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Merge pull request #557 from gsomix/director_kernel
preliminary version of DirectorKernel
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examples/undocumented/python_modular/kernel_director_linear_modular.py
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import numpy | ||
from shogun.Kernel import DirectorKernel | ||
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class DirectorLinearKernel(DirectorKernel): | ||
def __init__(self): | ||
DirectorKernel.__init__(self) | ||
def has_features(self): | ||
return True | ||
def kernel_function(self, idx_a, idx_b): | ||
return numpy.dot(traindat[:,idx_a], traindat[:,idx_b]) | ||
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traindat = numpy.random.random_sample((10,10)) | ||
testdat = numpy.random.random_sample((5,5)) | ||
parameter_list=[[traindat,testdat,1.2],[traindat,testdat,1.4]] | ||
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def kernel_director_linear_modular (fm_train_real=traindat,fm_test_real=testdat,scale=1.2): | ||
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from shogun.Features import RealFeatures | ||
from shogun.Kernel import LinearKernel, AvgDiagKernelNormalizer | ||
from modshogun import Time | ||
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feats_train=RealFeatures(fm_train_real) | ||
feats_train.io.set_loglevel(0) | ||
feats_train.parallel.set_num_threads(1) | ||
feats_test=RealFeatures(fm_test_real) | ||
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kernel=LinearKernel() | ||
kernel.set_normalizer(AvgDiagKernelNormalizer(scale)) | ||
kernel.init(feats_train, feats_train) | ||
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dkernel=DirectorLinearKernel() | ||
dkernel.set_normalizer(AvgDiagKernelNormalizer(scale)) | ||
dkernel.set_num_vec_lhs(traindat.shape[0]) | ||
dkernel.set_num_vec_rhs(traindat.shape[1]) | ||
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print "km_train" | ||
t=Time() | ||
km_train=kernel.get_kernel_matrix() | ||
t1=t.cur_time_diff(True) | ||
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print "dkm_train" | ||
t=Time() | ||
dkm_train=dkernel.get_kernel_matrix() | ||
t2=t.cur_time_diff(True) | ||
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#dkm_train=dkernel.get_kernel_matrix() | ||
#dkm_train=numpy.zeros((5,5)) | ||
#for i in xrange(5): | ||
# for j in xrange(5): | ||
# dkm_train[i,j]=dkernel.kernel(i,j) | ||
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print "km_train", km_train | ||
print "dkm_train", dkm_train | ||
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return km_train, dkm_train | ||
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if __name__=='__main__': | ||
print('DirectorLinear') | ||
kernel_director_linear_modular(*parameter_list[0]) |
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