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public interface ModelEvaluationOrBuilder extends MessageOrBuilder
Implements
MessageOrBuilderMethods
getCreateTime()
public abstract Timestamp getCreateTime()
Output only. Timestamp when this ModelEvaluation was created.
.google.protobuf.Timestamp create_time = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
Type | Description |
Timestamp | The createTime. |
getCreateTimeOrBuilder()
public abstract TimestampOrBuilder getCreateTimeOrBuilder()
Output only. Timestamp when this ModelEvaluation was created.
.google.protobuf.Timestamp create_time = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
Type | Description |
TimestampOrBuilder |
getExplanationSpecs(int index)
public abstract ModelEvaluation.ModelEvaluationExplanationSpec getExplanationSpecs(int index)
Output only. Describes the values of ExplanationSpec that are used for explaining the predicted values on the evaluated data.
repeated .google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec explanation_specs = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
Name | Description |
index | int |
Type | Description |
ModelEvaluation.ModelEvaluationExplanationSpec |
getExplanationSpecsCount()
public abstract int getExplanationSpecsCount()
Output only. Describes the values of ExplanationSpec that are used for explaining the predicted values on the evaluated data.
repeated .google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec explanation_specs = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
Type | Description |
int |
getExplanationSpecsList()
public abstract List<ModelEvaluation.ModelEvaluationExplanationSpec> getExplanationSpecsList()
Output only. Describes the values of ExplanationSpec that are used for explaining the predicted values on the evaluated data.
repeated .google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec explanation_specs = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
Type | Description |
List<ModelEvaluationExplanationSpec> |
getExplanationSpecsOrBuilder(int index)
public abstract ModelEvaluation.ModelEvaluationExplanationSpecOrBuilder getExplanationSpecsOrBuilder(int index)
Output only. Describes the values of ExplanationSpec that are used for explaining the predicted values on the evaluated data.
repeated .google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec explanation_specs = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
Name | Description |
index | int |
Type | Description |
ModelEvaluation.ModelEvaluationExplanationSpecOrBuilder |
getExplanationSpecsOrBuilderList()
public abstract List<? extends ModelEvaluation.ModelEvaluationExplanationSpecOrBuilder> getExplanationSpecsOrBuilderList()
Output only. Describes the values of ExplanationSpec that are used for explaining the predicted values on the evaluated data.
repeated .google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec explanation_specs = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
Type | Description |
List<? extends com.google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpecOrBuilder> |
getMetrics()
public abstract Value getMetrics()
Output only. Evaluation metrics of the Model. The schema of the metrics is stored in metrics_schema_uri
.google.protobuf.Value metrics = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];
Type | Description |
Value | The metrics. |
getMetricsOrBuilder()
public abstract ValueOrBuilder getMetricsOrBuilder()
Output only. Evaluation metrics of the Model. The schema of the metrics is stored in metrics_schema_uri
.google.protobuf.Value metrics = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];
Type | Description |
ValueOrBuilder |
getMetricsSchemaUri()
public abstract String getMetricsSchemaUri()
Output only. Points to a YAML file stored on Google Cloud Storage describing the metrics of this ModelEvaluation. The schema is defined as an OpenAPI 3.0.2 Schema Object.
string metrics_schema_uri = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];
Type | Description |
String | The metricsSchemaUri. |
getMetricsSchemaUriBytes()
public abstract ByteString getMetricsSchemaUriBytes()
Output only. Points to a YAML file stored on Google Cloud Storage describing the metrics of this ModelEvaluation. The schema is defined as an OpenAPI 3.0.2 Schema Object.
string metrics_schema_uri = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];
Type | Description |
ByteString | The bytes for metricsSchemaUri. |
getModelExplanation()
public abstract ModelExplanation getModelExplanation()
Output only. Aggregated explanation metrics for the Model's prediction output over the data this ModelEvaluation uses. This field is populated only if the Model is evaluated with explanations, and only for AutoML tabular Models.
.google.cloud.aiplatform.v1beta1.ModelExplanation model_explanation = 8 [(.google.api.field_behavior) = OUTPUT_ONLY];
Type | Description |
ModelExplanation | The modelExplanation. |
getModelExplanationOrBuilder()
public abstract ModelExplanationOrBuilder getModelExplanationOrBuilder()
Output only. Aggregated explanation metrics for the Model's prediction output over the data this ModelEvaluation uses. This field is populated only if the Model is evaluated with explanations, and only for AutoML tabular Models.
.google.cloud.aiplatform.v1beta1.ModelExplanation model_explanation = 8 [(.google.api.field_behavior) = OUTPUT_ONLY];
Type | Description |
ModelExplanationOrBuilder |
getName()
public abstract String getName()
Output only. The resource name of the ModelEvaluation.
string name = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];
Type | Description |
String | The name. |
getNameBytes()
public abstract ByteString getNameBytes()
Output only. The resource name of the ModelEvaluation.
string name = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];
Type | Description |
ByteString | The bytes for name. |
getSliceDimensions(int index)
public abstract String getSliceDimensions(int index)
Output only. All possible dimensions of
ModelEvaluationSlices. The dimensions can be used as the filter of the
ModelService.ListModelEvaluationSlices request, in the form of
slice.dimension = <dimension>
.
repeated string slice_dimensions = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];
Name | Description |
index | int The index of the element to return. |
Type | Description |
String | The sliceDimensions at the given index. |
getSliceDimensionsBytes(int index)
public abstract ByteString getSliceDimensionsBytes(int index)
Output only. All possible dimensions of
ModelEvaluationSlices. The dimensions can be used as the filter of the
ModelService.ListModelEvaluationSlices request, in the form of
slice.dimension = <dimension>
.
repeated string slice_dimensions = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];
Name | Description |
index | int The index of the value to return. |
Type | Description |
ByteString | The bytes of the sliceDimensions at the given index. |
getSliceDimensionsCount()
public abstract int getSliceDimensionsCount()
Output only. All possible dimensions of
ModelEvaluationSlices. The dimensions can be used as the filter of the
ModelService.ListModelEvaluationSlices request, in the form of
slice.dimension = <dimension>
.
repeated string slice_dimensions = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];
Type | Description |
int | The count of sliceDimensions. |
getSliceDimensionsList()
public abstract List<String> getSliceDimensionsList()
Output only. All possible dimensions of
ModelEvaluationSlices. The dimensions can be used as the filter of the
ModelService.ListModelEvaluationSlices request, in the form of
slice.dimension = <dimension>
.
repeated string slice_dimensions = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];
Type | Description |
List<String> | A list containing the sliceDimensions. |
hasCreateTime()
public abstract boolean hasCreateTime()
Output only. Timestamp when this ModelEvaluation was created.
.google.protobuf.Timestamp create_time = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
Type | Description |
boolean | Whether the createTime field is set. |
hasMetrics()
public abstract boolean hasMetrics()
Output only. Evaluation metrics of the Model. The schema of the metrics is stored in metrics_schema_uri
.google.protobuf.Value metrics = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];
Type | Description |
boolean | Whether the metrics field is set. |
hasModelExplanation()
public abstract boolean hasModelExplanation()
Output only. Aggregated explanation metrics for the Model's prediction output over the data this ModelEvaluation uses. This field is populated only if the Model is evaluated with explanations, and only for AutoML tabular Models.
.google.cloud.aiplatform.v1beta1.ModelExplanation model_explanation = 8 [(.google.api.field_behavior) = OUTPUT_ONLY];
Type | Description |
boolean | Whether the modelExplanation field is set. |