def guess_fuzzy(data, word, limit=1, maxdist=1):
"""
Fuzzywuzzy guess
Args:
limit (int): the max number of items to return.
maxdist (int): the max allowed edit distance.
"""
hits = process.extract(word, data.keys(), limit=limit)
output = []
for w, s in hits:
d = levenshtein.levenshtein2(word, w)
if d > maxdist:
continue
curves = data[w]
for c in curves:
result = {"distance": d,
"score": s,
"mnemonic": w,
"curve": c}
output.append(result)
key = word + '-' + 'fuzzy' + '-' + str(limit) + str(maxdist)
memcache.set(key, output)
return output
def getImageFilename(options):
startDate = options["from"]
endDate = options["to"]
days = getDailyMeasurements(startDate, endDate)
measurementName = options["metric"]
measurements = process.extract(days, measurementName)
if not options["isTotal"]:
measurements = process.dailyIncrease(measurements)
if not options["isRaw"]:
measurements = process.sevenDayAverage(measurements)
numMeasurements = len(measurements)
dayCounter = range(1, numMeasurements + 1)
filename = saveImage(dayCounter, measurements)
return filename
def main():
array_data, classifications = process.extract(IGNORE_INCOMPLETE_ENTRIES)
train_data, test_data, train_classes, test_classes = process.split(
array_data, classifications, TRAIN_FRACTION)
#basicMLP(train_data, train_classes, test_data, test_classes)
#parameterMLP(train_data, train_classes, test_data, test_classes)
MLPScaling(train_data, train_classes, test_data, test_classes)
def OnOK(self, event):
singleChoiceList = process.extract(self.richTextCtrlSource.GetValue())
if singleChoiceList:
singleChoiceDialog = wx.SingleChoiceDialog(
self, 'Select a NOTAM to process:', 'NOTAM Selection',
singleChoiceList)
if os.name == 'posix':
singleChoiceDialog.Maximize()
if singleChoiceDialog.ShowModal() == wx.ID_OK:
self.informationList = [
singleChoiceDialog.GetStringSelection()
]
singleChoiceDialog.Destroy()
informationDialog = InformationDialog(self.informationList)
else:
stringMessage = 'ERROR: Cannot read source. An incorrectly formatted NOTAM is detected.'
messageDialog = wx.MessageDialog(self, stringMessage, 'Error',
wx.OK | wx.ICON_EXCLAMATION)
messageDialog.ShowModal()
messageDialog.Destroy()
def guess_fuzzy(data,word,lim):
hits = process.extract(word,data.keys(),limit=lim)
output = {}
for hit in hits:
output[(hit[1],hit[0])] = data[hit[0]]
key = word + '-' + 'fuzzy' + '-' + str(lim)
memcache.set(key,output)
return output
def guess_fuzzy(data, word, lim):
hits = process.extract(word, data.keys(), limit=lim)
output = {}
for hit in hits:
output[(hit[1], hit[0])] = data[hit[0]]
key = word + '-' + 'fuzzy' + '-' + str(lim)
memcache.set(key, output)
return output
def OnOK(self, event):
singleChoiceList = process.extract(self.richTextCtrlSource.GetValue())
if singleChoiceList:
singleChoiceDialog = wx.SingleChoiceDialog(self, 'Select a NOTAM to process:', 'NOTAM Selection', singleChoiceList)
if os.name == 'posix':
singleChoiceDialog.Maximize()
if singleChoiceDialog.ShowModal() == wx.ID_OK:
self.informationList = [singleChoiceDialog.GetStringSelection()]
singleChoiceDialog.Destroy()
informationDialog = InformationDialog(self.informationList)
else:
stringMessage = 'ERROR: Cannot read source. An incorrectly formatted NOTAM is detected.'
messageDialog = wx.MessageDialog(self, stringMessage, 'Error', wx.OK | wx.ICON_EXCLAMATION)
messageDialog.ShowModal()
messageDialog.Destroy()
def main():
array_data, classifications = process.extract(IGNORE_INCOMPLETE_ENTRIES)
best_tree = findBestTree(array_data, classifications)
def main():
array_data, classifications = process.extract(IGNORE_INCOMPLETE_ENTRIES)
train_data, test_data, train_classes, test_classes = process.split(
array_data, classifications, TRAIN_FRACTION)
gnb(train_data, train_classes, test_data, test_classes)
cnb(train_data, train_classes, test_data, test_classes)
