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_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_simple_byte_modular(A): from shogun.Features import ByteFeatures # create dense features a # ... of type Byte a=ByteFeatures(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(numpy.array([1,4,0,0,0,9], dtype=numpy.uint8), 0) # get matrix a_out = a.get_feature_matrix() #print type(a_out), a_out.dtype #print a_out assert(numpy.all(a_out==A)) return a_out,a
def features_simple_byte_modular(A): from shogun.Features import ByteFeatures # create dense features a # ... of type Byte a = ByteFeatures(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(numpy.array([1, 4, 0, 0, 0, 9], dtype=numpy.uint8), 0) # get matrix a_out = a.get_feature_matrix() #print type(a_out), a_out.dtype #print a_out assert (numpy.all(a_out == A)) return a_out, a
from shogun.Features import ByteFeatures from numpy import array, uint8, 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=uint8) # ... of type Byte a=ByteFeatures(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=uint8), 0) # get matrix a_out = a.get_feature_matrix() print type(a_out), a_out.dtype print a_out assert(all(a_out==A))
# 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() print type(a_out), a_out.dtype print a_out assert(all(a_out==A)) print type(b_out), b_out.dtype print b_out assert(all(b_out==B)) print type(c_out), c_out.dtype print c_out assert(all(c_out==C))