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public static final class ModelEvaluation.Builder extends GeneratedMessageV3.Builder<ModelEvaluation.Builder> implements ModelEvaluationOrBuilderEvaluation results of a model.
Protobuf type google.cloud.automl.v1beta1.ModelEvaluation
Inheritance
Object > AbstractMessageLite.Builder<MessageType,BuilderType> > AbstractMessage.Builder<BuilderType> > GeneratedMessageV3.Builder > ModelEvaluation.BuilderImplements
ModelEvaluationOrBuilderStatic Methods
getDescriptor()
public static final Descriptors.Descriptor getDescriptor()| Returns | |
|---|---|
| Type | Description |
Descriptor |
|
Methods
addRepeatedField(Descriptors.FieldDescriptor field, Object value)
public ModelEvaluation.Builder addRepeatedField(Descriptors.FieldDescriptor field, Object value)| Parameters | |
|---|---|
| Name | Description |
field |
FieldDescriptor |
value |
Object |
| Returns | |
|---|---|
| Type | Description |
ModelEvaluation.Builder |
|
build()
public ModelEvaluation build()| Returns | |
|---|---|
| Type | Description |
ModelEvaluation |
|
buildPartial()
public ModelEvaluation buildPartial()| Returns | |
|---|---|
| Type | Description |
ModelEvaluation |
|
clear()
public ModelEvaluation.Builder clear()| Returns | |
|---|---|
| Type | Description |
ModelEvaluation.Builder |
|
clearAnnotationSpecId()
public ModelEvaluation.Builder clearAnnotationSpecId()Output only. The ID of the annotation spec that the model evaluation applies to. The The ID is empty for the overall model evaluation. For Tables annotation specs in the dataset do not exist and this ID is always not set, but for CLASSIFICATION
prediction_type-s the display_name field is used.
string annotation_spec_id = 2;
| Returns | |
|---|---|
| Type | Description |
ModelEvaluation.Builder |
This builder for chaining. |
clearClassificationEvaluationMetrics()
public ModelEvaluation.Builder clearClassificationEvaluationMetrics()Model evaluation metrics for image, text, video and tables classification. Tables problem is considered a classification when the target column is CATEGORY DataType.
.google.cloud.automl.v1beta1.ClassificationEvaluationMetrics classification_evaluation_metrics = 8;
| Returns | |
|---|---|
| Type | Description |
ModelEvaluation.Builder |
|
clearCreateTime()
public ModelEvaluation.Builder clearCreateTime()Output only. Timestamp when this model evaluation was created.
.google.protobuf.Timestamp create_time = 5;
| Returns | |
|---|---|
| Type | Description |
ModelEvaluation.Builder |
|
clearDisplayName()
public ModelEvaluation.Builder clearDisplayName()Output only. The value of display_name at the moment when the model was trained. Because this field returns a value at model training time, for different models trained from the same dataset, the values may differ, since display names could had been changed between the two model's trainings. For Tables CLASSIFICATION
prediction_type-s distinct values of the target column at the moment of the model evaluation are populated here. The display_name is empty for the overall model evaluation.
string display_name = 15;
| Returns | |
|---|---|
| Type | Description |
ModelEvaluation.Builder |
This builder for chaining. |
clearEvaluatedExampleCount()
public ModelEvaluation.Builder clearEvaluatedExampleCount()Output only. The number of examples used for model evaluation, i.e. for which ground truth from time of model creation is compared against the predicted annotations created by the model. For overall ModelEvaluation (i.e. with annotation_spec_id not set) this is the total number of all examples used for evaluation. Otherwise, this is the count of examples that according to the ground truth were annotated by the
annotation_spec_id.
int32 evaluated_example_count = 6;
| Returns | |
|---|---|
| Type | Description |
ModelEvaluation.Builder |
This builder for chaining. |
clearField(Descriptors.FieldDescriptor field)
public ModelEvaluation.Builder clearField(Descriptors.FieldDescriptor field)| Parameter | |
|---|---|
| Name | Description |
field |
FieldDescriptor |
| Returns | |
|---|---|
| Type | Description |
ModelEvaluation.Builder |
|
clearImageObjectDetectionEvaluationMetrics()
public ModelEvaluation.Builder clearImageObjectDetectionEvaluationMetrics()Model evaluation metrics for image object detection.
.google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics image_object_detection_evaluation_metrics = 12;
| Returns | |
|---|---|
| Type | Description |
ModelEvaluation.Builder |
|
clearMetrics()
public ModelEvaluation.Builder clearMetrics()| Returns | |
|---|---|
| Type | Description |
ModelEvaluation.Builder |
|
clearName()
public ModelEvaluation.Builder clearName()Output only. Resource name of the model evaluation. Format:
projects/{project_id}/locations/{location_id}/models/{model_id}/modelEvaluations/{model_evaluation_id}
string name = 1;
| Returns | |
|---|---|
| Type | Description |
ModelEvaluation.Builder |
This builder for chaining. |
clearOneof(Descriptors.OneofDescriptor oneof)
public ModelEvaluation.Builder clearOneof(Descriptors.OneofDescriptor oneof)| Parameter | |
|---|---|
| Name | Description |
oneof |
OneofDescriptor |
| Returns | |
|---|---|
| Type | Description |
ModelEvaluation.Builder |
|
clearRegressionEvaluationMetrics()
public ModelEvaluation.Builder clearRegressionEvaluationMetrics()Model evaluation metrics for Tables regression. Tables problem is considered a regression when the target column has FLOAT64 DataType.
