- 3.27.0 (latest)
- 3.26.0
- 3.25.0
- 3.24.0
- 3.23.1
- 3.22.0
- 3.21.0
- 3.20.1
- 3.19.0
- 3.18.0
- 3.17.2
- 3.16.0
- 3.15.0
- 3.14.1
- 3.13.0
- 3.12.0
- 3.11.4
- 3.4.0
- 3.3.6
- 3.2.0
- 3.1.0
- 3.0.1
- 2.34.4
- 2.33.0
- 2.32.0
- 2.31.0
- 2.30.1
- 2.29.0
- 2.28.1
- 2.27.1
- 2.26.0
- 2.25.2
- 2.24.1
- 2.23.3
- 2.22.1
- 2.21.0
- 2.20.0
- 2.19.0
- 2.18.0
- 2.17.0
- 2.16.1
- 2.15.0
- 2.14.0
- 2.13.1
- 2.12.0
- 2.11.0
- 2.10.0
- 2.9.0
- 2.8.0
- 2.7.0
- 2.6.2
- 2.5.0
- 2.4.0
- 2.3.1
- 2.2.0
- 2.1.0
- 2.0.0
- 1.28.2
- 1.27.2
- 1.26.1
- 1.25.0
- 1.24.0
- 1.23.1
- 1.22.0
- 1.21.0
- 1.20.0
- 1.19.0
- 1.18.0
- 1.17.0
- 1.16.0
Model(model_ref: Optional[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
Inheritance
builtins.object > ModelProperties
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.
Methods
from_api_repr
from_api_repr(resource: Dict[str, Any])Factory: construct a model resource given its API representation
to_api_repr
to_api_repr()Construct the API resource representation of this model.
__init__
__init__(
model_ref: Optional[Union[google.cloud.bigquery.model.ModelReference, str]]
)Initialize self. See help(type(self)) for accurate signature.
Model
Model(model_ref: Optional[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