Result of Applying Noisy Harmonic Grammar to OTSoftInputFile.txt

2-17-2017, 7:28 p.m.

OTSoft 2.5, release date 1/17/2017

1. Weights Found

20.000       ConstantConstraint
2.000        VariableConstraint

2. Matchup to Input Frequencies


   /Input1/ Input Fr. Gen Fr.  Input #     Gen. #
   Cand1     0.001   0.000                      
   Cand2     0.999   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   0.002                   170
   Cand2     0.000   0.998                 99830

   /Input6/ Input Fr. Gen Fr.  Input #     Gen. #
   Cand1     0.000   0.025                  2495
   Cand2     0.000   0.975                 97505

   /Input7/ Input Fr. Gen Fr.  Input #     Gen. #
   Cand1     0.000   0.095                  9548
   Cand2     0.000   0.905                 90452

   /Input8/ Input Fr. Gen Fr.  Input #     Gen. #
   Cand1     0.000   0.195                 19490
   Cand2     0.000   0.805                 80510

   /Input9/ Input Fr. Gen Fr.  Input #     Gen. #
   Cand1     0.000   0.309                 30918
   Cand2     0.000   0.691                 69082

   /Input10/ Input Fr. Gen Fr.  Input #     Gen. #
   Cand1     0.000   0.411                 41078
   Cand2     0.000   0.589                 58922

   /Input11/ Input Fr. Gen Fr.  Input #     Gen. #
   Cand1     0.000   0.500                 50037
   Cand2     0.000   0.500                 49963

   /Input12/ Input Fr. Gen Fr.  Input #     Gen. #
   Cand1     0.000   0.572                 57170
   Cand2     0.000   0.428                 42830

   /Input13/ Input Fr. Gen Fr.  Input #     Gen. #
   Cand1     0.000   0.628                 62847
   Cand2     0.000   0.372                 37153

   /Input14/ Input Fr. Gen Fr.  Input #     Gen. #
   Cand1     0.000   0.676                 67621
   Cand2     0.000   0.324                 32379

   /Input15/ Input Fr. Gen Fr.  Input #     Gen. #
   Cand1     0.000   0.717                 71673
   Cand2     0.000   0.283                 28327

   /Input16/ Input Fr. Gen Fr.  Input #     Gen. #
   Cand1     0.000   0.747                 74702
   Cand2     0.000   0.253                 25298

   /Input17/ Input Fr. Gen Fr.  Input #     Gen. #
   Cand1     0.000   0.775                 77519
   Cand2     0.000   0.225                 22481

   /Input18/ Input Fr. Gen Fr.  Input #     Gen. #
   Cand1     0.000   0.795                 79485
   Cand2     0.000   0.205                 20515

   /Input19/ Input Fr. Gen Fr.  Input #     Gen. #
   Cand1     0.000   0.811                 81067
   Cand2     0.000   0.189                 18933

   /input20/ Input Fr. Gen Fr.  Input #     Gen. #
   Cand1     0.999   0.827                 82727
   Cand2     0.001   0.173                 17273

4. Testing the Grammar:  Details

The grammar was tested for 100000 cycles.

Average error per candidate:  32.372 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 45541 out of 4000000 chances.

   The number of ties between winner and rival was 0 out of 4000000 chances.  Tie is within 0.00001.

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

   Noise was applied before weights multiplied by violations.

   Initial Weights (final weights shown in parentheses)

20.000       20.000   20.000(20.000)   ConstantConstraint
2.000        2.000   2.000 (2.000)   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.
