Index

_

__call__() (quinn.nns.nnwrap.NNWrap method) (quinn.nns.rnet.Const method) (quinn.nns.rnet.Cubic method) (quinn.nns.rnet.LayerFcn method) (quinn.nns.rnet.Lin method) (quinn.nns.rnet.NonPar method) (quinn.nns.rnet.Poly method) (quinn.nns.rnet.Quad method) __init__() (quinn.ens.learner.Learner method) (quinn.mcmc.admcmc.AMCMC method) (quinn.mcmc.hmc.HMC method) (quinn.mcmc.mala.MALA method) (quinn.mcmc.mcmc.MCMCBase method) (quinn.nns.losses.CustomLoss method) (quinn.nns.losses.GradLoss method) (quinn.nns.losses.NegLogPost method) (quinn.nns.losses.NegLogPrior method) (quinn.nns.losses.PeriodicLoss method) (quinn.nns.mlp.MLP method) (quinn.nns.nnbase.MLPBase method) (quinn.nns.nns.Constant method) (quinn.nns.nns.Expon method) (quinn.nns.nns.Gaussian method) (quinn.nns.nns.MLP_simple method) (quinn.nns.nns.Polynomial method) (quinn.nns.nns.Polynomial3 method) (quinn.nns.nns.SiLU method) (quinn.nns.nns.Sine method) (quinn.nns.nns.TwoLayerNet method) (quinn.nns.nnwrap.NNWrap method) (quinn.nns.nnwrap.SNet method) (quinn.nns.rnet.Const method) (quinn.nns.rnet.Cubic method) (quinn.nns.rnet.LayerFcn method) (quinn.nns.rnet.Lin method) (quinn.nns.rnet.NonPar method) (quinn.nns.rnet.Poly method) (quinn.nns.rnet.Quad method) (quinn.nns.rnet.RNet method) (quinn.rvar.rvs.Gaussian_1d method) (quinn.rvar.rvs.GMM2_1d method) (quinn.rvar.rvs.RV method) (quinn.solvers.nn_ens.NN_Ens method) (quinn.solvers.nn_laplace.NN_Laplace method) (quinn.solvers.nn_mcmc.NN_MCMC method) (quinn.solvers.nn_rms.NN_RMS method) (quinn.solvers.nn_swag.NN_SWAG method) (quinn.solvers.nn_vi.NN_VI method) (quinn.solvers.quinn.QUiNNBase method) (quinn.utils.maps.Affine method) (quinn.utils.maps.ComposeMap method) (quinn.utils.maps.Domainizer method) (quinn.utils.maps.LinearScaler method) (quinn.utils.maps.Normalizer method) (quinn.utils.maps.Standardizer method) (quinn.utils.maps.XMap method) (quinn.vi.bnet.BNet method)

_propcov (quinn.mcmc.admcmc.AMCMC attribute)

A

a (quinn.nns.nns.Polynomial3 attribute) Ackley() (in module quinn.func.funcs) activ (quinn.nns.rnet.RNet attribute)

Affine (class in quinn.utils.maps) AMCMC (class in quinn.mcmc.admcmc) anchor (quinn.nns.losses.NegLogPrior attribute)

B

b (quinn.nns.nns.Polynomial3 attribute) bdry1 (quinn.nns.losses.PeriodicLoss attribute) bdry2 (quinn.nns.losses.PeriodicLoss attribute) best_model (quinn.ens.learner.Learner attribute) (quinn.nns.nnbase.MLPBase attribute) (quinn.solvers.nn_vi.NN_VI attribute) bias_post (quinn.nns.rnet.RNet attribute) bias_pre (quinn.nns.rnet.RNet attribute)

biasorno (quinn.nns.mlp.MLP attribute) (quinn.nns.nns.MLP_simple attribute) (quinn.nns.rnet.RNet attribute) blundell() (in module quinn.func.funcs) bmodel (quinn.solvers.nn_vi.NN_VI attribute) BNet (class in quinn.vi.bnet) bnlearn (quinn.nns.mlp.MLP attribute) bnorm (quinn.nns.mlp.MLP attribute)

