Functions — github.com/Ardavans/sHDP

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Functions838 in github.com/Ardavans/sHDP

⨍ Functions 838◇ Types & classes 102

Methodlog_likelihood

(self,x,*args,**kwargs)

HDP/basic/distributions.py:21

Methodlog_marginal_likelihood

(self,data)

core/core_distributions.py:857

Methodlog_marginal_likelihood

(self,data)

core/core_distributions.py:1838

Methodlog_marginal_likelihood

(self,data)

core/core_distributions.py:2591

Methodlog_marginal_likelihood

(self,data)

core/core_distributions.py:2731

Methodlog_predictive_single

(self,y,olddata)

core/core_distributions.py:1848

Methodlog_predictive_studentt

(self,newdata,olddata)

core/core_distributions.py:879

Methodlog_sf

(self,x)

core/core_distributions.py:2536

Methodlog_sf

(self,x)

core/core_distributions.py:2826

Methodlog_sf

(self,x,**kwargs)

core/core_distributions.py:3329

Methodlog_sf

(self,x,*args,**kwargs)

HDP/basic/distributions.py:24

Methodlog_sf

(self,x)

HDP/basic/distributions.py:125

Methodloglike_lists_tests

(self)

core/testing/mixins.py:25

Functionmask_data

(data)

core/util/stats.py:26

(self,data,weights=None)

core/core_distributions.py:103

Methodmax_likelihood

(self,data,weights=None)

core/core_distributions.py:888

Methodmax_likelihood

(self,data,weights=None)

core/core_distributions.py:993

Methodmax_likelihood

(self,data,weights=None)

core/core_distributions.py:1093

Methodmax_likelihood

(self,data,weights=None)

core/core_distributions.py:1295

Methodmax_likelihood

(self,data,weights=None)

core/core_distributions.py:1778

Methodmax_likelihood

(self,data,weights=None)

core/core_distributions.py:2106

Methodmax_likelihood

(self,data,weights=None)

core/core_distributions.py:2387

Methodmax_likelihood

(self,*args,**kwargs)

core/core_distributions.py:2453

Methodmax_likelihood

(self,data,weights=None)

core/core_distributions.py:2580

Methodmax_likelihood

(self,data,weights=None)

core/core_distributions.py:2997

Methodmax_likelihood

(self,data,weights=None,stats=None)

core/core_distributions.py:3290

Methodmax_likelihood

sets the parameters set to their maximum likelihood values given the (weighted) data

core/core_abstractions.py:131

Methodmax_likelihood

(self,data,weights=None,*args,**kwargs)

HDP/basic/distributions.py:42

Methodmean

(d)

core/testing/test_distributions.py:100

Methodmeanfield_coordinate_descent

(self,tol=1e-1,maxiter=250,progprint=False,**kwargs)

core/core_abstractions.py:209

Methodmeanfield_coordinate_descent_step

(self,num_procs=0)

HDP/models.py:90

Methodmeanfield_sgdstep

(self,data,weights,minibatchfrac,stepsize)

core/core_distributions.py:134

Methodmeanfield_sgdstep

(self,data,weights,minibatchfrac,stepsize)

core/core_distributions.py:496

Methodmeanfield_sgdstep

(self,data,weights,minibatchfrac,stepsize)

core/core_distributions.py:786

Methodmeanfield_sgdstep

(self,data,weights,minibatchfrac,stepsize)

core/core_distributions.py:1344

Methodmeanfield_sgdstep

(self,data,weights,minibatchfrac,stepsize)

core/core_distributions.py:1980

Methodmeanfield_sgdstep

(self,data,weights,minibatchfrac,stepsize)

core/core_distributions.py:2374

Methodmeanfield_sgdstep

(self,data,weights,minibatchfrac,stepsize)

core/core_distributions.py:2950

Methodmeanfield_sgdstep

(self,data,weights,minibatchfrac,stepsize)

core/core_distributions.py:3137

Methodmeanfield_sgdstep

(self,expected_suff_stats,minibatchfrac,stepsize)

core/core_abstractions.py:110

Methodmeanfield_sgdstep

(self,minibatch,minibatchfrac,stepsize)

core/core_abstractions.py:225

Methodmeanfield_sgdstep

(self,minibatch,weights,minibatchfrac,stepsize)

core/core_models.py:398

Methodmeanfield_sgdstep

(self,expected_states_doc_num_pair,minibatchfrac,stepsize)

HDP/internals/transitions.py:148

Methodmeanfield_sgdstep

(self,data,weights,minibatchfrac,stepsize)

