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A
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B
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C
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D
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E
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F
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G
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H
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I
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K
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L
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M
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N
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O
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P
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Q
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R
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S
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T
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U
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V
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W
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Z
A
ADVI (class in pymc3.variational.inference)
all_discrete() (in module pymc3.distributions.mixture)
apply() (pymc3.variational.opvi.Operator method)
apply_replacements() (pymc3.variational.opvi.Approximation method)
Approximation (class in pymc3.variational.opvi)
ASVGD (class in pymc3.variational.inference)
autocorr() (in module pymc3.stats)
autocorrplot() (in module pymc3.plots)
autocov() (in module pymc3.stats)
B
Bernoulli (class in pymc3.distributions.discrete)
Beta (class in pymc3.distributions.continuous)
BetaBinomial (class in pymc3.distributions.discrete)
BinaryGibbsMetropolis (class in pymc3.step_methods.metropolis)
BinaryMetropolis (class in pymc3.step_methods.metropolis)
Binomial (class in pymc3.distributions.discrete)
bpic() (in module pymc3.stats)
C
Categorical (class in pymc3.distributions.discrete)
CategoricalGibbsMetropolis (class in pymc3.step_methods.metropolis)
Cauchy (class in pymc3.distributions.continuous)
check_model() (pymc3.variational.opvi.Approximation method)
ChiSquared (class in pymc3.distributions.continuous)
compare() (in module pymc3.stats)
competence() (pymc3.step_methods.metropolis.BinaryGibbsMetropolis static method)
(pymc3.step_methods.metropolis.BinaryMetropolis static method)
(pymc3.step_methods.metropolis.CategoricalGibbsMetropolis static method)
Constant (class in pymc3.distributions.discrete)
construct_replacements() (pymc3.variational.opvi.Approximation method)
Cosine (class in pymc3.gp.cov)
create_shared_params() (pymc3.variational.opvi.Approximation method)
D
df_summary() (in module pymc3.stats)
dic() (in module pymc3.stats)
Dirichlet (class in pymc3.distributions.multivariate)
DiscreteUniform (class in pymc3.distributions.discrete)
DiscreteWeibull (class in pymc3.distributions.discrete)
dump() (in module pymc3.backends.text)
E
effective_n() (in module pymc3.diagnostics)
Empirical (class in pymc3.variational.approximations)
ExGaussian (class in pymc3.distributions.continuous)
expand_packed_triangular() (in module pymc3.math)
Exponential (class in pymc3.distributions.continuous)
(class in pymc3.gp.cov)
ExpQuad (class in pymc3.gp.cov)
F
fit() (in module pymc3.variational.inference)
(pymc3.variational.inference.ASVGD method)
(pymc3.variational.inference.Inference method)
Flat (class in pymc3.distributions.continuous)
forestplot() (in module pymc3.plots)
from_advi() (pymc3.variational.inference.FullRankADVI class method)
from_full_rank() (pymc3.variational.inference.FullRankADVI class method)
from_mean_field() (pymc3.variational.approximations.FullRank class method)
(pymc3.variational.inference.ADVI class method)
(pymc3.variational.inference.FullRankADVI class method)
from_noise() (pymc3.variational.approximations.Empirical class method)
FullRank (class in pymc3.variational.approximations)
FullRankADVI (class in pymc3.variational.inference)
G
Gamma (class in pymc3.distributions.continuous)
gelman_rubin() (in module pymc3.diagnostics)
GeneratorAdapter (class in pymc3.data)
Geometric (class in pymc3.distributions.discrete)
get_data() (in module pymc3.data)
get_values() (pymc3.backends.ndarray.NDArray method)
(pymc3.backends.sqlite.SQLite method)
(pymc3.backends.text.Text method)
geweke() (in module pymc3.diagnostics)
Gibbs (class in pymc3.gp.cov)
GLM (class in pymc3.glm.linear)
GP (class in pymc3.gp.gp)
H
HalfCauchy (class in pymc3.distributions.continuous)
HalfNormal (class in pymc3.distributions.continuous)
HamiltonianMC (class in pymc3.step_methods.hmc.hmc)
histogram (pymc3.variational.approximations.Empirical attribute)
histogram_logp (pymc3.variational.approximations.Empirical attribute)
hpd() (in module pymc3.stats)
I
Inference (class in pymc3.variational.inference)
init_nuts() (in module pymc3.sampling)
initial() (pymc3.variational.opvi.Approximation method)
Interpolated (class in pymc3.distributions.continuous)
InverseGamma (class in pymc3.distributions.continuous)
iter_sample() (in module pymc3.sampling)
K
KL (class in pymc3.variational.operators)
KSD (class in pymc3.variational.operators)
L
Laplace (class in pymc3.distributions.continuous)
Linear (class in pymc3.gp.cov)
LinearComponent (class in pymc3.glm.linear)
LKJCholeskyCov (class in pymc3.distributions.multivariate)
LKJCorr (class in pymc3.distributions.multivariate)
load() (in module pymc3.backends.sqlite)
(in module pymc3.backends.text)
log_q_W_global() (pymc3.variational.approximations.FullRank method)
(pymc3.variational.approximations.MeanField method)
(pymc3.variational.opvi.Approximation method)
log_q_W_local() (pymc3.variational.opvi.Approximation method)
LogDet (class in pymc3.math)
Lognormal (class in pymc3.distributions.continuous)
logq() (pymc3.variational.opvi.Approximation method)
loo() (in module pymc3.stats)
M
Matern32 (class in pymc3.gp.cov)
Matern52 (class in pymc3.gp.cov)
mc_error() (in module pymc3.stats)
MeanField (class in pymc3.variational.approximations)
Metropolis (class in pymc3.step_methods.metropolis)
Minibatch (class in pymc3.data)
minibatch (pymc3.data.Minibatch attribute)
Mixture (class in pymc3.distributions.mixture)
Multinomial (class in pymc3.distributions.multivariate)
MvNormal (class in pymc3.distributions.multivariate)
MvStudentT (class in pymc3.distributions.multivariate)
N
NDArray (class in pymc3.backends.ndarray)
NegativeBinomial (class in pymc3.distributions.discrete)
Normal (class in pymc3.distributions.continuous)
NormalMixture (class in pymc3.distributions.mixture)
NUTS (class in pymc3.step_methods.hmc.nuts)
O
OBJECTIVE (pymc3.variational.operators.KSD attribute)
(pymc3.variational.opvi.Operator attribute)
ObjectiveFunction (class in pymc3.variational.opvi)
Operator (class in pymc3.variational.opvi)
P
Pareto (class in pymc3.distributions.continuous)
plot_posterior() (in module pymc3.plots)
point() (pymc3.backends.ndarray.NDArray method)
(pymc3.backends.sqlite.SQLite method)
(pymc3.backends.text.Text method)
Poisson (class in pymc3.distributions.discrete)
Polynomial (class in pymc3.gp.cov)
pymc3.backends (module)
pymc3.backends.ndarray (module)
pymc3.backends.sqlite (module)
pymc3.backends.text (module)
pymc3.backends.tracetab (module)
pymc3.data (module)
pymc3.diagnostics (module)
pymc3.distributions.continuous (module)
pymc3.distributions.discrete (module)
pymc3.distributions.mixture (module)
pymc3.distributions.multivariate (module)
pymc3.glm.linear (module)
pymc3.gp.cov (module)
pymc3.gp.gp (module)
pymc3.math (module)
pymc3.plots (module)
pymc3.sampling (module)
pymc3.stats (module)
pymc3.step_methods.hmc.nuts (module)
pymc3.step_methods.metropolis (module)
pymc3.step_methods.slicer (module)
pymc3.variational.approximations (module)
pymc3.variational.inference (module)
pymc3.variational.operators (module)
pymc3.variational.opvi (module)
Q
quantiles() (in module pymc3.stats)
R
random() (pymc3.variational.opvi.Approximation method)
(pymc3.variational.opvi.ObjectiveFunction method)
random_fn (pymc3.variational.opvi.Approximation attribute)
random_global() (pymc3.variational.opvi.Approximation method)
random_local() (pymc3.variational.opvi.Approximation method)
RatQuad (class in pymc3.gp.cov)
record() (pymc3.backends.ndarray.NDArray method)
(pymc3.backends.sqlite.SQLite method)
(pymc3.backends.text.Text method)
S
sample() (in module pymc3.sampling)
(pymc3.variational.opvi.Approximation method)
sample_approx() (in module pymc3.variational.approximations)
sample_gp() (in module pymc3.gp.gp)
sample_node() (pymc3.variational.opvi.Approximation method)
sample_ppc() (in module pymc3.sampling)
scale_grad() (pymc3.variational.opvi.Approximation method)
score_function() (pymc3.variational.opvi.ObjectiveFunction method)
seed() (pymc3.variational.opvi.Approximation method)
setup() (pymc3.backends.ndarray.NDArray method)
(pymc3.backends.sqlite.SQLite method)
(pymc3.backends.text.Text method)
shared (pymc3.data.Minibatch attribute)
SkewNormal (class in pymc3.distributions.continuous)
Slice (class in pymc3.step_methods.slicer)
SQLite (class in pymc3.backends.sqlite)
step_function() (pymc3.variational.opvi.ObjectiveFunction method)
StudentT (class in pymc3.distributions.continuous)
summary() (in module pymc3.stats)
SVGD (class in pymc3.variational.inference)
T
Text (class in pymc3.backends.text)
to_flat_input() (pymc3.variational.opvi.Approximation method)
trace_to_dataframe() (in module pymc3.backends.tracetab)
traceplot() (in module pymc3.plots)
tround() (in module pymc3.math)
U
Uniform (class in pymc3.distributions.continuous)
updates() (pymc3.variational.opvi.ObjectiveFunction method)
V
view() (pymc3.variational.opvi.Approximation method)
VonMises (class in pymc3.distributions.continuous)
W
waic() (in module pymc3.stats)
Wald (class in pymc3.distributions.continuous)
WarpedInput (class in pymc3.gp.cov)
Weibull (class in pymc3.distributions.continuous)
Wishart (class in pymc3.distributions.multivariate)
WishartBartlett() (in module pymc3.distributions.multivariate)
Z
ZeroInflatedBinomial (class in pymc3.distributions.discrete)
ZeroInflatedNegativeBinomial (class in pymc3.distributions.discrete)
ZeroInflatedPoisson (class in pymc3.distributions.discrete)
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