C

c (quinn.nns.nns.Polynomial3 attribute) (quinn.solvers.nn_swag.NN_SWAG attribute) calc_hess_diag() (quinn.nns.nnwrap.NNWrap method) calc_hess_full() (quinn.nns.nnwrap.NNWrap method) calc_loss() (quinn.nns.nnwrap.NNWrap method) calc_lossgrad() (quinn.nns.nnwrap.NNWrap method) cartes_list() (in module quinn.utils.xutils) cmode (quinn.solvers.nn_mcmc.NN_MCMC attribute) coefs (quinn.nns.nns.Polynomial attribute) ComposeMap (class in quinn.utils.maps)

Const (class in quinn.nns.rnet) Constant (class in quinn.nns.nns) constant (quinn.nns.nns.Constant attribute) cov_diags (quinn.solvers.nn_swag.NN_SWAG attribute) cov_ini (quinn.mcmc.admcmc.AMCMC attribute) cov_mats (quinn.solvers.nn_laplace.NN_Laplace attribute) cov_scale (quinn.solvers.nn_laplace.NN_Laplace attribute) cov_type (quinn.solvers.nn_swag.NN_SWAG attribute) Cubic (class in quinn.nns.rnet) cubic (quinn.nns.nns.TwoLayerNet attribute) CustomLoss (class in quinn.nns.losses)

D

d (quinn.nns.nns.Polynomial3 attribute) d_mats (quinn.solvers.nn_swag.NN_SWAG attribute) datanoise (quinn.solvers.nn_laplace.NN_Laplace attribute) (quinn.solvers.nn_rms.NN_RMS attribute) (quinn.solvers.nn_swag.NN_SWAG attribute) del_attr() (quinn.vi.bnet.BNet method)

device (quinn.nns.nnbase.MLPBase attribute) (quinn.solvers.nn_vi.NN_VI attribute) (quinn.vi.bnet.BNet attribute) dfrac (quinn.solvers.nn_ens.NN_Ens attribute) diam() (in module quinn.utils.stats) Domainizer (class in quinn.utils.maps) dropout (quinn.nns.mlp.MLP attribute)

E

epsilon (quinn.mcmc.hmc.HMC attribute) (quinn.mcmc.mala.MALA attribute)

Expon (class in quinn.nns.nns) (class in quinn.utils.maps)

F

final_layer (quinn.nns.rnet.RNet attribute) final_transform (quinn.nns.mlp.MLP attribute) fit() (quinn.ens.learner.Learner method) (quinn.nns.nnbase.MLPBase method) (quinn.solvers.nn_ens.NN_Ens method) (quinn.solvers.nn_laplace.NN_Laplace method) (quinn.solvers.nn_mcmc.NN_MCMC method) (quinn.solvers.nn_rms.NN_RMS method) (quinn.solvers.nn_swag.NN_SWAG method) (quinn.solvers.nn_vi.NN_VI method) flatten_params() (in module quinn.nns.tchutils) forw() (quinn.utils.maps.XMap method) forward() (quinn.nns.losses.CustomLoss method) (quinn.nns.losses.GradLoss method) (quinn.nns.losses.LogLoss method) (quinn.nns.losses.NegLogPost method) (quinn.nns.losses.NegLogPrior method) (quinn.nns.losses.PeriodicLoss method) (quinn.nns.mlp.MLP method) (quinn.nns.nnbase.MLPBase method) (quinn.nns.nns.Constant method) (quinn.nns.nns.Expon method) (quinn.nns.nns.Gaussian method) (quinn.nns.nns.MLP_simple method) (quinn.nns.nns.Polynomial method) (quinn.nns.nns.Polynomial3 method) (quinn.nns.nns.SiLU method) (quinn.nns.nns.Sine method) (quinn.nns.nns.TwoLayerNet method) (quinn.nns.nnwrap.SNet method) (quinn.nns.rnet.RNet method) (quinn.vi.bnet.BNet method)

fulldatasize (quinn.nns.losses.NegLogPost attribute)

