def features_dense_modular (A=matrixA,B=matrixB,C=matrixC):
a=RealFeatures(A)
b=LongIntFeatures(B)
c=ByteFeatures(C)
# or 16bit wide ...
#feat1 = f.ShortFeatures(N.zeros((10,5),N.short))
#feat2 = f.WordFeatures(N.zeros((10,5),N.uint16))
# print(some statistics about a)
# get first feature vector and set it
a.set_feature_vector(array([1,4,0,0,0,9], dtype=float64), 0)
# get matrices
a_out = a.get_feature_matrix()
b_out = b.get_feature_matrix()
c_out = c.get_feature_matrix()
assert(all(a_out==A))
assert(all(b_out==B))
assert(all(c_out==C))
return a_out,b_out,c_out,a,b,c
def kernel_linear_byte_modular (train_fname=traindat,test_fname=testdat): from modshogun import LinearKernel, ByteFeatures, CSVFile feats_train=ByteFeatures(CSVFile(train_fname)) feats_test=ByteFeatures(CSVFile(test_fname)) kernel=LinearKernel(feats_train, feats_train) km_train=kernel.get_kernel_matrix() kernel.init(feats_train, feats_test) km_test=kernel.get_kernel_matrix() return kernel
def features_dense_byte_modular (A): from modshogun import ByteFeatures # create dense features a # ... of type Byte a=ByteFeatures(A) # print(some statistics about a) #print(a.get_num_vectors()) #print(a.get_num_features()) # get first feature vector and set it #print(a.get_feature_vector(0)) a.set_feature_vector(numpy.array([1,4,0,0,0,9], dtype=numpy.uint8), 0) # get matrix a_out = a.get_feature_matrix() #print(type(a_out), a_out.dtype) #print(a_out ) assert(numpy.all(a_out==A)) return a_out,a
