[GitHub] takuti opened a new pull request #178: [HIVEMALL-233] RandomForest regressor accepts sparse vector input

[GitBox <gi...@apache.org>]

takuti opened a new pull request #178: [HIVEMALL-233] RandomForest regressor accepts sparse vector input
URL: https://github.com/apache/incubator-hivemall/pull/178
 
 
   ## What changes were proposed in this pull request?
   
   Enable RandomForestRegressor to accept sparse vector input as RandomForestClassifier already does.
   
   #51 made incomplete modifications on RandomForestRegressor, while its classifier counterpart has been properly updated.
   
   ## What type of PR is it?
   
   Improvement
   
   ## What is the Jira issue?
   
   https://issues.apache.org/jira/browse/HIVEMALL-233
   
   ## How was this patch tested?
   
   Unit tests and manual test with tiny sample data:
   
   ```sql
   with customers as (
     select 1 as id, "male" as gender, 23 as age, "Japan" as country, 12 as num_purchases
     union all
     select 2 as id, "female" as gender, 43 as age, "US" as country, 4 as num_purchases
     union all
     select 3 as id, "other" as gender, 19 as age, "UK" as country, 2 as num_purchases
     union all
     select 4 as id, "male" as gender, 31 as age, "US" as country, 20 as num_purchases
     union all
     select 5 as id, "female" as gender, 37 as age, "Australia" as country, 9 as num_purchases
   ),
   training as (
     select
       array_concat(
         quantitative_features(
           array("age"),
           age
         ),
         categorical_features(
           array("country", "gender"),
           country, gender
         )
       ) as features,
       num_purchases
     from
       customers
   )
   select
     train_randomforest_regressor(
       feature_hashing(features), -- feature vector
       num_purchases, -- target value
       '-trees 40 -seed 31' -- hyper-parameters
     )
   from
     training
   ;
   ```
   
   ## Checklist
   
   - [x] Did you apply source code formatter, i.e., `./bin/format_code.sh`, for your commit?
   - [x] Did you run system tests on Hive (or Spark)?

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