def AddConfig(self, p_sConfigFileName=None):
if p_sConfigFileName is None:
sSourceFileName = self.TemplateConfigFileName
else:
sSourceFileName = p_sConfigFileName
_, sName, _ = Storage.SplitFileName(sSourceFileName)
# Gets the current run/evaluation counter
nCounter = self.__readCounter()
oConfig = NNLearnConfig()
oConfig.LoadFromFile(sSourceFileName)
sDestFileNames = None
if oConfig.LearningRateSequence is not None:
nCounter, sDestFileNames = self.__sequenceLearningRate(
sSourceFileName, oConfig.LearningRateSequence, nCounter)
elif oConfig.FoldSequence is not None:
nCounter, sDestFileNames = self.__sequenceFoldNumber(
sSourceFileName, oConfig.FoldSequence, nCounter)
# for nFoldNumber in oConfig.FoldSequence:
# oNewConfig = NNLearnConfig()
# oNewConfig.LoadFromFile(sSourceFileName)
# oNewConfig.FoldNumber = nFoldNumber
# sDestFileName = Storage.JoinFileName(self.PendingFolder, "%.3d-" % nCounter + sName, ".cfg")
# oNewConfig.SaveToFile(sDestFileName)
# nCounter += 1
else:
sDestFileNames = [
Storage.JoinFileName(self.PendingFolder,
"%.3d-" % nCounter + sName, ".cfg")
]
Storage.CopyFile(sSourceFileName, sDestFileNames[0])
nCounter += 1
# Saves the current run/evaluation counter
self.__writeCounter()
return sDestFileNames
def Activate(self):
""" Returns
True : If a new experiment folder is created and the configuration was copied there
False: If an existing experiment folder is reused
"""
assert self.LearnConfig is not None, "Method requires a learn configuration."
if self.LearnConfig.SavedExperimentUID is not None:
self.Open(self.LearnConfig.FoldNumber,
self.LearnConfig.SavedExperimentUID)
bMustArchive = False
else:
if self.LearnConfig.IsTraining:
self.Begin()
# Copies the source configuration file to the experiment subfolder "config"
Storage.CopyFile(self.LearnConfig.FileName,
self.RunSub.LearnConfigFileName, True)
bMustArchive = True
else:
self.Open()
bMustArchive = False
return bMustArchive