G

gamma (quinn.mcmc.admcmc.AMCMC attribute) Gaussian (class in quinn.nns.nns) Gaussian_1d (class in quinn.rvar.rvs) get_best_model() (quinn.solvers.nn_mcmc.NN_MCMC method) get_domain() (in module quinn.utils.stats)

get_opt_bw() (in module quinn.utils.xutils) get_pdf() (in module quinn.utils.xutils) get_stats() (in module quinn.utils.stats) GMM2_1d (class in quinn.rvar.rvs) GradLoss (class in quinn.nns.losses)

H

history (quinn.nns.nnbase.MLPBase attribute) hls (quinn.nns.mlp.MLP attribute) (quinn.nns.nns.MLP_simple attribute)

HMC (class in quinn.mcmc.hmc)

I

idt() (in module quinn.utils.xutils) indices (quinn.nns.nnwrap.NNWrap attribute) indim (quinn.nns.nnbase.MLPBase attribute) (quinn.nns.nns.MLP_simple attribute) (quinn.nns.rnet.RNet attribute) init_factor (quinn.nns.rnet.RNet attribute) init_params() (quinn.ens.learner.Learner method)

intersect_domain() (in module quinn.utils.stats) inv() (quinn.utils.maps.Affine method) (quinn.utils.maps.ComposeMap method) (quinn.utils.maps.Expon method) (quinn.utils.maps.LinearScaler method) (quinn.utils.maps.Logar method) (quinn.utils.maps.XMap method)

K

k (quinn.solvers.nn_swag.NN_SWAG attribute)

L

L (quinn.mcmc.hmc.HMC attribute) la_calc() (quinn.solvers.nn_laplace.NN_Laplace method) la_type (quinn.solvers.nn_laplace.NN_Laplace attribute) lam (quinn.nns.losses.GradLoss attribute) (quinn.nns.losses.PeriodicLoss attribute) lam1 (quinn.nns.losses.CustomLoss attribute) lam2 (quinn.nns.losses.CustomLoss attribute) layer_post (quinn.nns.rnet.RNet attribute) layer_pre (quinn.nns.rnet.RNet attribute) LayerFcn (class in quinn.nns.rnet) Learner (class in quinn.ens.learner) learners (quinn.solvers.nn_ens.NN_Ens attribute) lighten_color() (in module quinn.utils.plotting) Lin (class in quinn.nns.rnet) linear1 (quinn.nns.nns.TwoLayerNet attribute) linear2 (quinn.nns.nns.TwoLayerNet attribute)

LinearScaler (class in quinn.utils.maps) loadpk() (in module quinn.utils.xutils) log_prior (quinn.vi.bnet.BNet attribute) log_prob() (quinn.rvar.rvs.Gaussian_1d method) (quinn.rvar.rvs.GMM2_1d method) (quinn.rvar.rvs.MVN method) (quinn.rvar.rvs.RV method) log_variational_posterior (quinn.vi.bnet.BNet attribute) Logar (class in quinn.utils.maps) LogLoss (class in quinn.nns.losses) logPost (quinn.mcmc.mcmc.MCMCBase attribute) logpost() (quinn.solvers.nn_mcmc.NN_MCMC method) logPostGrad (quinn.mcmc.mcmc.MCMCBase attribute) logpostgrad() (quinn.solvers.nn_mcmc.NN_MCMC method) logsigma (quinn.rvar.rvs.Gaussian_1d attribute) lpinfo (quinn.solvers.nn_mcmc.NN_MCMC attribute) lr_swag (quinn.solvers.nn_swag.NN_SWAG attribute)

M

MALA (class in quinn.mcmc.mala) MCMCBase (class in quinn.mcmc.mcmc) means (quinn.solvers.nn_laplace.NN_Laplace attribute) (quinn.solvers.nn_swag.NN_SWAG attribute) MLP (class in quinn.nns.mlp) mlp (quinn.nns.rnet.RNet attribute) MLP_simple (class in quinn.nns.nns) MLPBase (class in quinn.nns.nnbase) model (quinn.nns.losses.CustomLoss attribute) (quinn.nns.losses.PeriodicLoss attribute) (quinn.nns.nns.MLP_simple attribute) module quinn.ens.learner quinn.func.funcs quinn.mcmc.admcmc quinn.mcmc.hmc quinn.mcmc.mala quinn.mcmc.mcmc quinn.nns.losses quinn.nns.mlp quinn.nns.nnbase quinn.nns.nns quinn.nns.nnwrap quinn.nns.rnet quinn.nns.tchutils quinn.rvar.rvs quinn.solvers.nn_ens quinn.solvers.nn_laplace quinn.solvers.nn_mcmc quinn.solvers.nn_rms quinn.solvers.nn_swag quinn.solvers.nn_vi quinn.solvers.quinn quinn.utils.maps quinn.utils.plotting quinn.utils.stats quinn.utils.xutils quinn.vi.bnet

