本文整理汇总了Python中shogun.Features.RealFeatures.get_feature_matrix方法的典型用法代码示例。如果您正苦于以下问题：Python RealFeatures.get_feature_matrix方法的具体用法？Python RealFeatures.get_feature_matrix怎么用？Python RealFeatures.get_feature_matrix使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类shogun.Features.RealFeatures的用法示例。
在下文中一共展示了RealFeatures.get_feature_matrix方法的4个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: features_simple_modular
# 需要导入模块: from shogun.Features import RealFeatures [as 别名]
# 或者: from shogun.Features.RealFeatures import get_feature_matrix [as 别名]
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示例2: features_dense_real_modular
# 需要导入模块: from shogun.Features import RealFeatures [as 别名]
# 或者: from shogun.Features.RealFeatures import get_feature_matrix [as 别名]
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: features_dense_protocols_modular
# 需要导入模块: from shogun.Features import RealFeatures [as 别名]
# 或者: from shogun.Features.RealFeatures import get_feature_matrix [as 别名]
def features_dense_protocols_modular(in_data=data):
m_real=array(in_data, dtype=float64, order='F')
f_real=RealFeatures(m_real)
print m_real
print f_real
print f_real[-1]
print f_real[1, 2]
print f_real[-1:3]
print f_real[2, 0:2]
print f_real[0:3, 1]
print f_real[0:3, 1:2]
print f_real[:,1]
print f_real[1,:]
print m_real[-2]
f_real[-1]=m_real[-2]
print f_real[-1]
print m_real[0, 1]
f_real[1,2]=m_real[0,1]
print f_real[1, 2]
print m_real[0:2]
f_real[1:3]=m_real[0:2]
print f_real[1:3]
print m_real[0, 0:2]
f_real[2, 0:2]=m_real[0,0:2]
print f_real[2, 0:2]
print m_real[0:3, 2]
f_real[0:3,1]=m_real[0:3, 2]
print f_real[0:3, 1]
print m_real[0:3, 0:1]
f_real[0:3,1:2]=m_real[0:3,0:1]
print f_real[0:3, 1:2]
f_real[:,0]=0
print f_real.get_feature_matrix()
if numpy.__version__ >= '1.5':
f_real+=m_real
f_real*=m_real
f_real-=m_real
else:
print "numpy version >= 1.5 is needed"
return None
f_real+=f_real
f_real*=f_real
f_real-=f_real
print f_real
print f_real.get_feature_matrix()
try:
mem_real=memoryview(f_real)
except NameError:
print "Python2.7 is needed for memoryview class"
return None
ret_real=array(f_real)
print ret_real
return f_real[:,0]示例4: type
# 需要导入模块: from shogun.Features import RealFeatures [as 别名]
# 或者: from shogun.Features.RealFeatures import get_feature_matrix [as 别名]
# 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))