.google.cloud.automl.v1beta1.RegressionEvaluationMetrics regression_evaluation_metrics = 24;
| Returns | |
|---|---|
| Type | Description |
ModelEvaluation.Builder |
|
clearTextExtractionEvaluationMetrics()
public ModelEvaluation.Builder clearTextExtractionEvaluationMetrics()Evaluation metrics for text extraction models.
.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics text_extraction_evaluation_metrics = 13;
| Returns | |
|---|---|
| Type | Description |
ModelEvaluation.Builder |
|
clearTextSentimentEvaluationMetrics()
public ModelEvaluation.Builder clearTextSentimentEvaluationMetrics()Evaluation metrics for text sentiment models.
.google.cloud.automl.v1beta1.TextSentimentEvaluationMetrics text_sentiment_evaluation_metrics = 11;
| Returns | |
|---|---|
| Type | Description |
ModelEvaluation.Builder |
|
clearTranslationEvaluationMetrics()
public ModelEvaluation.Builder clearTranslationEvaluationMetrics()Model evaluation metrics for translation.
.google.cloud.automl.v1beta1.TranslationEvaluationMetrics translation_evaluation_metrics = 9;
| Returns | |
|---|---|
| Type | Description |
ModelEvaluation.Builder |
|
clearVideoObjectTrackingEvaluationMetrics()
public ModelEvaluation.Builder clearVideoObjectTrackingEvaluationMetrics()Model evaluation metrics for video object tracking.
.google.cloud.automl.v1beta1.VideoObjectTrackingEvaluationMetrics video_object_tracking_evaluation_metrics = 14;
| Returns | |
|---|---|
| Type | Description |
ModelEvaluation.Builder |
|
clone()
public ModelEvaluation.Builder clone()| Returns | |
|---|---|
| Type | Description |
ModelEvaluation.Builder |
|
getAnnotationSpecId()
public String getAnnotationSpecId()Output only. The ID of the annotation spec that the model evaluation applies to. The The ID is empty for the overall model evaluation. For Tables annotation specs in the dataset do not exist and this ID is always not set, but for CLASSIFICATION
prediction_type-s the display_name field is used.
string annotation_spec_id = 2;
| Returns | |
|---|---|
| Type | Description |
String |
The annotationSpecId. |
getAnnotationSpecIdBytes()
public ByteString getAnnotationSpecIdBytes()Output only. The ID of the annotation spec that the model evaluation applies to. The The ID is empty for the overall model evaluation. For Tables annotation specs in the dataset do not exist and this ID is always not set, but for CLASSIFICATION
prediction_type-s the display_name field is used.
string annotation_spec_id = 2;
| Returns | |
|---|---|
| Type | Description |
ByteString |
The bytes for annotationSpecId. |
getClassificationEvaluationMetrics()
public ClassificationProto.ClassificationEvaluationMetrics getClassificationEvaluationMetrics()Model evaluation metrics for image, text, video and tables classification. Tables problem is considered a classification when the target column is CATEGORY DataType.
.google.cloud.automl.v1beta1.ClassificationEvaluationMetrics classification_evaluation_metrics = 8;
| Returns | |
|---|---|
| Type | Description |
ClassificationProto.ClassificationEvaluationMetrics |
The classificationEvaluationMetrics. |
getClassificationEvaluationMetricsBuilder()
public ClassificationProto.ClassificationEvaluationMetrics.Builder getClassificationEvaluationMetricsBuilder()Model evaluation metrics for image, text, video and tables classification. Tables problem is considered a classification when the target column is CATEGORY DataType.
.google.cloud.automl.v1beta1.ClassificationEvaluationMetrics classification_evaluation_metrics = 8;
| Returns | |
|---|---|
| Type | Description |
ClassificationProto.ClassificationEvaluationMetrics.Builder |
|
getClassificationEvaluationMetricsOrBuilder()
public ClassificationProto.ClassificationEvaluationMetricsOrBuilder getClassificationEvaluationMetricsOrBuilder()Model evaluation metrics for image, text, video and tables classification. Tables problem is considered a classification when the target column is CATEGORY DataType.
.google.cloud.automl.v1beta1.ClassificationEvaluationMetrics classification_evaluation_metrics = 8;
| Returns | |
|---|---|
| Type | Description |
ClassificationProto.ClassificationEvaluationMetricsOrBuilder |
|
getCreateTime()
public Timestamp getCreateTime()Output only. Timestamp when this model evaluation was created.
.google.protobuf.Timestamp create_time = 5;
| Returns | |
|---|---|
| Type | Description |
Timestamp |
The createTime. |
getCreateTimeBuilder()
public Timestamp.Builder getCreateTimeBuilder()Output only. Timestamp when this model evaluation was created.
.google.protobuf.Timestamp create_time = 5;
| Returns | |
|---|---|
| Type | Description |
Builder |
|
getCreateTimeOrBuilder()
public TimestampOrBuilder getCreateTimeOrBuilder()Output only. Timestamp when this model evaluation was created.
