SVM_v1.py File Reference

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Namespaces
namespace	SVM_v1

Variables
tuple	SVM_v1.csv_e np.genfromtxt('testdata/set001/CalorimeterResponseHijingCentralRapidity_e_8GeV.csv')
tuple	SVM_v1.csv_pi np.genfromtxt('testdata/set001/CalorimeterResponseHijingCentralRapidity_pi_8GeV.csv')
list	SVM_v1.data_e_sub csv_e[:,2:5]
list	SVM_v1.data_pi_sub csv_pi[:,2:5]
list	SVM_v1.data_e_train data_e_sub[0:500,:]
list	SVM_v1.data_e_test data_e_sub[500:1000,:]
list	SVM_v1.data_pi_train data_pi_sub[0:500,:]
list	SVM_v1.data_pi_test data_pi_sub[500:1000,:]
tuple	SVM_v1.data_train np.vstack((data_e_train,data_pi_train))
tuple	SVM_v1.data_test np.vstack((data_pi_test,data_e_test))
int	SVM_v1.id_pi 0
int	SVM_v1.id_e 1
tuple	SVM_v1.pid_train np.vstack(( np.ones((500,1)) , np.zeros((500,1)) ))
tuple	SVM_v1.pid_test np.vstack(( np.zeros((500,1)) , np.ones((500,1)) ))
list	SVM_v1.X data_train[:,1:3]
tuple	SVM_v1.y np.ravel(pid_train)
int	SVM_v1.h 001
float	SVM_v1.C 1.0
tuple	SVM_v1.svc svm.SVC(kernel='linear', C=C)
tuple	SVM_v1.rbf_svc svm.SVC(kernel='rbf', gamma=0.7, C=C)
tuple	SVM_v1.poly_svc svm.SVC(kernel='poly', degree=3, C=C)
tuple	SVM_v1.lin_svc svm.LinearSVC(C=C)
list	SVM_v1.titles
tuple	SVM_v1.Z clf.predict(np.c_[xx.ravel(), yy.ravel()])
tuple	SVM_v1.pid_predict clf.predict( data_test[:,1:3] )
int	SVM_v1.count_all 0
int	SVM_v1.count_electron_as_electron 0
int	SVM_v1.count_pion_as_pion 0
int	SVM_v1.count_electron_as_pion 0
int	SVM_v1.count_pion_as_electron 0
int	SVM_v1.count_true_electron 0
int	SVM_v1.count_true_pion 0