Index

A

add_tangent_vector() (mgplvm.syndata.gen_data.Product method)

arg_constraints (mgplvm.dists.NegativeBinomial attribute) ARP (class in mgplvm.lpriors.common)

B

batch_capacitance_tril() (in module mgplvm.models.bfa) BatchDataLoader (class in mgplvm.optimisers.data)

Bfa (class in mgplvm.models.bfa) Brownian (class in mgplvm.lpriors.common) Bvfa (class in mgplvm.models.bfa)

C

c (mgplvm.rdist.GP_circ.GP_circ property) calc_LL() (mgplvm.models.gplvm.Gplvm method) concentration_parameters() (mgplvm.rdist.common.Rdist method) (mgplvm.rdist.GPbase.GPbase method) (mgplvm.rdist.relie.ReLieBase method)

conj() (in module mgplvm.manifolds.quaternion)

D

DataLoader (class in mgplvm.optimisers.data) diagK() (mgplvm.kernels.kernel.Kernel static method) (mgplvm.kernels.linear.Linear method) (mgplvm.kernels.stationary.Stationary method) dim_scale (mgplvm.models.bfa.Bfa property) (mgplvm.models.bfa.Bvfa property) dist() (mgplvm.likelihoods.Gaussian method) (mgplvm.likelihoods.Likelihood static method) (mgplvm.likelihoods.NegativeBinomial method) (mgplvm.likelihoods.Poisson method) (mgplvm.likelihoods.ZIPoisson method) dist_mean() (mgplvm.likelihoods.Gaussian method) (mgplvm.likelihoods.Likelihood static method) (mgplvm.likelihoods.NegativeBinomial method) (mgplvm.likelihoods.Poisson method) (mgplvm.likelihoods.ZIPoisson method)

distance() (mgplvm.manifolds.base.Manifold static method) (mgplvm.manifolds.euclid.Euclid static method) (mgplvm.manifolds.s3.S3 static method) (mgplvm.manifolds.so3.So3 static method) (mgplvm.manifolds.torus.Torus static method) (mgplvm.syndata.gen_data.Euclid method) (mgplvm.syndata.gen_data.Manif method) (mgplvm.syndata.gen_data.Product method) (mgplvm.syndata.gen_data.So3 method) (mgplvm.syndata.gen_data.Sphere method) (mgplvm.syndata.gen_data.Torus method) distance_scaled() (mgplvm.syndata.gen_data.Product method) draw_GP() (in module mgplvm.syndata.gen_data) DS (class in mgplvm.lpriors.euclidean)

E

elbo() (mgplvm.models.bfa.Bfa method) (mgplvm.models.bfa.Bvfa method) (mgplvm.models.bfa.Fa method) (mgplvm.models.bfa.vFa method) (mgplvm.models.gp_base.GpBase method) (mgplvm.models.gplvm.Gplvm method) (mgplvm.models.svgp.SvgpBase method) ell (mgplvm.kernels.stationary.Stationary property) (mgplvm.rdist.GPbase.GPbase property) Euclid (class in mgplvm.manifolds.euclid) (class in mgplvm.syndata.gen_data)

Exp (class in mgplvm.kernels.stationary) exp_link() (in module mgplvm.likelihoods) expand() (mgplvm.dists.NegativeBinomial method) expmap() (mgplvm.manifolds.base.Manifold static method) (mgplvm.manifolds.euclid.Euclid static method) (mgplvm.manifolds.s3.S3 static method) (mgplvm.manifolds.so3.So3 static method) (mgplvm.manifolds.torus.Torus static method) expmap2() (mgplvm.manifolds.s3.S3 static method) (mgplvm.manifolds.so3.So3 static method)

