awips2/pythonPackages/scipy/doc/source/maxentropy.rst
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================================================
Maximum entropy models (:mod:`scipy.maxentropy`)
================================================
.. automodule:: scipy.maxentropy
Models
======
.. autoclass:: scipy.maxentropy.basemodel
.. autosummary::
:toctree: generated/
basemodel.beginlogging
basemodel.endlogging
basemodel.clearcache
basemodel.crossentropy
basemodel.dual
basemodel.fit
basemodel.grad
basemodel.log
basemodel.logparams
basemodel.normconst
basemodel.reset
basemodel.setcallback
basemodel.setparams
basemodel.setsmooth
.. autoclass:: scipy.maxentropy.model
.. autosummary::
:toctree: generated/
model.expectations
model.lognormconst
model.logpmf
model.pmf_function
model.setfeaturesandsamplespace
.. autoclass:: scipy.maxentropy.bigmodel
.. autosummary::
:toctree: generated/
bigmodel.estimate
bigmodel.logpdf
bigmodel.pdf
bigmodel.pdf_function
bigmodel.resample
bigmodel.setsampleFgen
bigmodel.settestsamples
bigmodel.stochapprox
bigmodel.test
.. autoclass:: scipy.maxentropy.conditionalmodel
.. autosummary::
:toctree: generated/
conditionalmodel.dual
conditionalmodel.expectations
conditionalmodel.fit
conditionalmodel.lognormconst
conditionalmodel.logpmf
Utilities
=========
.. autosummary::
:toctree: generated/
arrayexp
arrayexpcomplex
columnmeans
columnvariances
densefeaturematrix
densefeatures
dotprod
flatten
innerprod
innerprodtranspose
logsumexp
logsumexp_naive
robustlog
rowmeans
sample_wr
sparsefeaturematrix
sparsefeatures