parameter
Name	Description
`parent`	`BuilderParent`

Returns
Type	Description
`EvaluatedAnnotation.Builder`

Overrides

GeneratedMessageV3.newBuilderForType(GeneratedMessageV3.BuilderParent parent)

newInstance(GeneratedMessageV3.UnusedPrivateParameter unused)

protected Object newInstance(GeneratedMessageV3.UnusedPrivateParameter unused)

Parameter
Name	Description
`unused`	`UnusedPrivateParameter`

Returns
Type	Description
`Object`

Overrides

GeneratedMessageV3.newInstance(GeneratedMessageV3.UnusedPrivateParameter unused)

toBuilder()

public EvaluatedAnnotation.Builder toBuilder()

Returns
Type	Description
`EvaluatedAnnotation.Builder`

writeTo(CodedOutputStream output)

public void writeTo(CodedOutputStream output)

Parameter
Name	Description
`output`	`CodedOutputStream`

Overrides

GeneratedMessageV3.writeTo(CodedOutputStream output)

Exceptions
Type	Description
`IOException`