.google.protobuf.Timestamp create_time = 5;
| Returns | |
|---|---|
| Type | Description |
TimestampOrBuilder |
|
getDefaultInstanceForType()
public ModelEvaluation getDefaultInstanceForType()| Returns | |
|---|---|
| Type | Description |
ModelEvaluation |
|
getDescriptorForType()
public Descriptors.Descriptor getDescriptorForType()| Returns | |
|---|---|
| Type | Description |
Descriptor |
|
getDisplayName()
public String getDisplayName()Output only. The value of display_name at the moment when the model was trained. Because this field returns a value at model training time, for different models trained from the same dataset, the values may differ, since display names could had been changed between the two model's trainings. For Tables CLASSIFICATION
prediction_type-s distinct values of the target column at the moment of the model evaluation are populated here. The display_name is empty for the overall model evaluation.
string display_name = 15;
| Returns | |
|---|---|
| Type | Description |
String |
The displayName. |
getDisplayNameBytes()
public ByteString getDisplayNameBytes()Output only. The value of display_name at the moment when the model was trained. Because this field returns a value at model training time, for different models trained from the same dataset, the values may differ, since display names could had been changed between the two model's trainings. For Tables CLASSIFICATION
prediction_type-s distinct values of the target column at the moment of the model evaluation are populated here. The display_name is empty for the overall model evaluation.
string display_name = 15;
| Returns | |
|---|---|
| Type | Description |
ByteString |
The bytes for displayName. |
getEvaluatedExampleCount()
public int getEvaluatedExampleCount()Output only. The number of examples used for model evaluation, i.e. for which ground truth from time of model creation is compared against the predicted annotations created by the model. For overall ModelEvaluation (i.e. with annotation_spec_id not set) this is the total number of all examples used for evaluation. Otherwise, this is the count of examples that according to the ground truth were annotated by the
annotation_spec_id.
int32 evaluated_example_count = 6;
| Returns | |
|---|---|
| Type | Description |
int |
The evaluatedExampleCount. |
getImageObjectDetectionEvaluationMetrics()
public ImageObjectDetectionEvaluationMetrics getImageObjectDetectionEvaluationMetrics()Model evaluation metrics for image object detection.
.google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics image_object_detection_evaluation_metrics = 12;
| Returns | |
|---|---|
| Type | Description |
ImageObjectDetectionEvaluationMetrics |
The imageObjectDetectionEvaluationMetrics. |
getImageObjectDetectionEvaluationMetricsBuilder()
public ImageObjectDetectionEvaluationMetrics.Builder getImageObjectDetectionEvaluationMetricsBuilder()Model evaluation metrics for image object detection.
.google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics image_object_detection_evaluation_metrics = 12;
| Returns | |
|---|---|
| Type | Description |
ImageObjectDetectionEvaluationMetrics.Builder |
|
getImageObjectDetectionEvaluationMetricsOrBuilder()
public ImageObjectDetectionEvaluationMetricsOrBuilder getImageObjectDetectionEvaluationMetricsOrBuilder()Model evaluation metrics for image object detection.
.google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics image_object_detection_evaluation_metrics = 12;
| Returns | |
|---|---|
| Type | Description |
ImageObjectDetectionEvaluationMetricsOrBuilder |
|
getMetricsCase()
public ModelEvaluation.MetricsCase getMetricsCase()| Returns | |
|---|---|
| Type | Description |
ModelEvaluation.MetricsCase |
|
getName()
public String getName()Output only. Resource name of the model evaluation. Format:
projects/{project_id}/locations/{location_id}/models/{model_id}/modelEvaluations/{model_evaluation_id}
string name = 1;
| Returns | |
|---|---|
| Type | Description |
String |
The name. |
getNameBytes()
public ByteString getNameBytes()Output only. Resource name of the model evaluation. Format:
projects/{project_id}/locations/{location_id}/models/{model_id}/modelEvaluations/{model_evaluation_id}
string name = 1;
| Returns | |
|---|---|
| Type | Description |
ByteString |
The bytes for name. |
getRegressionEvaluationMetrics()
public RegressionProto.RegressionEvaluationMetrics getRegressionEvaluationMetrics()Model evaluation metrics for Tables regression. Tables problem is considered a regression when the target column has FLOAT64 DataType.
.google.cloud.automl.v1beta1.RegressionEvaluationMetrics regression_evaluation_metrics = 24;
| Returns | |
|---|---|
| Type | Description |
RegressionProto.RegressionEvaluationMetrics |
The regressionEvaluationMetrics. |
getRegressionEvaluationMetricsBuilder()
public RegressionProto.RegressionEvaluationMetrics.Builder getRegressionEvaluationMetricsBuilder()Model evaluation metrics for Tables regression. Tables problem is considered a regression when the target column has FLOAT64 DataType.
.google.cloud.automl.v1beta1.RegressionEvaluationMetrics regression_evaluation_metrics = 24;
| Returns | |
|---|---|
| Type | Description |
RegressionProto.RegressionEvaluationMetrics.Builder |
|
getRegressionEvaluationMetricsOrBuilder()
public RegressionProto.RegressionEvaluationMetricsOrBuilder getRegressionEvaluationMetricsOrBuilder()Model evaluation metrics for Tables regression. Tables problem is considered a regression when the target column has FLOAT64 DataType.
.google.cloud.automl.v1beta1.RegressionEvaluationMetrics regression_evaluation_metrics = 24;
| Returns | |
|---|---|
| Type | Description |
RegressionProto.RegressionEvaluationMetricsOrBuilder |
|
getTextExtractionEvaluationMetrics()
public TextExtractionEvaluationMetrics getTextExtractionEvaluationMetrics()Evaluation metrics for text extraction models.
.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics text_extraction_evaluation_metrics = 13;
| Returns | |
|---|---|
| Type | Description |
TextExtractionEvaluationMetrics |
The textExtractionEvaluationMetrics. |
getTextExtractionEvaluationMetricsBuilder()
public TextExtractionEvaluationMetrics.Builder getTextExtractionEvaluationMetricsBuilder()Evaluation metrics for text extraction models.
.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics text_extraction_evaluation_metrics = 13;
| Returns | |
|---|---|
| Type | Description |
TextExtractionEvaluationMetrics.Builder |
|
getTextExtractionEvaluationMetricsOrBuilder()
public TextExtractionEvaluationMetricsOrBuilder getTextExtractionEvaluationMetricsOrBuilder()Evaluation metrics for text extraction models.
