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
예제 #2
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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
예제 #3
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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_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
from shogun.Features import LongIntFeatures
from numpy import array, int64, all

# create dense matrix A
A=array([[1,2,3],[4,0,0],[0,0,0],[0,5,0],[0,0,6],[9,9,9]], dtype=int64)

# ... of type LongInt
a=LongIntFeatures(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=int64), 0)

# get matrix
a_out = a.get_feature_matrix()

print type(a_out), a_out.dtype
print a_out 
assert(all(a_out==A))
from shogun.Features import RealFeatures, LongIntFeatures, ByteFeatures
from numpy import array, float64, int64, uint8, all

# create dense matrices A,B,C
A=array([[1,2,3],[4,0,0],[0,0,0],[0,5,0],[0,0,6],[9,9,9]], dtype=float64)
B=array([[1,2,3],[4,0,0],[0,0,0],[0,5,0],[0,0,6],[9,9,9]], dtype=int64)
C=array([[1,2,3],[4,0,0],[0,0,0],[0,5,0],[0,0,6],[9,9,9]], dtype=uint8)

# ... of type Real, LongInt and Byte
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
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 matrices
a_out = a.get_feature_matrix()
b_out = b.get_feature_matrix()
c_out = c.get_feature_matrix()