Index

_

__init__() (abcpy.approx_lhd.Approx_likelihood method) (abcpy.approx_lhd.PenLogReg method) (abcpy.approx_lhd.SynLiklihood method) (abcpy.backends.BDS method) (abcpy.backends.BDSDummy method) (abcpy.backends.BDSSpark method) (abcpy.backends.BackendDummy method) (abcpy.backends.BackendSpark method) (abcpy.backends.PDS method) (abcpy.backends.PDSDummy method) (abcpy.backends.PDSSpark method) (abcpy.distances.Distance method) (abcpy.distances.Euclidean method) (abcpy.distances.LogReg method) (abcpy.distances.PenLogReg method) (abcpy.distributions.MultiNormal method) (abcpy.distributions.MultiStudentT method) (abcpy.distributions.Normal method) (abcpy.distributions.Uniform method) (abcpy.inferences.ABCsubsim method) (abcpy.inferences.APMCABC method) (abcpy.inferences.PMC method) (abcpy.inferences.PMCABC method) (abcpy.inferences.RSMCABC method) (abcpy.inferences.RejectionABC method) (abcpy.inferences.SABC method) (abcpy.inferences.SMCABC method) (abcpy.models.Gaussian method) (abcpy.models.MixtureNormal method) (abcpy.models.Model method) (abcpy.models.Ricker method) (abcpy.models.StochLorenz95 method) (abcpy.models.Student_t method) (abcpy.modelselections.ModelSelections method) (abcpy.modelselections.RandomForest method) (abcpy.output.Journal method) (abcpy.statistics.HakkarainenLorenzStatistics method) (abcpy.statistics.Identity method) (abcpy.statistics.Statistics method) (abcpy.summaryselections.Semiautomatic method) (abcpy.summaryselections.Summaryselections method)

A

abcpy.approx_lhd (module) abcpy.backends (module) abcpy.distances (module) abcpy.distributions (module) abcpy.inferences (module) abcpy.models (module) abcpy.modelselections (module) abcpy.output (module)

abcpy.statistics (module) abcpy.summaryselections (module) ABCsubsim (class in abcpy.inferences) add_opt_values() (abcpy.output.Journal method) add_parameters() (abcpy.output.Journal method) add_weights() (abcpy.output.Journal method) APMCABC (class in abcpy.inferences) Approx_likelihood (class in abcpy.approx_lhd)

B

Backend (class in abcpy.backends) BackendDummy (class in abcpy.backends) BackendSpark (class in abcpy.backends) BDS (class in abcpy.backends)

BDSDummy (class in abcpy.backends) BDSSpark (class in abcpy.backends) broadcast() (abcpy.backends.Backend method) (abcpy.backends.BackendDummy method) (abcpy.backends.BackendSpark method)

C

collect() (abcpy.backends.Backend method) (abcpy.backends.BackendDummy method) (abcpy.backends.BackendSpark method)

configuration (abcpy.output.Journal attribute)

D

dist_max() (abcpy.distances.Distance method) (abcpy.distances.Euclidean method) (abcpy.distances.LogReg method) (abcpy.distances.PenLogReg method) Distance (class in abcpy.distances)

distance() (abcpy.distances.Distance method) (abcpy.distances.Euclidean method) (abcpy.distances.LogReg method) (abcpy.distances.PenLogReg method) Distribution (class in abcpy.distributions)

E

Euclidean (class in abcpy.distances)

F

fromFile() (abcpy.output.Journal class method)

G

Gaussian (class in abcpy.models) get_parameters() (abcpy.models.Gaussian method) (abcpy.models.MixtureNormal method) (abcpy.models.Model method) (abcpy.models.Ricker method) (abcpy.models.StochLorenz95 method) (abcpy.models.Student_t method) (abcpy.output.Journal method)

get_weights() (abcpy.output.Journal method)

H

HakkarainenLorenzStatistics (class in abcpy.statistics)

I

Identity (class in abcpy.statistics)

J

Journal (class in abcpy.output)

L

likelihood() (abcpy.approx_lhd.Approx_likelihood method) (abcpy.approx_lhd.PenLogReg method) (abcpy.approx_lhd.SynLiklihood method)

LogReg (class in abcpy.distances)