F

Fa (class in mgplvm.models.bfa) FA_init() (in module mgplvm.likelihoods) fio_id() (in module mgplvm.lpriors.euclidean) fio_ReLU() (in module mgplvm.lpriors.euclidean) fio_tanh() (in module mgplvm.lpriors.euclidean) fit() (in module mgplvm.optimisers.svgp) forward() (mgplvm.kernels.kernel.Kernel method) (mgplvm.lpriors.common.ARP method) (mgplvm.lpriors.common.Brownian method) (mgplvm.lpriors.common.Gaussian method) (mgplvm.lpriors.common.Null method) (mgplvm.lpriors.common.Uniform method) (mgplvm.lpriors.euclidean.DS method) (mgplvm.lpriors.euclidean.GP method) (mgplvm.lpriors.torus.IARP method) (mgplvm.lpriors.torus.LARP method) (mgplvm.lpriors.torus.VonMises method) (mgplvm.models.gplvm.Gplvm method)

full_cov() (mgplvm.rdist.GPbase.GPbase method)

G

g0_parameters() (mgplvm.models.bfa.Bfa method) (mgplvm.models.bfa.Bvfa method) (mgplvm.models.bfa.Fa method) (mgplvm.models.bfa.vFa method) (mgplvm.models.svgp.Svgp method) g1_parameters() (mgplvm.models.bfa.Bfa method) (mgplvm.models.bfa.Bvfa method) (mgplvm.models.bfa.Fa method) (mgplvm.models.bfa.vFa method) (mgplvm.models.svgp.Svgp method) Gaussian (class in mgplvm.likelihoods) (class in mgplvm.lpriors.common) Gen (class in mgplvm.syndata.gen_data) gen() (mgplvm.syndata.gen_data.Euclid method) (mgplvm.syndata.gen_data.Manif method) (mgplvm.syndata.gen_data.Product method) (mgplvm.syndata.gen_data.So3 method) (mgplvm.syndata.gen_data.Sphere method) (mgplvm.syndata.gen_data.Torus method) gen_data() (mgplvm.syndata.gen_data.Gen method) gen_gconds() (mgplvm.syndata.gen_data.Gen method) gen_ginit() (mgplvm.syndata.gen_data.Euclid method) (mgplvm.syndata.gen_data.Product method) (mgplvm.syndata.gen_data.So3 method) (mgplvm.syndata.gen_data.Sphere method) (mgplvm.syndata.gen_data.Torus method)

gen_gprefs() (mgplvm.syndata.gen_data.Gen method) get_data() (mgplvm.syndata.gen_data.Gen method) get_device() (in module mgplvm.utils) get_next() (mgplvm.optimisers.data.BatchDataLoader method) get_params() (mgplvm.syndata.gen_data.Gen method) gmu_parameters() (mgplvm.rdist.common.Rdist method) (mgplvm.rdist.GP_circ.GP_circ method) (mgplvm.rdist.GPbase.GPbase method) (mgplvm.rdist.relie.ReLieBase method) gmul() (mgplvm.manifolds.base.Manifold method) (mgplvm.manifolds.euclid.Euclid static method) (mgplvm.manifolds.s3.S3 static method) (mgplvm.manifolds.so3.So3 static method) (mgplvm.manifolds.torus.Torus static method) GP (class in mgplvm.lpriors.euclidean) GP_circ (class in mgplvm.rdist.GP_circ) GP_diag (class in mgplvm.rdist.GP_diag) GpBase (class in mgplvm.models.gp_base) GPbase (class in mgplvm.rdist.GPbase) Gplvm (class in mgplvm.models.gplvm)

I

I_v() (mgplvm.rdist.GP_circ.GP_circ method) (mgplvm.rdist.GP_diag.GP_diag method) (mgplvm.rdist.GPbase.GPbase method) IARP (class in mgplvm.lpriors.torus) id_link() (in module mgplvm.likelihoods) inducing_points() (mgplvm.manifolds.base.Manifold method) (mgplvm.manifolds.euclid.Euclid method) (mgplvm.manifolds.s3.S3 method) (mgplvm.manifolds.so3.So3 method) (mgplvm.manifolds.torus.Torus method) InducingPoints (class in mgplvm.inducing_variables)

initialize() (mgplvm.manifolds.base.Manifold static method) (mgplvm.manifolds.euclid.Euclid static method) (mgplvm.manifolds.s3.S3 static method) (mgplvm.manifolds.so3.So3 method) (mgplvm.manifolds.torus.Torus static method) input_scale (mgplvm.kernels.linear.Linear property) inv_softplus() (in module mgplvm.utils) inverse() (mgplvm.manifolds.base.Manifold method) (mgplvm.manifolds.euclid.Euclid static method) (mgplvm.manifolds.s3.S3 static method) (mgplvm.manifolds.so3.So3 static method) (mgplvm.manifolds.torus.Torus static method)

