def features_simple_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 features_dense_longint_modular(A=matrix): a = LongIntFeatures(A) # get first feature vector and set it a.set_feature_vector(array([1, 4, 0, 0, 0, 9], dtype=int64), 0) # get matrix a_out = a.get_feature_matrix() assert (all(a_out == A)) return a_out
def features_string_hashed_wd_modular(A=matrix,order=3,start_order=1,hash_bits=2): a=LongIntFeatures(A) from numpy import array, uint8 from shogun.Features import HashedWDFeatures, StringByteFeatures, RAWDNA from shogun.IO import MSG_DEBUG x=[array([0,1,2,3,0,1,2,3,3,2,2,1,1],dtype=uint8)] from_order=order f=StringByteFeatures(RAWDNA) #f.io.set_loglevel(MSG_DEBUG) f.set_features(x) y=HashedWDFeatures(f,start_order,order,from_order,hash_bits) fm=y.get_computed_dot_feature_matrix() return fm