add full tests
This commit is contained in:
abelvm
@@ -1,6 +1,18 @@
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-- Install dependencies
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CREATE EXTENSION plpythonu;
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CREATE EXTENSION postgis;
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CREATE EXTENSION cartodb;
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CREATE EXTENSION postgis VERSION '2.2.2';
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-- Create role publicuser if it does not exist
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DO
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$$
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BEGIN
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IF NOT EXISTS (
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SELECT *
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FROM pg_catalog.pg_user
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WHERE usename = 'publicuser') THEN
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CREATE ROLE publicuser LOGIN;
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END IF;
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END
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$$ LANGUAGE plpgsql;
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-- Install the extension
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CREATE EXTENSION crankshaft VERSION 'dev';
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@@ -0,0 +1,10 @@
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\pset format unaligned
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\set ECHO all
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SELECT count(DISTINCT cluster_no) as clusters from cdb_crankshaft.cdb_kmeans('select * from ppoints', 2);
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clusters
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2
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(1 row)
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SELECT count(*) clusters from (select cdb_crankshaft.CDB_WeightedMean(the_geom, value::NUMERIC), code from ppoints group by code) p;
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clusters
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52
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(1 row)
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@@ -0,0 +1,10 @@
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SET client_min_messages TO WARNING;
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\set ECHO none
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_cdb_random_seeds
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(1 row)
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cartodb_id|trend_test|trend_up_test|trend_down_test|volatility_test
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1|t|t|t|t
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2|t|t|t|t
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3|t|t|t|t
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(3 rows)
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@@ -0,0 +1,27 @@
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\pset format unaligned
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\set ECHO none
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_cdb_random_seeds
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(1 row)
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within_tolerance
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t
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t
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t
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t
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t
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t
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t
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t
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t
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t
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t
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t
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t
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t
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t
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t
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t
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t
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t
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t
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(20 rows)
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@@ -0,0 +1,14 @@
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SET client_min_messages TO WARNING;
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\set ECHO none
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the_geom | h | hpop | dist
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--------------------------------------------+-------------------------+--------------------------+----------------
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01010000001361C3D32B650140DD24068195B34440 | 1.51078258369747945249 | 12.08626066957983561994 | 4964.714459152
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01010000002497FF907EFB0040713D0AD7A3B04440 | 98.29730954183620807430 | 688.08116679285345652007 | 99.955141922
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0101000000A167B3EA733501401D5A643BDFAF4440 | 63.70532894711274639196 | 382.23197368267647835174 | 2488.330566505
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010100000062A1D634EF380140BE9F1A2FDDB44440 | 35.35415870080995954879 | 176.77079350404979774397 | 4359.370460594
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010100000052B81E85EB510140355EBA490CB24440 | 33.12290506987740864904 | 132.49162027950963459615 | 3703.664449828
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0101000000C286A757CA320140736891ED7CAF4440 | 65.45251754279248087849 | 196.35755262837744263547 | 2512.092358644
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01010000007DD0B359F5390140C976BE9F1AAF4440 | 62.83927792471345639225 | 125.67855584942691278449 | 2926.25725244
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0101000000D237691A140D01407E6FD39FFDB44440 | 53.54905726651871279586 | 53.54905726651871279586 | 3744.515577777
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(8 rows)
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@@ -1,7 +1,12 @@
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SET client_min_messages TO WARNING;
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\set ECHO none
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<<<<<<< HEAD
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nn | nni | idw
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-----+--------------------------+-----------------
