Class Model (2.3.0)

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

API proto representing a trained machine learning model.

Attributes

Name	Description
`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

Name	Description
`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.