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Functions1,743 in github.com/bab2min/tomotopy

⨍ Functions 1,743◇ Types & classes 460

↓ 7 callersMethodgetLLRest

src/TopicModel/LDAModel.hpp:633

↓ 7 callersMethodgetNumDocs

src/TopicModel/TopicModel.hpp:630

↓ 7 callersFunctionlgammaSubt

src/Utils/math.h:165

↓ 7 callersMethodmake_doc

Return a new `tomotopy.utils.Document` instance for an unseen document with `words` and `timepoint` that can be used for `tomotopy.models.LDAModel.inf

tomotopy/models.py:2594

↓ 7 callersMethodmax

src/Utils/math.h:251

↓ 7 callersMethodprepare

src/TopicModel/LDAModel.hpp:1073

↓ 6 callersMethodHDPModel

src/TopicModel/HDPModel.hpp:463

↓ 6 callersFunctionbuildPyValueReorder

src/python/handler/utils.h:330

↓ 6 callersFunctionbuildPyValueTransform

src/python/handler/PyUtils.h:1572

↓ 6 callersFunctiondigammaT

src/Utils/math.h:154

↓ 6 callersFunctionforShuffled

src/Utils/Utils.hpp:158

↓ 6 callersMethodgetEta

src/TopicModel/LDAModel.hpp:88

↓ 6 callersMethodgetEtaSum

src/TopicModel/LDAModel.hpp:93

↓ 6 callersMethodgetWidsByTopic

src/TopicModel/TopicModel.hpp:777

↓ 6 callersMethodget_topic_words

Return the `top_n` words and their probabilities in the topic `topic_id`. The return type is a `list` of (word:`str`, probability:`float`) tuples if

tomotopy/models.py:323

↓ 6 callersMethodinfer

.. versionadded:: 0.5.0 Return the inferred topic distribution and sub-topic distribution from unseen `doc`s. Parameters ---------- doc : Union[tomo

tomotopy/models.py:1572

↓ 6 callersMethodinsert

src/Utils/tvector.hpp:332

↓ 6 callersMethodpop_back

src/Utils/tvector.hpp:316

↓ 6 callersFunctionpopcnt

src/Utils/sample.hpp:19

↓ 6 callersMethodread

src/Utils/SharedString.h:83

↓ 6 callersMethodrender

(self, **kwargs)

tomotopy/viewer/viewer_server.py:353

↓ 6 callersFunctionsampleFromDiscrete

src/Utils/sample.hpp:121

↓ 6 callersFunctionsetPyError

src/python/handler/PyUtils.h:2172

↓ 6 callersFunctionsortAndWriteOrder

src/Utils/Utils.hpp:228

↓ 5 callersMethod_summary_basic_info

tomotopy/models.py:484

↓ 5 callersFunctionclearError

src/python/handler/PyUtils.h:645

↓ 5 callersMethodgetWordsByTopicSorted

src/TopicModel/TopicModel.hpp:807

↓ 5 callersMethodget_topic_label

(self, k, prefix='', id_suffix=False)

tomotopy/viewer/viewer_server.py:298

↓ 5 callersMethodget_topic_word_dist

Return the word distribution of the sub topic `sub_topic_id`. The returned value is a `list` that has `len(vocabs)` fraction numbers indicating probab

tomotopy/models.py:1533

↓ 5 callersMethodget_topics

Return the `top_n` topics with their probabilities for the document. Parameters ---------- top_n : int the `n` in "top-n" from_pseudo_doc : bool

tomotopy/utils.py:18

↓ 5 callersMethodmakeGeneratorForInit

src/TopicModel/LDAModel.hpp:757

↓ 5 callersMethodmapToNewDict

src/Utils/Dictionary.cpp:78

↓ 5 callersMethodpresampleDocument

called once before sampleDocument */

src/TopicModel/LDAModel.hpp:319

↓ 5 callersMethodtdf_linspace

Calculate topic distributions over a linspace of `numeric_metadata` values. .. versionchanged:: 0.12.0 A new argument `multi_metadata` for multi

