Index

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

_

__init__() (pybrain.datasets.classification.ClassificationDataSet method)
(pybrain.datasets.classification.SequenceClassificationDataSet method)
(pybrain.datasets.supervised.SupervisedDataSet method)
(pybrain.optimization.optimizer.BlackBoxOptimizer method)
(pybrain.optimization.optimizer.ContinuousOptimizer method)
(pybrain.structure.connections.connection.Connection method)
(pybrain.structure.modules.LSTMLayer method)
(pybrain.structure.modules.LinearLayer method)
(pybrain.structure.modules.SigmoidLayer method)
(pybrain.structure.modules.SoftmaxLayer method)
(pybrain.structure.modules.TanhLayer method)
(pybrain.structure.modules.svmunit.SVMUnit method)
(pybrain.supervised.knn.lsh.nearoptimal.MultiDimHash method)
(pybrain.supervised.trainers.BackpropTrainer method)
(pybrain.supervised.trainers.RPropMinusTrainer method)
(pybrain.supervised.trainers.svmtrainer.GridSearch method)
(pybrain.supervised.trainers.svmtrainer.SVMTrainer method)
(pybrain.tools.neuralnets.NNclassifier method)
(pybrain.tools.neuralnets.NNregression method)
__len__() (pybrain.datasets.supervised.SupervisedDataSet method)
_convertToClassNb() (pybrain.datasets.classification.ClassificationDataSet method)
_convertToOneOfMany() (pybrain.datasets.classification.ClassificationDataSet method)
_forwardImplementation() (pybrain.rl.explorers.discrete.BoltzmannExplorer method)
(pybrain.rl.explorers.discrete.DiscreteStateDependentExplorer method)
(pybrain.rl.explorers.discrete.EpsilonGreedyExplorer method)
_setModule() (pybrain.rl.explorers.discrete.discrete.DiscreteExplorer method)

A

ActionValueInterface (class in pybrain.rl.learners.valuebased.interface)
ActionValueNetwork (class in pybrain.rl.learners.valuebased.interface)
ActionValueTable (class in pybrain.rl.learners.valuebased.interface)
activate() (pybrain.rl.explorers.continuous.sde.StateDependentExplorer method)
(pybrain.rl.explorers.discrete.BoltzmannExplorer method)
(pybrain.rl.explorers.discrete.DiscreteStateDependentExplorer method)
(pybrain.rl.explorers.explorer.Explorer method)
(pybrain.structure.networks.Network method)
activateOnDataset() (pybrain.structure.modules.svmunit.SVMUnit method)
(pybrain.structure.networks.Network method)
addConnection() (pybrain.structure.networks.Network method)
addInputModule() (pybrain.structure.networks.Network method)
addModule() (pybrain.structure.networks.Network method)
addOutputModule() (pybrain.structure.networks.Network method)
addRecurrentConnection() (pybrain.structure.networks.RecurrentNetwork method)
addReward() (pybrain.rl.environments.episodic.EpisodicTask method)
addSample() (pybrain.datasets.importance.ImportanceDataSet method)
(pybrain.datasets.supervised.SupervisedDataSet method)
Agent (class in pybrain.rl.agents.agent)
asBinary() (in module pybrain.utilities)

B

BackpropTrainer (class in pybrain.supervised.trainers)
backward() (pybrain.structure.connections.connection.Connection method)
baselineType (pybrain.optimization.ExactNES attribute)
batches() (pybrain.datasets.supervised.SupervisedDataSet method)
batchMode (pybrain.rl.learners.valuebased.valuebased.ValueBasedLearner attribute)
best() (pybrain.optimization.ParticleSwarmOptimizer method)
BiasUnit (class in pybrain.structure.modules)
BlackBoxOptimizer (class in pybrain.optimization.optimizer)
blockCombine() (in module pybrain.utilities)
blockList2Matrix() (in module pybrain.utilities)
BoltzmannExplorer (class in pybrain.rl.explorers.discrete)
buildNetwork() (in module pybrain.tools.shortcuts)