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200 | 780.79470198683925288365 | 341.46260750526
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=======
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cdb_spatialinterpolation
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t
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>>>>>>> ebbf68af5700f33737ac18516e2bdc22ea330b24
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(1 row)
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+180
File diff suppressed because one or more lines are too long
Vendored
+2005
File diff suppressed because it is too large
Load Diff
@@ -1,7 +1,20 @@
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-- Install dependencies
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CREATE EXTENSION plpythonu;
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CREATE EXTENSION postgis;
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CREATE EXTENSION cartodb;
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CREATE EXTENSION postgis VERSION '2.2.2';
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-- Create role publicuser if it does not exist
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DO
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$$
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BEGIN
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IF NOT EXISTS (
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SELECT *
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FROM pg_catalog.pg_user
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WHERE usename = 'publicuser') THEN
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CREATE ROLE publicuser LOGIN;
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END IF;
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END
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$$ LANGUAGE plpgsql;
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-- Install the extension
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CREATE EXTENSION crankshaft VERSION 'dev';
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@@ -0,0 +1,6 @@
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\pset format unaligned
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\set ECHO all
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SELECT count(DISTINCT cluster_no) as clusters from cdb_crankshaft.cdb_kmeans('select * from ppoints', 2);
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SELECT count(*) clusters from (select cdb_crankshaft.CDB_WeightedMean(the_geom, value::NUMERIC), code from ppoints group by code) p;
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@@ -0,0 +1,33 @@
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SET client_min_messages TO WARNING;
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\set ECHO none
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\pset format unaligned
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\i test/fixtures/markov_usjoin_example.sql
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-- Areas of Interest functions perform some nondeterministic computations
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-- (to estimate the significance); we will set the seeds for the RNGs
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-- that affect those results to have repeatable results
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SELECT cdb_crankshaft._cdb_random_seeds(1234);
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SELECT
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m1.cartodb_id,
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CASE WHEN m1.cartodb_id = 1 THEN abs(m2.trend - 0.069767441860465115) / 0.069767441860465115 < 0.05
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WHEN m1.cartodb_id = 2 THEN abs(m2.trend - 0.15151515151515152) / 0.15151515151515152 < 0.05
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WHEN m1.cartodb_id = 3 THEN abs(m2.trend - 0.069767441860465115) / 0.069767441860465115 < 0.05
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ELSE NULL END As trend_test,
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CASE WHEN m1.cartodb_id = 1 THEN abs(m2.trend_up - 0.065217391304347824) / 0.065217391304347824 < 0.05
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WHEN m1.cartodb_id = 2 THEN abs(m2.trend_up - 0.13157894736842105) / 0.13157894736842105 < 0.05
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WHEN m1.cartodb_id = 3 THEN abs(m2.trend_up - 0.065217391304347824) / 0.065217391304347824 < 0.05
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ELSE NULL END As trend_up_test,
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CASE WHEN m1.cartodb_id = 1 THEN m2.trend_down = 0.0
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WHEN m1.cartodb_id = 2 THEN m2.trend_down = 0.0
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WHEN m1.cartodb_id = 3 THEN m2.trend_down = 0.0
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ELSE NULL END As trend_down_test,
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CASE WHEN m1.cartodb_id = 1 THEN abs(m2.volatility - 0.367574633389) / 0.367574633389 < 0.1
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WHEN m1.cartodb_id = 2 THEN abs(m2.volatility - 0.33807340742635211) / 0.33807340742635211 < 0.1
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WHEN m1.cartodb_id = 3 THEN abs(m2.volatility - 0.3682585596149513) / 0.3682585596149513 < 0.1
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ELSE NULL END As volatility_test
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FROM markov_usjoin_example As m1
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JOIN cdb_crankshaft.CDB_SpatialMarkovTrend('SELECT * FROM markov_usjoin_example ORDER BY cartodb_id DESC', Array['y1995', 'y1996', 'y1997', 'y1998', 'y1999', 'y2000', 'y2001', 'y2002', 'y2003', 'y2004', 'y2005', 'y2006', 'y2007', 'y2008', 'y2009']::text[], 5::int, 'knn'::text, 5::int, 0::int, 'the_geom'::text, 'cartodb_id'::text) As m2
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ON m1.cartodb_id = m2.rowid
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ORDER BY m1.cartodb_id
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LIMIT 3;
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@@ -0,0 +1,33 @@
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\pset format unaligned
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\set ECHO none
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\i test/fixtures/ml_values.sql
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SELECT cdb_crankshaft._cdb_random_seeds(1234);
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WITH expected AS (
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SELECT generate_series(1000,1020) AS id, unnest(ARRAY[
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4.5656517130822492,
