Index

_

__add__() (libs.base.Correlation method) (libs.base.Covariance method) (libs.base.Proportion method) (libs.base.Variance method) __init__() (libs.base.Correlation method) (libs.base.Count method) (libs.base.Covariance method) (libs.base.List method) (libs.base.Mean method) (libs.base.Proportion method) (libs.base.Variance method) (libs.bts.BTS method) (libs.lif.LiF method) (libs.lm.LM method) (libs.thompson.BBThompsonList method) (libs.thompson.ThompsonVarList method) (libs.thompson_bayesian_linear.ThompsonBayesianLinear method)

__mul__() (libs.base.Correlation method) (libs.base.Covariance method) (libs.base.Proportion method) (libs.base.Variance method) __sub__() (libs.base.Correlation method) (libs.base.Covariance method) (libs.base.Proportion method) (libs.base.Variance method) __truediv__() (libs.base.Correlation method) (libs.base.Covariance method) (libs.base.Proportion method) (libs.base.Variance method) __weakref__ (libs.base.List attribute) (libs.bts.BTS attribute) (libs.lif.LiF attribute) (libs.lm.LM attribute) (libs.thompson_bayesian_linear.ThompsonBayesianLinear attribute)

B

BBThompsonList (class in libs.thompson)

BTS (class in libs.bts)

C

core.experiment (module) Correlation (class in libs.base)

Count (class in libs.base) count() (libs.base.List method) Covariance (class in libs.base)

E

Experiment (class in core.experiment)

experimentThompson() (libs.thompson.ThompsonVarList method)

G

get_coefs() (libs.lm.LM method) get_count() (libs.base.Mean method) get_dict() (libs.base.List method) (libs.bts.BTS method) (libs.lif.LiF method) (libs.lm.LM method) (libs.thompson_bayesian_linear.ThompsonBayesianLinear method)

get_theta() (core.experiment.Experiment method) get_value() (libs.base.List method)

I

increment() (libs.base.Count method)

L

libs.base (module) libs.bts (module) libs.lif (module) libs.lm (module) libs.thompson (module)

libs.thompson_bayesian_linear (module) LiF (class in libs.lif) List (class in libs.base) LM (class in libs.lm) log_data() (core.experiment.Experiment method)

M

max() (libs.base.List method)

Mean (class in libs.base) min() (libs.base.List method)

P

predict() (libs.lm.LM method)

propensity() (libs.thompson.BBThompsonList method) Proportion (class in libs.base)

R

random() (libs.base.List method) run_action_code() (core.experiment.Experiment method)

run_context_code() (core.experiment.Experiment method) run_get_reward_code() (core.experiment.Experiment method) run_reward_code() (core.experiment.Experiment method)

S

sample() (libs.bts.BTS method) (libs.thompson_bayesian_linear.ThompsonBayesianLinear method)

set_theta() (core.experiment.Experiment method) suggest() (libs.lif.LiF method)

T

thompson() (libs.thompson.BBThompsonList method)

ThompsonBayesianLinear (class in libs.thompson_bayesian_linear) ThompsonVarList (class in libs.thompson)

U

update() (libs.base.Correlation method) (libs.base.Count method) (libs.base.Covariance method) (libs.base.Mean method) (libs.base.Proportion method) (libs.base.Variance method) (libs.bts.BTS method) (libs.lif.LiF method) (libs.lm.LM method) (libs.thompson_bayesian_linear.ThompsonBayesianLinear method)

V

Variance (class in libs.base)