def test_whenIterationIsNewUserRecordConfusionMatrix(self):
possibleRewards = [0,1]
performanceRecord = PerformanceRecord(possibleRewards)
performanceRecord.recordMove(1, 2)
performanceResult = PerformanceResult()
iteration = 1
performanceResult.addRecord(iteration, performanceRecord)
self.assertEqual(performanceRecord.confusionMatrix, performanceResult.results[iteration]["ConfusionMatrix"])
def test_whenRecordIsAddedAccumulatedRewardIsAppended(self): possibleRewards = [0,2,1] performanceRecord1 = PerformanceRecord(possibleRewards) performanceRecord1.recordMove(1, 1) performanceRecord2 = PerformanceRecord(possibleRewards) performanceRecord2.recordMove(2, 1) iteration = 1 performanceResult = PerformanceResult() performanceResult.addRecord(iteration, performanceRecord1) performanceResult.addRecord(iteration, performanceRecord2) self.assertEqual(1, performanceResult.results[iteration]["AccumulatedReward"][0]) self.assertEqual(2, performanceResult.results[iteration]["AccumulatedReward"][1])
def test_whenIterationExistsMergeConfusionMatrices(self): possibleRewards = [0,1] performanceRecord1 = PerformanceRecord(possibleRewards) performanceRecord1.recordMove(0, 0) performanceRecord2 = PerformanceRecord(possibleRewards) performanceRecord2.recordMove(1, 1) iteration = 1 performanceResult = PerformanceResult() performanceResult.addRecord(iteration, performanceRecord1) performanceResult.addRecord(iteration, performanceRecord2) self.assertEqual(1, performanceResult.results[iteration]["ConfusionMatrix"].confusionMatrix[1][0]) self.assertEqual(1, performanceResult.results[iteration]["ConfusionMatrix"].confusionMatrix[0][0])
def run(self, noIterations, noTrials):
self.results = PerformanceResult()
for trial in range(noTrials):
agent = self.agentFactory.createAgent()
iterationPerformance = agent.solveMaze(noIterations)
self.results.addTrialRecords(iterationPerformance)
return self.results
class Experiment():
def __init__(self, agentFactory):
self.agentFactory = agentFactory
def run(self, noIterations, noTrials):
self.results = PerformanceResult()
for trial in range(noTrials):
agent = self.agentFactory.createAgent()
iterationPerformance = agent.solveMaze(noIterations)
self.results.addTrialRecords(iterationPerformance)
return self.results
def saveResults(self, name):
with open(name, "w") as resultsFile:
resultsFile.write(json.dumps(self.results.toJSON()))