K

K() (mgplvm.kernels.kernel.Kernel static method) (mgplvm.kernels.linear.Linear method) (mgplvm.kernels.stationary.Exp method) (mgplvm.kernels.stationary.Matern method) (mgplvm.kernels.stationary.QuadExp method)

K_half() (mgplvm.rdist.GPbase.GPbase method) Kernel (class in mgplvm.kernels.kernel) kl() (mgplvm.rdist.GP_circ.GP_circ method) (mgplvm.rdist.GP_diag.GP_diag method) (mgplvm.rdist.GPbase.GPbase method)

L

LARP (class in mgplvm.lpriors.torus) lat_gamma() (mgplvm.rdist.relie.ReLieBase method) lat_gmu() (mgplvm.rdist.relie.ReLieBase method) lat_mu (mgplvm.rdist.GPbase.GPbase property) lat_prms() (mgplvm.rdist.relie.ReLieBase method) Lgplvm (class in mgplvm.models.lgplvm) Likelihood (class in mgplvm.likelihoods) Linear (class in mgplvm.kernels.linear) linear_cg() (in module mgplvm.fast_utils.linear_cg) load_model() (in module mgplvm.crossval.construct_model) log_prob (mgplvm.likelihoods.Likelihood property) log_prob() (mgplvm.dists.NegativeBinomial method) (mgplvm.likelihoods.Gaussian method) (mgplvm.likelihoods.NegativeBinomial method) (mgplvm.likelihoods.Poisson method) (mgplvm.likelihoods.ZIPoisson method) (mgplvm.models.bfa.Bfa method) (mgplvm.models.bfa.Fa method) log_q() (mgplvm.manifolds.base.Manifold static method) (mgplvm.manifolds.euclid.Euclid static method) (mgplvm.manifolds.s3.S3 static method) (mgplvm.manifolds.so3.So3 static method) (mgplvm.manifolds.torus.Torus static method)

log_uniform (mgplvm.manifolds.s3.S3 attribute) (mgplvm.manifolds.so3.So3 attribute) (mgplvm.manifolds.torus.Torus property) logmap() (mgplvm.manifolds.base.Manifold static method) (mgplvm.manifolds.euclid.Euclid static method) (mgplvm.manifolds.s3.S3 static method) (mgplvm.manifolds.so3.So3 static method) (mgplvm.manifolds.torus.Torus static method) LossMarginStop (class in mgplvm.optimisers.stopping_criterions) Lprior (class in mgplvm.lpriors.common) lprior() (mgplvm.manifolds.base.Manifold method) (mgplvm.manifolds.euclid.Euclid method) (mgplvm.manifolds.s3.S3 method) (mgplvm.manifolds.so3.So3 method) (mgplvm.manifolds.torus.Torus method) LpriorEuclid (class in mgplvm.lpriors.euclidean) LpriorTorus (class in mgplvm.lpriors.torus) Lvgplvm (class in mgplvm.models.lgplvm)

