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Posted to dev@madlib.apache.org by GitBox <gi...@apache.org> on 2021/03/11 00:30:23 UTC

[GitHub] [madlib] fmcquillan99 commented on pull request #560: Strengthen security checks on compile params

fmcquillan99 commented on pull request #560:
URL: https://github.com/apache/madlib/pull/560#issuecomment-796321033


   (1)
   ```
   # import database connector psycopg2 and create connection cursor
   import psycopg2 as p2
   conn = p2.connect('postgresql://gpadmin@localhost:8000/madlib')
   cur = conn.cursor()
   
   # import Dill and define functions
   import dill
   
   # custom loss
   def __squared_error(y_true, y_pred):
       import tensorflow.keras.backend as K 
       return K.square(y_pred - y_true)
   pb_squared_error=dill.dumps(squared_error)
   
   # custom metric
   def _rmse(y_true, y_pred):
       import tensorflow.keras.backend as K 
       return K.sqrt(K.mean(K.square(y_pred - y_true), axis=-1))
   pb_rmse=dill.dumps(rmse)
   
   # call load function
   cur.execute("DROP TABLE IF EXISTS madlib.custom_function_table")
   cur.execute("SELECT madlib.load_custom_function('custom_function_table',  %s,'__squared_error', 'squared error')", [p2.Binary(pb_squared_error)])
   cur.execute("SELECT madlib.load_custom_function('custom_function_table',  %s,'_rmse', 'root mean square error')", [p2.Binary(pb_rmse)])
   conn.commit()
   ```
   ```
   SELECT madlib.load_top_k_accuracy_function('custom_function_table',
                                              2);
   SELECT madlib.load_top_k_accuracy_function('custom_function_table',
                                              3);
   SELECT madlib.load_top_k_accuracy_function('custom_function_table',
                                              5);
   ```
   ```
   SELECT id, name, description FROM madlib.custom_function_table ORDER BY id;
    id |      name       |      description       
   ----+-----------------+------------------------
     1 | __squared_error | squared error
     2 | _rmse           | root mean square error
     3 | top_2_accuracy  | returns top_2_accuracy
     4 | top_3_accuracy  | returns top_3_accuracy
     5 | top_5_accuracy  | returns top_5_accuracy
   (5 rows)
   
   ```
   


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