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ModelEvaluation(
evaluation_name: str,
model_id: Optional[str] = None,
project: Optional[str] = None,
location: Optional[str] = None,
credentials: Optional[google.auth.credentials.Credentials] = None,
)
Retrieves the ModelEvaluation resource and instantiates its representation.
Parameters
Name | Description |
evaluation_name |
str
Required. A fully-qualified model evaluation resource name or evaluation ID. Example: "projects/123/locations/us-central1/models/456/evaluations/789" or "789". If passing only the evaluation ID, model_id must be provided. |
model_id |
str
Optional. The ID of the model to retrieve this evaluation from. If passing only the evaluation ID as evaluation_name, model_id must be provided. |
project |
str
Optional project to retrieve model evaluation from. If not set, project set in aiplatform.init will be used. |
location |
str
Optional location to retrieve model evaluation from. If not set, location set in aiplatform.init will be used. |
Inheritance
builtins.object > google.cloud.aiplatform.base.VertexAiResourceNoun > builtins.object > google.cloud.aiplatform.base.FutureManager > google.cloud.aiplatform.base.VertexAiResourceNounWithFutureManager > ModelEvaluationProperties
metrics
Gets the evaluation metrics from the Model Evaluation.
Methods
delete
delete()
Deletes this Vertex AI resource. WARNING: This deletion is permanent.
Name | Description |
sync |
bool
Whether to execute this deletion synchronously. If False, this method will be executed in concurrent Future and any downstream object will be immediately returned and synced when the Future has completed. |