Class EvaluatedAnnotation.Builder (3.21.0)

public static final class EvaluatedAnnotation.Builder extends 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

Inheritance

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

Implements

EvaluatedAnnotationOrBuilder

Inherited Members

AbstractMessage.Builder.findInitializationErrors()

AbstractMessage.Builder.getInitializationErrorString()

AbstractMessage.Builder.internalMergeFrom(AbstractMessageLite)

AbstractMessage.Builder.mergeFrom(byte[])

AbstractMessage.Builder.mergeFrom(byte[],ExtensionRegistryLite)

AbstractMessage.Builder.mergeFrom(byte[],int,int)

AbstractMessage.Builder.mergeFrom(byte[],int,int,ExtensionRegistryLite)

AbstractMessage.Builder.mergeFrom(ByteString)

AbstractMessage.Builder.mergeFrom(ByteString,ExtensionRegistryLite)

AbstractMessage.Builder.mergeFrom(CodedInputStream)

AbstractMessage.Builder.mergeFrom(CodedInputStream,ExtensionRegistryLite)

AbstractMessage.Builder.mergeFrom(Message)

AbstractMessage.Builder.mergeFrom(InputStream)

AbstractMessage.Builder.mergeFrom(InputStream,ExtensionRegistryLite)

AbstractMessage.Builder.newUninitializedMessageException(Message)

AbstractMessage.Builder.toString()

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

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

AbstractMessageLite.Builder.internalMergeFrom(MessageType)

AbstractMessageLite.Builder.mergeDelimitedFrom(InputStream)

AbstractMessageLite.Builder.mergeDelimitedFrom(InputStream,ExtensionRegistryLite)

AbstractMessageLite.Builder.mergeFrom(MessageLite)

AbstractMessageLite.Builder.newUninitializedMessageException(MessageLite)

GeneratedMessageV3.Builder.addRepeatedField(Descriptors.FieldDescriptor,Object)

GeneratedMessageV3.Builder.clear()

GeneratedMessageV3.Builder.clearField(Descriptors.FieldDescriptor)

GeneratedMessageV3.Builder.clearOneof(Descriptors.OneofDescriptor)

GeneratedMessageV3.Builder.clone()

GeneratedMessageV3.Builder.getAllFields()

GeneratedMessageV3.Builder.getDescriptorForType()

GeneratedMessageV3.Builder.getField(Descriptors.FieldDescriptor)

GeneratedMessageV3.Builder.getFieldBuilder(Descriptors.FieldDescriptor)

GeneratedMessageV3.Builder.getOneofFieldDescriptor(Descriptors.OneofDescriptor)

GeneratedMessageV3.Builder.getParentForChildren()

GeneratedMessageV3.Builder.getRepeatedField(Descriptors.FieldDescriptor,int)

GeneratedMessageV3.Builder.getRepeatedFieldBuilder(Descriptors.FieldDescriptor,int)

GeneratedMessageV3.Builder.getRepeatedFieldCount(Descriptors.FieldDescriptor)

com.google.protobuf.GeneratedMessageV3.Builder.getUnknownFieldSetBuilder()

GeneratedMessageV3.Builder.getUnknownFields()

GeneratedMessageV3.Builder.hasField(Descriptors.FieldDescriptor)

GeneratedMessageV3.Builder.hasOneof(Descriptors.OneofDescriptor)

GeneratedMessageV3.Builder.internalGetFieldAccessorTable()

GeneratedMessageV3.Builder.internalGetMapField(int)

GeneratedMessageV3.Builder.internalGetMutableMapField(int)

GeneratedMessageV3.Builder.isClean()

GeneratedMessageV3.Builder.isInitialized()

GeneratedMessageV3.Builder.markClean()

GeneratedMessageV3.Builder.mergeUnknownFields(UnknownFieldSet)

com.google.protobuf.GeneratedMessageV3.Builder.mergeUnknownLengthDelimitedField(int,com.google.protobuf.ByteString)

com.google.protobuf.GeneratedMessageV3.Builder.mergeUnknownVarintField(int,int)

GeneratedMessageV3.Builder.newBuilderForField(Descriptors.FieldDescriptor)

GeneratedMessageV3.Builder.onBuilt()

GeneratedMessageV3.Builder.onChanged()

com.google.protobuf.GeneratedMessageV3.Builder.parseUnknownField(com.google.protobuf.CodedInputStream,com.google.protobuf.ExtensionRegistryLite,int)