.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics text_extraction_evaluation_metrics = 13;
| Returns | |
|---|---|
| Type | Description |
TextExtractionEvaluationMetricsOrBuilder |
|
getTextSentimentEvaluationMetrics()
public TextSentimentProto.TextSentimentEvaluationMetrics getTextSentimentEvaluationMetrics()Evaluation metrics for text sentiment models.
.google.cloud.automl.v1beta1.TextSentimentEvaluationMetrics text_sentiment_evaluation_metrics = 11;
| Returns | |
|---|---|
| Type | Description |
TextSentimentProto.TextSentimentEvaluationMetrics |
The textSentimentEvaluationMetrics. |
getTextSentimentEvaluationMetricsBuilder()
public TextSentimentProto.TextSentimentEvaluationMetrics.Builder getTextSentimentEvaluationMetricsBuilder()Evaluation metrics for text sentiment models.
.google.cloud.automl.v1beta1.TextSentimentEvaluationMetrics text_sentiment_evaluation_metrics = 11;
| Returns | |
|---|---|
| Type | Description |
TextSentimentProto.TextSentimentEvaluationMetrics.Builder |
|
getTextSentimentEvaluationMetricsOrBuilder()
public TextSentimentProto.TextSentimentEvaluationMetricsOrBuilder getTextSentimentEvaluationMetricsOrBuilder()Evaluation metrics for text sentiment models.
.google.cloud.automl.v1beta1.TextSentimentEvaluationMetrics text_sentiment_evaluation_metrics = 11;
| Returns | |
|---|---|
| Type | Description |
TextSentimentProto.TextSentimentEvaluationMetricsOrBuilder |
|
getTranslationEvaluationMetrics()
public TranslationEvaluationMetrics getTranslationEvaluationMetrics()Model evaluation metrics for translation.
.google.cloud.automl.v1beta1.TranslationEvaluationMetrics translation_evaluation_metrics = 9;
| Returns | |
|---|---|
| Type | Description |
TranslationEvaluationMetrics |
The translationEvaluationMetrics. |
getTranslationEvaluationMetricsBuilder()
public TranslationEvaluationMetrics.Builder getTranslationEvaluationMetricsBuilder()Model evaluation metrics for translation.
.google.cloud.automl.v1beta1.TranslationEvaluationMetrics translation_evaluation_metrics = 9;
| Returns | |
|---|---|
| Type | Description |
TranslationEvaluationMetrics.Builder |
|
getTranslationEvaluationMetricsOrBuilder()
public TranslationEvaluationMetricsOrBuilder getTranslationEvaluationMetricsOrBuilder()Model evaluation metrics for translation.
.google.cloud.automl.v1beta1.TranslationEvaluationMetrics translation_evaluation_metrics = 9;
| Returns | |
|---|---|
| Type | Description |
TranslationEvaluationMetricsOrBuilder |
|
getVideoObjectTrackingEvaluationMetrics()
public VideoObjectTrackingEvaluationMetrics getVideoObjectTrackingEvaluationMetrics()Model evaluation metrics for video object tracking.
.google.cloud.automl.v1beta1.VideoObjectTrackingEvaluationMetrics video_object_tracking_evaluation_metrics = 14;
| Returns | |
|---|---|
| Type | Description |
VideoObjectTrackingEvaluationMetrics |
The videoObjectTrackingEvaluationMetrics. |
getVideoObjectTrackingEvaluationMetricsBuilder()
public VideoObjectTrackingEvaluationMetrics.Builder getVideoObjectTrackingEvaluationMetricsBuilder()Model evaluation metrics for video object tracking.
.google.cloud.automl.v1beta1.VideoObjectTrackingEvaluationMetrics video_object_tracking_evaluation_metrics = 14;
| Returns | |
|---|---|
| Type | Description |
VideoObjectTrackingEvaluationMetrics.Builder |
|
getVideoObjectTrackingEvaluationMetricsOrBuilder()
public VideoObjectTrackingEvaluationMetricsOrBuilder getVideoObjectTrackingEvaluationMetricsOrBuilder()Model evaluation metrics for video object tracking.
.google.cloud.automl.v1beta1.VideoObjectTrackingEvaluationMetrics video_object_tracking_evaluation_metrics = 14;
| Returns | |
|---|---|
| Type | Description |
VideoObjectTrackingEvaluationMetricsOrBuilder |
|
hasClassificationEvaluationMetrics()
public boolean hasClassificationEvaluationMetrics()Model evaluation metrics for image, text, video and tables classification. Tables problem is considered a classification when the target column is CATEGORY DataType.
.google.cloud.automl.v1beta1.ClassificationEvaluationMetrics classification_evaluation_metrics = 8;
| Returns | |
|---|---|
| Type | Description |
boolean |
Whether the classificationEvaluationMetrics field is set. |
hasCreateTime()
public boolean hasCreateTime()Output only. Timestamp when this model evaluation was created.
.google.protobuf.Timestamp create_time = 5;
| Returns | |
|---|---|
| Type | Description |
boolean |
Whether the createTime field is set. |
hasImageObjectDetectionEvaluationMetrics()
public boolean hasImageObjectDetectionEvaluationMetrics()Model evaluation metrics for image object detection.
.google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics image_object_detection_evaluation_metrics = 12;
| Returns | |
|---|---|
| Type | Description |
boolean |
Whether the imageObjectDetectionEvaluationMetrics field is set. |
hasRegressionEvaluationMetrics()
public boolean hasRegressionEvaluationMetrics()Model evaluation metrics for Tables regression. Tables problem is considered a regression when the target column has FLOAT64 DataType.
