Fix tests.

RumbleDB · Dec 21, 2023 · 1803a5c · 1803a5c
1 parent c9931b3
commit 1803a5c
Show file tree

Hide file tree

Showing 6 changed files with 6 additions and 6 deletions.
diff --git a/src/test/resources/test_files/RumbleML/RumbleML/MLPipeline1.jq b/src/test/resources/test_files/RumbleML/RumbleML/MLPipeline1.jq
@@ -1,4 +1,4 @@
-(:JIQS: ShouldRun; Output="({ "id" : 0, "label" : 1, "col1" : -1, "col2" : 1.5, "col3" : 1.3, "features" : [ -1, 1.5, 1.3 ], "features2" : [ 0.6811443247067493, -1.6574062675838126 ], "rawPrediction" : [ -37.806767087841095, 37.806767087841095 ], "probability" : [ 3.80828704311553E-17, 1 ], "ocol1" : 1 }, { "id" : 1, "label" : 0, "col1" : 3, "col2" : 2, "col3" : -0.1, "features" : [ 3, 2, -0.1 ], "features2" : [ -2.9389857055027706, 0.48441694826197546 ], "rawPrediction" : [ 37.56770709258579, -37.56770709258579 ], "probability" : [ 1, 0 ], "ocol1" : 0 }, { "id" : 2, "label" : 1, "col1" : 0, "col2" : 2.2, "col3" : -1.5, "features" : [ 0, 2.2, -1.5 ], "features2" : [ 0.28609394877170796, 1.1822492465709793 ], "rawPrediction" : [ -19.168353441006694, 19.168353441006694 ], "probability" : [ 4.734671708106025E-9, 0.9999999952653283 ], "ocol1" : 1 })" :)
+(:JIQS: ShouldRun; Output="({ "id" : 0, "label" : 1, "col1" : -1, "col2" : 1.5, "col3" : 1.3, "features" : [ -1, 1.5, 1.3 ], "features2" : [ 0.6811443247067493, -1.657406267583814 ], "rawPrediction" : [ -37.806767087841045, 37.806767087841045 ], "probability" : [ 3.808287043115719E-17, 1 ], "ocol1" : 1 }, { "id" : 1, "label" : 0, "col1" : 3, "col2" : 2, "col3" : -0.1, "features" : [ 3, 2, -0.1 ], "features2" : [ -2.9389857055027706, 0.48441694826197507 ], "rawPrediction" : [ 37.56770709258576, -37.56770709258576 ], "probability" : [ 1, 0 ], "ocol1" : 0 }, { "id" : 2, "label" : 1, "col1" : 0, "col2" : 2.2, "col3" : -1.5, "features" : [ 0, 2.2, -1.5 ], "features2" : [ 0.28609394877170796, 1.1822492465709795 ], "rawPrediction" : [ -19.168353441006655, 19.168353441006655 ], "probability" : [ 4.73467170810621E-9, 0.9999999952653283 ], "ocol1" : 1 })" :)
 let $vector-assembler := get-transformer("VectorAssembler")
 let $training-data := (
     {"id": 0, "label": 1, "col1": 0.0, "col2": 1.1, "col3": 0.1},

