Model
(
mapping
=
None
,
*
,
ignore_unknown_fields
=
False
,
**
kwargs
)
API proto representing a trained machine learning model.
This message has oneof
_ fields (mutually exclusive fields).
For each oneof, at most one member field can be set at the same time.
Setting any member of the oneof automatically clears all other
members.
.. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields
Attributes
Name
Description
translation_model_metadata
google.cloud.automl_v1.types.TranslationModelMetadata
Metadata for translation models. This field is a member of
oneof
_ model_metadata
.image_classification_model_metadata
google.cloud.automl_v1.types.ImageClassificationModelMetadata
Metadata for image classification models. This field is a member of
oneof
_ model_metadata
.text_classification_model_metadata
google.cloud.automl_v1.types.TextClassificationModelMetadata
Metadata for text classification models. This field is a member of
oneof
_ model_metadata
.image_object_detection_model_metadata
google.cloud.automl_v1.types.ImageObjectDetectionModelMetadata
Metadata for image object detection models. This field is a member of
oneof
_ model_metadata
.text_extraction_model_metadata
google.cloud.automl_v1.types.TextExtractionModelMetadata
Metadata for text extraction models. This field is a member of
oneof
_ model_metadata
.text_sentiment_model_metadata
google.cloud.automl_v1.types.TextSentimentModelMetadata
Metadata for text sentiment models. This field is a member of
oneof
_ model_metadata
.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-write updates. If not set, a blind "overwrite" update happens.
labels
MutableMapping[str, str]
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.