GeneratedMessageV3.Builder.setField(Descriptors.FieldDescriptor,Object)

GeneratedMessageV3.Builder.setRepeatedField(Descriptors.FieldDescriptor,int,Object)

com.google.protobuf.GeneratedMessageV3.Builder.setUnknownFieldSetBuilder(com.google.protobuf.UnknownFieldSet.Builder)

GeneratedMessageV3.Builder.setUnknownFields(UnknownFieldSet)

GeneratedMessageV3.Builder.setUnknownFieldsProto3(UnknownFieldSet)

Object.equals(Object)

Object.finalize()

Object.getClass()

Object.hashCode()

Object.notify()

Object.notifyAll()

Object.wait()

Object.wait(long)

Object.wait(long,int)

Static Methods

getDescriptor()

public static final Descriptors.Descriptor getDescriptor()

Returns
Type	Description
`Descriptor`

Methods

addAllErrorAnalysisAnnotations(Iterable<? extends ErrorAnalysisAnnotation> values)

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

Annotations of model error analysis results.

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

Parameter
Name	Description
`values`	`Iterable<? extends com.google.cloud.aiplatform.v1beta1.ErrorAnalysisAnnotation>`

Returns
Type	Description
`EvaluatedAnnotation.Builder`

addAllExplanations(Iterable<? extends EvaluatedAnnotationExplanation> values)

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

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.v1beta1.EvaluatedAnnotationExplanation explanations = 8;

Parameter
Name	Description
`values`	`Iterable<? extends com.google.cloud.aiplatform.v1beta1.EvaluatedAnnotationExplanation>`

Returns
Type	Description
`EvaluatedAnnotation.Builder`

addAllGroundTruths(Iterable<? extends Value> values)

public EvaluatedAnnotation.Builder addAllGroundTruths(Iterable<? extends 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.

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
`values`	`Iterable<? extends com.google.protobuf.Value>`

Returns
Type	Description
`EvaluatedAnnotation.Builder`

addAllPredictions(Iterable<? extends Value> values)

public EvaluatedAnnotation.Builder addAllPredictions(Iterable<? extends 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.

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
`values`	`Iterable<? extends com.google.protobuf.Value>`

Returns
Type	Description
`EvaluatedAnnotation.Builder`

addErrorAnalysisAnnotations(ErrorAnalysisAnnotation value)

public EvaluatedAnnotation.Builder addErrorAnalysisAnnotations(ErrorAnalysisAnnotation value)

Annotations of model error analysis results.

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

Parameter
Name	Description
`value`	`ErrorAnalysisAnnotation`

Returns
Type	Description
`EvaluatedAnnotation.Builder`

addErrorAnalysisAnnotations(ErrorAnalysisAnnotation.Builder builderForValue)

public EvaluatedAnnotation.Builder addErrorAnalysisAnnotations(ErrorAnalysisAnnotation.Builder builderForValue)

Annotations of model error analysis results.

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

Parameter
Name	Description
`builderForValue`	`ErrorAnalysisAnnotation.Builder`

Returns
Type	Description
`EvaluatedAnnotation.Builder`

addErrorAnalysisAnnotations(int index, ErrorAnalysisAnnotation value)

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

Annotations of model error analysis results.

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

Parameters
Name	Description
`index`	`int`
`value`	`ErrorAnalysisAnnotation`

Returns
Type	Description
`EvaluatedAnnotation.Builder`

addErrorAnalysisAnnotations(int index, ErrorAnalysisAnnotation.Builder builderForValue)

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;

Parameters
Name	Description
`index`	`int`
`builderForValue`	`ErrorAnalysisAnnotation.Builder`

Returns
Type	Description
`EvaluatedAnnotation.Builder`

addErrorAnalysisAnnotationsBuilder()

public ErrorAnalysisAnnotation.Builder addErrorAnalysisAnnotationsBuilder()

Annotations of model error analysis results.

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

Returns
Type	Description
`ErrorAnalysisAnnotation.Builder`

addErrorAnalysisAnnotationsBuilder(int index)

public ErrorAnalysisAnnotation.Builder addErrorAnalysisAnnotationsBuilder(int index)

Annotations of model error analysis results.

