Class Model (3.15.0)

Model(
    model_ref: typing.Optional[
        typing.Union[google.cloud.bigquery.model.ModelReference, str]
    ]
)

Model represents a machine learning model resource.

See https://cloud.google.com/bigquery/docs/reference/rest/v2/models

Properties

best_trial_id

The best trial_id across all training runs.

Read-only.

created

Datetime at which the model was created (:data:None until set from the server).

Read-only.

dataset_id

ID of dataset containing the model.

description

Description of the model (defaults to :data:None).

encryption_configuration

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

ETag for the model resource (:data:None until set from the server).

Read-only.

expires

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

Input feature columns that were used to train this model.

Read-only.

friendly_name

Title of the table (defaults to :data:None).

label_columns

Label columns that were used to train this model.

The output of the model will have a predicted_ prefix to these columns.

Read-only.

labels

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

The geographic location where the model resides.

This value is inherited from the dataset.

Read-only.

model_id

The model ID.

model_type

Type of the model resource.

Read-only.

modified

Datetime at which the model was last modified (:data:None until set from the server).

Read-only.

path

URL path for the model's APIs.

project

Project bound to the model.

reference

A model reference pointing to this model.

Read-only.

training_runs

Information for all training runs in increasing order of start time.

Dictionaries are in REST API format. See: https://cloud.google.com/bigquery/docs/reference/rest/v2/models#trainingrun

Read-only.

transform_columns

The input feature columns that were used to train this model. The output transform columns used to train this model.

See REST API: https://cloud.google.com/bigquery/docs/reference/rest/v2/models#transformcolumn

Read-only.

Methods

from_api_repr

from_api_repr(
    resource: typing.Dict[str, typing.Any]
) -> google.cloud.bigquery.model.Model

Factory: construct a model resource given its API representation

to_api_repr

to_api_repr() -> typing.Dict[str, typing.Any]

Construct the API resource representation of this model.

__init__

__init__(
    model_ref: typing.Optional[
        typing.Union[google.cloud.bigquery.model.ModelReference, str]
    ]
)

Initialize self. See help(type(self)) for accurate signature.

Model

Model(
    model_ref: typing.Optional[
        typing.Union[google.cloud.bigquery.model.ModelReference, str]
    ]
)

Model represents a machine learning model resource.

See https://cloud.google.com/bigquery/docs/reference/rest/v2/models