diff --git a/src/test/resources/test_files/RumbleML/RumbleML/MLPipeline2.jq b/src/test/resources/test_files/RumbleML/RumbleML/MLPipeline2.jq
@@ -1,4 +1,4 @@
-(:JIQS: ShouldRun; Output="({ "id" : 0, "label" : 1, "col1" : -1, "col2" : 1.5, "col3" : 1.3, "features" : [ -1, 1.5, 1.3 ], "features2" : [ 0.6811443247067493, -1.6574062675838126 ], "rawPrediction" : [ -37.806767087841095, 37.806767087841095 ], "probability" : [ 3.80828704311553E-17, 1 ], "ocol1" : 1 }, { "id" : 1, "label" : 0, "col1" : 3, "col2" : 2, "col3" : -0.1, "features" : [ 3, 2, -0.1 ], "features2" : [ -2.9389857055027706, 0.48441694826197546 ], "rawPrediction" : [ 37.56770709258579, -37.56770709258579 ], "probability" : [ 1, 0 ], "ocol1" : 0 }, { "id" : 2, "label" : 1, "col1" : 0, "col2" : 2.2, "col3" : -1.5, "features" : [ 0, 2.2, -1.5 ], "features2" : [ 0.28609394877170796, 1.1822492465709793 ], "rawPrediction" : [ -19.168353441006694, 19.168353441006694 ], "probability" : [ 4.734671708106025E-9, 0.9999999952653283 ], "ocol1" : 1 })" :)
+(:JIQS: ShouldRun; Output="({ "id" : 0, "label" : 1, "col1" : -1, "col2" : 1.5, "col3" : 1.3, "features" : [ -1, 1.5, 1.3 ], "features2" : [ 0.6811443247067493, -1.6574062675838137 ], "rawPrediction" : [ -37.806767087840996, 37.806767087840996 ], "probability" : [ 3.808287043115909E-17, 1 ], "ocol1" : 1 }, { "id" : 1, "label" : 0, "col1" : 3, "col2" : 2, "col3" : -0.1, "features" : [ 3, 2, -0.1 ], "features2" : [ -2.9389857055027706, 0.48441694826197507 ], "rawPrediction" : [ 37.567707092585735, -37.567707092585735 ], "probability" : [ 1, 0 ], "ocol1" : 0 }, { "id" : 2, "label" : 1, "col1" : 0, "col2" : 2.2, "col3" : -1.5, "features" : [ 0, 2.2, -1.5 ], "features2" : [ 0.28609394877170796, 1.1822492465709793 ], "rawPrediction" : [ -19.168353441006627, 19.168353441006627 ], "probability" : [ 4.734671708106345E-9, 0.9999999952653283 ], "ocol1" : 1 })" :)
 let $vector-assembler := get-transformer("VectorAssembler")(?, { "inputCols" : [ "col1", "col2", "col3" ], "outputCol" : "features" })
 let $training-data := (
     {"id": 0, "label": 1, "col1": 0.0, "col2": 1.1, "col3": 0.1},

diff --git a/src/test/resources/test_files/RumbleML/RumbleML/MLPipeline3.jq b/src/test/resources/test_files/RumbleML/RumbleML/MLPipeline3.jq
@@ -1,4 +1,4 @@
-(:JIQS: ShouldRun; Output="({ "id" : 0, "label" : 1, "col1" : -1, "col2" : 1.5, "col3" : 1.3, "features" : [ -1, 1.5, 1.3 ], "features2" : [ 0.6811443247067493, -1.6574062675838126 ], "rawPrediction" : [ -37.806767087841095, 37.806767087841095 ], "probability" : [ 3.80828704311553E-17, 1 ], "ocol1" : 1 }, { "id" : 1, "label" : 0, "col1" : 3, "col2" : 2, "col3" : -0.1, "features" : [ 3, 2, -0.1 ], "features2" : [ -2.9389857055027706, 0.48441694826197546 ], "rawPrediction" : [ 37.56770709258579, -37.56770709258579 ], "probability" : [ 1, 0 ], "ocol1" : 0 }, { "id" : 2, "label" : 1, "col1" : 0, "col2" : 2.2, "col3" : -1.5, "features" : [ 0, 2.2, -1.5 ], "features2" : [ 0.28609394877170796, 1.1822492465709793 ], "rawPrediction" : [ -19.168353441006694, 19.168353441006694 ], "probability" : [ 4.734671708106025E-9, 0.9999999952653283 ], "ocol1" : 1 })" :)
+(:JIQS: ShouldRun; Output="({ "id" : 0, "label" : 1, "col1" : -1, "col2" : 1.5, "col3" : 1.3, "features" : [ -1, 1.5, 1.3 ], "features2" : [ 0.6811443247067493, -1.6574062675838128 ], "rawPrediction" : [ -37.806767087841024, 37.806767087841024 ], "probability" : [ 3.8082870431158006E-17, 1 ], "ocol1" : 1 }, { "id" : 1, "label" : 0, "col1" : 3, "col2" : 2, "col3" : -0.1, "features" : [ 3, 2, -0.1 ], "features2" : [ -2.9389857055027706, 0.48441694826197546 ], "rawPrediction" : [ 37.56770709258576, -37.56770709258576 ], "probability" : [ 1, 0 ], "ocol1" : 0 }, { "id" : 2, "label" : 1, "col1" : 0, "col2" : 2.2, "col3" : -1.5, "features" : [ 0, 2.2, -1.5 ], "features2" : [ 0.28609394877170796, 1.1822492465709793 ], "rawPrediction" : [ -19.168353441006637, 19.168353441006637 ], "probability" : [ 4.734671708106294E-9, 0.9999999952653283 ], "ocol1" : 1 })" :)
 
