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Functions34 in github.com/cherichy/statistical_learning

↓ 3 callersMethodcalE
(self, i)
python/svm.py:34
↓ 2 callersMethodfit
(self)
python/logistic.py:13
↓ 2 callersMethodpredict
(self,x)
python/logistic.py:24
↓ 1 callersMethodKKT
a = 0 => outside 0 < a < c => on the margin, active support a = c => inside $y_i E_i = y_i (g_i - y_i) = y
python/svm.py:37
↓ 1 callersMethodSplitData
(self, df)
python/decisionTree.py:24
↓ 1 callersMethodcalH
(self, count)
python/decisionTree.py:12
↓ 1 callersMethodcalg
(self, cb)
python/decisionTree.py:18
↓ 1 callersMethodcreatTree
(self, df)
python/decisionTree.py:47
↓ 1 callersMethodfit
(self)
python/perceptron.py:12
↓ 1 callersMethodfit
(self)
python/svm.py:91
↓ 1 callersMethodnearest
(self, x, near_k=1, p=2)
python/KNN.py:28
↓ 1 callersMethodpredict
(self, x)
python/NaiveBayes.py:16
↓ 1 callersMethodpredict
(self, data)
python/svm.py:117
↓ 1 callersMethodselect_ij
(self)
python/svm.py:50
MethodDLoss
(x,y,w)
python/logistic.py:16
MethodDLoss
(x,y,w)
python/logistic.py:43
MethodLoss
(x,y,w)
python/logistic.py:14
MethodLoss
(x,y,w)
python/logistic.py:41
Method__call__
(self, data1, data2)
python/svm.py:8
Method__init__
(self,data,label)
python/logistic.py:9
Method__init__
(self,data,label,order=None)
python/logistic.py:34
Method__init__
(self, data, method="ID3", eps=0.01)
python/decisionTree.py:6
Method__init__
(self, data, label, learning_rate=1)
python/perceptron.py:5
Method__init__
(self, data, sp=0, left=None, right=None)
python/KNN.py:6
Method__init__
(self, data)
python/KNN.py:14
Method__init__
(self, data, lam=0)
python/NaiveBayes.py:6
Method__init__
(self, name='linear', para=None)
python/svm.py:4
Method__init__
(self, data, label, C=1, eps=1e-6, kernel=Kernel(), maxiter=200)
python/svm.py:23
Methodcreate
(dataset, sp)
python/KNN.py:16
Methodfit
(self)
python/logistic.py:40
Methodfit_dual
(self)
python/perceptron.py:24
Methodpredict
(self,x)
python/logistic.py:53
Methodpredict
(self, data)
python/perceptron.py:39
Methodvisit
(node)
python/KNN.py:33