Source code for bob.learn.em

# import Libraries of other lib packages
import bob.math
import bob.learn.linear
import bob.sp

# import our own Library
import bob.extension
bob.extension.load_bob_library('bob.learn.em', __file__)

from ._library import *
from . import version
from .version import module as __version__
from .version import api as __api_version__
from .train import *

[docs]def ztnorm_same_value(vect_a, vect_b): """Computes the matrix of boolean D for the ZT-norm, which indicates where the client ids of the T-Norm models and Z-Norm samples match. vect_a An (ordered) list of client_id corresponding to the T-Norm models vect_b An (ordered) list of client_id corresponding to the Z-Norm impostor samples """ import numpy sameMatrix = numpy.ndarray((len(vect_a), len(vect_b)), 'bool') for j in range(len(vect_a)): for i in range(len(vect_b)): sameMatrix[j, i] = (vect_a[j] == vect_b[i]) return sameMatrix
[docs]def get_config(): """Returns a string containing the configuration information. """ return bob.extension.get_config(__name__, version.externals, version.api)
# gets sphinx autodoc done right - don't remove it __all__ = [_ for _ in dir() if not _.startswith('_')]