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
Beispiel #2
0
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