- 3.52.0 (latest)
- 3.50.0
- 3.49.0
- 3.48.0
- 3.47.0
- 3.46.0
- 3.45.0
- 3.44.0
- 3.43.0
- 3.42.0
- 3.41.0
- 3.40.0
- 3.38.0
- 3.37.0
- 3.36.0
- 3.35.0
- 3.34.0
- 3.33.0
- 3.32.0
- 3.31.0
- 3.30.0
- 3.29.0
- 3.28.0
- 3.25.0
- 3.24.0
- 3.23.0
- 3.22.0
- 3.21.0
- 3.20.0
- 3.19.0
- 3.18.0
- 3.17.0
- 3.16.0
- 3.15.0
- 3.14.0
- 3.13.0
- 3.12.0
- 3.11.0
- 3.10.0
- 3.9.0
- 3.8.0
- 3.7.0
- 3.6.0
- 3.5.0
- 3.4.2
- 3.3.0
- 3.2.0
- 3.0.0
- 2.9.8
- 2.8.9
- 2.7.4
- 2.5.3
- 2.4.0
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.v1.EvaluatedAnnotation
Inheritance
Object > AbstractMessageLite.Builder<MessageType,BuilderType> > AbstractMessage.Builder<BuilderType> > GeneratedMessageV3.Builder > EvaluatedAnnotation.BuilderImplements
EvaluatedAnnotationOrBuilderStatic 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.v1.ErrorAnalysisAnnotation error_analysis_annotations = 9;
| Parameter | |
|---|---|
| Name | Description |
values | Iterable<? extends com.google.cloud.aiplatform.v1.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.v1.EvaluatedAnnotationExplanation explanations = 8;
| Parameter | |
|---|---|
| Name | Description |
values | Iterable<? extends com.google.cloud.aiplatform.v1.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.v1.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.v1.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.v1.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.v1.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.v1.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.v1.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. 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 |
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. 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 |
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. 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;
| 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. 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;
| 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. 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;
| 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. 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.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 | |
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 | |
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.v1.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. Can be passed in GetEvaluatedDataItemView's[] id.
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. 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;
| 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 | |
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 | |
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.v1.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 | |
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 | |
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 | |
getErrorAnalysisAnnotationsBuilder(int index)
public ErrorAnalysisAnnotation.Builder getErrorAnalysisAnnotationsBuilder(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.Builder | |
getErrorAnalysisAnnotationsBuilderList()
public List<ErrorAnalysisAnnotation.Builder> getErrorAnalysisAnnotationsBuilderList()Annotations of model error analysis results.
repeated .google.cloud.aiplatform.v1.ErrorAnalysisAnnotation error_analysis_annotations = 9;
| Returns | |
|---|---|
| Type | Description |
List<Builder> | |
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. Can be passed in GetEvaluatedDataItemView's[] id.
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. Can be passed in GetEvaluatedDataItemView's[] id.
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 | |
getExplanationsBuilder(int index)
public EvaluatedAnnotationExplanation.Builder getExplanationsBuilder(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.Builder | |
getExplanationsBuilderList()
public List<EvaluatedAnnotationExplanation.Builder> getExplanationsBuilderList()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;
| Returns | |
|---|---|
| Type | Description |
List<Builder> | |
getExplanationsCount()
public int getExplanationsCount()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;
| Returns | |
|---|---|
| Type | Description |
int | |
getExplanationsList()
public List<EvaluatedAnnotationExplanation> getExplanationsList()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;
| 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. 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 |
EvaluatedAnnotationExplanationOrBuilder | |
getExplanationsOrBuilderList()
public List<? extends EvaluatedAnnotationExplanationOrBuilder> getExplanationsOrBuilderList()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;
| 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 | |
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.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. |
internalGetFieldAccessorTable()
protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()| Returns | |
|---|---|
| Type | Description |
FieldAccessorTable | |
isInitialized()
public final boolean isInitialized()| Returns | |
|---|---|
| Type | Description |
boolean | |
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 | |
| Exceptions | |
|---|---|
| Type | Description |
IOException | |
mergeFrom(Message other)
public EvaluatedAnnotation.Builder mergeFrom(Message other)| Parameter | |
|---|---|
| Name | Description |
other | Message |
| Returns | |
|---|---|
| Type | Description |
EvaluatedAnnotation.Builder | |
mergeUnknownFields(UnknownFieldSet unknownFields)
public final EvaluatedAnnotation.Builder mergeUnknownFields(UnknownFieldSet unknownFields)| Parameter | |
|---|---|
| Name | Description |
unknownFields | UnknownFieldSet |
| Returns | |
|---|---|
| Type | Description |
EvaluatedAnnotation.Builder | |
removeErrorAnalysisAnnotations(int index)
public EvaluatedAnnotation.Builder removeErrorAnalysisAnnotations(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 |
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. 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 |
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.v1.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.v1.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. Can be passed in GetEvaluatedDataItemView's[] id.
string evaluated_data_item_view_id = 6 [(.google.api.field_behavior) = OUTPUT_ONLY];
| Parameter | |
|---|---|
| Name | Description |
value | StringThe 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. Can be passed in GetEvaluatedDataItemView's[] id.
string evaluated_data_item_view_id = 6 [(.google.api.field_behavior) = OUTPUT_ONLY];
| Parameter | |
|---|---|
| Name | Description |
value | ByteStringThe 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. 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;
| 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. 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;
| 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 | |
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 | |
setType(EvaluatedAnnotation.EvaluatedAnnotationType value)
public EvaluatedAnnotation.Builder setType(EvaluatedAnnotation.EvaluatedAnnotationType value)Output only. Type of the EvaluatedAnnotation.
.google.cloud.aiplatform.v1.EvaluatedAnnotation.EvaluatedAnnotationType type = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];
| Parameter | |
|---|---|
| Name | Description |
value | EvaluatedAnnotation.EvaluatedAnnotationTypeThe 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.v1.EvaluatedAnnotation.EvaluatedAnnotationType type = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];
| Parameter | |
|---|---|
| Name | Description |
value | intThe 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 | |