 declare type local:mytype as {
  "id": "integer", "label": "integer", "col1": "decimal", "col2": "decimal", "col3": "decimal"

diff --git a/src/test/resources/test_files/RumbleML/RumbleML/MLPipeline4.jq b/src/test/resources/test_files/RumbleML/RumbleML/MLPipeline4.jq
@@ -1,4 +1,4 @@
-(:JIQS: ShouldRun; Output="({ "id" : 0, "label" : 1, "col1" : -1, "col2" : 1.5, "col3" : 1.3, "features" : [ -1, 1.5, 1.3 ], "rawPrediction" : [ -38.071372676778395, 38.071372676778395 ], "probability" : [ 2.9228930727443083E-17, 1 ], "prediction" : 1 }, { "id" : 1, "label" : 0, "col1" : 3, "col2" : 2, "col3" : -0.1, "features" : [ 3, 2, -0.1 ], "rawPrediction" : [ 36.29582598188425, -36.29582598188425 ], "probability" : [ 0.9999999999999998, 2.220446049250313E-16 ], "prediction" : 0 }, { "id" : 2, "label" : 1, "col1" : 0, "col2" : 2.2, "col3" : -1.5, "features" : [ 0, 2.2, -1.5 ], "rawPrediction" : [ -21.188416917061183, 21.188416917061183 ], "probability" : [ 6.280402132397163E-10, 0.9999999993719598 ], "prediction" : 1 })" :)
+(:JIQS: ShouldRun; Output="({ "id" : 0, "label" : 1, "col1" : -1, "col2" : 1.5, "col3" : 1.3, "features" : [ -1, 1.5, 1.3 ], "rawPrediction" : [ -38.071372676780044, 38.071372676780044 ], "probability" : [ 2.9228930727394895E-17, 1 ], "prediction" : 1 }, { "id" : 1, "label" : 0, "col1" : 3, "col2" : 2, "col3" : -0.1, "features" : [ 3, 2, -0.1 ], "rawPrediction" : [ 36.295825981882075, -36.295825981882075 ], "probability" : [ 0.9999999999999998, 2.220446049250313E-16 ], "prediction" : 0 }, { "id" : 2, "label" : 1, "col1" : 0, "col2" : 2.2, "col3" : -1.5, "features" : [ 0, 2.2, -1.5 ], "rawPrediction" : [ -21.18841691706346, 21.18841691706346 ], "probability" : [ 6.280402132382861E-10, 0.9999999993719598 ], "prediction" : 1 })" :)
 
 declare type local:mytype as  {"id": "integer", "label": "integer", "col1": "decimal", "col2": "decimal", "col3": "decimal"};
 

