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ModelEvaluation(mapping=None, *, ignore_unknown_fields=False, **kwargs)
A collection of metrics calculated by comparing Model's predictions on all of the test data against annotations from the test data.
Attributes |
|
---|---|
Name | Description |
name |
str
Output only. The resource name of the ModelEvaluation. |
display_name |
str
The display name of the ModelEvaluation. |
metrics_schema_uri |
str
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 |
metrics |
google.protobuf.struct_pb2.Value
Evaluation metrics of the Model. The schema of the metrics is stored in metrics_schema_uri |
create_time |
google.protobuf.timestamp_pb2.Timestamp
Output only. Timestamp when this ModelEvaluation was created. |
slice_dimensions |
MutableSequence[str]
All possible dimensions of ModelEvaluationSlices. The dimensions can be used as the filter of the ModelService.ListModelEvaluationSlices request, in the form of slice.dimension = .
|
data_item_schema_uri |
str
Points to a YAML file stored on Google Cloud Storage describing [EvaluatedDataItemView.data_item_payload][] and EvaluatedAnnotation.data_item_payload. The schema is defined as an OpenAPI 3.0.2 `Schema Object |
annotation_schema_uri |
str
Points to a YAML file stored on Google Cloud Storage describing [EvaluatedDataItemView.predictions][], [EvaluatedDataItemView.ground_truths][], EvaluatedAnnotation.predictions, and EvaluatedAnnotation.ground_truths. The schema is defined as an OpenAPI 3.0.2 `Schema Object |
model_explanation |
google.cloud.aiplatform_v1.types.ModelExplanation
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. |
explanation_specs |
MutableSequence[google.cloud.aiplatform_v1.types.ModelEvaluation.ModelEvaluationExplanationSpec]
Describes the values of ExplanationSpec that are used for explaining the predicted values on the evaluated data. |
metadata |
google.protobuf.struct_pb2.Value
The metadata of the ModelEvaluation. For the ModelEvaluation uploaded from Managed Pipeline, metadata contains a structured value with keys of "pipeline_job_id", "evaluation_dataset_type", "evaluation_dataset_path". |
Classes
ModelEvaluationExplanationSpec
ModelEvaluationExplanationSpec(
mapping=None, *, ignore_unknown_fields=False, **kwargs
)