Class ModelEvaluationSlice (2.0.0)

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ModelEvaluationSlice(mapping=None, *, ignore_unknown_fields=False, **kwargs)

A collection of metrics calculated by comparing Model's predictions on a slice of the test data against ground truth annotations.

Attributes
Name	Description
name	str Output only. The resource name of the ModelEvaluationSlice.
slice_	google.cloud.aiplatform_v1beta1.types.ModelEvaluationSlice.Slice Output only. The slice of the test data that is used to evaluate the Model.
metrics_schema_uri	str Output only. Points to a YAML file stored on Google Cloud Storage describing the metrics of this ModelEvaluationSlice. The schema is defined as an OpenAPI 3.0.2 `Schema Object
metrics	google.protobuf.struct_pb2.Value Output only. Sliced 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 ModelEvaluationSlice was created.
model_explanation	google.cloud.aiplatform_v1beta1.types.ModelExplanation 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 tabular Models.

Classes

Slice

Slice(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Definition of a slice.

Methods

ModelEvaluationSlice

ModelEvaluationSlice(mapping=None, *, ignore_unknown_fields=False, **kwargs)

A collection of metrics calculated by comparing Model's predictions on a slice of the test data against ground truth annotations.