def approximate(self, domain=None):
'''
Approximate a pessimistic and sound mapping for a given input *domain*.
'''
bounds = _mk_bounds(self.nb_inputs, domain)
ptr = _lib.vote_ensemble_approximate(self.ptr, bounds)
return _ffi.gc(ptr, _lib.vote_mapping_del)
def mapping_new(input_dim, output_dim):
'''
Create a new mapping with the given input/output dimensions. Input bounds
are initialized to [-∞, ∞], and output bounds are initialized to [0, 0].
'''
mapping = _lib.vote_mapping_new(int(input_dim), int(output_dim))
return _ffi.gc(mapping, _lib.vote_mapping_del)
def mapping_copy(mapping):
'''
Create a (deep) copy of a mapping.
'''
mapping = _lib.vote_mapping_copy(mapping)
return _ffi.gc(mapping, _lib.vote_mapping_del)