C

calculateModuleOutput() (pybrain.tools.validation.ModuleValidator class method)
calculateStatistics() (pybrain.datasets.classification.ClassificationDataSet method)
castToRegression() (pybrain.datasets.classification.ClassificationDataSet method)
ClassificationDataSet (class in pybrain.datasets.classification)
classificationPerformance() (pybrain.tools.validation.ModuleValidator class method)
(pybrain.tools.validation.Validator class method)
clear() (pybrain.datasets.supervised.SupervisedDataSet method)
CMAES (class in pybrain.optimization)
Connection (class in pybrain.structure.connections.connection)
ContinuousExperiment (class in pybrain.rl.experiments)
ContinuousOptimizer (class in pybrain.optimization.optimizer)
convertSequenceToTimeWindows() (in module pybrain.tools.datasettools)
copy() (pybrain.datasets.supervised.SupervisedDataSet method)
(pybrain.structure.evolvables.evolvable.Evolvable method)
crossOver() (pybrain.optimization.GA method)
crossproduct() (in module pybrain.utilities)
CrossValidator (class in pybrain.tools.validation)

D

DataSetLearner (class in pybrain.rl.learners.learner)
denormalize() (pybrain.rl.environments.task.Task method)
desiredEvaluation (pybrain.optimization.optimizer.BlackBoxOptimizer attribute)
DirectSearchLearner (class in pybrain.rl.learners.directsearch.directsearch)
discount (pybrain.rl.environments.episodic.EpisodicTask attribute)
DiscreteExplorer (class in pybrain.rl.explorers.discrete.discrete)
DiscreteStateDependentExplorer (class in pybrain.rl.explorers.discrete)
doEpisodes() (pybrain.rl.experiments.EpisodicExperiment method)
doInteractions() (pybrain.rl.experiments.Experiment method)
doInteractionsAndLearn() (pybrain.rl.experiments.ContinuousExperiment method)
drawGibbs() (in module pybrain.utilities)
drawIndex() (in module pybrain.utilities)

E

ENAC (class in pybrain.rl.learners.directsearch.enac)
endOfSequence() (pybrain.datasets.sequential.SequentialDataSet method)
EpisodicExperiment (class in pybrain.rl.experiments)
EpisodicLearner (class in pybrain.rl.learners.learner)
EpisodicTask (class in pybrain.rl.environments.episodic)
epsilon (pybrain.optimization.PGPE attribute)
EpsilonGreedyExplorer (class in pybrain.rl.explorers.discrete)
ESS() (pybrain.tools.validation.Validator class method)
evaluateModuleMSE() (pybrain.datasets.sequential.SequentialDataSet method)
Evolvable (class in pybrain.structure.evolvables.evolvable)
ExactNES (class in pybrain.optimization)
Experiment (class in pybrain.rl.experiments)
exploration (pybrain.optimization.PGPE attribute)
Explorer (class in pybrain.rl.explorers.explorer)
explorer (pybrain.rl.learners.valuebased.valuebased.ValueBasedLearner attribute)
ExploringLearner (class in pybrain.rl.learners.learner)

F

f() (pybrain.rl.environments.episodic.EpisodicTask method)
FeedForwardNetwork (class in pybrain.structure.networks)
FEM (class in pybrain.optimization)
FiniteDifferences (class in pybrain.optimization)
flat2triu() (in module pybrain.utilities)
forward() (pybrain.structure.connections.connection.Connection method)
forwardPass() (pybrain.structure.modules.svmunit.SVMUnit method)
FullConnection (class in pybrain.structure.connections)

G

GA (class in pybrain.optimization)
GaussianLayer (class in pybrain.structure.modules)
getAction() (pybrain.rl.agents.agent.Agent method)
(pybrain.rl.agents.LearningAgent method)
(pybrain.rl.agents.logging.LoggingAgent method)
getActionValues() (pybrain.rl.learners.valuebased.interface.ActionValueNetwork method)
getClass() (pybrain.datasets.classification.ClassificationDataSet method)
getCurrentSequence() (pybrain.datasets.sequential.SequentialDataSet method)
getMaxAction() (pybrain.rl.learners.valuebased.interface.ActionValueNetwork method)
(pybrain.rl.learners.valuebased.interface.ActionValueTable method)
getNbClasses() (pybrain.structure.modules.svmunit.SVMUnit method)
getNumSequences() (pybrain.datasets.sequential.SequentialDataSet method)
getObservation() (pybrain.rl.environments.task.Task method)
getReward() (pybrain.rl.environments.task.Task method)
getSequence() (pybrain.datasets.sequential.SequentialDataSet method)
getSequenceIterator() (pybrain.datasets.sequential.SequentialDataSet method)
getSequenceLength() (pybrain.datasets.sequential.SequentialDataSet method)
getTotalReward() (pybrain.rl.environments.episodic.EpisodicTask method)
giveReward() (pybrain.rl.agents.agent.Agent method)
(pybrain.rl.agents.logging.LoggingAgent method)
gotoSequence() (pybrain.datasets.sequential.SequentialDataSet method)
GridSearch (class in pybrain.supervised.trainers.svmtrainer)
GridSearchDOE (class in pybrain.supervised.trainers.svmtrainer)