diff --git a/src/test/resources/test_files/RumbleML/RumbleML/MLPipeline5.jq b/src/test/resources/test_files/RumbleML/RumbleML/MLPipeline5.jq
@@ -1,4 +1,4 @@
-(:JIQS: ShouldRun; Output="({ "id" : 0, "label" : 1, "col1" : -1, "col2" : 1.5, "col3" : 1.3, "features" : [ -1, 1.5, 1.3 ], "rawPrediction" : [ -38.071372676778395, 38.071372676778395 ], "probability" : [ 2.9228930727443083E-17, 1 ], "prediction" : 1 }, { "id" : 1, "label" : 0, "col1" : 3, "col2" : 2, "col3" : -0.1, "features" : [ 3, 2, -0.1 ], "rawPrediction" : [ 36.29582598188425, -36.29582598188425 ], "probability" : [ 0.9999999999999998, 2.220446049250313E-16 ], "prediction" : 0 }, { "id" : 2, "label" : 1, "col1" : 0, "col2" : 2.2, "col3" : -1.5, "features" : [ 0, 2.2, -1.5 ], "rawPrediction" : [ -21.188416917061183, 21.188416917061183 ], "probability" : [ 6.280402132397163E-10, 0.9999999993719598 ], "prediction" : 1 })" :)
+(:JIQS: ShouldRun; Output="({ "id" : 0, "label" : 1, "col1" : -1, "col2" : 1.5, "col3" : 1.3, "features" : [ -1, 1.5, 1.3 ], "rawPrediction" : [ -38.07137267677621, 38.07137267677621 ], "probability" : [ 2.922893072750705E-17, 1 ], "prediction" : 1 }, { "id" : 1, "label" : 0, "col1" : 3, "col2" : 2, "col3" : -0.1, "features" : [ 3, 2, -0.1 ], "rawPrediction" : [ 36.29582598188709, -36.29582598188709 ], "probability" : [ 0.9999999999999998, 2.220446049250313E-16 ], "prediction" : 0 }, { "id" : 2, "label" : 1, "col1" : 0, "col2" : 2.2, "col3" : -1.5, "features" : [ 0, 2.2, -1.5 ], "rawPrediction" : [ -21.188416917058074, 21.188416917058074 ], "probability" : [ 6.280402132416686E-10, 0.9999999993719598 ], "prediction" : 1 })" :)
 declare type local:mytype as  {"id": "integer", "label": "integer", "col1": "decimal", "col2": "decimal", "col3": "decimal"};
 
 let $vector-assembler := get-transformer("VectorAssembler", {"inputCols" : [ "col1", "col2", "col3" ], "outputCol" : "features"})

diff --git a/src/test/resources/test_files/RumbleML/RumbleML/MLPipeline6.jq b/src/test/resources/test_files/RumbleML/RumbleML/MLPipeline6.jq
@@ -1,4 +1,4 @@
-(:JIQS: ShouldRun; Output="({ "id" : 0, "label" : 1, "col1" : -1, "col2" : 1.5, "col3" : 1.3, "features" : [ -1, 1.5, 1.3 ], "rawPrediction" : [ -38.071372676778395, 38.071372676778395 ], "probability" : [ 2.9228930727443083E-17, 1 ], "prediction" : 1 }, { "id" : 1, "label" : 0, "col1" : 3, "col2" : 2, "col3" : -0.1, "features" : [ 3, 2, -0.1 ], "rawPrediction" : [ 36.29582598188425, -36.29582598188425 ], "probability" : [ 0.9999999999999998, 2.220446049250313E-16 ], "prediction" : 0 }, { "id" : 2, "label" : 1, "col1" : 0, "col2" : 2.2, "col3" : -1.5, "features" : [ 0, 2.2, -1.5 ], "rawPrediction" : [ -21.188416917061183, 21.188416917061183 ], "probability" : [ 6.280402132397163E-10, 0.9999999993719598 ], "prediction" : 1 })" :)
+(:JIQS: ShouldRun; Output="({ "id" : 0, "label" : 1, "col1" : -1, "col2" : 1.5, "col3" : 1.3, "features" : [ -1, 1.5, 1.3 ], "rawPrediction" : [ -38.07137267677527, 38.07137267677527 ], "probability" : [ 2.922893072753446E-17, 1 ], "prediction" : 1 }, { "id" : 1, "label" : 0, "col1" : 3, "col2" : 2, "col3" : -0.1, "features" : [ 3, 2, -0.1 ], "rawPrediction" : [ 36.295825981888406, -36.295825981888406 ], "probability" : [ 0.9999999999999998, 2.220446049250313E-16 ], "prediction" : 0 }, { "id" : 2, "label" : 1, "col1" : 0, "col2" : 2.2, "col3" : -1.5, "features" : [ 0, 2.2, -1.5 ], "rawPrediction" : [ -21.188416917056745, 21.188416917056745 ], "probability" : [ 6.280402132425032E-10, 0.9999999993719598 ], "prediction" : 1 })" :)
 declare type local:mytype as  {"id": "integer", "label": "integer", "col1": "decimal", "col2": "decimal", "col3": "decimal"};
 
 let $pipeline := get-estimator("Pipeline", {