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

Parameter
Name	Description
`index`	`int`

Returns
Type	Description
`ErrorAnalysisAnnotation.Builder`

addExplanations(EvaluatedAnnotationExplanation value)

public EvaluatedAnnotation.Builder addExplanations(EvaluatedAnnotationExplanation value)

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

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

Parameter
Name	Description
`value`	`EvaluatedAnnotationExplanation`

Returns
Type	Description
`EvaluatedAnnotation.Builder`

addExplanations(EvaluatedAnnotationExplanation.Builder builderForValue)

public EvaluatedAnnotation.Builder addExplanations(EvaluatedAnnotationExplanation.Builder builderForValue)

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

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

Parameter
Name	Description
`builderForValue`	`EvaluatedAnnotationExplanation.Builder`

Returns
Type	Description
`EvaluatedAnnotation.Builder`

addExplanations(int index, EvaluatedAnnotationExplanation value)

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

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

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

Parameters
Name	Description
`index`	`int`
`value`	`EvaluatedAnnotationExplanation`

Returns
Type	Description
`EvaluatedAnnotation.Builder`

addExplanations(int index, EvaluatedAnnotationExplanation.Builder builderForValue)

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

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

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

Parameters
Name	Description
`index`	`int`
`builderForValue`	`EvaluatedAnnotationExplanation.Builder`

Returns
Type	Description
`EvaluatedAnnotation.Builder`

addExplanationsBuilder()

public EvaluatedAnnotationExplanation.Builder addExplanationsBuilder()

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

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

Returns
Type	Description
`EvaluatedAnnotationExplanation.Builder`

addExplanationsBuilder(int index)

public EvaluatedAnnotationExplanation.Builder addExplanationsBuilder(int index)

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

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

Parameter
Name	Description
`index`	`int`

Returns
Type	Description
`EvaluatedAnnotationExplanation.Builder`

addGroundTruths(Value value)

public EvaluatedAnnotation.Builder addGroundTruths(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.

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
`value`	`Value`

Returns
Type	Description
`EvaluatedAnnotation.Builder`

addGroundTruths(Value.Builder builderForValue)

public EvaluatedAnnotation.Builder addGroundTruths(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.

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
`builderForValue`	`Builder`

Returns
Type	Description
`EvaluatedAnnotation.Builder`

addGroundTruths(int index, Value value)

public EvaluatedAnnotation.Builder addGroundTruths(int index, 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.

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];

Parameters
Name	Description
`index`	`int`
`value`	`Value`

Returns
Type	Description
`EvaluatedAnnotation.Builder`

addGroundTruths(int index, Value.Builder builderForValue)

public EvaluatedAnnotation.Builder addGroundTruths(int index, 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.

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];

Parameters
Name	Description
`index`	`int`
`builderForValue`	`Builder`

Returns
Type	Description
`EvaluatedAnnotation.Builder`

addGroundTruthsBuilder()

public 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.

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
`Builder`

addGroundTruthsBuilder(int index)

public 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.

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
`Builder`

addPredictions(Value value)

public EvaluatedAnnotation.Builder addPredictions(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.

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
`value`	`Value`

Returns
Type	Description
`EvaluatedAnnotation.Builder`

addPredictions(Value.Builder builderForValue)

public EvaluatedAnnotation.Builder addPredictions(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.

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
`builderForValue`	`Builder`

Returns
Type	Description
`EvaluatedAnnotation.Builder`

addPredictions(int index, Value value)

public EvaluatedAnnotation.Builder addPredictions(int index, 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.

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];

Parameters
Name	Description
`index`	`int`
`value`	`Value`

Returns
Type	Description
`EvaluatedAnnotation.Builder`

addPredictions(int index, Value.Builder builderForValue)

public EvaluatedAnnotation.Builder addPredictions(int index, 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.

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];

Parameters
Name	Description
`index`	`int`
`builderForValue`	`Builder`

Returns
Type	Description
`EvaluatedAnnotation.Builder`

addPredictionsBuilder()

public 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.

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
`Builder`

addPredictionsBuilder(int index)

public 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.

