linking white paper and lower case irt model selection

app/lib/irt/item_information_function.py

@@ -21,7 +21,7 @@ class ItemInformationFunction():
                 return (self.model_data.a_param * q *
                         (p - self.model_data.c_param)**2) / (p * (
                             (1 - self.model_data.c_param)**2))
-            elif self.model_data.model == 'RASCH':
+            elif self.model_data.model == 'rasch':
                 p = Rasch(self.model_data, kwargs).result()
                 q = 1 - p
                 return p * q

app/lib/irt/item_response_function.py

@@ -11,7 +11,7 @@ class ItemResponseFunction():
     def calculate(self, **kwargs):
         if self.model_data.model == '3PL':
             return ThreeParameterLogistic(self.model_data, kwargs).result()
-        elif self.model_data.model == 'RASCH':
+        elif self.model_data.model == 'rasch':
             return Rasch(self.model_data, kwargs).result()
         else:
             raise ItemGenerationError("irt model not supported or provided")

app/lib/irt/models/rasch.py

@@ -5,6 +5,9 @@ from lib.irt.models.base import *
 class Rasch(Base):
 
   def result(self):
+    # contains the primary Rasch function, determining the probably of an inidividual
+    # that an individual at a certain theta would get a particular question correct
+    # https://edres.org/irt/baker/chapter6.pdf
     return (1 / (1 + self.e(-1 * (self.theta - self.b_param))))
 
   @classmethod

app/services/form_generation_service.py

@@ -1,6 +1,6 @@
 import json, random, io, logging
 
-from pulp import LpProblem, LpVariable, LpMinimize, LpMaximize, LpAffineExpression, LpConstraint, LpStatus, lpSum
+from pulp import LpProblem, LpVariable, LpMinimize, LpStatus, lpSum
 
 from lib.application_configs import ApplicationConfigs
 from helpers import aws_helper, tar_helper, csv_helper, service_helper, solver_helper