mu (quinn.rvar.rvs.Gaussian_1d attribute) MVN (class in quinn.rvar.rvs) myrc() (in module quinn.utils.plotting)

N

n_steps (quinn.solvers.nn_swag.NN_SWAG attribute) NegLogPost (class in quinn.nns.losses) NegLogPrior (class in quinn.nns.losses) nens (quinn.solvers.nn_ens.NN_Ens attribute) (quinn.solvers.quinn.QUiNNBase attribute) nlayers (quinn.nns.mlp.MLP attribute) (quinn.nns.rnet.RNet attribute) NN_Ens (class in quinn.solvers.nn_ens) NN_Laplace (class in quinn.solvers.nn_laplace) NN_MCMC (class in quinn.solvers.nn_mcmc) nn_p() (in module quinn.nns.nnwrap) NN_RMS (class in quinn.solvers.nn_rms) nn_surrogate() (in module quinn.nns.nnwrap) nn_surrogate_multi() (in module quinn.nns.nnwrap) NN_SWAG (class in quinn.solvers.nn_swag) NN_VI (class in quinn.solvers.nn_vi) nnmodel (quinn.ens.learner.Learner attribute) (quinn.nns.losses.GradLoss attribute) (quinn.nns.losses.NegLogPost attribute) (quinn.nns.mlp.MLP attribute) (quinn.nns.nnwrap.NNWrap attribute) (quinn.nns.nnwrap.SNet attribute) (quinn.solvers.quinn.QUiNNBase attribute) (quinn.vi.bnet.BNet attribute)

NNWrap (class in quinn.nns.nnwrap) nnwrapper() (in module quinn.nns.nnwrap) NonPar (class in quinn.nns.rnet) normal (quinn.rvar.rvs.Gaussian_1d attribute) normal1 (quinn.rvar.rvs.GMM2_1d attribute) normal2 (quinn.rvar.rvs.GMM2_1d attribute) Normalizer (class in quinn.utils.maps) npar (quinn.nns.rnet.Const attribute) (quinn.nns.rnet.Cubic attribute) (quinn.nns.rnet.LayerFcn attribute) (quinn.nns.rnet.Lin attribute) (quinn.nns.rnet.NonPar attribute) (quinn.nns.rnet.Poly attribute) (quinn.nns.rnet.Quad attribute) nparams (quinn.solvers.nn_laplace.NN_Laplace attribute) (quinn.solvers.nn_rms.NN_RMS attribute) (quinn.solvers.nn_swag.NN_SWAG attribute) (quinn.vi.bnet.BNet attribute) npy() (in module quinn.nns.tchutils) numpar() (quinn.nns.nnbase.MLPBase method)

O

order (quinn.nns.nns.Polynomial attribute) outdim (quinn.nns.nnbase.MLPBase attribute) (quinn.nns.nns.MLP_simple attribute) (quinn.nns.rnet.RNet attribute)