.google.cloud.automl.v1beta1.RegressionEvaluationMetrics regression_evaluation_metrics = 24;
| Returns | |
|---|---|
| Type | Description |
boolean |
Whether the regressionEvaluationMetrics field is set. |
hasTextExtractionEvaluationMetrics()
public boolean hasTextExtractionEvaluationMetrics()Evaluation metrics for text extraction models.
.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics text_extraction_evaluation_metrics = 13;
| Returns | |
|---|---|
| Type | Description |
boolean |
Whether the textExtractionEvaluationMetrics field is set. |
hasTextSentimentEvaluationMetrics()
public boolean hasTextSentimentEvaluationMetrics()Evaluation metrics for text sentiment models.
.google.cloud.automl.v1beta1.TextSentimentEvaluationMetrics text_sentiment_evaluation_metrics = 11;
| Returns | |
|---|---|
| Type | Description |
boolean |
Whether the textSentimentEvaluationMetrics field is set. |
hasTranslationEvaluationMetrics()
public boolean hasTranslationEvaluationMetrics()Model evaluation metrics for translation.
.google.cloud.automl.v1beta1.TranslationEvaluationMetrics translation_evaluation_metrics = 9;
| Returns | |
|---|---|
| Type | Description |
boolean |
Whether the translationEvaluationMetrics field is set. |
hasVideoObjectTrackingEvaluationMetrics()
public boolean hasVideoObjectTrackingEvaluationMetrics()Model evaluation metrics for video object tracking.
.google.cloud.automl.v1beta1.VideoObjectTrackingEvaluationMetrics video_object_tracking_evaluation_metrics = 14;
| Returns | |
|---|---|
| Type | Description |
boolean |
Whether the videoObjectTrackingEvaluationMetrics field is set. |
internalGetFieldAccessorTable()
protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()| Returns | |
|---|---|
| Type | Description |
FieldAccessorTable |
|
isInitialized()
public final boolean isInitialized()| Returns | |
|---|---|
| Type | Description |
boolean |
|
mergeClassificationEvaluationMetrics(ClassificationProto.ClassificationEvaluationMetrics value)
public ModelEvaluation.Builder mergeClassificationEvaluationMetrics(ClassificationProto.ClassificationEvaluationMetrics value)Model evaluation metrics for image, text, video and tables classification. Tables problem is considered a classification when the target column is CATEGORY DataType.
.google.cloud.automl.v1beta1.ClassificationEvaluationMetrics classification_evaluation_metrics = 8;
| Parameter | |
|---|---|
| Name | Description |
value |
ClassificationProto.ClassificationEvaluationMetrics |
| Returns | |
|---|---|
| Type | Description |
ModelEvaluation.Builder |
|
mergeCreateTime(Timestamp value)
public ModelEvaluation.Builder mergeCreateTime(Timestamp value)Output only. Timestamp when this model evaluation was created.
.google.protobuf.Timestamp create_time = 5;
| Parameter | |
|---|---|
| Name | Description |
value |
Timestamp |
| Returns | |
|---|---|
| Type | Description |
ModelEvaluation.Builder |
|
mergeFrom(ModelEvaluation other)
public ModelEvaluation.Builder mergeFrom(ModelEvaluation other)| Parameter | |
|---|---|
| Name | Description |
other |
ModelEvaluation |
| Returns | |
|---|---|
| Type | Description |
ModelEvaluation.Builder |
|
mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
public ModelEvaluation.Builder mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)| Parameters | |
|---|---|
| Name | Description |
input |
CodedInputStream |
extensionRegistry |
ExtensionRegistryLite |
| Returns | |
|---|---|
| Type | Description |
ModelEvaluation.Builder |
|
| Exceptions | |
|---|---|
| Type | Description |
IOException |
|
mergeFrom(Message other)
public ModelEvaluation.Builder mergeFrom(Message other)| Parameter | |
|---|---|
| Name | Description |
other |
Message |
| Returns | |
|---|---|
| Type | Description |
ModelEvaluation.Builder |
|
mergeImageObjectDetectionEvaluationMetrics(ImageObjectDetectionEvaluationMetrics value)
public ModelEvaluation.Builder mergeImageObjectDetectionEvaluationMetrics(ImageObjectDetectionEvaluationMetrics value)Model evaluation metrics for image object detection.
.google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics image_object_detection_evaluation_metrics = 12;
| Parameter | |
|---|---|
| Name | Description |
value |
ImageObjectDetectionEvaluationMetrics |
| Returns | |
|---|---|
| Type | Description |
ModelEvaluation.Builder |
|
mergeRegressionEvaluationMetrics(RegressionProto.RegressionEvaluationMetrics value)
public ModelEvaluation.Builder mergeRegressionEvaluationMetrics(RegressionProto.RegressionEvaluationMetrics value)Model evaluation metrics for Tables regression. Tables problem is considered a regression when the target column has FLOAT64 DataType.
.google.cloud.automl.v1beta1.RegressionEvaluationMetrics regression_evaluation_metrics = 24;
| Parameter | |
|---|---|
| Name | Description |
value |
RegressionProto.RegressionEvaluationMetrics |
| Returns | |
|---|---|
| Type | Description |
ModelEvaluation.Builder |
|
mergeTextExtractionEvaluationMetrics(TextExtractionEvaluationMetrics value)
public ModelEvaluation.Builder mergeTextExtractionEvaluationMetrics(TextExtractionEvaluationMetrics value)Evaluation metrics for text extraction models.
