Been working on success counts for histograms showing performance of alpha

ProbConfusionAnalysis.ipynb

@@ -1308,7 +1308,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.7.1"
+   "version": "3.7.2"
   }
  },
  "nbformat": 4,

ProbConfusionAnalysis_dep.ipynb

@@ -1334,7 +1334,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.7.1"
+   "version": "3.7.2"
   }
  },
  "nbformat": 4,

botSimTODOS.todo

@@ -6,7 +6,7 @@ Code:
 
 
 Experiments:
- ☐ 5% and 10%
+ ✔ 5% and 10% @done (19-04-04 17:39)
  ☐ 2.5% and 7.5%
 
  - _0 logs contain paramsets 1-5 complete
@@ -19,3 +19,4 @@ Experiments:
 
 Analysis:
 
+ ☐ See why the aggregation on beliefs doesn't work for the options 0 and 1 case
\ No newline at end of file

testParams.csv

 paramSet,alpha,chance,note,sigma
-1,0.0,5%,control,0.0717
-2,0.1,5%,control,0.0717
-3,0.2,5%,control,0.0717
-4,0.3,5%,control,0.0717
-5,0.4,5%,control,0.0717
-6,0.05,5%,q2 prob,0.0717
-7,0.006328538735734794,5%,mean,0.0717
-8,0.0,10%,control,0.092
-9,0.1,10%,control,0.092
-10,0.2,10%,control,0.092
-11,0.3,10%,control,0.092
-12,0.4,10%,control,0.092
-13,0.1,10%,q2 prob,0.092
-14,0.01317041146831397,10%,mean,0.092
-15,0.0,2.5%,control,0.0602
-16,0.1,2.5%,control,0.0602
-17,0.2,2.5%,control,0.0602
-18,0.3,2.5%,control,0.0602
-19,0.4,2.5%,control,0.0602
-20,0.025,2.5%,q2 prob,0.0602
-21,0.0031475154252090347,2.5%,mean,0.0602
-22,0.0,7.5%,control,0.082
-23,0.1,7.5%,control,0.082
-24,0.2,7.5%,control,0.082
-25,0.3,7.5%,control,0.082
-26,0.4,7.5%,control,0.082
-27,0.075,7.5%,q2 prob,0.082
-28,0.00967016335700319,7.5%,mean,0.082
+1,0.0,5,control,0.0717
+2,0.1,5,control,0.0717
+3,0.2,5,control,0.0717
+4,0.3,5,control,0.0717
+5,0.4,5,control,0.0717
+6,0.05,5,q2 prob,0.0717
+7,0.006328538735734794,5,mean,0.0717
+8,0.0,10,control,0.092
+9,0.1,10,control,0.092
+10,0.2,10,control,0.092
+11,0.3,10,control,0.092
+12,0.4,10,control,0.092
+13,0.1,10,q2 prob,0.092
+14,0.01317041146831397,10,mean,0.092
+15,0.0,2.5,control,0.0602
+16,0.1,2.5,control,0.0602
+17,0.2,2.5,control,0.0602
+18,0.3,2.5,control,0.0602
+19,0.4,2.5,control,0.0602
+20,0.025,2.5,q2 prob,0.0602
+21,0.0031475154252090347,2.5,mean,0.0602
+22,0.0,7.5,control,0.082
+23,0.1,7.5,control,0.082
+24,0.2,7.5,control,0.082
+25,0.3,7.5,control,0.082
+26,0.4,7.5,control,0.082
+27,0.075,7.5,q2 prob,0.082
+28,0.00967016335700319,7.5,mean,0.082