def __init__(self, pdh):
self.pdh = pdh
fileReader = PcssFileReader(self.pdh.internalConfig["benchmark_model_map_file_name"])
lines = fileReader.getLines()
self.ModelMapTuple = myCollections.namedtuple('modelMap', ['frontendName', 'benchmarkScoreName', 'modelFileName'])
self.modelMap = {}
for line in lines:
[frontendName, benchmarkScoreName, modelFileName] = line.split('\t')
mmt = self.ModelMapTuple(frontendName, benchmarkScoreName, modelFileName)
self.modelMap[frontendName] = mmt
self.initSubclass()
def __init__(self, pdh):
self.pdh = pdh
fileReader = PcssFileReader(
self.pdh.internalConfig["benchmark_model_map_file_name"])
lines = fileReader.getLines()
self.ModelMapTuple = myCollections.namedtuple(
'modelMap',
['frontendName', 'benchmarkScoreName', 'modelFileName'])
self.modelMap = {}
for line in lines:
[frontendName, benchmarkScoreName,
modelFileName] = line.split('\t')
mmt = self.ModelMapTuple(frontendName, benchmarkScoreName,
modelFileName)
self.modelMap[frontendName] = mmt
self.initSubclass()
def __init__(self, runner):
self.pcssRunner = runner
self.TestSetTprAveragesTuple = myCollections.namedtuple('singleTpr', ['tpr', 'fpr', 'score', 'fprStdev'])
self.allTestSetResults = []
def __init__(self):
self._results = []
self.ScoreTuple = myCollections.namedtuple('svmScore', ['fpr', 'tpr', 'score'])
def setupTuple(self):
self.BenchmarkPeptideScoreTuple = myCollections.namedtuple('peptideScore', ['peptide', 'score', 'positiveCount', 'negativeCount', 'tpr', 'fpr'])
def __init__(self, pcssRunner):
self.pcssRunner = pcssRunner
self.PeptideScoreTuple = myCollections.namedtuple('peptideScore', ['peptide', 'score'])
self.peptides = []
self.pstList = []