M

Manif (class in mgplvm.syndata.gen_data) Manifold (class in mgplvm.manifolds.base) Matern (class in mgplvm.kernels.stationary) mean (mgplvm.dists.NegativeBinomial property) mgplvm module mgplvm.base module mgplvm.crossval module mgplvm.crossval.construct_model module mgplvm.crossval.crossval module mgplvm.crossval.crossval_bgpfa module mgplvm.crossval.train_model module mgplvm.dists module mgplvm.fast_utils module mgplvm.fast_utils.broadcasting module mgplvm.fast_utils.linear_cg module mgplvm.fast_utils.toeplitz module mgplvm.inducing_variables module mgplvm.kernels module mgplvm.kernels.kernel module mgplvm.kernels.linear module mgplvm.kernels.stationary module mgplvm.likelihoods module mgplvm.lpriors module mgplvm.lpriors.common module mgplvm.lpriors.euclidean module mgplvm.lpriors.torus module mgplvm.manifolds module mgplvm.manifolds.base module mgplvm.manifolds.euclid module mgplvm.manifolds.quaternion module mgplvm.manifolds.s3 module mgplvm.manifolds.so3 module mgplvm.manifolds.torus module mgplvm.models module mgplvm.models.bfa module mgplvm.models.gp_base module mgplvm.models.gplvm module mgplvm.models.lgplvm module mgplvm.models.svgp module mgplvm.models.svgplvm module mgplvm.optimisers module mgplvm.optimisers.data module mgplvm.optimisers.stopping_criterions module mgplvm.optimisers.svgp module mgplvm.rdist module mgplvm.rdist.common module mgplvm.rdist.GP_circ module

mgplvm.rdist.GP_diag module mgplvm.rdist.GPbase module mgplvm.rdist.relie module mgplvm.syndata module mgplvm.syndata.gen_data module mgplvm.utils module model_params() (in module mgplvm.crossval.construct_model) module mgplvm mgplvm.base mgplvm.crossval mgplvm.crossval.construct_model mgplvm.crossval.crossval mgplvm.crossval.crossval_bgpfa mgplvm.crossval.train_model mgplvm.dists mgplvm.fast_utils mgplvm.fast_utils.broadcasting mgplvm.fast_utils.linear_cg mgplvm.fast_utils.toeplitz mgplvm.inducing_variables mgplvm.kernels mgplvm.kernels.kernel mgplvm.kernels.linear mgplvm.kernels.stationary mgplvm.likelihoods mgplvm.lpriors mgplvm.lpriors.common mgplvm.lpriors.euclidean mgplvm.lpriors.torus mgplvm.manifolds mgplvm.manifolds.base mgplvm.manifolds.euclid mgplvm.manifolds.quaternion mgplvm.manifolds.s3 mgplvm.manifolds.so3 mgplvm.manifolds.torus mgplvm.models mgplvm.models.bfa mgplvm.models.gp_base mgplvm.models.gplvm mgplvm.models.lgplvm mgplvm.models.svgp mgplvm.models.svgplvm mgplvm.optimisers mgplvm.optimisers.data mgplvm.optimisers.stopping_criterions mgplvm.optimisers.svgp mgplvm.rdist mgplvm.rdist.common mgplvm.rdist.GP_circ mgplvm.rdist.GP_diag mgplvm.rdist.GPbase mgplvm.rdist.relie mgplvm.syndata mgplvm.syndata.gen_data mgplvm.utils Module (class in mgplvm.base) msg (mgplvm.kernels.linear.Linear property) (mgplvm.kernels.stationary.Matern property) (mgplvm.kernels.stationary.Stationary property) (mgplvm.likelihoods.Gaussian property) (mgplvm.likelihoods.Likelihood property) (mgplvm.likelihoods.NegativeBinomial property) (mgplvm.likelihoods.Poisson property) (mgplvm.likelihoods.ZIPoisson property) (mgplvm.lpriors.common.ARP property) (mgplvm.lpriors.common.Brownian property) (mgplvm.lpriors.common.Gaussian property) (mgplvm.lpriors.common.Lprior property) (mgplvm.lpriors.common.Null property) (mgplvm.lpriors.common.Uniform property) (mgplvm.lpriors.euclidean.DS property) (mgplvm.lpriors.euclidean.GP property) (mgplvm.lpriors.torus.IARP property) (mgplvm.lpriors.torus.LARP property) (mgplvm.lpriors.torus.VonMises property) (mgplvm.models.bfa.Bfa property) (mgplvm.models.bfa.Bvfa property) (mgplvm.models.bfa.Fa property) (mgplvm.models.bfa.vFa property) (mgplvm.models.svgp.Svgp property) msg() (mgplvm.rdist.GPbase.GPbase method) (mgplvm.rdist.relie.ReLieBase method) mvn() (mgplvm.rdist.relie.ReLieBase method)

N

name (mgplvm.kernels.linear.Linear attribute) (mgplvm.likelihoods.Gaussian attribute) (mgplvm.likelihoods.NegativeBinomial attribute) (mgplvm.likelihoods.Poisson attribute) (mgplvm.likelihoods.ZIPoisson attribute) (mgplvm.lpriors.common.ARP attribute) (mgplvm.lpriors.common.Brownian attribute) (mgplvm.lpriors.common.Gaussian attribute) (mgplvm.lpriors.common.Null attribute) (mgplvm.lpriors.common.Uniform attribute) (mgplvm.lpriors.euclidean.DS attribute) (mgplvm.lpriors.euclidean.GP attribute) (mgplvm.lpriors.torus.IARP attribute) (mgplvm.lpriors.torus.LARP attribute) (mgplvm.lpriors.torus.VonMises attribute) (mgplvm.manifolds.base.Manifold property) (mgplvm.manifolds.euclid.Euclid property) (mgplvm.manifolds.s3.S3 property) (mgplvm.manifolds.so3.So3 property) (mgplvm.manifolds.torus.Torus property) (mgplvm.models.bfa.Bfa attribute) (mgplvm.models.bfa.Bvfa attribute) (mgplvm.models.bfa.Fa attribute) (mgplvm.models.bfa.vFa attribute) (mgplvm.models.gplvm.Gplvm attribute) (mgplvm.models.lgplvm.Lgplvm attribute) (mgplvm.models.lgplvm.Lvgplvm attribute) (mgplvm.models.svgp.Svgp attribute) (mgplvm.models.svgplvm.SvgpLvm attribute) (mgplvm.rdist.GP_circ.GP_circ attribute) (mgplvm.rdist.GP_diag.GP_diag attribute) (mgplvm.rdist.GPbase.GPbase attribute) (mgplvm.rdist.relie.ReLie attribute) (mgplvm.rdist.relie.ReLieBase attribute) (mgplvm.syndata.gen_data.Euclid property) (mgplvm.syndata.gen_data.Product property) (mgplvm.syndata.gen_data.So3 property) (mgplvm.syndata.gen_data.Sphere property) (mgplvm.syndata.gen_data.Torus property)

name() (mgplvm.syndata.gen_data.Manif method) NegativeBinomial (class in mgplvm.dists) (class in mgplvm.likelihoods) neuron_scale (mgplvm.models.bfa.Bfa property) (mgplvm.models.bfa.Bvfa property) noisy_conds() (mgplvm.syndata.gen_data.Euclid method) (mgplvm.syndata.gen_data.Gen method) (mgplvm.syndata.gen_data.So3 method) (mgplvm.syndata.gen_data.Sphere method) (mgplvm.syndata.gen_data.Torus method) norm() (mgplvm.syndata.gen_data.So3 method) (mgplvm.syndata.gen_data.Sphere method) (mgplvm.syndata.gen_data.Torus method) not_in() (in module mgplvm.crossval.crossval) nu (mgplvm.rdist.GPbase.GPbase property) Null (class in mgplvm.lpriors.common)