P

p_flatten() (quinn.nns.nnwrap.NNWrap method) p_unflatten() (quinn.nns.nnwrap.NNWrap method) parallel_coordinates() (in module quinn.utils.plotting) param_names (quinn.vi.bnet.BNet attribute) param_priors (quinn.vi.bnet.BNet attribute) params (quinn.vi.bnet.BNet attribute) pdim (quinn.solvers.nn_mcmc.NN_MCMC attribute) PeriodicLoss (class in quinn.nns.losses) pi (quinn.nns.losses.NegLogPost attribute) (quinn.nns.losses.NegLogPrior attribute) (quinn.rvar.rvs.GMM2_1d attribute) pick_basis() (in module quinn.utils.xutils) plot_1d() (in module quinn.utils.plotting) plot_1d_anchored() (in module quinn.utils.plotting) plot_1d_anchored_single() (in module quinn.utils.plotting) plot_1d_fits() (quinn.nns.nnbase.MLPBase method) (quinn.solvers.quinn.QUiNNBase method) plot_2d() (in module quinn.utils.plotting) plot_2d_anchored() (in module quinn.utils.plotting) plot_2d_anchored_single() (in module quinn.utils.plotting) plot_cov() (in module quinn.utils.plotting) plot_cov_tri() (in module quinn.utils.plotting) plot_dm() (in module quinn.utils.plotting) plot_ens() (in module quinn.utils.plotting) plot_fcn_1d_slice() (in module quinn.utils.plotting) plot_fcn_2d_slice() (in module quinn.utils.plotting) plot_joy() (in module quinn.utils.plotting) plot_jsens() (in module quinn.utils.plotting) plot_parity() (in module quinn.utils.plotting) plot_pdf1d() (in module quinn.utils.plotting) plot_pdf2d() (in module quinn.utils.plotting) plot_pdfs() (in module quinn.utils.plotting) plot_samples_pdfs() (in module quinn.utils.plotting) plot_sens() (in module quinn.utils.plotting) plot_sensmat() (in module quinn.utils.plotting) plot_shade() (in module quinn.utils.plotting) plot_tri() (in module quinn.utils.plotting) plot_uc_exact() (in module quinn.utils.plotting)

plot_uc_sample() (in module quinn.utils.plotting) plot_vars() (in module quinn.utils.plotting) plot_xrv() (in module quinn.utils.plotting) plot_yx() (in module quinn.utils.plotting) Poly (class in quinn.nns.rnet) Polynomial (class in quinn.nns.nns) Polynomial3 (class in quinn.nns.nns) postInfo (quinn.mcmc.mcmc.MCMCBase attribute) predict() (quinn.ens.learner.Learner method) (quinn.nns.nnbase.MLPBase method) (quinn.nns.nnwrap.NNWrap method) (quinn.solvers.quinn.QUiNNBase method) predict_ens() (quinn.solvers.nn_ens.NN_Ens method) (quinn.solvers.nn_laplace.NN_Laplace method) (quinn.solvers.nn_mcmc.NN_MCMC method) (quinn.solvers.nn_swag.NN_SWAG method) (quinn.solvers.quinn.QUiNNBase method) predict_ens_fromsamples() (quinn.solvers.nn_ens.NN_Ens method) predict_MAP() (quinn.solvers.nn_mcmc.NN_MCMC method) predict_mom_sample() (quinn.solvers.quinn.QUiNNBase method) predict_plot() (quinn.nns.nnbase.MLPBase method) (quinn.solvers.quinn.QUiNNBase method) predict_sample() (quinn.solvers.nn_ens.NN_Ens method) (quinn.solvers.nn_laplace.NN_Laplace method) (quinn.solvers.nn_mcmc.NN_MCMC method) (quinn.solvers.nn_swag.NN_SWAG method) (quinn.solvers.nn_vi.NN_VI method) (quinn.solvers.quinn.QUiNNBase method) print_nnparams() (in module quinn.nns.tchutils) print_params() (quinn.ens.learner.Learner method) (quinn.solvers.nn_ens.NN_Ens method) (quinn.solvers.quinn.QUiNNBase method) printParamNames() (quinn.nns.nnbase.MLPBase method) printParams() (quinn.nns.nnbase.MLPBase method) priorparams (quinn.nns.losses.NegLogPost attribute) priorsigma (quinn.solvers.nn_laplace.NN_Laplace attribute) (quinn.solvers.nn_rms.NN_RMS attribute) (quinn.solvers.nn_swag.NN_SWAG attribute) project() (in module quinn.utils.xutils)

