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 |
model.expectations | |
model.lognormconst | |
model.logpmf | |
model.pmf_function | |
model.setfeaturesandsamplespace |
bigmodel.estimate | |
bigmodel.logpdf | |
bigmodel.pdf | |
bigmodel.pdf_function | |
bigmodel.resample | |
bigmodel.setsampleFgen | |
bigmodel.settestsamples | |
bigmodel.stochapprox | |
bigmodel.test |
conditionalmodel.dual | |
conditionalmodel.expectations | |
conditionalmodel.fit | |
conditionalmodel.lognormconst | |
conditionalmodel.logpmf |
arrayexp | |
arrayexpcomplex | |
columnmeans | |
columnvariances | |
densefeaturematrix | |
densefeatures | |
dotprod | |
flatten | |
innerprod | |
innerprodtranspose | |
logsumexp | |
logsumexp_naive | |
robustlog | |
rowmeans | |
sample_wr | |
sparsefeaturematrix | |
sparsefeatures |