HDP/basic/distributions.py:58

Methodmeanfieldupdate

(self,*args,**kwargs)

core/core_distributions.py:44

Methodmeanfieldupdate

(self,data,weights,**kwargs)

core/core_distributions.py:122

Methodmeanfieldupdate

(self,data,weights)

core/core_distributions.py:473

Methodmeanfieldupdate

(self,data,weights)

core/core_distributions.py:781

Methodmeanfieldupdate

(self,data,weights)

core/core_distributions.py:1340

Methodmeanfieldupdate

(self,data,weights,niter=None)

core/core_distributions.py:2011

Methodmeanfieldupdate

(self,data,weights)

core/core_distributions.py:2349

Methodmeanfieldupdate

(self,*args,**kwargs)

core/core_distributions.py:2449

Methodmeanfieldupdate

(self,data,weights)

core/core_distributions.py:2945

Methodmeanfieldupdate

(self,data,weights)

core/core_distributions.py:3110

Methodmeanfieldupdate

(self,data,weights)

core/core_abstractions.py:100

Methodmeanfieldupdate

(self,expected_states_doc_num_pair)

HDP/internals/transitions.py:74

Methodmeanfieldupdate

(self,data,weights,*args,**kwargs)

HDP/basic/distributions.py:50

Methodmf_aBl

(self)

HDP/internals/hmm_states.py:182

Methodmf_natural_hypparam

(self)

core/core_distributions.py:530

Methodmf_natural_hypparam

(self)

core/core_distributions.py:795

Methodmf_natural_hypparam

(self)

core/core_distributions.py:1329

Methodmf_natural_hypparam

(self)

core/core_distributions.py:1942

Methodmf_natural_hypparam

(self)

core/core_distributions.py:2715

Methodmf_trans_matrix

(self)

HDP/internals/hmm_states.py:195

Functionminibatchsize

(lst)

core/util/general.py:271

Functionminibatchsize

(lst)

HDP/util/general.py:290

Methodmissing_data_tests

(self)

core/testing/mixins.py:61

Functionmultivariate_t_loglik

(y,nu,mu,lmbda)

HDP/util/stats.py:258

Methodnatural_hypparam

(self)

core/core_distributions.py:252

Methodnatural_hypparam

(self)

core/core_distributions.py:695

Methodnatural_hypparam

(self)

core/core_distributions.py:1310

Methodnatural_hypparam

(self)

core/core_distributions.py:1934

Methodnatural_hypparam

(self)

core/core_distributions.py:2711

Methodnatural_hypparam

(self)

core/core_distributions.py:2932

Functionndarrayhash

(v)

HDP/util/general.py:340

Methodnewpt

(pt,grad,stepsize)

HDP/internals/transitions.py:170

Functionnice_indices

takes an array like [1,1,5,5,5,999,1,1] and maps to something like [0,0,1,1,1,2,0,0] modifies original in place as well as returns a ref

core/util/general.py:79

Functionnice_indices

takes an array like [1,1,5,5,5,999,1,1] and maps to something like [0,0,1,1,1,2,0,0] modifies original in place as well as returns a ref

HDP/util/general.py:91

Methodnum_parameters

(self)

core/core_distributions.py:38

Methodnum_parameters

(self)

core/core_distributions.py:70

Methodnum_parameters

(self)

core/core_distributions.py:266

Methodnum_parameters

(self)

core/core_distributions.py:720

Methodnum_parameters

(self)

core/core_distributions.py:942

Methodnum_parameters

(self)

core/core_distributions.py:1041

Methodnum_parameters

(self)

core/core_distributions.py:2302

Methodnum_parameters

(self)

core/core_abstractions.py:139

Methodnum_parameters

(self)

core/core_models.py:211

Methodnum_states

(self)

HDP/internals/hmm_states.py:59

Methodobs_distns

(self)

HDP/internals/hmm_states.py:50

Functionone_vs_all

(stuff)

core/util/general.py:35

Functionone_vs_all

(stuff)

HDP/util/general.py:47

Methodp

(self)

core/core_distributions.py:3082

Methodparams

(self)

core/core_distributions.py:62

Methodparams

(self)

core/core_distributions.py:150

Methodparams

(self)

core/core_distributions.py:578

Methodparams

(self)

core/core_distributions.py:1697

Methodparams

(self)

core/core_distributions.py:2141

Methodparams

(self)

core/core_distributions.py:2206

Methodparams

(self)

core/core_distributions.py:2294

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