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add missing objects and modules to docs
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Aesara utils | ||
************ | ||
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.. currentmodule:: pymc | ||
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.. autosummary:: | ||
:toctree: generated/ | ||
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gradient | ||
hessian | ||
hessian_diag | ||
inputvars | ||
cont_inputs | ||
floatX | ||
intX | ||
smartfloatX | ||
jacobian | ||
CallableTensor | ||
join_nonshared_inputs | ||
make_shared_replacements | ||
generator | ||
set_at_rng | ||
at_rng | ||
take_along_axis | ||
pandas_to_array |
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Storage backends | ||
**************** | ||
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.. currentmodule:: pymc | ||
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.. autosummary:: | ||
:toctree: generated/ | ||
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to_inference_data | ||
predictions_to_inference_data | ||
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Internal structures | ||
------------------- | ||
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.. automodule:: pymc.backends | ||
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.. autosummary:: | ||
:toctree: generated/ | ||
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NDArray | ||
point_list_to_multitrace | ||
base.BaseTrace | ||
base.MultiTrace |
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Bayesian Additive Regression Trees (BART) | ||
***************************************** | ||
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.. currentmodule:: pymc | ||
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.. autosummary:: | ||
:toctree: generated/ | ||
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BART | ||
PGBART | ||
bart.plot_dependence | ||
bart.predict |
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Data | ||
**** | ||
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.. currentmodule:: pymc | ||
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.. autosummary:: | ||
:toctree: generated/ | ||
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ConstantData | ||
MutableData | ||
get_data | ||
Data | ||
GeneratorAdapter | ||
Minibatch | ||
align_minibatches |
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Other utils | ||
*********** | ||
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.. currentmodule:: pymc | ||
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.. autosummary:: | ||
:toctree: generated/ | ||
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find_constrained_prior | ||
DictToArrayBijection | ||
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Printing | ||
-------- | ||
.. autosummary:: | ||
:toctree: generated/ | ||
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str_for_dist | ||
str_for_model | ||
str_for_potential_or_deterministic |
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Model | ||
----- | ||
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.. currentmodule:: pymc.model | ||
.. automodule:: pymc.model | ||
:members: | ||
Model creation and inspection | ||
----------------------------- | ||
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.. currentmodule:: pymc | ||
.. autosummary:: | ||
:toctree: generated/ | ||
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Model | ||
model_to_graphviz | ||
modelcontext | ||
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Others | ||
------ | ||
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.. autosummary:: | ||
:toctree: generated/ | ||
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Deterministic | ||
Potential | ||
set_data | ||
Point | ||
compile_fn |
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==== | ||
Samplers | ||
==== | ||
======== | ||
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This submodule contains functions for MCMC sampling. | ||
This submodule contains functions for MCMC and forward sampling. | ||
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.. currentmodule:: pymc.sampling | ||
.. currentmodule:: pymc | ||
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.. autosummary:: | ||
:toctree: generated/ | ||
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.. automodule:: pymc.sampling | ||
:members: | ||
sample | ||
sample_prior_predictive | ||
sample_posterior_predictive | ||
sample_posterior_predictive_w | ||
iter_sample | ||
init_nuts | ||
draw | ||
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Step methods | ||
************ | ||
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.. currentmodule:: pymc | ||
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HMC family | ||
---------- | ||
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.. autosummary:: | ||
:toctree: generated/ | ||
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NUTS | ||
HamiltonianMC | ||
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Metropolis family | ||
----------------- | ||
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.. autosummary:: | ||
:toctree: generated/ | ||
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BinaryGibbsMetropolis | ||
BinaryMetropolis | ||
CategoricalGibbsMetropolis | ||
CauchyProposal | ||
DEMetropolis | ||
DEMetropolisZ | ||
LaplaceProposal | ||
Metropolis | ||
MultivariateNormalProposal | ||
NormalProposal | ||
PoissonProposal | ||
UniformProposal | ||
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MLDA family | ||
----------- | ||
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.. autosummary:: | ||
:toctree: generated/ | ||
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MLDA | ||
DEMetropolisZMLDA | ||
MetropolisMLDA | ||
RecursiveDAProposal | ||
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Other step methods | ||
------------------ | ||
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.. autosummary:: | ||
:toctree: generated/ | ||
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CompoundStep | ||
EllipticalSlice | ||
Slice |
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