H

HillClimber (class in pybrain.optimization)

I

IdentityConnection (class in pybrain.structure.connections)
ImportanceDataSet (class in pybrain.datasets.importance)
initGraphics() (pybrain.tools.neuralnets.NNclassifier method)
(pybrain.tools.neuralnets.NNregression method)
initialize() (pybrain.rl.learners.valuebased.interface.ActionValueTable method)
insert() (pybrain.supervised.knn.lsh.nearoptimal.MultiDimHash method)
int2gray() (in module pybrain.utilities)
integrateObservation() (pybrain.rl.agents.agent.Agent method)
(pybrain.rl.agents.logging.LoggingAgent method)
isFinished() (pybrain.rl.environments.episodic.EpisodicTask method)

K

knn() (pybrain.supervised.knn.lsh.nearoptimal.MultiDimHash method)

L

learn() (pybrain.optimization.optimizer.BlackBoxOptimizer method)
(pybrain.rl.agents.LearningAgent method)
(pybrain.rl.learners.directsearch.policygradient.PolicyGradientLearner method)
(pybrain.rl.learners.learner.Learner method)
(pybrain.rl.learners.valuebased.Q method)
Learner (class in pybrain.rl.learners.learner)
learning (pybrain.rl.agents.LearningAgent attribute)
LearningAgent (class in pybrain.rl.agents)
LinearLayer (class in pybrain.structure.modules)
load() (pybrain.supervised.trainers.svmtrainer.SVMTrainer method)
loadFromFile() (pybrain.datasets.supervised.SupervisedDataSet class method)
loadModel() (pybrain.structure.modules.svmunit.SVMUnit method)
LoggingAgent (class in pybrain.rl.agents.logging)
LSTMLayer (class in pybrain.structure.modules)

M

maxEvaluations (pybrain.optimization.optimizer.BlackBoxOptimizer attribute)
maxLearningSteps (pybrain.optimization.optimizer.BlackBoxOptimizer attribute)
MDLSTMLayer (class in pybrain.structure.modules)
minimize (pybrain.optimization.optimizer.BlackBoxOptimizer attribute)
module (pybrain.rl.learners.valuebased.valuebased.ValueBasedLearner attribute)
ModuleValidator (class in pybrain.tools.validation)
mother (pybrain.structure.connections.SharedConnection attribute)
MotherConnection (class in pybrain.structure.connections)
MSE() (pybrain.tools.validation.ModuleValidator class method)
(pybrain.tools.validation.Validator class method)
MultiDimHash (class in pybrain.supervised.knn.lsh.nearoptimal)
MultiObjectiveGA (class in pybrain.optimization)
multivariateCauchy() (in module pybrain.tools.functions)
multivariateNormalPdf() (in module pybrain.tools.functions)
mutate() (pybrain.structure.evolvables.evolvable.Evolvable method)
mutated() (pybrain.optimization.GA method)
mutationProb (pybrain.optimization.GA attribute)

N

n_to_one() (in module pybrain.utilities)
NelderMead (class in pybrain.optimization)
Network (class in pybrain.structure.networks)
newEpisode() (pybrain.rl.agents.agent.Agent method)
(pybrain.rl.agents.LearningAgent method)
(pybrain.rl.agents.logging.LoggingAgent method)
(pybrain.rl.explorers.continuous.sde.StateDependentExplorer method)
(pybrain.rl.explorers.explorer.Explorer method)
newSequence() (pybrain.datasets.sequential.SequentialDataSet method)
newSimilarInstance() (pybrain.structure.evolvables.evolvable.Evolvable method)
NFQ (class in pybrain.rl.learners.valuebased)
NNclassifier (class in pybrain.tools.neuralnets)
NNregression (class in pybrain.tools.neuralnets)
NormalExplorer (class in pybrain.rl.explorers.continuous)
normalize() (pybrain.rl.environments.task.Task method)
numParameters (pybrain.optimization.optimizer.BlackBoxOptimizer attribute)