.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics text_extraction_evaluation_metrics = 13;
| Parameter | |
|---|---|
| Name | Description |
value |
TextExtractionEvaluationMetrics |
| Returns | |
|---|---|
| Type | Description |
ModelEvaluation.Builder |
|
mergeTextSentimentEvaluationMetrics(TextSentimentProto.TextSentimentEvaluationMetrics value)
public ModelEvaluation.Builder mergeTextSentimentEvaluationMetrics(TextSentimentProto.TextSentimentEvaluationMetrics value)Evaluation metrics for text sentiment models.
.google.cloud.automl.v1beta1.TextSentimentEvaluationMetrics text_sentiment_evaluation_metrics = 11;
| Parameter | |
|---|---|
| Name | Description |
value |
TextSentimentProto.TextSentimentEvaluationMetrics |
| Returns | |
|---|---|
| Type | Description |
ModelEvaluation.Builder |
|
mergeTranslationEvaluationMetrics(TranslationEvaluationMetrics value)
public ModelEvaluation.Builder mergeTranslationEvaluationMetrics(TranslationEvaluationMetrics value)Model evaluation metrics for translation.
.google.cloud.automl.v1beta1.TranslationEvaluationMetrics translation_evaluation_metrics = 9;
| Parameter | |
|---|---|
| Name | Description |
value |
TranslationEvaluationMetrics |
| Returns | |
|---|---|
| Type | Description |
ModelEvaluation.Builder |
|
mergeUnknownFields(UnknownFieldSet unknownFields)
public final ModelEvaluation.Builder mergeUnknownFields(UnknownFieldSet unknownFields)| Parameter | |
|---|---|
| Name | Description |
unknownFields |
UnknownFieldSet |
| Returns | |
|---|---|
| Type | Description |
ModelEvaluation.Builder |
|
mergeVideoObjectTrackingEvaluationMetrics(VideoObjectTrackingEvaluationMetrics value)
public ModelEvaluation.Builder mergeVideoObjectTrackingEvaluationMetrics(VideoObjectTrackingEvaluationMetrics value)Model evaluation metrics for video object tracking.
.google.cloud.automl.v1beta1.VideoObjectTrackingEvaluationMetrics video_object_tracking_evaluation_metrics = 14;
| Parameter | |
|---|---|
| Name | Description |
value |
VideoObjectTrackingEvaluationMetrics |
| Returns | |
|---|---|
| Type | Description |
ModelEvaluation.Builder |
|
setAnnotationSpecId(String value)
public ModelEvaluation.Builder setAnnotationSpecId(String value)Output only. The ID of the annotation spec that the model evaluation applies to. The The ID is empty for the overall model evaluation. For Tables annotation specs in the dataset do not exist and this ID is always not set, but for CLASSIFICATION
prediction_type-s the display_name field is used.
string annotation_spec_id = 2;
| Parameter | |
|---|---|
| Name | Description |
value |
StringThe annotationSpecId to set. |
| Returns | |
|---|---|
| Type | Description |
ModelEvaluation.Builder |
This builder for chaining. |
setAnnotationSpecIdBytes(ByteString value)
public ModelEvaluation.Builder setAnnotationSpecIdBytes(ByteString value)Output only. The ID of the annotation spec that the model evaluation applies to. The The ID is empty for the overall model evaluation. For Tables annotation specs in the dataset do not exist and this ID is always not set, but for CLASSIFICATION
prediction_type-s the display_name field is used.
string annotation_spec_id = 2;
| Parameter | |
|---|---|
| Name | Description |
value |
ByteStringThe bytes for annotationSpecId to set. |
| Returns | |
|---|---|
| Type | Description |
ModelEvaluation.Builder |
This builder for chaining. |
setClassificationEvaluationMetrics(ClassificationProto.ClassificationEvaluationMetrics value)
public ModelEvaluation.Builder setClassificationEvaluationMetrics(ClassificationProto.ClassificationEvaluationMetrics value)Model evaluation metrics for image, text, video and tables classification. Tables problem is considered a classification when the target column is CATEGORY DataType.
.google.cloud.automl.v1beta1.ClassificationEvaluationMetrics classification_evaluation_metrics = 8;
| Parameter | |
|---|---|
| Name | Description |
value |
ClassificationProto.ClassificationEvaluationMetrics |
| Returns | |
|---|---|
| Type | Description |
ModelEvaluation.Builder |
|
setClassificationEvaluationMetrics(ClassificationProto.ClassificationEvaluationMetrics.Builder builderForValue)
public ModelEvaluation.Builder setClassificationEvaluationMetrics(ClassificationProto.ClassificationEvaluationMetrics.Builder builderForValue)Model evaluation metrics for image, text, video and tables classification. Tables problem is considered a classification when the target column is CATEGORY DataType.
.google.cloud.automl.v1beta1.ClassificationEvaluationMetrics classification_evaluation_metrics = 8;
| Parameter | |
|---|---|
| Name | Description |
builderForValue |
ClassificationProto.ClassificationEvaluationMetrics.Builder |
| Returns | |
|---|---|
| Type | Description |
ModelEvaluation.Builder |
|
setCreateTime(Timestamp value)
public ModelEvaluation.Builder setCreateTime(Timestamp value)Output only. Timestamp when this model evaluation was created.
.google.protobuf.Timestamp create_time = 5;
| Parameter | |
|---|---|
| Name | Description |
value |
Timestamp |
| Returns | |
|---|---|
| Type | Description |
ModelEvaluation.Builder |
|
setCreateTime(Timestamp.Builder builderForValue)
public ModelEvaluation.Builder setCreateTime(Timestamp.Builder builderForValue)Output only. Timestamp when this model evaluation was created.
