本文整理汇总了Python中utilities.Utilities.createDirectory方法的典型用法代码示例。如果您正苦于以下问题：Python Utilities.createDirectory方法的具体用法？Python Utilities.createDirectory怎么用？Python Utilities.createDirectory使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类utilities.Utilities的用法示例。
在下文中一共展示了Utilities.createDirectory方法的7个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: generateRawDataForGivenSetOfUsers
# 需要导入模块: from utilities import Utilities [as 别名]
# 或者: from utilities.Utilities import createDirectory [as 别名]
def generateRawDataForGivenSetOfUsers(numberOfUsersList):
for numberOfUsers in numberOfUsersList:
currentTime = Settings.startTime
allExpertsTop, allExpertsBottom = (
ExpertUsers(number=numberOfUsers),
ExpertUsers(number=numberOfUsers, type=ExpertUsers.typeBottom),
)
allExpertsList = {}
for k, v in allExpertsTop.list.iteritems():
allExpertsList[k] = v
for k, v in allExpertsBottom.list.iteritems():
allExpertsList[k] = v
while currentTime <= Settings.endTime:
trainingFile = Utilities.getTrainingFile(currentTime, DocumentType.typeRaw, numberOfUsers)
testFile = Utilities.getTestFile(currentTime, DocumentType.typeRaw, numberOfUsers, bottom=True)
Utilities.createDirectory(trainingFile), Utilities.createDirectory(testFile)
print numberOfUsers, Settings.twitterUsersTweetsFolder + "%s.gz" % Utilities.getDataFile(currentTime)
for tweet in CreateTrainingAndTestSets.getTweetsFromExperts(
allExpertsList, Settings.twitterUsersTweetsFolder + "%s.gz" % Utilities.getDataFile(currentTime)
):
tweet["class"] = allExpertsList[tweet["user"]["id_str"]]["class"]
if tweet["user"]["id_str"] in allExpertsTop.list:
Utilities.writeAsJsonToFile(tweet, trainingFile)
else:
Utilities.writeAsJsonToFile(tweet, testFile)
currentTime += timedelta(days=1)示例2: __init__
# 需要导入模块: from utilities import Utilities [as 别名]
# 或者: from utilities.Utilities import createDirectory [as 别名]
def __init__(self, currentTime, dataType, numberOfExperts):
self.currentTime = currentTime
self.numberOfExperts = numberOfExperts
self.inputTrainingSetFile = Utilities.getTrainingFile(currentTime, dataType, self.numberOfExperts)
self.inputTestSetFile = Utilities.getTestFile(currentTime, dataType, self.numberOfExperts, bottom=True)
self.outputCombinedFile = Utilities.getStreamingSetsFile(currentTime, dataType, numberOfExperts)
Utilities.createDirectory(self.outputCombinedFile)示例3: generateRawDataForIntermediateSetOfUsers
# 需要导入模块: from utilities import Utilities [as 别名]
# 或者: from utilities.Utilities import createDirectory [as 别名]
def generateRawDataForIntermediateSetOfUsers():
currentTime = Settings.startTime
allExpertsTop = ExpertUsers(Settings.numberOfExperts)
allExpertsIntermediate = ExpertUsers(Settings.numberOfExpertsSecondSet)
allExpertsList = {}
for k, v in allExpertsTop.list.iteritems():
del allExpertsIntermediate.list[k]
for k, v in allExpertsIntermediate.list.iteritems():
allExpertsList[k] = v
while currentTime <= Settings.endTime:
for numberOfExperts in [Settings.numberOfExpertsSecondSet]:
trainingFile = Utilities.getTrainingFile(currentTime, DocumentType.typeRaw, numberOfExperts)
Utilities.createDirectory(trainingFile)
print numberOfExperts, Settings.twitterUsersTweetsFolder + "%s.gz" % Utilities.getDataFile(currentTime)
for tweet in CreateTrainingAndTestSets.getTweetsFromExperts(
allExpertsList, Settings.twitterUsersTweetsFolder + "%s.gz" % Utilities.getDataFile(currentTime)
):
tweet["class"] = allExpertsList[tweet["user"]["id_str"]]["class"]
Utilities.writeAsJsonToFile(tweet, trainingFile)
currentTime += timedelta(days=1)示例4: generate
# 需要导入模块: from utilities import Utilities [as 别名]
# 或者: from utilities.Utilities import createDirectory [as 别名]
def generate(self):
for inputUnigramFile, inputUnigramNounsFile, inputUnigramWithMetaFile, outputFile in [
(
self.inputUnigramTrainingSetFile,
self.inputUnigramNounsTrainingSetFile,
self.inputUnigramWithMetaTrainingSetFile,
self.outputTrainingSetFile,
),
(
self.inputUnigramTestSetFile,
self.inputUnigramNounsTestSetFile,
self.inputUnigramWithMetaTestSetFile,
self.outputTestSetFile,
),
]:
Utilities.createDirectory(outputFile)
unigramIterator, unigramNounsIterator, unigramWithMetaIterator = (
Utilities.iterateTweetsFromFileWithTerminatingNone(inputUnigramFile),
Utilities.iterateTweetsFromFileWithTerminatingNone(inputUnigramNounsFile),
Utilities.iterateTweetsFromFileWithTerminatingNone(inputUnigramWithMetaFile),
)
unigramTweet, unigramNounTweet, unigramWithMetaTweet = (
unigramIterator.next(),
unigramNounsIterator.next(),
unigramWithMetaIterator.next(),
)
while unigramTweet != None and unigramWithMetaTweet != None and unigramNounTweet != None:
data = {}
for k in DocumentType.keys:
data[k] = unigramNounTweet[k]
data["screen_name"] = unigramNounTweet["screen_name"]
data["user_id"] = unigramNounTweet["user_id"]
data["document"] = (
unigramNounTweet["document"] + unigramWithMetaTweet["document"][len(unigramTweet["document"]) :]
)
Utilities.writeAsJsonToFile(data, outputFile)
unigramTweet, unigramNounTweet, unigramWithMetaTweet = (
unigramIterator.next(),
unigramNounsIterator.next(),
unigramWithMetaIterator.next(),
)示例5: discoverAndWrite
# 需要导入模块: from utilities import Utilities [as 别名]
# 或者: from utilities.Utilities import createDirectory [as 别名]
def discoverAndWrite(self):
Utilities.createDirectory(self.collocationsFile)
finder = BigramCollocationFinder.from_words(Utilities.getWordsFromTweets(fileNameMethod=Utilities.getTrainingFile, dataDirection=DataDirection.past, **self.kwargs))
finder.apply_word_filter(lambda w: w in Utilities.stopwords)
scored = finder.score_ngrams(self.getMeasure())
for ((u,v),s) in scored[:int(len(scored)*Settings.collocations_percentage_of_collocations_to_output)]: Utilities.writeDataToFile(' '.join([u,v,str(s)]), self.collocationsFile)示例6: trainAndSave
# 需要导入模块: from utilities import Utilities [as 别名]
# 或者: from utilities.Utilities import createDirectory [as 别名]
def trainAndSave(self):
Utilities.createDirectory(self.trainedClassifierFile)
self.trainClassifier(((d['data'], d['class'])for d in Utilities.iterateJsonFromFile(Settings.globalClassifierData)))
Classifier.saveClassifier(self.classifier, self.trainedClassifierFile)示例7: saveClassifier
# 需要导入模块: from utilities import Utilities [as 别名]
# 或者: from utilities.Utilities import createDirectory [as 别名]
def saveClassifier(classifier, fileName):
Utilities.createDirectory(fileName)
cPickle.dump(classifier, open(fileName, 'w'))