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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
