Index

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)