Class Model (2.3.0)

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

API proto representing a trained machine learning model.

Attributes

NameDescription
translation_model_metadata google.cloud.automl_v1.types.TranslationModelMetadata
Metadata for translation models.
image_classification_model_metadata google.cloud.automl_v1.types.ImageClassificationModelMetadata
Metadata for image classification models.
text_classification_model_metadata google.cloud.automl_v1.types.TextClassificationModelMetadata
Metadata for text classification models.
image_object_detection_model_metadata google.cloud.automl_v1.types.ImageObjectDetectionModelMetadata
Metadata for image object detection models.
text_extraction_model_metadata google.cloud.automl_v1.types.TextExtractionModelMetadata
Metadata for text extraction models.
text_sentiment_model_metadata google.cloud.automl_v1.types.TextSentimentModelMetadata
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 google.protobuf.timestamp_pb2.Timestamp
Output only. Timestamp when the model training finished and can be used for prediction.
update_time google.protobuf.timestamp_pb2.Timestamp
Output only. Timestamp when this model was last updated.
deployment_state google.cloud.automl_v1.types.Model.DeploymentState
Output only. Deployment state of the model. A model can only serve prediction requests after it gets deployed.
etag str
Used to perform a consistent read-modify- rite updates. If not set, a blind "overwrite" update happens.
labels Sequence[google.cloud.automl_v1.types.Model.LabelsEntry]
Optional. The labels with user-defined metadata to organize your model. Label keys and values can be no longer than 64 characters (Unicode codepoints), can only contain lowercase letters, numeric characters, underscores and dashes. International characters are allowed. Label values are optional. Label keys must start with a letter. See https://goo.gl/xmQnxf for more information on and examples of labels.

Classes

DeploymentState

DeploymentState(value)

Deployment state of the model.

LabelsEntry

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

The abstract base class for a message.

Parameters
NameDescription
kwargs dict

Keys and values corresponding to the fields of the message.

mapping Union[dict, .Message]

A dictionary or message to be used to determine the values for this message.

ignore_unknown_fields Optional(bool)

If True, do not raise errors for unknown fields. Only applied if mapping is a mapping type or there are keyword parameters.