示例#1
0
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 features_dense_real_modular (A=matrix):

# ... of type Real, LongInt and Byte
    a=RealFeatures(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(array([1,4,0,0,0,9], dtype=float64), 0)

# get matrix
    a_out = a.get_feature_matrix()

    assert(all(a_out==A))
    return a_out
示例#3
0
def features_dense_real_modular(A=matrix):

    # ... of type Real, LongInt and Byte
    a = RealFeatures(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(array([1, 4, 0, 0, 0, 9], dtype=float64), 0)

    # get matrix
    a_out = a.get_feature_matrix()

    assert (all(a_out == A))
    return a_out