tomotopy/models.py:1032

↓ 4 callersFunctionaccurate_rcp

src/Utils/neon_gamma.h:3

↓ 4 callersMethodadd_corpus

.. versionadded:: 0.10.0 Add new documents into the model instance using `tomotopy.utils.Corpus` and return an instance of corpus that contains the i

tomotopy/models.py:264

↓ 4 callersMethodadd_doc

Add a new document into the model instance and return an index of the inserted document. This method should be called before calling the `tomotopy.mod

tomotopy/models.py:279

↓ 4 callersFunctionbranchingEntropy

src/Labeling/Phraser.hpp:179

↓ 4 callersMethodbuildTable

src/Utils/AliasMethod.hpp:64

↓ 4 callersFunctioncountBigrams

src/Labeling/Phraser.hpp:57

↓ 4 callersFunctioncpuid

src/python/dispatcher/py_rt.cpp:35

↓ 4 callersMethoddata

src/Utils/SharedString.h:46

↓ 4 callersMethodextract_ngrams

..versionadded:: 0.10.0 Extract frequent n-grams using PMI score Parameters ---------- min_cf : int Minimum collection frequency of n-grams to b

tomotopy/utils.py:333

↓ 4 callersMethodgetJointNotProb

src/Coherence/ProbEstimator.hpp:189

↓ 4 callersMethodgetNumTable

src/TopicModel/HDP.h:45

↓ 4 callersMethodgetSubTopicsByDoc

src/TopicModel/PAModel.hpp:425

↓ 4 callersMethodgetWordWeight

src/TopicModel/LDA.h:153

↓ 4 callersMethodget_hash

tomotopy/models.py:305

↓ 4 callersFunctionimportFrom

src/python/handler/PyUtils.h:1269

↓ 4 callersMethodincref

src/python/handler/PyUtils.h:82

↓ 4 callersMethodis_live_topic

Return `True` if the topic `topic_id` is valid, otherwise return `False`. Parameters ---------- topic_id : int an integer in range [0, `k`) indic

tomotopy/models.py:1185

↓ 4 callersMethodloads

Return the model instance loaded from `data` in a bytes-like object.

tomotopy/models.py:126

↓ 4 callersFunctionparallelReduce

src/Labeling/Phraser.hpp:198

↓ 4 callersFunctionpartialProductDown

src/Utils/slp.hpp:119

↓ 4 callersMethodpytype

src/python/handler/PyUtils.h:483

↓ 4 callersFunctionquote

src/Utils/text.hpp:35

↓ 4 callersMethodset_word_prior

.. versionadded:: 0.6.0 Set word-topic prior. This method should be called before calling the `tomotopy.models.LDAModel.train`. Parameters ---------

tomotopy/models.py:433

↓ 4 callersMethodsize

src/Utils/SharedString.h:31

↓ 4 callersMethodtmid

src/TopicModel/DTModel.hpp:45

↓ 4 callersMethodtwid

src/TopicModel/LDAModel.hpp:125

↓ 3 callersMethodDMRModel

src/TopicModel/DMRModel.hpp:369

↓ 3 callersMethodFoRelevance

src/Labeling/FoRelevance.h:85

↓ 3 callersMethodPMIExtractor

src/Labeling/FoRelevance.h:25

↓ 3 callersFunction_apply_docs

(docs_dict, cls_map)

tomotopy/_docs_ko.py:2022

↓ 3 callersMethod_toCpp

src/python/handler/PyUtils.h:2138

↓ 3 callersMethoda

src/Utils/math.h:253

↓ 3 callersMethodb

src/Utils/math.h:254

↓ 3 callersFunctionchar2Byte

src/python/handler/py_main.cpp:19

↓ 3 callersMethodcomputeHash

src/TopicModel/LDA.h:97

↓ 3 callersFunctioncomputeHashMany

src/Utils/serializer.hpp:308

↓ 3 callersMethodconcat_ngrams

..versionadded:: 0.10.0 Concatenate n-grams matching the given candidates in the corpus into single words Parameters ---------- cands : Iterable[tom

