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