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
`Builder`

addRepeatedField(Descriptors.FieldDescriptor field, Object value)

public EvaluatedAnnotation.Builder addRepeatedField(Descriptors.FieldDescriptor field, Object value)

Parameters
Name	Description
`field`	`FieldDescriptor`
`value`	`Object`

Returns
Type	Description
`EvaluatedAnnotation.Builder`

Overrides

GeneratedMessageV3.Builder<BuilderType>.addRepeatedField(Descriptors.FieldDescriptor field, Object value)

build()

public EvaluatedAnnotation build()

Returns
Type	Description
`EvaluatedAnnotation`

buildPartial()

public EvaluatedAnnotation buildPartial()

Returns
Type	Description
`EvaluatedAnnotation`

clear()

public EvaluatedAnnotation.Builder clear()

Returns
Type	Description
`EvaluatedAnnotation.Builder`

Overrides

GeneratedMessageV3.Builder<BuilderType>.clear()

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];

Returns
Type	Description
`EvaluatedAnnotation.Builder`

clearErrorAnalysisAnnotations()

public EvaluatedAnnotation.Builder clearErrorAnalysisAnnotations()

Annotations of model error analysis results.

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

Returns
Type	Description
`EvaluatedAnnotation.Builder`

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.

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

Returns
Type	Description
`EvaluatedAnnotation.Builder`	This builder for chaining.

clearExplanations()

public EvaluatedAnnotation.Builder clearExplanations()

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

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

Returns
Type	Description
`EvaluatedAnnotation.Builder`

clearField(Descriptors.FieldDescriptor field)

public EvaluatedAnnotation.Builder clearField(Descriptors.FieldDescriptor field)

Parameter
Name	Description
`field`	`FieldDescriptor`

Returns
Type	Description
`EvaluatedAnnotation.Builder`

Overrides

GeneratedMessageV3.Builder<BuilderType>.clearField(Descriptors.FieldDescriptor field)

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.

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
`EvaluatedAnnotation.Builder`

clearOneof(Descriptors.OneofDescriptor oneof)

public EvaluatedAnnotation.Builder clearOneof(Descriptors.OneofDescriptor oneof)

Parameter
Name	Description
`oneof`	`OneofDescriptor`

Returns
Type	Description
`EvaluatedAnnotation.Builder`

Overrides

GeneratedMessageV3.Builder<BuilderType>.clearOneof(Descriptors.OneofDescriptor oneof)

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.

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
`EvaluatedAnnotation.Builder`

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
Type	Description
`EvaluatedAnnotation.Builder`	This builder for chaining.

clone()

public EvaluatedAnnotation.Builder clone()

Returns
Type	Description
`EvaluatedAnnotation.Builder`

Overrides

GeneratedMessageV3.Builder<BuilderType>.clone()

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.

getDataItemPayloadBuilder()

public 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];

Returns
Type	Description
`Builder`

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`

getDescriptorForType()

public Descriptors.Descriptor getDescriptorForType()

Returns
Type	Description
`Descriptor`

Overrides

GeneratedMessageV3.Builder<BuilderType>.getDescriptorForType()

getErrorAnalysisAnnotations(int index)

public ErrorAnalysisAnnotation getErrorAnalysisAnnotations(int index)

Annotations of model error analysis results.

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

Parameter
Name	Description
`index`	`int`

Returns
Type	Description
`ErrorAnalysisAnnotation`

getErrorAnalysisAnnotationsBuilder(int index)

public ErrorAnalysisAnnotation.Builder getErrorAnalysisAnnotationsBuilder(int index)

Annotations of model error analysis results.

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

Parameter
Name	Description
`index`	`int`

Returns
Type	Description
`ErrorAnalysisAnnotation.Builder`

getErrorAnalysisAnnotationsBuilderList()

public List<ErrorAnalysisAnnotation.Builder> getErrorAnalysisAnnotationsBuilderList()

Annotations of model error analysis results.

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

Returns
Type	Description
`List<Builder>`

getErrorAnalysisAnnotationsCount()

public int getErrorAnalysisAnnotationsCount()

Annotations of model error analysis results.

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

Returns
Type	Description
`int`

getErrorAnalysisAnnotationsList()

public List<ErrorAnalysisAnnotation> getErrorAnalysisAnnotationsList()

Annotations of model error analysis results.

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

Returns
Type	Description
`List<? extends com.google.cloud.aiplatform.v1beta1.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.

