rocm_jax/docs/jax.scipy.rst
Peter Hawkins 3e5ecfe363 Add jax.distributed and jax.dlpack to the docs.
Reorder the doc modules into something closer to alphabetical order.

Add missing functions from jax.scipy.linalg and jax.scipy.signal to the docs.
2022-02-17 16:10:07 -05:00

305 lines
4.0 KiB
ReStructuredText

jax.scipy package
=================
jax.scipy.fft
-------------
.. automodule:: jax.scipy.fft
.. autosummary::
:toctree: _autosummary
dct
dctn
jax.scipy.linalg
----------------
.. automodule:: jax.scipy.linalg
.. autosummary::
:toctree: _autosummary
block_diag
cho_factor
cho_solve
cholesky
det
eigh
expm
expm_frechet
inv
lu
lu_factor
lu_solve
qr
schur
sqrtm
solve
solve_triangular
svd
tril
triu
jax.scipy.ndimage
-----------------
.. automodule:: jax.scipy.ndimage
.. autosummary::
:toctree: _autosummary
map_coordinates
jax.scipy.optimize
------------------
.. automodule:: jax.scipy.optimize
.. autosummary::
:toctree: _autosummary
minimize
OptimizeResults
jax.scipy.signal
----------------
.. automodule:: jax.scipy.signal
.. autosummary::
:toctree: _autosummary
convolve
convolve2d
correlate
correlate2d
csd
stft
welch
jax.scipy.sparse.linalg
-----------------------
.. automodule:: jax.scipy.sparse.linalg
.. autosummary::
:toctree: _autosummary
bicgstab
cg
gmres
jax.scipy.special
-----------------
.. automodule:: jax.scipy.special
.. autosummary::
:toctree: _autosummary
betainc
digamma
entr
erf
erfc
erfinv
exp1
expi
expit
expn
gammainc
gammaincc
gammaln
i0
i0e
i1
i1e
log_ndtr
logit
logsumexp
lpmn
lpmn_values
multigammaln
ndtr
ndtri
polygamma
sph_harm
xlog1py
xlogy
zeta
jax.scipy.stats
---------------
jax.scipy.stats.bernoulli
~~~~~~~~~~~~~~~~~~~~~~~~~
.. automodule:: jax.scipy.stats.bernoulli
.. autosummary::
:toctree: _autosummary
logpmf
pmf
jax.scipy.stats.beta
~~~~~~~~~~~~~~~~~~~~
.. automodule:: jax.scipy.stats.beta
.. autosummary::
:toctree: _autosummary
logpdf
pdf
jax.scipy.stats.betabinom
~~~~~~~~~~~~~~~~~~~~~~~~~
.. automodule:: jax.scipy.stats.betabinom
.. autosummary::
:toctree: _autosummary
logpmf
pmf
jax.scipy.stats.cauchy
~~~~~~~~~~~~~~~~~~~~~~
.. automodule:: jax.scipy.stats.cauchy
.. autosummary::
:toctree: _autosummary
logpdf
pdf
jax.scipy.stats.chi2
~~~~~~~~~~~~~~~~~~~~
.. automodule:: jax.scipy.stats.chi2
.. autosummary::
:toctree: _autosummary
logpdf
pdf
jax.scipy.stats.dirichlet
~~~~~~~~~~~~~~~~~~~~~~~~~
.. automodule:: jax.scipy.stats.dirichlet
.. autosummary::
:toctree: _autosummary
logpdf
pdf
jax.scipy.stats.expon
~~~~~~~~~~~~~~~~~~~~~
.. automodule:: jax.scipy.stats.expon
.. autosummary::
:toctree: _autosummary
logpdf
pdf
jax.scipy.stats.gamma
~~~~~~~~~~~~~~~~~~~~~
.. automodule:: jax.scipy.stats.gamma
.. autosummary::
:toctree: _autosummary
logpdf
pdf
jax.scipy.stats.geom
~~~~~~~~~~~~~~~~~~~~
.. automodule:: jax.scipy.stats.geom
.. autosummary::
:toctree: _autosummary
logpmf
pmf
jax.scipy.stats.laplace
~~~~~~~~~~~~~~~~~~~~~~~
.. automodule:: jax.scipy.stats.laplace
.. autosummary::
:toctree: _autosummary
cdf
logpdf
pdf
jax.scipy.stats.logistic
~~~~~~~~~~~~~~~~~~~~~~~~
.. automodule:: jax.scipy.stats.logistic
.. autosummary::
:toctree: _autosummary
cdf
isf
logpdf
pdf
ppf
sf
jax.scipy.stats.multivariate_normal
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
.. automodule:: jax.scipy.stats.multivariate_normal
.. autosummary::
:toctree: _autosummary
logpdf
pdf
jax.scipy.stats.norm
~~~~~~~~~~~~~~~~~~~~
.. automodule:: jax.scipy.stats.norm
.. autosummary::
:toctree: _autosummary
cdf
logcdf
logpdf
pdf
ppf
jax.scipy.stats.pareto
~~~~~~~~~~~~~~~~~~~~~~
.. automodule:: jax.scipy.stats.pareto
.. autosummary::
:toctree: _autosummary
logpdf
pdf
jax.scipy.stats.poisson
~~~~~~~~~~~~~~~~~~~~~~~
.. automodule:: jax.scipy.stats.poisson
.. autosummary::
:toctree: _autosummary
logpmf
pmf
jax.scipy.stats.t
~~~~~~~~~~~~~~~~~
.. automodule:: jax.scipy.stats.t
.. autosummary::
:toctree: _autosummary
logpdf
pdf
jax.scipy.stats.uniform
~~~~~~~~~~~~~~~~~~~~~~~
.. automodule:: jax.scipy.stats.uniform
.. autosummary::
:toctree: _autosummary
logpdf
pdf