.google.protobuf.Timestamp create_time = 5;
| Parameter | |
|---|---|
| Name | Description |
builderForValue |
Builder |
| Returns | |
|---|---|
| Type | Description |
ModelEvaluation.Builder |
|
setDisplayName(String value)
public ModelEvaluation.Builder setDisplayName(String value)Output only. The value of display_name at the moment when the model was trained. Because this field returns a value at model training time, for different models trained from the same dataset, the values may differ, since display names could had been changed between the two model's trainings. For Tables CLASSIFICATION
prediction_type-s distinct values of the target column at the moment of the model evaluation are populated here. The display_name is empty for the overall model evaluation.
string display_name = 15;
| Parameter | |
|---|---|
| Name | Description |
value |
StringThe displayName to set. |
| Returns | |
|---|---|
| Type | Description |
ModelEvaluation.Builder |
This builder for chaining. |
setDisplayNameBytes(ByteString value)
public ModelEvaluation.Builder setDisplayNameBytes(ByteString value)Output only. The value of display_name at the moment when the model was trained. Because this field returns a value at model training time, for different models trained from the same dataset, the values may differ, since display names could had been changed between the two model's trainings. For Tables CLASSIFICATION
prediction_type-s distinct values of the target column at the moment of the model evaluation are populated here. The display_name is empty for the overall model evaluation.
string display_name = 15;
| Parameter | |
|---|---|
| Name | Description |
value |
ByteStringThe bytes for displayName to set. |
| Returns | |
|---|---|
| Type | Description |
ModelEvaluation.Builder |
This builder for chaining. |
setEvaluatedExampleCount(int value)
public ModelEvaluation.Builder setEvaluatedExampleCount(int value)Output only. The number of examples used for model evaluation, i.e. for which ground truth from time of model creation is compared against the predicted annotations created by the model. For overall ModelEvaluation (i.e. with annotation_spec_id not set) this is the total number of all examples used for evaluation. Otherwise, this is the count of examples that according to the ground truth were annotated by the
annotation_spec_id.
int32 evaluated_example_count = 6;
| Parameter | |
|---|---|
| Name | Description |
value |
intThe evaluatedExampleCount to set. |
| Returns | |
|---|---|
| Type | Description |
ModelEvaluation.Builder |
This builder for chaining. |
setField(Descriptors.FieldDescriptor field, Object value)
public ModelEvaluation.Builder setField(Descriptors.FieldDescriptor field, Object value)| Parameters | |
|---|---|
| Name | Description |
field |
FieldDescriptor |
value |
Object |
| Returns | |
|---|---|
| Type | Description |
ModelEvaluation.Builder |
|
setImageObjectDetectionEvaluationMetrics(ImageObjectDetectionEvaluationMetrics value)
public ModelEvaluation.Builder setImageObjectDetectionEvaluationMetrics(ImageObjectDetectionEvaluationMetrics value)Model evaluation metrics for image object detection.
.google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics image_object_detection_evaluation_metrics = 12;
| Parameter | |
|---|---|
| Name | Description |
value |
ImageObjectDetectionEvaluationMetrics |
| Returns | |
|---|---|
| Type | Description |
ModelEvaluation.Builder |
|
setImageObjectDetectionEvaluationMetrics(ImageObjectDetectionEvaluationMetrics.Builder builderForValue)
public ModelEvaluation.Builder setImageObjectDetectionEvaluationMetrics(ImageObjectDetectionEvaluationMetrics.Builder builderForValue)Model evaluation metrics for image object detection.
.google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics image_object_detection_evaluation_metrics = 12;
| Parameter | |
|---|---|
| Name | Description |
builderForValue |
ImageObjectDetectionEvaluationMetrics.Builder |
| Returns | |
|---|---|
| Type | Description |
ModelEvaluation.Builder |
|
setName(String value)
public ModelEvaluation.Builder setName(String value)Output only. Resource name of the model evaluation. Format:
projects/{project_id}/locations/{location_id}/models/{model_id}/modelEvaluations/{model_evaluation_id}
string name = 1;
| Parameter | |
|---|---|
| Name | Description |
value |
StringThe name to set. |
| Returns | |
|---|---|
| Type | Description |
ModelEvaluation.Builder |
This builder for chaining. |
setNameBytes(ByteString value)
public ModelEvaluation.Builder setNameBytes(ByteString value)Output only. Resource name of the model evaluation. Format:
projects/{project_id}/locations/{location_id}/models/{model_id}/modelEvaluations/{model_evaluation_id}
string name = 1;
| Parameter | |
|---|---|
| Name | Description |
value |
ByteStringThe bytes for name to set. |
| Returns | |
|---|---|
| Type | Description |
ModelEvaluation.Builder |
This builder for chaining. |
setRegressionEvaluationMetrics(RegressionProto.RegressionEvaluationMetrics value)
public ModelEvaluation.Builder setRegressionEvaluationMetrics(RegressionProto.RegressionEvaluationMetrics value)Model evaluation metrics for Tables regression. Tables problem is considered a regression when the target column has FLOAT64 DataType.
.google.cloud.automl.v1beta1.RegressionEvaluationMetrics regression_evaluation_metrics = 24;
| Parameter | |
|---|---|
| Name | Description |
value |
RegressionProto.RegressionEvaluationMetrics |
| Returns | |
|---|---|
| Type | Description |
ModelEvaluation.Builder |
|
setRegressionEvaluationMetrics(RegressionProto.RegressionEvaluationMetrics.Builder builderForValue)
public ModelEvaluation.Builder setRegressionEvaluationMetrics(RegressionProto.RegressionEvaluationMetrics.Builder builderForValue)Model evaluation metrics for Tables regression. Tables problem is considered a regression when the target column has FLOAT64 DataType.