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1.7928053473230694,
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1.0283378773916563,
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2.6586517814904593,
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2.9699056242935944,
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3.9550646059951347,
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4.1662572444459745,
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3.8126334839264162,
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1.8809821053623488,
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1.6349065129019873,
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3.0391288591472954,
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3.3035970359672553,
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1.5835471589451968,
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3.7530378537263638,
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1.0833589653009252,
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3.8104965452882897,
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2.665217959294802,
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1.5850334252802472,
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3.679401198805563,
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3.5332033186588636
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]) AS expected LIMIT 20
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), prediction AS (
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SELECT cartodb_id::integer id, prediction
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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 = $$test$$')
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LIMIT 20
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) SELECT abs(e.expected - p.prediction) <= 1e-9 AS within_tolerance FROM expected e, prediction p WHERE e.id = p.id;
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@@ -0,0 +1,24 @@
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SET client_min_messages TO WARNING;
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\set ECHO none
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WITH t AS (
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SELECT
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ARRAY[1,2,3] AS id,
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ARRAY[7.0,8.0,3.0] AS w,
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ARRAY[ST_GeomFromText('POINT(2.1744 41.4036)'),ST_GeomFromText('POINT(2.1228 41.3809)'),ST_GeomFromText('POINT(2.1511 41.3742)')] AS g
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),
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s AS (
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SELECT
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ARRAY[10,20,30,40,50,60,70,80] AS id,
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ARRAY[800, 700, 600, 500, 400, 300, 200, 100] AS p,
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ARRAY[ST_GeomFromText('POINT(2.1744 41.403)'),ST_GeomFromText('POINT(2.1228 41.380)'),ST_GeomFromText('POINT(2.1511 41.374)'),ST_GeomFromText('POINT(2.1528 41.413)'),ST_GeomFromText('POINT(2.165 41.391)'),ST_GeomFromText('POINT(2.1498 41.371)'),ST_GeomFromText('POINT(2.1533 41.368)'),ST_GeomFromText('POINT(2.131386 41.41399)')] AS g
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)
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SELECT
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g.the_geom,
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g.h,
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g.hpop,
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g.dist
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FROM
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t,
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s,
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cdb_crankshaft.CDB_Gravity(t.id, t.g, t.w, s.id, s.g, s.p, 2, 100000, 3) g;
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@@ -1,12 +1,21 @@
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SET client_min_messages TO WARNING;
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\set ECHO none
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<<<<<<< HEAD
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=======
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\pset format unaligned
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>>>>>>> ebbf68af5700f33737ac18516e2bdc22ea330b24
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WITH a AS (
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SELECT
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ARRAY[800, 700, 600, 500, 400, 300, 200, 100] AS vals,
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ARRAY[ST_GeomFromText('POINT(2.1744 41.403)'),ST_GeomFromText('POINT(2.1228 41.380)'),ST_GeomFromText('POINT(2.1511 41.374)'),ST_GeomFromText('POINT(2.1528 41.413)'),ST_GeomFromText('POINT(2.165 41.391)'),ST_GeomFromText('POINT(2.1498 41.371)'),ST_GeomFromText('POINT(2.1533 41.368)'),ST_GeomFromText('POINT(2.131386 41.41399)')] AS g
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)
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<<<<<<< HEAD
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SELECT
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CDB_SpatialInterpolation(g, vals, ST_GeomFromText('POINT(2.154 41.37)'),0) as NN,
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CDB_SpatialInterpolation(g, vals, ST_GeomFromText('POINT(2.154 41.37)'),1) as NNI,
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CDB_SpatialInterpolation(g, vals, ST_GeomFromText('POINT(2.154 41.37)'),2) as IDW
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FROM a;
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=======
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SELECT (cdb_crankshaft.CDB_SpatialInterpolation(g, vals, ST_GeomFromText('POINT(2.154 41.37)'), 1) - 780.79470198683925288365) / 780.79470198683925288365 < 0.001 As cdb_spatialinterpolation FROM a;
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>>>>>>> ebbf68af5700f33737ac18516e2bdc22ea330b24
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@@ -4,7 +4,7 @@ SELECT cdb_crankshaft._cdb_random_seeds(1234);
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SET ROLE test_regular_user;
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-- Add to the search path the schema
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SET search_path TO public,cartodb,cdb_crankshaft;
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SET search_path TO public,cdb_crankshaft;
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-- Exercise public functions
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SELECT ppoints.code, m.quads
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