M

map() (abcpy.backends.Backend method) (abcpy.backends.BackendDummy method) (abcpy.backends.BackendSpark method) MixtureNormal (class in abcpy.models)

Model (class in abcpy.models) ModelSelections (class in abcpy.modelselections) MultiNormal (class in abcpy.distributions) MultiStudentT (class in abcpy.distributions)

N

Normal (class in abcpy.distributions)

O

opt_value (abcpy.output.Journal attribute)

P

parallelize() (abcpy.backends.Backend method) (abcpy.backends.BackendDummy method) (abcpy.backends.BackendSpark method) parameters (abcpy.output.Journal attribute) pdf() (abcpy.distributions.Distribution method) (abcpy.distributions.MultiNormal method) (abcpy.distributions.MultiStudentT method) (abcpy.distributions.Normal method) (abcpy.distributions.Uniform method) PDS (class in abcpy.backends)

PDSDummy (class in abcpy.backends) PDSSpark (class in abcpy.backends) PenLogReg (class in abcpy.approx_lhd) (class in abcpy.distances) PMC (class in abcpy.inferences) PMCABC (class in abcpy.inferences) posterior_cov() (abcpy.output.Journal method) posterior_histogram() (abcpy.output.Journal method) posterior_mean() (abcpy.output.Journal method) posterior_probability() (abcpy.modelselections.ModelSelections method) (abcpy.modelselections.RandomForest method)

R

RandomForest (class in abcpy.modelselections) RejectionABC (class in abcpy.inferences) reseed() (abcpy.distributions.Distribution method) (abcpy.distributions.MultiNormal method) (abcpy.distributions.MultiStudentT method) (abcpy.distributions.Normal method) (abcpy.distributions.Uniform method)

Ricker (class in abcpy.models) RSMCABC (class in abcpy.inferences)

S

SABC (class in abcpy.inferences) sample() (abcpy.distributions.Distribution method) (abcpy.distributions.MultiNormal method) (abcpy.distributions.MultiStudentT method) (abcpy.distributions.Normal method) (abcpy.distributions.Uniform method) (abcpy.inferences.ABCsubsim method) (abcpy.inferences.APMCABC method) (abcpy.inferences.PMC method) (abcpy.inferences.PMCABC method) (abcpy.inferences.RSMCABC method) (abcpy.inferences.RejectionABC method) (abcpy.inferences.SABC method) (abcpy.inferences.SMCABC method) sample_from_prior() (abcpy.models.Gaussian method) (abcpy.models.MixtureNormal method) (abcpy.models.Model method) (abcpy.models.Ricker method) (abcpy.models.StochLorenz95 method) (abcpy.models.Student_t method) save() (abcpy.output.Journal method) select_model() (abcpy.modelselections.ModelSelections method) (abcpy.modelselections.RandomForest method) Semiautomatic (class in abcpy.summaryselections) set_parameters() (abcpy.distributions.Distribution method) (abcpy.distributions.MultiNormal method) (abcpy.distributions.MultiStudentT method) (abcpy.distributions.Normal method) (abcpy.distributions.Uniform method) (abcpy.models.Gaussian method) (abcpy.models.MixtureNormal method) (abcpy.models.Model method) (abcpy.models.Ricker method) (abcpy.models.StochLorenz95 method) (abcpy.models.Student_t method)

simulate() (abcpy.models.Gaussian method) (abcpy.models.MixtureNormal method) (abcpy.models.Model method) (abcpy.models.Ricker method) (abcpy.models.StochLorenz95 method) (abcpy.models.Student_t method) SMCABC (class in abcpy.inferences) Statistics (class in abcpy.statistics) statistics() (abcpy.statistics.HakkarainenLorenzStatistics method) (abcpy.statistics.Identity method) (abcpy.statistics.Statistics method) StochLorenz95 (class in abcpy.models) Student_t (class in abcpy.models) Summaryselections (class in abcpy.summaryselections) SynLiklihood (class in abcpy.approx_lhd)

T

transformation() (abcpy.summaryselections.Semiautomatic method) (abcpy.summaryselections.Summaryselections method)

U

Uniform (class in abcpy.distributions)

V

value() (abcpy.backends.BDS method) (abcpy.backends.BDSDummy method) (abcpy.backends.BDSSpark method)

W

weights (abcpy.output.Journal attribute)