Result of Applying Noisy Harmonic Grammar to OTSoftInputFile.txt

1-27-2017, 6:22 p.m.

OTSoft 2.5, release date 1/17/2017

1. Weights Found

10.000       ConstantConstraint
1.000        VariableConstraint

2. Matchup to Input Frequencies


   /Input1/ Input Fr. Gen Fr.  Input #     Gen. #
   Cand1     0.000   0.000                      
   Cand2     1.000   1.000                100000

   /Input2/ Input Fr. Gen Fr.  Input #     Gen. #
   Cand1     0.000   0.000                      
   Cand2     0.000   1.000                100000

   /Input3/ Input Fr. Gen Fr.  Input #     Gen. #
   Cand1     0.000   0.000                      
   Cand2     0.000   1.000                100000

   /Input4/ Input Fr. Gen Fr.  Input #     Gen. #
   Cand1     0.000   0.000                      
   Cand2     0.000   1.000                100000

   /Input5/ Input Fr. Gen Fr.  Input #     Gen. #
   Cand1     0.000   0.000                     1
   Cand2     0.000   1.000                 99999

   /Input6/ Input Fr. Gen Fr.  Input #     Gen. #
   Cand1     0.000   0.000                    17
   Cand2     0.000   1.000                 99983

   /Input7/ Input Fr. Gen Fr.  Input #     Gen. #
   Cand1     0.000   0.002                   220
   Cand2     0.000   0.998                 99780

   /Input8/ Input Fr. Gen Fr.  Input #     Gen. #
   Cand1     0.000   0.018                  1779
   Cand2     0.000   0.982                 98221

   /Input9/ Input Fr. Gen Fr.  Input #     Gen. #
   Cand1     0.000   0.079                  7882
   Cand2     0.000   0.921                 92118

   /Input10/ Input Fr. Gen Fr.  Input #     Gen. #
   Cand1     0.000   0.241                 24124
   Cand2     0.000   0.759                 75876

   /Input11/ Input Fr. Gen Fr.  Input #     Gen. #
   Cand1     0.500   0.502                 50213
   Cand2     0.500   0.498                 49787

   /Input12/ Input Fr. Gen Fr.  Input #     Gen. #
   Cand1     0.000   0.757                 75742
   Cand2     0.000   0.243                 24258

   /Input13/ Input Fr. Gen Fr.  Input #     Gen. #
   Cand1     0.000   0.921                 92120
   Cand2     0.000   0.079                  7880

   /Input14/ Input Fr. Gen Fr.  Input #     Gen. #
   Cand1     0.000   0.984                 98396
   Cand2     0.000   0.016                  1604

   /Input15/ Input Fr. Gen Fr.  Input #     Gen. #
   Cand1     0.000   0.997                 99739
   Cand2     0.000   0.003                   261

   /Input16/ Input Fr. Gen Fr.  Input #     Gen. #
   Cand1     0.000   1.000                 99975
   Cand2     0.000   0.000                    25

   /Input17/ Input Fr. Gen Fr.  Input #     Gen. #
   Cand1     0.000   1.000                100000
   Cand2     0.000   0.000                      

   /Input18/ Input Fr. Gen Fr.  Input #     Gen. #
   Cand1     0.000   1.000                100000
   Cand2     0.000   0.000                      

   /Input19/ Input Fr. Gen Fr.  Input #     Gen. #
   Cand1     0.000   1.000                100000
   Cand2     0.000   0.000                      

   /input20/ Input Fr. Gen Fr.  Input #     Gen. #
   Cand1     1.000   1.000                100000
   Cand2     0.000   0.000                      

4. Testing the Grammar:  Details

The grammar was tested for 100000 cycles.

Average error per candidate:  39.748 percent

Learning time:  0.000 minutes



5. Parameter Values Used


   Noise was set at 1.

   Negative weights were not permitted.
   The number of times that a negative weight was reverted during learning and testing was 18060 out of 8000000 chances.

   The number of ties between winner and rival was 1 out of 4000000 chances.  Tie is within 0.00001.

   Noise was applied to constraints, hence the same for all candidates.

   Noise was applied after weights multiplied by violations.

   Initial Weights (final weights shown in parentheses)

10.000       10.000   10.000(10.000)   ConstantConstraint
1.000        1.000   1.000 (1.000)   VariableConstraint

   Schedule for GLA Parameters

      Stage   Trials   PlastMark  PlastFaith 
     1        0          0.100      0.100      
     2        0          0.022      0.022      
     3        0          0.005      0.005      
     4        0          0.001      0.001      

      There were a total of 0 learning trials.
