Index

A | B | C | D | E | F | G | H | I | L | M | N | O | P | R | S | T | U | V | W | X

A

add() (pebl.network.EdgeSet method)
add_many() (pebl.network.EdgeSet method)
add_network() (pebl.result.LearnerResult method)
adjacency_lists (pebl.network.EdgeSet attribute)
adjacency_matrix (pebl.network.EdgeSet attribute)
alter_network() (pebl.evaluator.SmartNetworkEvaluator method)
as_dotfile() (pebl.network.Network method)
as_dotstring() (pebl.network.Network method)
as_image() (pebl.network.Network method)
as_list() (in module pebl.util)
as_pydot() (pebl.network.Network method)
as_string() (pebl.network.Network method)
atleast() (in module pebl.config)
atmost() (in module pebl.config)
autoassign() (in module pebl.util)

B

between() (in module pebl.config)

C

cartesian_product() (in module pebl.util)
check_arities() (pebl.data.Dataset method)
children() (pebl.network.EdgeSet method)
ClassVariable (class in pebl.data)
ClassVariableError
clear() (pebl.network.EdgeSet method)
clear_network() (pebl.evaluator.SmartNetworkEvaluator method)
cond() (in module pebl.util)
configobj() (in module pebl.config)
consensus_network() (pebl.posterior.Posterior method)
ContinuousVariable (class in pebl.data)
copy() (pebl.network.Network method)
CPD (class in pebl.cpd)

D

Data
data.discretize
configuration parameter, [1]
data.filename
configuration parameter, [1]
data.text
configuration parameter, [1]
Dataset (class in pebl.data)
DiscreteVariable (class in pebl.data)
discretize() (pebl.data.Dataset method)

E

ec2.config
configuration parameter, [1]
ec2.max_count
configuration parameter, [1]
ec2.min_count
configuration parameter, [1]
EdgeSet (class in pebl.network)
edit_distance() (in module pebl.util)
entropy (pebl.posterior.Posterior attribute)
entropy_of_list() (in module pebl.util)
evaluator.missingdata_evaluator
configuration parameter
extended_property() (in module pebl.util)

F

fileexists() (in module pebl.config)
flatten() (in module pebl.util)
FloatParameter (class in pebl.config)
fromconfig() (in module pebl.data)
(in module pebl.evaluator)
fromdata() (in module pebl.network)
fromfile() (in module pebl.data)
(in module pebl.result)
fromstring() (in module pebl.data)

G

get() (in module pebl.config)
gibbs.burnin
configuration parameter, [1]
gibbs.max_iterations
configuration parameter
gibbs.stopping_criteria
configuration parameter
greedy.max_iterations
configuration parameter, [1]
greedy.max_time
configuration parameter, [1]
greedy.max_unimproved_iterations
configuration parameter, [1]
greedy.seed
configuration parameter, [1]
GreedyLearner (class in pebl.learner.greedy)

H

has_interventions (pebl.data.Dataset attribute)
has_missing (pebl.data.Dataset attribute)

I

incoming() (pebl.network.EdgeSet method)
IncorrectArityError
IntParameter (class in pebl.config)
ipython1.controller
configuration parameter, [1]
IPython1Controller (class in pebl.taskcontroller.ipy1)
is_acyclic() (pebl.network.Network method)
is_acyclic_python() (pebl.network.Network method)

L

layout() (pebl.network.Network method)
Learner
learner.numtasks
configuration parameter
learner.type
configuration parameter
LearnerResult (class in pebl.result)
levenshtein() (in module pebl.util)
ListLearner (class in pebl.learner.exhaustive)
listlearner.networks
configuration parameter, [1]
localscore_cache.maxsize
configuration parameter, [1]
logadd() (in module pebl.util)
loglikelihood() (pebl.cpd.CPD method)
(pebl.prior.Prior method)
logscale_probwheel() (in module pebl.util)
logsum() (in module pebl.util)
lru_cache() (in module pebl.util)

