Model(mapping=None, *, ignore_unknown_fields=False, **kwargs)API proto representing a trained machine learning model.
Attributes
| Name | Description |
translation_model_metadata |
Metadata for translation models. |
image_classification_model_metadata |
Metadata for image classification models. |
text_classification_model_metadata |
Metadata for text classification models. |
image_object_detection_model_metadata |
Metadata for image object detection models. |
video_classification_model_metadata |
Metadata for video classification models. |
video_object_tracking_model_metadata |
Metadata for video object tracking models. |
text_extraction_model_metadata |
Metadata for text extraction models. |
tables_model_metadata |
Metadata for Tables models. |
text_sentiment_model_metadata |
Metadata for text sentiment models. |
name |
str
Output only. Resource name of the model. Format: projects/{project_id}/locations/{location_id}/models/{model_id}
|
display_name |
str
Required. The name of the model to show in the interface. The name can be up to 32 characters long and can consist only of ASCII Latin letters A-Z and a-z, underscores (_), and ASCII digits 0-9. It must start with a letter. |
dataset_id |
str
Required. The resource ID of the dataset used to create the model. The dataset must come from the same ancestor project and location. |
create_time |
Output only. Timestamp when the model training finished and can be used for prediction. |
update_time |
Output only. Timestamp when this model was last updated. |
deployment_state |
Output only. Deployment state of the model. A model can only serve prediction requests after it gets deployed. |
Classes
DeploymentState
DeploymentState(value)Deployment state of the model.