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July 2, 2019
Importing TensorFlow models is now Beta .
May 29, 2019
BigQuery ML is now Generally Available (GA).
May 14, 2019
BigQuery ML now supports the DROP MODEL DDL statement for deleting models.
May 6, 2019
BigQuery ML IAM permissions are now available. These permissions take effect on June 6, 2019. Customers with custom roles should migrate to these permissions no later than June 6. Pre-defined IAM roles and primitive roles are not impacted by this change.
April 10, 2019
BigQuery ML now supports the k-means model type for clustering and customer segmentation.
April 4, 2019
During the beta period, Table permissions were automatically applied to models for custom IAM roles. BigQuery ML will begin enforcing several new IAM permissions on June 6, 2019. Customers who used custom IAM roles during the beta period must reconfigure these roles to use the new BigQuery ML permissions. This change will enable you to manage Models permissions separately from BigQuery ML Table permissions. You can begin redefining your custom roles by the end of April, 2019 when the permissions are released. Pre-defined IAM roles and primitive roles are not impacted by this change.
March 18, 2019
BigQuery ML now supports ML.ROC_CURVE and ML.CONFUSION_MATRIX without input data.
The limit on the number of CREATE MODEL queries
has increased from 100 to 1,000.
January 29, 2019
BigQuery ML now supports automatic, batch gradient descent, and normal equation optimization strategies for linear regression models.
December 13, 2018
The BigQuery ML
ML.WEIGHTS
function now supports standardization.
The BigQuery ML
ML.PREDICT
function now supports thresholds for binary logistic regression models.
November 8, 2018
BigQuery ML pricing is now available.
October 19, 2018
The BigQuery ML
CREATE MODEL
statement has increased support for unique values in labels from 10 to 50.
Multiclass logistic regression models now support up to 50 unique values for
labels.
October 11, 2018
When you create a model using the random
data split method,
the split is now deterministic. Subsequent training runs will produce the
same split so long as the underlying input data hasn't changed.
Providing input data to the
ML.EVALUATE
function is now optional.
September 19, 2018
BigQuery ML is now available in the Tokyo (asia-northeast1) region.
September 13, 2018
BigQuery ML now supports multiclass logistic regression models and the ML.CONFUSION_MATRIX evaluation function.
July 25, 2018
BigQuery ML is now Beta.
