Created
November 16, 2019 07:31
-
-
Save jadechip/a98e36a9549f57cf4288a32cac492ee1 to your computer and use it in GitHub Desktop.
Create rudimentary classification model in BigQuery ML
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
CREATE OR REPLACE MODEL `ecommerce.classification_model` | |
OPTIONS | |
( | |
model_type='logistic_reg', | |
labels = ['will_buy_on_return_visit'] | |
) | |
AS | |
#standardSQL | |
SELECT | |
* EXCEPT(fullVisitorId) | |
FROM | |
# features | |
(SELECT | |
fullVisitorId, | |
IFNULL(totals.bounces, 0) AS bounces, | |
IFNULL(totals.timeOnSite, 0) AS time_on_site | |
FROM | |
`data-to-insights.ecommerce.web_analytics` | |
WHERE | |
totals.newVisits = 1 | |
AND date BETWEEN '20160801' AND '20170430') # train on first 9 months | |
JOIN | |
(SELECT | |
fullvisitorid, | |
IF(COUNTIF(totals.transactions > 0 AND totals.newVisits IS NULL) > 0, 1, 0) AS will_buy_on_return_visit | |
FROM | |
`data-to-insights.ecommerce.web_analytics` | |
GROUP BY fullvisitorid) | |
USING (fullVisitorId) | |
; |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment