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Functions838 in github.com/Ardavans/sHDP

⨍ Functions 838◇ Types & classes 102
Method__init__
(self,mu=None,sigma=None,mu_0=None,nu_0=None,alpha_0=None,beta_0=None)
core/core_distributions.py:1633
Method__init__
(self,mu=None,sigmasq=None,mu_0=None,kappa_0=None,sigmasq_0=None,nu_0=None)
core/core_distributions.py:1799
Method__init__
(self,mu=None,sigmasq=None,mu_0=None,tausq_0=None,sigmasq_0=None,nu_0=None, niter=1)
core/core_distributions.py:1860
Method__init__
(self,h_0,J_0,alpha_0,beta_0, mu=None,sigmasq=None, h_mf=None,J_mf=None,alpha_mf=None,
core/core_distributions.py:1902
Method__init__
(self,mu=None,sigmasq=None,mu_0=None,tausq_0=None)
core/core_distributions.py:2047
Method__init__
(self,high=None,x_m=None,alpha=None,low=0.)
core/core_distributions.py:2130
Method__init__
(self,low=None,high=None, x_m_low=None,alpha_low=None,x_m_high=None,alpha_high=None)
core/core_distributions.py:2192
Method__init__
(self,weights=None,alpha_0=None,K=None,alphav_0=None,alpha_mf=None)
core/core_distributions.py:2262
Method__init__
(self,a_0,b_0,K,alpha_0=None,weights=None)
core/core_distributions.py:2418
Method__init__
(self,alpha_0=None,beta_0=None,p=None)
core/core_distributions.py:2509
Method__init__
(self,lmbda=None,alpha_0=None,beta_0=None)
core/core_distributions.py:2611
Method__init__
(self,r=None,p=None,k_0=None,theta_0=None,alpha_0=None,beta_0=None)
core/core_distributions.py:2788
Method__init__
(self,r=None,p=None,alpha_0=None,beta_0=None,alpha_mf=None,beta_mf=None)
core/core_distributions.py:2912
Method__init__
(self,alpha_0=None,beta_0=None,alphas_0=None,betas_0=None, r_support=None,r_probs=None,r_discrete_
core/core_distributions.py:3044
Method__init__
(self,r_discrete_distn=None,r_support=None, alpha_0=None,beta_0=None,r=None,p=None)
core/core_distributions.py:3195
Method__init__
(self,K,a_0,b_0,concentration=None)
core/core_distributions.py:3527
Method__init__
(self,niter=1,**kwargs)
core/core_models.py:320
Method__init__
(self,alpha_0,obs_distn)
core/core_models.py:461
Method__init__
(self,components,weights,data=None,N=None,z=None, initialize_from_prior=True)
core/internals/labels.py:14
Method__init__
(self, obs_distns, num_docs = None, trans_distn=None, alpha=No
HDP/models.py:18
Method__init__
(self,gamma,alpha,num_states,num_docs, beta=None,trans_matrix=None)
HDP/internals/transitions.py:103
Method__init__
(self,model,T=None, doc_num = None, data=None,stateseq=None, num_states = None, generate=True,init
HDP/internals/hmm_states.py:19
Method__init__
(self,dur_distn,delay)
HDP/basic/distributions.py:140
Method__repr__
(self)
core/core_distributions.py:1707
Method__repr__
(self)
core/core_distributions.py:3068
Method__repr__
(self)
core/core_abstractions.py:63
Method_empty_stats
(self)
core/core_distributions.py:1617
Method_get_alpha_0
(self)
core/core_distributions.py:2272
Method_get_alpha_0
(self)
core/core_distributions.py:2423
Method_get_alphav_0
(self)
core/core_distributions.py:2282
Method_get_counts
(self,k)
core/core_models.py:433
Method_get_data_withlabel
(self,k)
core/core_models.py:436
Method_get_empty_statistics
(self, D)
core/core_distributions.py:403
Method_get_empty_statistics
(self, D)
core/core_distributions.py:746
Method_get_mu
(self)
core/core_distributions.py:1123
Method_get_sigma
(self)
core/core_distributions.py:1132
Method_get_statistics
(data,K)
core/core_distributions.py:2480
Method_get_statistics
(self,data)
core/core_distributions.py:3340
Method_get_statistics_python
(self,data)
core/core_distributions.py:3580
Method_get_weighted_statistics
(self,data,weights)
core/core_distributions.py:3267
Method_get_weighted_statistics
(self,data,weights)
core/core_distributions.py:3346
Method_log_base_measure
(self,data)
core/core_distributions.py:3315
Method_max_likelihood_ps
