def compareAlgorithmsWithData(testCases):
global algosToTest, data, headers, testOutputFilename
allResults = {}
for key in algosToTest.keys():
allResults[key] = []
for companyName in sorted(testCases.keys()):
print('Testing ' + companyName)
data, headers = para.readFile(display.nameToFile(companyName))
for key in sorted(algosToTest.keys()):
#print(' algo ' + key)
for target in testCases[companyName]:
algo = algosToTest[key]
result = testAlgo(algo, target)
if result != None:
allResults[key].append(result)
#printResult(key, result)
averageResults = {}
f = open(testOutputFilename, 'w+')
for key in allResults.keys():
averageResult = computeAverageResult(allResults[key])
s = formatResult(key, averageResult)
f.write(s+'\n')
f.close()
def testAlgorithmsForAverageScore(testCases, weightDict):
allResults = []
weightDataFun = weightedData(weightDict)
for companyName in testCases.keys():
#print('Testing ' + companyName)
data, headers = para.readFile(display.nameToFile(companyName))
for key in algosToTest.keys():
#print(' algo ' + key)
algo = algosToTest[key]
for target in testCases[companyName]:
result = testAlgoWeighted(algo, target, weightDataFun, data)
if result != None:
allResults.append(result)
averageResult = testalgos.computeAverageResult(allResults)
return averageResult[2] # Maximise the amount of return alone.