M

maximum_entropy_discretize() (in module pebl.discretizer)
merge() (in module pebl.data)
(in module pebl.result)
MissingDataExactNetworkEvaluator (class in pebl.evaluator)
MissingDataMaximumEntropyNetworkEvaluator (class in pebl.evaluator)
MissingDataNetworkEvaluator (class in pebl.evaluator)
multiprocess.poolsize
configuration parameter, [1]
MultiProcessController (class in pebl.taskcontroller.multiprocess)

N

nestediter() (in module pebl.util)
Network (class in pebl.network)
normalize() (in module pebl.util)
NullPrior (class in pebl.prior)

O

oneof() (in module pebl.config)
outgoing() (pebl.network.EdgeSet method)

P

parameters() (in module pebl.config)
parents() (pebl.network.EdgeSet method)
ParsingError
pebl.config (module)
pebl.cpd (module)
pebl.data (module)
pebl.discretizer (module)
pebl.evaluator (module)
pebl.learner.exhaustive (module)
pebl.learner.greedy (module)
pebl.learner.simanneal (module)
pebl.network (module)
pebl.posterior (module)
pebl.prior (module)
pebl.result (module)
pebl.taskcontroller.ec2 (module)
pebl.taskcontroller.ipy1 (module)
pebl.taskcontroller.multiprocess (module)
pebl.taskcontroller.serial (module)
pebl.taskcontroller.xgrid (module)
pebl.util (module)
Posterior (class in pebl.posterior)
posterior (pebl.result.LearnerResult attribute)
Prior (class in pebl.prior)
Prior Models
probwheel() (in module pebl.util)
Python Enhancement Proposals!PEP 8, [1]

R

random_network() (in module pebl.network)
randomize_network() (pebl.evaluator.SmartNetworkEvaluator method)
read() (in module pebl.config)
remove() (pebl.network.EdgeSet method)
remove_many() (pebl.network.EdgeSet method)
replace_data() (pebl.cpd.CPD method)
rescale_logvalues() (in module pebl.util)
restore_network() (pebl.evaluator.SmartNetworkEvaluator method)
Result
result.filename
configuration parameter, [1]
result.format
configuration parameter, [1]
result.outdir
configuration parameter
result.size
configuration parameter, [1]
run() (pebl.learner.greedy.GreedyLearner method)
(pebl.learner.simanneal.SimulatedAnnealingLearner method)
(pebl.taskcontroller.multiprocess.MultiProcessController method)

S

Sample (class in pebl.data)
score_network() (pebl.evaluator.MissingDataExactNetworkEvaluator method)
(pebl.evaluator.MissingDataMaximumEntropyNetworkEvaluator method)
(pebl.evaluator.MissingDataNetworkEvaluator method)
(pebl.evaluator.SmartNetworkEvaluator method)
SerialController (class in pebl.taskcontroller.serial)
set() (in module pebl.config)
shape (pebl.data.Dataset attribute)
simanneal.delta_temp
configuration parameter, [1]
simanneal.max_iters_at_temp
configuration parameter, [1]
simanneal.seed
configuration parameter, [1]
simanneal.start_temp
configuration parameter, [1]
SimulatedAnnealingLearner (class in pebl.learner.simanneal)
SmartNetworkEvaluator (class in pebl.evaluator)
split() (pebl.learner.exhaustive.ListLearner method)
start_run() (pebl.result.LearnerResult method)
stop_run() (pebl.result.LearnerResult method)
StringParameter (class in pebl.config)
subset() (pebl.data.Dataset method)
subset_byname() (pebl.data.Dataset method)

T

Task Controllers
taskcontroller.type
configuration parameter
tofile() (pebl.data.Dataset method)
(pebl.result.LearnerResult method)
tohtml() (pebl.result.LearnerResult method)
tostring() (pebl.data.Dataset method)

U

UniformPrior (class in pebl.prior)
unzip() (in module pebl.util)

V

Variable (class in pebl.data)

W

write() (in module pebl.config)

X

xgrid.controller
configuration parameter, [1]
xgrid.grid
configuration parameter, [1]
xgrid.password
configuration parameter, [1]
xgrid.peblpath
configuration parameter, [1]
xgrid.pollinterval
configuration parameter, [1]
XgridController (class in pebl.taskcontroller.xgrid)
XgridDeferredResult (class in pebl.taskcontroller.xgrid)