Python get_ts Examples

Example #1

File: nbmatcher.py Project: Yashg19/enrique

 def __init__(self, *args, **kwargs):
     name = kwargs.pop('name', None)
     if name is None:
         self.name = 'NaiveBayes'+ '_' + get_ts()
     else:
         self.name = name
     super(NBMatcher, self).__init__()
     self.clf = GaussianNB(*args, **kwargs)

Example #2

File: linregmatcher.py Project: paulgc/magellan

 def __init__(self, *args, **kwargs):
     super(LinRegMatcher, self).__init__()
     name = kwargs.pop('name', None)
     if name is None:
         self.name = 'LinearRegression' + '_' + get_ts()
     else:
         self.name = name
     self.clf = LinRegClassifierSKLearn(*args, **kwargs)

Example #3

File: logregmatcher.py Project: Yashg19/enrique

 def __init__(self, *args, **kwargs):
     name = kwargs.pop('name', None)
     if name is None:
         self.name = 'LogisticRegression'+ '_' + get_ts()
     else:
         self.name = name
     super(LogRegMatcher, self).__init__()
     self.clf = LogisticRegression(*args, **kwargs)

Example #4

File: rfmatcher.py Project: paulgc/magellan

 def __init__(self, *args, **kwargs):
     super(RFMatcher, self).__init__()
     name = kwargs.pop('name', None)
     if name is None:
         self.name = 'RandomForest'+ '_' + get_ts()
     else:
         self.name = name
     self.clf = RandomForestClassifier(*args, **kwargs)

Example #5

File: svmmatcher.py Project: Yashg19/enrique

 def __init__(self, *args, **kwargs):
     super(SVMMatcher, self).__init__()
     name = kwargs.pop('name', None)
     if name is None:
         self.name = 'SVM'+ '_' + get_ts()
     else:
         self.name = name
     self.clf = SVC(*args, **kwargs)

Example #6

File: nbmatcher.py Project: epaulson/enrique

 def __init__(self, *args, **kwargs):
     name = kwargs.pop('name', None)
     if name is None:
         self.name = 'NaiveBayes' + '_' + get_ts()
     else:
         self.name = name
     super(NBMatcher, self).__init__()
     self.clf = GaussianNB(*args, **kwargs)

Example #7

 def __init__(self, *args, **kwargs):
     super(SVMMatcher, self).__init__()
     name = kwargs.pop('name', None)
     if name is None:
         self.name = 'SVM' + '_' + get_ts()
     else:
         self.name = name
     self.clf = SVC(*args, **kwargs)

Example #8

 def __init__(self, *args, **kwargs):
     name = kwargs.pop('name', None)
     if name is None:
         self.name = 'LogisticRegression'+ '_' + get_ts()
     else:
         self.name = name
     super(LogRegMatcher, self).__init__()
     self.clf = LogisticRegression(*args, **kwargs)

Example #9

File: linregmatcher.py Project: epaulson/enrique

 def __init__(self, *args, **kwargs):
     super(LinRegMatcher, self).__init__()
     name = kwargs.pop('name', None)
     if name is None:
         self.name = 'LinearRegression' + '_' + get_ts()
     else:
         self.name = name
     self.clf = LinRegClassifierSKLearn(*args, **kwargs)

Example #10

File: dtmatcher.py Project: paulgc/magellan

    def __init__(self, *args, **kwargs):
        super(DTMatcher, self).__init__()

        name = kwargs.pop('name', None)
        if name is None:
            self.name = 'DecisionTree' + '_' + get_ts()
        else:
            self.name = name
        self.clf = DecisionTreeClassifier(*args, **kwargs)

Example #11

    def __init__(self, *args, **kwargs):
        super(DTMatcher, self).__init__()

        name = kwargs.pop('name', None)
        if name is None:
            self.name = 'DecisionTree' + '_' + get_ts()
        else:
            self.name = name
        self.clf = DecisionTreeClassifier(*args, **kwargs)

Example #12

 def __init__(self, *args, **kwargs):
     name = kwargs.pop('name', None)
     if name is None:
         self.name = 'BooleanRuleMatcher' + '_' + get_ts()
     else:
         self.name = name
     self.rules = OrderedDict()
     self.rule_source = OrderedDict()
     self.rule_conjunct_list = OrderedDict()
     self.rule_cnt = 0

Example #13

File: booleanrulematcher.py Project: paulgc/magellan

 def __init__(self, *args, **kwargs):
     name = kwargs.pop('name', None)
     if name is None:
         self.name = 'BooleanRuleMatcher' + '_' + get_ts()
     else:
         self.name = name
     self.rules = OrderedDict()
     self.rule_source = OrderedDict()
     self.rule_conjunct_list = OrderedDict()
     self.rule_cnt = 0