segmentation pg tests

src/pg/test/expected/06_segmentation_test.out

@@ -0,0 +1,30 @@
+\pset format unaligned
+\set ECHO all
+\i test/fixtures/ml_values.sql
+SET client_min_messages TO WARNING;
+\set ECHO none
+_cdb_random_seeds
+
+(1 row)
+prediction
+4.5656517130822492
+1.7928053473230694
+1.0283378773916563
+2.6586517814904593
+2.9699056242935944
+3.9550646059951347
+4.1662572444459745
+3.8126334839264162
+1.8809821053623488
+1.6349065129019873
+3.0391288591472954
+3.3035970359672553
+1.5835471589451968
+3.7530378537263638
+1.0833589653009252
+3.8104965452882897
+2.665217959294802
+1.5850334252802472
+3.679401198805563
+3.5332033186588636
+(20 rows)

src/pg/test/sql/06_segmentation_test.sql

@@ -0,0 +1,5 @@
+\pset format unaligned
+\set ECHO all
+\i test/fixtures/ml_values.sql
+SELECT cdb_crankshaft._cdb_random_seeds(1234);
+SELECT prediction from cdb_crankshaft.CDB_CreateAndPredictSegment('select target,x1,x2,x3 from ml_values where class= $$train$$','target','select cartodb_id, target,x1,x2,x3 from ml_values where class=$$test$$') limit 20