def __init__(self, thisData, thisEerObject, thisCllrObject, thisConfig, thisExpName, thisDebug):
self._debug = thisDebug
self.data = thisData
self._eerObject = thisEerObject
self._cllrObject = thisCllrObject
self.config = thisConfig
self._expName = thisExpName
self._printToFilename = thisExpName
self.debug = thisDebug
Probability.__init__(self, self.data, self.config, self.debug)
self.plotType = 'det_plot'
self.fig = None
self.event = None
# Values required for linear scale => gaussian scale conversion at __ppndf__()
self.__SPLIT__ = 0.42
self.__A0__ = 2.5066282388
self.__A1__ = -18.6150006252
self.__A2__ = 41.3911977353
self.__A3__ = -25.4410604963
self.__B1__ = -8.4735109309
self.__B2__ = 23.0833674374
self.__B3__ = -21.0622410182
self.__B4__ = 3.1308290983
self.__C0__ = -2.7871893113
self.__C1__ = -2.2979647913
self.__C2__ = 4.8501412713
self.__C3__ = 2.3212127685
self.__D1__ = 3.5438892476
self.__D2__ = 1.6370678189
self.__EPS__ = 2.2204e-16
def __init__(self, thisData, thisEerObject, thisCllrObject, thisConfig,
thisExpName, thisDebug):
self._debug = thisDebug
self.data = thisData
self._eerObject = thisEerObject
self._cllrObject = thisCllrObject
self.config = thisConfig
self._expName = thisExpName
self._printToFilename = thisExpName
self.debug = thisDebug
Probability.__init__(self, self.data, self.config, self.debug)
self.plotType = 'det_plot'
self.fig = None
self.event = None
# Values required for linear scale => gaussian scale conversion at __ppndf__()
self.__SPLIT__ = 0.42
self.__A0__ = 2.5066282388
self.__A1__ = -18.6150006252
self.__A2__ = 41.3911977353
self.__A3__ = -25.4410604963
self.__B1__ = -8.4735109309
self.__B2__ = 23.0833674374
self.__B3__ = -21.0622410182
self.__B4__ = 3.1308290983
self.__C0__ = -2.7871893113
self.__C1__ = -2.2979647913
self.__C2__ = 4.8501412713
self.__C3__ = 2.3212127685
self.__D1__ = 3.5438892476
self.__D2__ = 1.6370678189
self.__EPS__ = 2.2204e-16
def __init__(self, thisData, thisCllrWrapper, thisConfig, thisExpName, thisDebug=True):
self.data = thisData
self.cllr = thisCllrWrapper
self.config = thisConfig
self._printToFilename = thisExpName
self._expName = thisExpName
self.debug = thisDebug
Probability.__init__(self, self.data, self.config, self.debug)
self.plotType = 'eer_plot'
self.fig = None
self.event = None
metaDataValues = self.data.getMetaDataValues()
metaColors = self.config.getMetaColors()
self.colors = assignColors2MetaDataValue(metaDataValues, metaColors)
self.eerData = self.computeProbabilities(self.eerFunc)
self.eerValue = {}
self.score = {}
for thisMetaValue in sorted(self.colors.keys()):
for metaValue, PD, PP, X in self.eerData:
if thisMetaValue == metaValue:
try:
self.eerValue[metaValue], self.score[metaValue] = self.computeEer(PD, PP, X)
print("EER: {:.4f} % at score: {:.4f} and meta value: {}".format(
self.eerValue[metaValue] * 100, self.score[metaValue], metaValue)
)
except Exception as e:
print("Problem computing EER for %s: %s" % (thisMetaValue, e))
else:
self.eerValue[metaValue] *= 100
break
def __init__(self, thisData, thisEer, thisCllr, thisConfig, thisExpName, thisDebug=True):
self.data = thisData
self._eerObject = thisEer
self._cllrObject = thisCllr
self.config = thisConfig
self._expName = thisExpName
self._printToFilename = thisExpName
self.debug = thisDebug
self.plotType = 'roc_plot'
self.fig = None
self.event = None
Probability.__init__(self, self.data, self.config, self.debug)
def __init__(self,
thisData,
thisEer,
thisCllr,
thisConfig,
thisExpName,
thisDebug=True):
self.data = thisData
self._eerObject = thisEer
self._cllrObject = thisCllr
self.config = thisConfig
self._expName = thisExpName
self._printToFilename = thisExpName
self.debug = thisDebug
self.plotType = 'roc_plot'
self.fig = None
self.event = None
Probability.__init__(self, self.data, self.config, self.debug)
def __init__(self,
thisData,
thisCllrWrapper,
thisConfig,
thisExpName,
thisDebug=True):
self.data = thisData
self.cllr = thisCllrWrapper
self.config = thisConfig
self._printToFilename = thisExpName
self._expName = thisExpName
self.debug = thisDebug
Probability.__init__(self, self.data, self.config, self.debug)
self.plotType = 'eer_plot'
self.fig = None
self.event = None
metaDataValues = self.data.getMetaDataValues()
metaColors = self.config.getMetaColors()
self.colors = assignColors2MetaDataValue(metaDataValues, metaColors)
self.eerData = self.computeProbabilities(self.eerFunc)
self.eerValue = {}
self.eerScore = {}
for thisMetaValue in sorted(self.colors.keys()):
for metaValue, PD, PP, X in self.eerData:
if thisMetaValue == metaValue:
try:
self.eerValue[metaValue], self.eerScore[
metaValue] = self.computeEer(PD, PP, X)
print(
"EER: {:.4f} % at score: {:.4f} and meta value: {}"
.format(self.eerValue[metaValue] * 100,
self.eerScore[metaValue], metaValue))
except Exception as e:
print("Problem computing EER for %s: %s" %
(thisMetaValue, e))
else:
self.eerValue[metaValue] *= 100
break