Q

Quad (class in quinn.nns.rnet) quinn.ens.learner module quinn.func.funcs module quinn.mcmc.admcmc module quinn.mcmc.hmc module quinn.mcmc.mala module quinn.mcmc.mcmc module quinn.nns.losses module quinn.nns.mlp module quinn.nns.nnbase module quinn.nns.nns module quinn.nns.nnwrap module quinn.nns.rnet module quinn.nns.tchutils module

quinn.rvar.rvs module quinn.solvers.nn_ens module quinn.solvers.nn_laplace module quinn.solvers.nn_mcmc module quinn.solvers.nn_rms module quinn.solvers.nn_swag module quinn.solvers.nn_vi module quinn.solvers.quinn module quinn.utils.maps module quinn.utils.plotting module quinn.utils.stats module quinn.utils.xutils module quinn.vi.bnet module QUiNNBase (class in quinn.solvers.quinn)

R

rdim (quinn.nns.rnet.RNet attribute) read_textlist() (in module quinn.utils.xutils) recover_flattened() (in module quinn.nns.tchutils) reinitialize_instance() (quinn.nns.nnwrap.NNWrap method)

rho (quinn.rvar.rvs.Gaussian_1d attribute) RNet (class in quinn.nns.rnet) rparams (quinn.vi.bnet.BNet attribute) run() (quinn.mcmc.mcmc.MCMCBase method) RV (class in quinn.rvar.rvs)

S

safe_cholesky() (in module quinn.utils.xutils) sample() (quinn.rvar.rvs.Gaussian_1d method) (quinn.rvar.rvs.MVN method) (quinn.rvar.rvs.RV method) sample_elbo() (quinn.vi.bnet.BNet method) sample_sphere() (in module quinn.utils.xutils) sampler() (quinn.mcmc.admcmc.AMCMC method) (quinn.mcmc.hmc.HMC method) (quinn.mcmc.mala.MALA method) (quinn.mcmc.mcmc.MCMCBase method) samples (quinn.solvers.nn_mcmc.NN_MCMC attribute) savepk() (in module quinn.utils.xutils) saveplot() (in module quinn.utils.plotting) scale01ToDom() (in module quinn.utils.maps) scaleDomTo01() (in module quinn.utils.maps) scaleTo01() (in module quinn.utils.maps) set_attr() (quinn.vi.bnet.BNet method)

set_colors() (in module quinn.utils.plotting) setLogPost() (quinn.mcmc.mcmc.MCMCBase method) sigma (quinn.nns.losses.NegLogPost attribute) (quinn.nns.losses.NegLogPrior attribute) sigma1 (quinn.rvar.rvs.GMM2_1d attribute) sigma2 (quinn.rvar.rvs.GMM2_1d attribute) SiLU (class in quinn.nns.nns) Sine (class in quinn.nns.nns) Sine() (in module quinn.func.funcs) Sine10() (in module quinn.func.funcs) SNet (class in quinn.nns.nnwrap) standardize() (in module quinn.utils.maps) Standardizer (class in quinn.utils.maps) step_size (quinn.nns.rnet.RNet attribute) strarr() (in module quinn.utils.xutils) sum_dim (quinn.nns.rnet.RNet attribute) Summation() (in module quinn.func.funcs) swag_calc() (quinn.solvers.nn_swag.NN_SWAG method)

T

t0 (quinn.mcmc.admcmc.AMCMC attribute) tadapt (quinn.mcmc.admcmc.AMCMC attribute) tch() (in module quinn.nns.tchutils)

trained (quinn.ens.learner.Learner attribute) (quinn.nns.nnbase.MLPBase attribute) (quinn.solvers.nn_vi.NN_VI attribute) TwoLayerNet (class in quinn.nns.nns)

V

verbose (quinn.ens.learner.Learner attribute) (quinn.solvers.nn_ens.NN_Ens attribute) (quinn.solvers.nn_mcmc.NN_MCMC attribute) (quinn.solvers.nn_vi.NN_VI attribute)

viloss() (quinn.vi.bnet.BNet method)

W

weight_post (quinn.nns.rnet.RNet attribute)

weight_pre (quinn.nns.rnet.RNet attribute) wp_function (quinn.nns.rnet.RNet attribute)

X

x5() (in module quinn.func.funcs)

XMap (class in quinn.utils.maps)