.google.cloud.automl.v1beta1.RegressionEvaluationMetrics regression_evaluation_metrics = 24;
| Parameter | |
|---|---|
| Name | Description |
builderForValue |
RegressionProto.RegressionEvaluationMetrics.Builder |
| Returns | |
|---|---|
| Type | Description |
ModelEvaluation.Builder |
|
setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)
public ModelEvaluation.Builder setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)| Parameters | |
|---|---|
| Name | Description |
field |
FieldDescriptor |
index |
int |
value |
Object |
| Returns | |
|---|---|
| Type | Description |
ModelEvaluation.Builder |
|
setTextExtractionEvaluationMetrics(TextExtractionEvaluationMetrics value)
public ModelEvaluation.Builder setTextExtractionEvaluationMetrics(TextExtractionEvaluationMetrics value)Evaluation metrics for text extraction models.
.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics text_extraction_evaluation_metrics = 13;
| Parameter | |
|---|---|
| Name | Description |
value |
TextExtractionEvaluationMetrics |
| Returns | |
|---|---|
| Type | Description |
ModelEvaluation.Builder |
|
setTextExtractionEvaluationMetrics(TextExtractionEvaluationMetrics.Builder builderForValue)
public ModelEvaluation.Builder setTextExtractionEvaluationMetrics(TextExtractionEvaluationMetrics.Builder builderForValue)Evaluation metrics for text extraction models.
.google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics text_extraction_evaluation_metrics = 13;
| Parameter | |
|---|---|
| Name | Description |
builderForValue |
TextExtractionEvaluationMetrics.Builder |
| Returns | |
|---|---|
| Type | Description |
ModelEvaluation.Builder |
|
setTextSentimentEvaluationMetrics(TextSentimentProto.TextSentimentEvaluationMetrics value)
public ModelEvaluation.Builder setTextSentimentEvaluationMetrics(TextSentimentProto.TextSentimentEvaluationMetrics value)Evaluation metrics for text sentiment models.
.google.cloud.automl.v1beta1.TextSentimentEvaluationMetrics text_sentiment_evaluation_metrics = 11;
| Parameter | |
|---|---|
| Name | Description |
value |
TextSentimentProto.TextSentimentEvaluationMetrics |
| Returns | |
|---|---|
| Type | Description |
ModelEvaluation.Builder |
|
setTextSentimentEvaluationMetrics(TextSentimentProto.TextSentimentEvaluationMetrics.Builder builderForValue)
public ModelEvaluation.Builder setTextSentimentEvaluationMetrics(TextSentimentProto.TextSentimentEvaluationMetrics.Builder builderForValue)Evaluation metrics for text sentiment models.
.google.cloud.automl.v1beta1.TextSentimentEvaluationMetrics text_sentiment_evaluation_metrics = 11;
| Parameter | |
|---|---|
| Name | Description |
builderForValue |
TextSentimentProto.TextSentimentEvaluationMetrics.Builder |
| Returns | |
|---|---|
| Type | Description |
ModelEvaluation.Builder |
|
setTranslationEvaluationMetrics(TranslationEvaluationMetrics value)
public ModelEvaluation.Builder setTranslationEvaluationMetrics(TranslationEvaluationMetrics value)Model evaluation metrics for translation.
.google.cloud.automl.v1beta1.TranslationEvaluationMetrics translation_evaluation_metrics = 9;
| Parameter | |
|---|---|
| Name | Description |
value |
TranslationEvaluationMetrics |
| Returns | |
|---|---|
| Type | Description |
ModelEvaluation.Builder |
|
setTranslationEvaluationMetrics(TranslationEvaluationMetrics.Builder builderForValue)
public ModelEvaluation.Builder setTranslationEvaluationMetrics(TranslationEvaluationMetrics.Builder builderForValue)Model evaluation metrics for translation.
.google.cloud.automl.v1beta1.TranslationEvaluationMetrics translation_evaluation_metrics = 9;
| Parameter | |
|---|---|
| Name | Description |
builderForValue |
TranslationEvaluationMetrics.Builder |
| Returns | |
|---|---|
| Type | Description |
ModelEvaluation.Builder |
|
setUnknownFields(UnknownFieldSet unknownFields)
public final ModelEvaluation.Builder setUnknownFields(UnknownFieldSet unknownFields)| Parameter | |
|---|---|
| Name | Description |
unknownFields |
UnknownFieldSet |
| Returns | |
|---|---|
| Type | Description |
ModelEvaluation.Builder |
|
setVideoObjectTrackingEvaluationMetrics(VideoObjectTrackingEvaluationMetrics value)
public ModelEvaluation.Builder setVideoObjectTrackingEvaluationMetrics(VideoObjectTrackingEvaluationMetrics value)Model evaluation metrics for video object tracking.
.google.cloud.automl.v1beta1.VideoObjectTrackingEvaluationMetrics video_object_tracking_evaluation_metrics = 14;
| Parameter | |
|---|---|
| Name | Description |
value |
VideoObjectTrackingEvaluationMetrics |
| Returns | |
|---|---|
| Type | Description |
ModelEvaluation.Builder |
|
setVideoObjectTrackingEvaluationMetrics(VideoObjectTrackingEvaluationMetrics.Builder builderForValue)
public ModelEvaluation.Builder setVideoObjectTrackingEvaluationMetrics(VideoObjectTrackingEvaluationMetrics.Builder builderForValue)Model evaluation metrics for video object tracking.
.google.cloud.automl.v1beta1.VideoObjectTrackingEvaluationMetrics video_object_tracking_evaluation_metrics = 14;
| Parameter | |
|---|---|
| Name | Description |
builderForValue |
VideoObjectTrackingEvaluationMetrics.Builder |
| Returns | |
|---|---|
| Type | Description |
ModelEvaluation.Builder |
|