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

Parameter
Name	Description
`index`	`int`

Returns
Type	Description
`EvaluatedAnnotationExplanation`

getExplanationsBuilder(int index)

public EvaluatedAnnotationExplanation.Builder getExplanationsBuilder(int index)

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

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

Parameter
Name	Description
`index`	`int`

Returns
Type	Description
`EvaluatedAnnotationExplanation.Builder`

getExplanationsBuilderList()

public List<EvaluatedAnnotationExplanation.Builder> getExplanationsBuilderList()

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

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

Returns
Type	Description
`List<Builder>`

getExplanationsCount()

public int getExplanationsCount()

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

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

Returns
Type	Description
`List<? extends com.google.cloud.aiplatform.v1beta1.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`

getGroundTruthsBuilder(int index)

public 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.

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
`Builder`

getGroundTruthsBuilderList()

public List<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.

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<Builder>`

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>`

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`

getPredictionsBuilder(int index)

public 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.

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
`Builder`

getPredictionsBuilderList()

public List<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.

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<Builder>`

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>`

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];

Returns
Type	Description
`EvaluatedAnnotation.EvaluatedAnnotationType`	The type.

getTypeValue()

public int getTypeValue()

Output only. Type of the EvaluatedAnnotation.

.google.cloud.aiplatform.v1beta1.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.

internalGetFieldAccessorTable()

protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()

Returns
Type	Description
`FieldAccessorTable`

Overrides

GeneratedMessageV3.Builder<BuilderType>.internalGetFieldAccessorTable()

isInitialized()

public final boolean isInitialized()

Returns
Type	Description
`boolean`

Overrides

GeneratedMessageV3.Builder<BuilderType>.isInitialized()

mergeDataItemPayload(Value value)

public EvaluatedAnnotation.Builder mergeDataItemPayload(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];

Parameter
Name	Description
`value`	`Value`

Returns
Type	Description
`EvaluatedAnnotation.Builder`

mergeFrom(EvaluatedAnnotation other)

public EvaluatedAnnotation.Builder mergeFrom(EvaluatedAnnotation other)

Parameter
Name	Description
`other`	`EvaluatedAnnotation`

Returns
Type	Description
`EvaluatedAnnotation.Builder`

mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

public EvaluatedAnnotation.Builder mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

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

Returns
Type	Description
`EvaluatedAnnotation.Builder`

Overrides

AbstractMessage.Builder<BuilderType>.mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

Exceptions
Type	Description
`IOException`

mergeFrom(Message other)

public EvaluatedAnnotation.Builder mergeFrom(Message other)

Parameter
Name	Description
`other`	`Message`

Returns
Type	Description
`EvaluatedAnnotation.Builder`

Overrides

AbstractMessage.Builder<BuilderType>.mergeFrom(Message other)

mergeUnknownFields(UnknownFieldSet unknownFields)

public final EvaluatedAnnotation.Builder mergeUnknownFields(UnknownFieldSet unknownFields)

Parameter
Name	Description
`unknownFields`	`UnknownFieldSet`

Returns
Type	Description
`EvaluatedAnnotation.Builder`

Overrides

GeneratedMessageV3.Builder<BuilderType>.mergeUnknownFields(UnknownFieldSet unknownFields)

removeErrorAnalysisAnnotations(int index)

public EvaluatedAnnotation.Builder removeErrorAnalysisAnnotations(int index)

Annotations of model error analysis results.

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

Parameter
Name	Description
`index`	`int`

Returns
Type	Description
`EvaluatedAnnotation.Builder`

removeExplanations(int index)

public EvaluatedAnnotation.Builder removeExplanations(int index)

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

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

Parameter
Name	Description
`index`	`int`

Returns
Type	Description
`EvaluatedAnnotation.Builder`

removeGroundTruths(int index)

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.

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
`EvaluatedAnnotation.Builder`

removePredictions(int index)

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.

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
`EvaluatedAnnotation.Builder`

setDataItemPayload(Value value)

public EvaluatedAnnotation.Builder setDataItemPayload(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];

Parameter
Name	Description
`value`	`Value`

Returns
Type	Description
`EvaluatedAnnotation.Builder`

setDataItemPayload(Value.Builder builderForValue)

public EvaluatedAnnotation.Builder setDataItemPayload(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];

Parameter
Name	Description
`builderForValue`	`Builder`

Returns
Type	Description
`EvaluatedAnnotation.Builder`

setErrorAnalysisAnnotations(int index, ErrorAnalysisAnnotation value)

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

Annotations of model error analysis results.