(self,n,tot,rs)
core/core_distributions.py:3388
Method_natural_to_standard
(self,natparam)
core/core_distributions.py:262
Method_resample_from_mf
(self)
core/core_distributions.py:465
Method_resample_from_mf
(self)
core/core_distributions.py:776
Method_resample_from_mf
(self)
core/core_distributions.py:1951
Method_resample_from_mf
(self)
core/core_distributions.py:2382
Method_resample_from_mf
(self)
core/core_distributions.py:2682
Method_resample_from_mf
(self)
core/core_distributions.py:2941
Method_resample_from_mf
(self)
core/core_distributions.py:3089
Method_resample_from_mf
(self)
HDP/internals/transitions.py:87
Method_set_alpha_0
(self,alpha_0)
core/core_distributions.py:2275
Method_set_alpha_0
(self,alpha_0)
core/core_distributions.py:2426
Method_set_alphav_0
(self,alphav_0)
core/core_distributions.py:2285
Method_set_mu
(self,val)
core/core_distributions.py:1126
Method_set_sigma
(self,val)
core/core_distributions.py:1135
Method_set_up_logF
(cls)
core/core_distributions.py:2896
Method_standard_to_natural
(self,mu_mf,sigma_mf,kappa_mf,nu_mf)
core/core_distributions.py:259
Method_update_rho_mf
(self,data,weights)
core/core_distributions.py:3399
MethodaBl
(self)
HDP/internals/hmm_states.py:85
Methodadd_data
(self,data)
core/core_abstractions.py:165
Methodadd_data
(self,data)
core/core_models.py:468
Methodall_expected_stats
(self)
HDP/internals/hmm_states.py:202
Methodalpha
(self)
HDP/internals/transitions.py:45
Methodalphas_0
(self)
core/core_distributions.py:3072
Methodalphav
(self)
HDP/internals/transitions.py:54
Functionapply_whitening
(x)
HDP/util/stats.py:101
Functionassert_populations_eq
(pop1, pop2)
core/util/testing.py:74
Functionassert_populations_eq
(pop1, pop2)
HDP/util/testing.py:74
Functionatleast_2d
(data)
HDP/util/stats.py:20
Methodbasic_data_size
(self)
core/testing/mixins.py:22
Functionbeta_predictive
(priorcounts,newcounts)
core/util/stats.py:305
Functionbeta_predictive
(priorcounts,newcounts)
HDP/util/stats.py:268
Methodbetas_0
(self)
core/core_distributions.py:3077
Methodbig_data_hyperparameter_settings
(self)
core/testing/mixins.py:94
Methodbig_data_repeats_per_setting
(self)
core/testing/mixins.py:90
Methodbig_data_size
(self)
core/testing/test_distributions.py:131
Methodbig_data_size
(self)
core/testing/test_distributions.py:465
Methodbig_data_size
(self)
core/testing/mixins.py:86
Methodbig_data_tests
(self)
core/testing/mixins.py:98
Methodblock_predictive_likelihoods
(self,test_data,blocklens)
core/core_models.py:308
Functionblock_view
(a,block_shape)
core/util/general.py:204
Methodcheck_big_data
(self,setting_idx,hypparam_dict)
core/testing/mixins.py:103
Methodcheck_geweke
(self,setting_idx,hypparam_dict)
core/testing/mixins.py:161
Methodcheck_loglike_lists
(self,setting_idx,hypparam_dict)
core/testing/mixins.py:29
Methodcheck_missing_data_stats
(self,setting_idx,hypparam_dict)
core/testing/mixins.py:65
Methodcheck_stats_lists
(self,setting_idx,hypparam_dict)
core/testing/mixins.py:42
Methodcopy_sample
(self)
core/core_distributions.py:50
Methodcopy_sample
(self)
core/core_distributions.py:457
Methodcopy_sample
(self)
core/core_distributions.py:768
Methodcopy_sample
(self)
core/core_models.py:100
Methodcopy_sample
(self)
core/internals/labels.py:47
Methodcopy_sample
(self)
HDP/internals/transitions.py:63
Methodcopy_sample
(self,newmodel)
HDP/internals/hmm_states.py:38
Functioncount_transitions
(stateseq,minlength=None)
core/util/general.py:209
Functioncount_transitions
(stateseq,minlength=None)
HDP/util/general.py:228
Functioncount_transitions
(stateseq, num_states)
HDP/util/stats.py:111
Functioncov
(a)
core/util/stats.py:90
Functioncreate_extension_list
(patterns, exclude=[], ctx=None, aliases=None, quiet=False, exclude_failures=False)
core/util/cyutil.py:6
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