tomotopy/utils.py:363

↓ 3 callersFunctiondigammaApprox

src/Utils/math.h:172

↓ 3 callersMethodfillFail

src/Utils/Trie.hpp:186

↓ 3 callersFunctiongetArrayDataPtr

src/python/handler/PyUtils.h:1280

↓ 3 callersMethodgetChild

src/TopicModel/HLDAModel.hpp:35

↓ 3 callersMethodgetLambdaByTopic

src/TopicModel/DMRModel.hpp:480

↓ 3 callersMethodgetNumTopicsPerLabel

src/TopicModel/LLDAModel.hpp:198

↓ 3 callersFunctiongetPObjectAddress

src/python/handler/PyUtils.h:1959

↓ 3 callersMethodgetParent

src/TopicModel/HLDAModel.hpp:23

↓ 3 callersMethodgetSumWordWeight

src/TopicModel/LDACVB0Model.hpp:35

↓ 3 callersMethodget_ll

.. versionadded:: 0.10.0 Return total log-likelihood for the current document.

tomotopy/utils.py:77

↓ 3 callersMethodget_topic_labels

Return the top-n label candidates for the topic `k` Parameters ---------- k : int an integer indicating a topic top_n : int the number of lab

tomotopy/label.py:83

↓ 3 callersMethodget_topic_prior

.. versionadded:: 0.12.0 Calculate the topic prior of any document with the given `metadata` and `multi_metadata`. If `raw` is true, the value witho

tomotopy/models.py:764

↓ 3 callersMethodget_topic_words

Return the `top_n` words and their probabilities in the topic `topic_id`. The return type is a `list` of (word:`str`, probability:`float`). Paramete

tomotopy/models.py:1741

↓ 3 callersMethodget_user_config

tomotopy/viewer/viewer_server.py:309

↓ 3 callersMethodhasDefinition

src/python/handler/PyUtils.h:3209

↓ 3 callersFunctionhue2rgb

(h:float, b:float = 1)

tomotopy/viewer/viewer_server.py:36

↓ 3 callersMethodinfer

Return the inferred topic distribution from unseen `doc`s. Parameters ---------- doc : Union[tomotopy.utils.Document, Iterable[tomotopy.utils.Documen

tomotopy/models.py:354

↓ 3 callersMethodlen

src/python/handler/py_utils.cpp:79

↓ 3 callersFunctionlgamma_subt

approximation : lgamma(z + a) - lgamma(z) = (z + a + 1.5) * log(z + a + 2) - (z + 1.5) * log(z + 2) - a + (1. / (z + a + 2) - 1. / (z + 2)) / 12. - lo

src/Utils/sse_gamma.h:18

↓ 3 callersMethodmakeNext

src/Utils/Trie.hpp:250

↓ 3 callersFunctionmergeNgramCounts

src/Labeling/Phraser.hpp:161

↓ 3 callersMethodmin

src/Utils/math.h:250

↓ 3 callersMethodrbegin

src/Labeling/FoRelevance.cpp:87

↓ 3 callersMethodserializerRead

src/Utils/Trie.hpp:220

↓ 3 callersMethodspan

a span (tuple of a start position and an end position in bytes) for each word token in the document (read-only)

tomotopy/utils.py:182

↓ 3 callersMethodsubstr

src/Utils/SharedString.cpp:107

↓ 3 callersMethodswap

src/Utils/Dictionary.cpp:58

↓ 3 callersFunctiontransform

src/python/handler/PyUtils.h:1446

↓ 3 callersFunctiontransformMisc

src/python/handler/py_LDA.cpp:12

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