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

Parameters
Name	Description
`index`	`int`
`value`	`ErrorAnalysisAnnotation`

Returns
Type	Description
`EvaluatedAnnotation.Builder`

setErrorAnalysisAnnotations(int index, ErrorAnalysisAnnotation.Builder builderForValue)

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;

Parameters
Name	Description
`index`	`int`
`builderForValue`	`ErrorAnalysisAnnotation.Builder`

Returns
Type	Description
`EvaluatedAnnotation.Builder`

setEvaluatedDataItemViewId(String value)

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.

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

Parameter
Name	Description
`value`	`String` The evaluatedDataItemViewId to set.

Returns
Type	Description
`EvaluatedAnnotation.Builder`	This builder for chaining.

setEvaluatedDataItemViewIdBytes(ByteString value)

public EvaluatedAnnotation.Builder setEvaluatedDataItemViewIdBytes(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.

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

Parameter
Name	Description
`value`	`ByteString` The bytes for evaluatedDataItemViewId to set.

Returns
Type	Description
`EvaluatedAnnotation.Builder`	This builder for chaining.

setExplanations(int index, EvaluatedAnnotationExplanation value)

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

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

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

Parameters
Name	Description
`index`	`int`
`value`	`EvaluatedAnnotationExplanation`

Returns
Type	Description
`EvaluatedAnnotation.Builder`

setExplanations(int index, EvaluatedAnnotationExplanation.Builder builderForValue)

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

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

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

Parameters
Name	Description
`index`	`int`
`builderForValue`	`EvaluatedAnnotationExplanation.Builder`

Returns
Type	Description
`EvaluatedAnnotation.Builder`

setField(Descriptors.FieldDescriptor field, Object value)

public EvaluatedAnnotation.Builder setField(Descriptors.FieldDescriptor field, Object value)

Parameters
Name	Description
`field`	`FieldDescriptor`
`value`	`Object`

Returns
Type	Description
`EvaluatedAnnotation.Builder`

Overrides

GeneratedMessageV3.Builder<BuilderType>.setField(Descriptors.FieldDescriptor field, Object value)

setGroundTruths(int index, Value value)

public EvaluatedAnnotation.Builder setGroundTruths(int index, 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.

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];

Parameters
Name	Description
`index`	`int`
`value`	`Value`

Returns
Type	Description
`EvaluatedAnnotation.Builder`

setGroundTruths(int index, Value.Builder builderForValue)

public EvaluatedAnnotation.Builder setGroundTruths(int index, 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.

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];

Parameters
Name	Description
`index`	`int`
`builderForValue`	`Builder`

Returns
Type	Description
`EvaluatedAnnotation.Builder`

setPredictions(int index, Value value)

public EvaluatedAnnotation.Builder setPredictions(int index, 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.

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];

Parameters
Name	Description
`index`	`int`
`value`	`Value`

Returns
Type	Description
`EvaluatedAnnotation.Builder`

setPredictions(int index, Value.Builder builderForValue)

public EvaluatedAnnotation.Builder setPredictions(int index, 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.

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];

Parameters
Name	Description
`index`	`int`
`builderForValue`	`Builder`

Returns
Type	Description
`EvaluatedAnnotation.Builder`

setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)

public EvaluatedAnnotation.Builder setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)

Parameters
Name	Description
`field`	`FieldDescriptor`
`index`	`int`
`value`	`Object`

Returns
Type	Description
`EvaluatedAnnotation.Builder`

Overrides

GeneratedMessageV3.Builder<BuilderType>.setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)

setType(EvaluatedAnnotation.EvaluatedAnnotationType value)

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];

Parameter
Name	Description
`value`	`EvaluatedAnnotation.EvaluatedAnnotationType` The type to set.

Returns
Type	Description
`EvaluatedAnnotation.Builder`	This builder for chaining.

setTypeValue(int value)

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];

Parameter
Name	Description
`value`	`int` The enum numeric value on the wire for type to set.

Returns
Type	Description
`EvaluatedAnnotation.Builder`	This builder for chaining.

setUnknownFields(UnknownFieldSet unknownFields)

public final EvaluatedAnnotation.Builder setUnknownFields(UnknownFieldSet unknownFields)

Parameter
Name	Description
`unknownFields`	`UnknownFieldSet`

Returns
Type	Description
`EvaluatedAnnotation.Builder`

Overrides

GeneratedMessageV3.Builder<BuilderType>.setUnknownFields(UnknownFieldSet unknownFields)