O

offPolicy (pybrain.rl.learners.valuebased.valuebased.ValueBasedLearner attribute)
one_to_n() (in module pybrain.utilities)
OptimizationAgent (class in pybrain.rl.agents)
OriginalNES (class in pybrain.optimization)

P

ParticleSwarmOptimizer (class in pybrain.optimization)
performAction() (pybrain.rl.environments.episodic.EpisodicTask method)
(pybrain.rl.environments.task.Task method)
perturbation() (pybrain.optimization.FiniteDifferences method)
(pybrain.optimization.PGPE method)
PGPE (class in pybrain.optimization)
PolicyGradientLearner (class in pybrain.rl.learners.directsearch.policygradient)
produceOffspring() (pybrain.optimization.GA method)
pybrain.datasets.classification (module)
pybrain.datasets.importance (module)
pybrain.datasets.sequential (module)
pybrain.datasets.supervised (module)
pybrain.optimization (module)
pybrain.optimization.optimizer (module)
pybrain.rl.agents (module)
pybrain.rl.agents.agent (module)
pybrain.rl.agents.logging (module)
pybrain.rl.environments.episodic (module)
pybrain.rl.environments.task (module)
pybrain.rl.experiments (module)
pybrain.rl.explorers.continuous (module)
pybrain.rl.explorers.continuous.sde (module)
pybrain.rl.explorers.discrete (module)
pybrain.rl.explorers.discrete.discrete (module)
pybrain.rl.explorers.explorer (module)
pybrain.rl.learners.directsearch.directsearch (module)
pybrain.rl.learners.directsearch.enac (module)
pybrain.rl.learners.directsearch.policygradient (module)
pybrain.rl.learners.directsearch.reinforce (module)
pybrain.rl.learners.learner (module)
pybrain.rl.learners.valuebased (module)
pybrain.rl.learners.valuebased.interface (module)
pybrain.rl.learners.valuebased.valuebased (module)
pybrain.structure.connections (module)
pybrain.structure.connections.connection (module)
pybrain.structure.evolvables.evolvable (module)
pybrain.structure.modules (module)
pybrain.structure.modules.svmunit (module)
pybrain.structure.networks (module)
pybrain.supervised.knn.lsh.nearoptimal (module)
pybrain.supervised.trainers (module)
pybrain.supervised.trainers.svmtrainer (module)
pybrain.tools.datasettools (module)
pybrain.tools.functions (module)
pybrain.tools.neuralnets (module)
pybrain.tools.shortcuts (module)
pybrain.tools.validation (module)
pybrain.utilities (module)

Q

Q (class in pybrain.rl.learners.valuebased)
QLambda (class in pybrain.rl.learners.valuebased)

R

randomBatches() (pybrain.datasets.supervised.SupervisedDataSet method)
randomize() (pybrain.structure.evolvables.evolvable.Evolvable method)
RandomSearch (class in pybrain.optimization)
ranking() (in module pybrain.tools.functions)
reachable() (in module pybrain.utilities)
reconstruct() (pybrain.datasets.supervised.SupervisedDataSet class method)
RecurrentNetwork (class in pybrain.structure.networks)
Reinforce (class in pybrain.rl.learners.directsearch.reinforce)
removeSequence() (pybrain.datasets.sequential.SequentialDataSet method)
reset() (pybrain.rl.agents.LearningAgent method)
(pybrain.rl.agents.logging.LoggingAgent method)
(pybrain.rl.environments.episodic.EpisodicTask method)
(pybrain.structure.modules.svmunit.SVMUnit method)
(pybrain.structure.networks.Network method)
RPropMinusTrainer (class in pybrain.supervised.trainers)
runTraining() (pybrain.tools.neuralnets.NNclassifier method)
(pybrain.tools.neuralnets.NNregression method)