P

param_shape (mgplvm.dists.NegativeBinomial property) parameterise() (mgplvm.manifolds.base.Manifold static method) (mgplvm.manifolds.euclid.Euclid static method) (mgplvm.manifolds.s3.S3 static method) (mgplvm.manifolds.so3.So3 static method) (mgplvm.manifolds.torus.Torus static method) parameterise_inducing() (mgplvm.manifolds.so3.So3 method) Poisson (class in mgplvm.likelihoods) predict() (mgplvm.models.bfa.Bfa method) (mgplvm.models.bfa.Bvfa method) (mgplvm.models.bfa.Fa method) (mgplvm.models.bfa.vFa method) (mgplvm.models.svgp.SvgpBase method) print_progress() (in module mgplvm.optimisers.svgp) prior_kl() (mgplvm.models.bfa.Bvfa method) (mgplvm.models.svgp.SvgpBase method) prms (mgplvm.base.Module property) (mgplvm.inducing_variables.InducingPoints property) (mgplvm.kernels.linear.Linear property) (mgplvm.kernels.stationary.Stationary property) (mgplvm.likelihoods.Gaussian property) (mgplvm.likelihoods.NegativeBinomial property) (mgplvm.likelihoods.Poisson property) (mgplvm.likelihoods.ZIPoisson property) (mgplvm.lpriors.common.ARP property) (mgplvm.lpriors.common.Brownian property) (mgplvm.lpriors.common.Gaussian property) (mgplvm.lpriors.euclidean.DS property) (mgplvm.lpriors.euclidean.GP property) (mgplvm.lpriors.torus.IARP property) (mgplvm.lpriors.torus.LARP property) (mgplvm.lpriors.torus.VonMises property) (mgplvm.models.bfa.Bfa property) (mgplvm.models.bfa.Bvfa property) (mgplvm.models.bfa.Fa property) (mgplvm.models.bfa.vFa property) (mgplvm.models.svgp.Svgp property) (mgplvm.rdist.GP_circ.GP_circ property) (mgplvm.rdist.GPbase.GPbase property) (mgplvm.rdist.relie.ReLie property) (mgplvm.rdist.relie.ReLieBase property)

prms() (mgplvm.lpriors.common.Null method) (mgplvm.lpriors.common.Uniform method) Product (class in mgplvm.syndata.gen_data) product() (in module mgplvm.manifolds.quaternion)

Q

q_mu (mgplvm.models.bfa.Bvfa property)

q_sqrt (mgplvm.models.bfa.Bvfa property) QuadExp (class in mgplvm.kernels.stationary)

R

Rdist (class in mgplvm.rdist.common) ReLie (class in mgplvm.rdist.relie)

ReLieBase (class in mgplvm.rdist.relie) reweight() (mgplvm.kernels.linear.Linear method)

S

S3 (class in mgplvm.manifolds.s3) sample() (mgplvm.dists.NegativeBinomial method) (mgplvm.likelihoods.Gaussian method) (mgplvm.likelihoods.Likelihood static method) (mgplvm.likelihoods.NegativeBinomial method) (mgplvm.likelihoods.Poisson method) (mgplvm.likelihoods.ZIPoisson method) (mgplvm.models.bfa.Bvfa method) (mgplvm.models.bfa.Fa method) (mgplvm.models.bfa.vFa method) (mgplvm.models.svgp.SvgpBase method) (mgplvm.rdist.common.Rdist method) (mgplvm.rdist.GPbase.GPbase method) (mgplvm.rdist.relie.ReLieBase method) scale (mgplvm.kernels.linear.Linear property) (mgplvm.kernels.stationary.Stationary property) (mgplvm.models.bfa.Bfa property) (mgplvm.models.bfa.Bvfa property) (mgplvm.rdist.GPbase.GPbase property)

scale_sqr (mgplvm.kernels.linear.Linear property) (mgplvm.kernels.stationary.Stationary property) set_param() (mgplvm.syndata.gen_data.Gen method) sigma (mgplvm.likelihoods.Gaussian property) (mgplvm.models.bfa.Bfa property) (mgplvm.models.bfa.Fa property) So3 (class in mgplvm.manifolds.so3) (class in mgplvm.syndata.gen_data) softplus() (in module mgplvm.utils) sort_params() (in module mgplvm.optimisers.svgp) Sphere (class in mgplvm.syndata.gen_data) Stationary (class in mgplvm.kernels.stationary) support (mgplvm.dists.NegativeBinomial attribute) Svgp (class in mgplvm.models.svgp) SvgpBase (class in mgplvm.models.svgp) SvgpLvm (class in mgplvm.models.svgplvm) sym_toeplitz() (in module mgplvm.fast_utils.toeplitz) sym_toeplitz_derivative_quadratic_form() (in module mgplvm.fast_utils.toeplitz) sym_toeplitz_getitem() (in module mgplvm.fast_utils.toeplitz) sym_toeplitz_matmul() (in module mgplvm.fast_utils.toeplitz)

