scitbx.cross_entropy
index
/net/chevy/raid1/nat/src/cctbx_project/scitbx/cross_entropy.py

 
Modules
       
scitbx.array_family.flex
scitbx.python_utils.random_transform
sys

 
Classes
       
__builtin__.object
cross_entropy_optimizer
test_rosenbrock_function

 
class cross_entropy_optimizer(__builtin__.object)
     Methods defined here:
__init__(self, function, mean, sigma, alpha, beta, q=7, elite_size=10, sample_size=50, eps=1e-07, inject_eps=0.001, n_max=50000, monitor_cycle=50)
compute_target(self, x)
convergence_test(self)
generate_and_score_samples(self)
generate_new_means_and_sigmas(self)
inject(self, c=3.0)
print_status(self, out=None)

Data descriptors defined here:
__dict__
dictionary for instance variables (if defined)
__weakref__
list of weak references to the object (if defined)

 
class test_rosenbrock_function(__builtin__.object)
     Methods defined here:
__init__(self, dim=4)
target(self, vector)

Data descriptors defined here:
__dict__
dictionary for instance variables (if defined)
__weakref__
list of weak references to the object (if defined)

 
Functions
       
run()

 
Data
        division = _Feature((2, 2, 0, 'alpha', 2), (3, 0, 0, 'alpha', 0), 8192)