Class Model (2.29.0)
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Model(model_ref)Model represents a machine learning model resource.
See https://cloud.google.com/bigquery/docs/reference/rest/v2/models
Parameter
Union[google.cloud.bigquery.model.ModelReference, str]
A pointer to a model. If model_ref is a string, it must included a project ID, dataset ID, and model ID, each separated by ..
Inheritance
builtins.object > ModelProperties
created
Union[datetime.datetime, None]: Datetime at which the model was
created (:data:None until set from the server).
Read-only.
dataset_id
str: ID of dataset containing the model.
description
Optional[str]: Description of the model (defaults to
:data:None).
encryption_configuration
Optional[google.cloud.bigquery.encryption_configuration.EncryptionConfiguration]: Custom encryption configuration for the model.
Custom encryption configuration (e.g., Cloud KMS keys) or :data:None
if using default encryption.
See protecting data with Cloud KMS keys
<https://cloud.google.com/bigquery/docs/customer-managed-encryption>;_
in the BigQuery documentation.
etag
str: ETag for the model resource (:data:None until
set from the server).
Read-only.
expires
Union[datetime.datetime, None]: The datetime when this model expires. If not present, the model will persist indefinitely. Expired models will be deleted and their storage reclaimed.
feature_columns
Sequence[google.cloud.bigquery_v2.types.StandardSqlField]: Input feature columns that were used to train this model.
Read-only.
An iterable of StandardSqlField.
friendly_name
Optional[str]: Title of the table (defaults to :data:None).
label_columns
Sequence[google.cloud.bigquery_v2.types.StandardSqlField]: Label
columns that were used to train this model. The output of the model
will have a predicted_ prefix to these columns.
Read-only.
An iterable of StandardSqlField.
labels
Optional[Dict[str, str]]: Labels for the table.
This method always returns a dict. To change a model's labels,
modify the dict, then call Client.update_model. To delete a
label, set its value to :data:None before updating.
location
str: The geographic location where the model resides. This value is inherited from the dataset.
Read-only.
model_id
str: The model ID.
model_type
google.cloud.bigquery_v2.types.Model.ModelType: Type of the model resource.
Read-only.
The value is one of elements of the ModelType enumeration.
modified
Union[datetime.datetime, None]: Datetime at which the model was last
modified (:data:None until set from the server).
Read-only.
path
str: URL path for the model's APIs.
project
str: Project bound to the model
reference
A xref_ModelReference pointing to this model.
Read-only.
training_runs
Sequence[google.cloud.bigquery_v2.types.Model.TrainingRun]: Information for all training runs in increasing order of start time.
Read-only.
An iterable of TrainingRun.
Methods
from_api_repr
from_api_repr(resource: dict)Factory: construct a model resource given its API representation
Dict[str, object]
Model resource representation from the API
to_api_repr
to_api_repr()Construct the API resource representation of this model.
__init__
__init__(model_ref)Initialize self. See help(type(self)) for accurate signature.
Model
Model(model_ref)Model represents a machine learning model resource.
See https://cloud.google.com/bigquery/docs/reference/rest/v2/models
Union[google.cloud.bigquery.model.ModelReference, str]
A pointer to a model. If model_ref is a string, it must included a project ID, dataset ID, and model ID, each separated by ..