T

test_cv() (in module mgplvm.crossval.crossval) toeplitz() (in module mgplvm.fast_utils.toeplitz) toeplitz_getitem() (in module mgplvm.fast_utils.toeplitz) toeplitz_matmul() (in module mgplvm.fast_utils.toeplitz) Torus (class in mgplvm.manifolds.torus) (class in mgplvm.syndata.gen_data) total_count (mgplvm.likelihoods.NegativeBinomial property) train_cv() (in module mgplvm.crossval.crossval) train_cv_bgpfa() (in module mgplvm.crossval.crossval_bgpfa) train_model() (in module mgplvm.crossval.train_model) training (mgplvm.base.Module attribute) (mgplvm.inducing_variables.InducingPoints attribute) (mgplvm.kernels.kernel.Kernel attribute) (mgplvm.kernels.linear.Linear attribute) (mgplvm.kernels.stationary.Exp attribute) (mgplvm.kernels.stationary.Matern attribute) (mgplvm.kernels.stationary.QuadExp attribute) (mgplvm.kernels.stationary.Stationary attribute) (mgplvm.likelihoods.Gaussian attribute) (mgplvm.likelihoods.Likelihood attribute) (mgplvm.likelihoods.NegativeBinomial attribute) (mgplvm.likelihoods.Poisson attribute) (mgplvm.likelihoods.ZIPoisson attribute) (mgplvm.lpriors.common.ARP attribute) (mgplvm.lpriors.common.Brownian attribute) (mgplvm.lpriors.common.Gaussian attribute) (mgplvm.lpriors.common.Lprior attribute) (mgplvm.lpriors.common.Null attribute) (mgplvm.lpriors.common.Uniform attribute) (mgplvm.lpriors.euclidean.DS attribute) (mgplvm.lpriors.euclidean.GP attribute) (mgplvm.lpriors.euclidean.LpriorEuclid attribute) (mgplvm.lpriors.torus.IARP attribute) (mgplvm.lpriors.torus.LARP attribute) (mgplvm.lpriors.torus.LpriorTorus attribute) (mgplvm.lpriors.torus.VonMises attribute) (mgplvm.models.bfa.Bfa attribute) (mgplvm.models.bfa.Bvfa attribute) (mgplvm.models.bfa.Fa attribute) (mgplvm.models.bfa.vFa attribute) (mgplvm.models.gp_base.GpBase attribute) (mgplvm.models.gplvm.Gplvm attribute) (mgplvm.models.lgplvm.Lgplvm attribute) (mgplvm.models.lgplvm.Lvgplvm attribute) (mgplvm.models.svgp.Svgp attribute) (mgplvm.models.svgp.SvgpBase attribute) (mgplvm.models.svgplvm.SvgpLvm attribute) (mgplvm.rdist.common.Rdist attribute) (mgplvm.rdist.GP_circ.GP_circ attribute) (mgplvm.rdist.GP_diag.GP_diag attribute) (mgplvm.rdist.GPbase.GPbase attribute) (mgplvm.rdist.relie.ReLie attribute) (mgplvm.rdist.relie.ReLieBase attribute)

training_params() (in module mgplvm.crossval.train_model) trK() (mgplvm.kernels.kernel.Kernel static method) (mgplvm.kernels.linear.Linear method) (mgplvm.kernels.stationary.Stationary method)

U

Uniform (class in mgplvm.lpriors.common)

update_params() (in module mgplvm.crossval.crossval)

V

variance (mgplvm.dists.NegativeBinomial property) variational_expectation (mgplvm.likelihoods.Likelihood property) variational_expectation() (mgplvm.likelihoods.Gaussian method) (mgplvm.likelihoods.NegativeBinomial method) (mgplvm.likelihoods.Poisson method) (mgplvm.likelihoods.ZIPoisson method)

vFa (class in mgplvm.models.bfa) VonMises (class in mgplvm.lpriors.torus)

Z

ZIPoisson (class in mgplvm.likelihoods)