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Types & classes38 in github.com/SmirkCao/Lihang

⨍ Functions 228◇ Types & classes 38
↓ 8 callersClassHMM
CH10/hmm.py:13
↓ 6 callersClassdt
CH05/dt.py:13
↓ 5 callersClassCluster
CH14/clustering.py:10
↓ 5 callersClassPerceptron
CH02/perceptron.py:11
↓ 3 callersClassBiSection
threshold classifier error rate: $e_m=\sum_{i=1}^{N}P(G_m(x_i)\ne y_i)=\sum_{i=1}^{N}w_{mi}I(G_m(x_i)\ne y_i)$
CH08/adaboost.py:37
↓ 3 callersClassLogisticRegression
CH06/logistic_regression.py:14
↓ 3 callersClassSVM
CH07/svm.py:12
↓ 2 callersClassBMM
CH09/bmm.py:12
↓ 2 callersClassClusterAgglomerative
CH14/clustering.py:54
↓ 2 callersClassClusterKmeans
CH14/clustering.py:84
↓ 2 callersClassKNN
CH03/knn.py:19
↓ 2 callersClassNB
CH04/nb.py:12
↓ 1 callersClassAdaBoost
CH08/adaboost.py:85
↓ 1 callersClassAdaBoostRegressor
CH08/adaboost.py:126
↓ 1 callersClassMaxEnt
CH06/demo.py:15
↓ 1 callersClassMaxent
注意这里面最大的特征的数量是mxn, 但是实际上这个mxn的矩阵会非常稀疏.
CH06/maxent.py:14
↓ 1 callersClassNode
CH03/knn.py:14
↓ 1 callersClassPCA
CH16/pca.py:11
↓ 1 callersClassTree
CH05/decision_tree.py:12
ClassCRF
CH11/crf.py:12
ClassClustering
CH14/clustering.py:38
ClassLSA
CH17/lsa.py:11
ClassRadar
CH17/utils.py:11
ClassTestAdaBoost
CH08/unit_test.py:11
ClassTestCRF
CH11/unit_test.py:16
ClassTestClusteringMethods
CH14/unit_test.py:17
ClassTestDT
CH05/unit_test.py:15
ClassTestHHMMethods
CH10/unit_test.py:14
ClassTestLSAMethods
CH17/unit_test.py:19
ClassTestMEMethods
CH09/unit_test.py:18
ClassTestMEMethods
CH06/unit_test.py:18
ClassTestPCAMethods
CH16/unit_test.py:18
ClassTestPerceptron
CH02/unit_test.py:15
ClassTestSVDMethods
CH15/unit_test.py:14
ClassTestSVM
CH07/unit_test.py:18
ClassTestStringMethods
CH03/unit_test.py:13
ClassTestnbMethods
CH04/unit_test.py:11
ClassTripleCoin
CH09/model.py:13