updated bigquery_ml_classification_logistic_regression_predict_with_m…

…odel2.sql
HariSekhon · Oct 10, 2024 · a5db059 · a5db059
1 parent 1c66587
commit a5db059
Showing 1 changed file with 53 additions and 53 deletions.
diff --git a/analytics/bigquery_ml_classification_logistic_regression_predict_with_model2.sql b/analytics/bigquery_ml_classification_logistic_regression_predict_with_model2.sql
@@ -16,72 +16,72 @@
 -- use the improved model 2 to predict which users will buy on return visit
 
 SELECT
-  *
+    *
 FROM
-  ml.PREDICT(
-    MODEL `ecommerce.classification_model_2`, (
+    ml.PREDICT(
+        MODEL `ecommerce.classification_model_2`, (
 
-      WITH all_visitor_stats AS (
-      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
-      )
+            WITH all_visitor_stats AS (
+            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
+            )
 
-      SELECT
-        CONCAT(fullvisitorid, '-',CAST(visitId AS STRING)) AS unique_session_id,
+            SELECT
+                CONCAT(fullvisitorid, '-',CAST(visitId AS STRING)) AS unique_session_id,
 
-        -- labels
-        will_buy_on_return_visit,
+                -- labels
+                will_buy_on_return_visit,
 
-        MAX(CAST(h.eCommerceAction.action_type AS INT64)) AS latest_ecommerce_progress,
+                MAX(CAST(h.eCommerceAction.action_type AS INT64)) AS latest_ecommerce_progress,
 
-        -- behavior on the site
-        IFNULL(totals.bounces, 0) AS bounces,
-        IFNULL(totals.timeOnSite, 0) AS time_on_site,
-        totals.pageviews,
+                -- behavior on the site
+                IFNULL(totals.bounces, 0) AS bounces,
+                IFNULL(totals.timeOnSite, 0) AS time_on_site,
+                totals.pageviews,
 
-        -- where the visitor came from
-        trafficSource.source,
-        trafficSource.medium,
-        channelGrouping,
+                -- where the visitor came from
+                trafficSource.source,
+                trafficSource.medium,
+                channelGrouping,
 
-        -- mobile or desktop
-        device.deviceCategory,
+                -- mobile or desktop
+                device.deviceCategory,
 
-        -- geographic
-        IFNULL(geoNetwork.country, "") AS country
+                -- geographic
+                IFNULL(geoNetwork.country, "") AS country
 
-        FROM
-          `data-to-insights.ecommerce.web_analytics`,
-        UNNEST(hits) AS h
+            FROM
+                `data-to-insights.ecommerce.web_analytics`,
+            UNNEST(hits) AS h
 
-        JOIN
-          all_visitor_stats
-        USING
-          (fullvisitorid)
+            JOIN
+                all_visitor_stats
+            USING
+                (fullvisitorid)
 
-        WHERE
-          -- only predict for new visits
-          totals.newVisits = 1
-          -- test on a non-overlapping subset to the training data
-          AND date BETWEEN '20170701' AND '20170801'
+            WHERE
+                -- only predict for new visits
+                totals.newVisits = 1
+                -- test on a non-overlapping subset to the training data
+                AND date BETWEEN '20170701' AND '20170801'
 
-        GROUP BY
-          unique_session_id,
-          will_buy_on_return_visit,
-          bounces,
-          time_on_site,
-          totals.pageviews,
-          trafficSource.source,
-          trafficSource.medium,
-          channelGrouping,
-          device.deviceCategory,
-          country
+            GROUP BY
+                unique_session_id,
+                will_buy_on_return_visit,
+                bounces,
+                time_on_site,
+                totals.pageviews,
+                trafficSource.source,
+                trafficSource.medium,
+                channelGrouping,
+                device.deviceCategory,
+                country
+        )
     )
-  )
 
 ORDER BY
-  -- your label name will be prefixed with 'predicted_' for the field generated by the model
-  predicted_will_buy_on_return_visit DESC;
+    -- your label name will be prefixed with 'predicted_' for the field generated by the model
+    predicted_will_buy_on_return_visit DESC;