S

safeExp() (in module pybrain.tools.functions)
SARSA (class in pybrain.rl.learners.valuebased)
save() (pybrain.supervised.trainers.svmtrainer.SVMTrainer method)
saveModel() (pybrain.structure.modules.svmunit.SVMUnit method)
saveNetwork() (pybrain.tools.neuralnets.NNclassifier method)
(pybrain.tools.neuralnets.NNregression method)
saveToFile() (pybrain.datasets.supervised.SupervisedDataSet method)
saveTrainingCurve() (pybrain.tools.neuralnets.NNclassifier method)
(pybrain.tools.neuralnets.NNregression method)
search() (pybrain.supervised.trainers.svmtrainer.GridSearch method)
(pybrain.supervised.trainers.svmtrainer.GridSearchDOE method)
select() (pybrain.optimization.GA method)
selectionSize (pybrain.optimization.GA attribute)
semilinear() (in module pybrain.tools.functions)
semilinearPrime() (in module pybrain.tools.functions)
SequenceClassificationDataSet (class in pybrain.datasets.classification)
SequentialDataSet (class in pybrain.datasets.sequential)
setArgs() (pybrain.tools.validation.CrossValidator method)
setData() (pybrain.supervised.trainers.BackpropTrainer method)
setEvaluator() (pybrain.optimization.optimizer.BlackBoxOptimizer method)
setModel() (pybrain.structure.modules.svmunit.SVMUnit method)
setParams() (pybrain.supervised.trainers.svmtrainer.GridSearch method)
(pybrain.supervised.trainers.svmtrainer.SVMTrainer method)
setScaling() (pybrain.rl.environments.task.Task method)
setSigma() (pybrain.structure.modules.GaussianLayer method)
setupNN() (pybrain.tools.neuralnets.NNclassifier method)
(pybrain.tools.neuralnets.NNregression method)
setupRNN() (pybrain.tools.neuralnets.NNclassifier method)
SharedConnection (class in pybrain.structure.connections)
SharedFullConnection (class in pybrain.structure.connections)
sigmaLearningRate (pybrain.optimization.PGPE attribute)
sigmoid() (in module pybrain.tools.functions)
SigmoidLayer (class in pybrain.structure.modules)
sigmoidPrime() (in module pybrain.tools.functions)
simpleMultivariateNormalPdf() (in module pybrain.tools.functions)
SimpleSPSA (class in pybrain.optimization)
SoftmaxLayer (class in pybrain.structure.modules)
sortModules() (pybrain.structure.networks.Network method)
splitByClass() (pybrain.datasets.classification.ClassificationDataSet method)
splitWithProportion() (pybrain.datasets.sequential.SequentialDataSet method)
(pybrain.datasets.supervised.SupervisedDataSet method)
StateDependentExplorer (class in pybrain.rl.explorers.continuous.sde)
StateDependentLayer (class in pybrain.structure.modules)
StochasticHillClimber (class in pybrain.optimization)
storeAllEvaluated (pybrain.optimization.optimizer.BlackBoxOptimizer attribute)
storeAllEvaluations (pybrain.optimization.optimizer.BlackBoxOptimizer attribute)
SupervisedDataSet (class in pybrain.datasets.supervised)
SVMTrainer (class in pybrain.supervised.trainers.svmtrainer)
SVMUnit (class in pybrain.structure.modules.svmunit)

T

TanhLayer (class in pybrain.structure.modules)
tanhPrime() (in module pybrain.tools.functions)
Task (class in pybrain.rl.environments.task)
temperature (pybrain.optimization.StochasticHillClimber attribute)
testOnClassData() (pybrain.supervised.trainers.BackpropTrainer method)
testOnSequenceData() (in module pybrain.tools.validation)
topProportion (pybrain.optimization.GA attribute)
tournament (pybrain.optimization.GA attribute)
train() (pybrain.supervised.trainers.BackpropTrainer method)
(pybrain.supervised.trainers.svmtrainer.SVMTrainer method)
trainEpochs() (pybrain.supervised.trainers.BackpropTrainer method)
trainOnDataset() (pybrain.supervised.trainers.BackpropTrainer method)
trainUntilConvergence() (pybrain.supervised.trainers.BackpropTrainer method)
triu2flat() (in module pybrain.utilities)

V

validate() (pybrain.tools.validation.CrossValidator method)
(pybrain.tools.validation.ModuleValidator class method)
Validator (class in pybrain.tools.validation)
ValueBasedLearner (class in pybrain.rl.learners.valuebased.valuebased)
verbose (pybrain.optimization.optimizer.BlackBoxOptimizer attribute)

W

wDecay (pybrain.optimization.PGPE attribute)
whichBuffers() (pybrain.structure.connections.FullConnection method)