Ejemplo n.º 1
0
dasvm_manual_libsvm.train()

###############
# compare to LibLinear

dasvm_manual_liblinear = LibLinear(1.0, feat, lab)
dasvm_manual_liblinear.set_linear_term(linterm_manual)
dasvm_manual_liblinear.set_bias_enabled(False)
dasvm_manual_liblinear.train()

#############################################
#    compute DA-SVMs in shogun (kernelized AND linear)
#############################################

dasvm_libsvm = DomainAdaptationSVM(1.0, wdk, lab, presvm_libsvm, B)
dasvm_libsvm.set_bias_enabled(False)
dasvm_libsvm.train()

dasvm_liblinear = DomainAdaptationSVMLinear(1.0, feat, lab, presvm_liblinear,
                                            B)
dasvm_liblinear.io.set_loglevel(MSG_DEBUG)
dasvm_liblinear.set_bias_enabled(False)
dasvm_liblinear.train()

print "##############"
alphas = []

sv_ids = dasvm_libsvm.get_support_vectors()
for (j, sv_id) in enumerate(sv_ids):
    alpha = dasvm_libsvm.get_alphas()[j]
    #get rid of label
Ejemplo n.º 2
0
# compare to LibLinear

dasvm_manual_liblinear = LibLinear(1.0, feat, lab)
dasvm_manual_liblinear.set_linear_term(linterm_manual)
dasvm_manual_liblinear.set_bias_enabled(False)
dasvm_manual_liblinear.train()



#############################################
#    compute DA-SVMs in shogun (kernelized AND linear)
#############################################


dasvm_libsvm = DomainAdaptationSVM(1.0, wdk, lab, presvm_libsvm, B)
dasvm_libsvm.set_bias_enabled(False)
dasvm_libsvm.train()
 

dasvm_liblinear = DomainAdaptationSVMLinear(1.0, feat, lab, presvm_liblinear, B)
dasvm_liblinear.io.set_loglevel(MSG_DEBUG)
dasvm_liblinear.set_bias_enabled(False)
dasvm_liblinear.train()


print "##############"
alphas = []

sv_ids = dasvm_libsvm.get_support_vectors()
for (j, sv_id) in enumerate(sv_ids):
    alpha = dasvm_libsvm.get_alphas()[j]