Package: ldaPrototype 0.3.1
ldaPrototype: Prototype of Multiple Latent Dirichlet Allocation Runs
Determine a Prototype from a number of runs of Latent Dirichlet Allocation (LDA) measuring its similarities with S-CLOP: A procedure to select the LDA run with highest mean pairwise similarity, which is measured by S-CLOP (Similarity of multiple sets by Clustering with Local Pruning), to all other runs. LDA runs are specified by its assignments leading to estimators for distribution parameters. Repeated runs lead to different results, which we encounter by choosing the most representative LDA run as prototype.
Authors:
ldaPrototype_0.3.1.tar.gz
ldaPrototype_0.3.1.zip(r-4.5)ldaPrototype_0.3.1.zip(r-4.4)ldaPrototype_0.3.1.zip(r-4.3)
ldaPrototype_0.3.1.tgz(r-4.4-any)ldaPrototype_0.3.1.tgz(r-4.3-any)
ldaPrototype_0.3.1.tar.gz(r-4.5-noble)ldaPrototype_0.3.1.tar.gz(r-4.4-noble)
ldaPrototype_0.3.1.tgz(r-4.4-emscripten)ldaPrototype_0.3.1.tgz(r-4.3-emscripten)
ldaPrototype.pdf |ldaPrototype.html✨
ldaPrototype/json (API)
| # Install 'ldaPrototype' in R: |
| install.packages('ldaPrototype', repos = c('https://jonasrieger.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/jonasrieger/ldaprototype/issues
- reuters_docs - A Snippet of the Reuters Dataset
- reuters_vocab - A Snippet of the Reuters Dataset
latent-dirichlet-allocationldamodel-selectionmodelselectionreliabilitytext-miningtextdatatopic-modeltopic-modelstopic-similaritiestopicmodelingtopicmodelling
Last updated 2 years agofrom:3240581a9c. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Aug 23 2024 |
| R-4.5-win | OK | Aug 23 2024 |
| R-4.5-linux | OK | Aug 23 2024 |
| R-4.4-win | OK | Aug 23 2024 |
| R-4.4-mac | OK | Aug 23 2024 |
| R-4.3-win | OK | Aug 23 2024 |
| R-4.3-mac | OK | Aug 23 2024 |
Exports:as.LDAas.LDABatchas.LDARepcosineTopicsdendTopicsdisparitySumgetAlphagetAssignmentsgetConsideredWordsgetDocument_expectsgetDocument_sumsgetEstimatorsgetEtagetIDgetJobgetKgetLDAgetLog.likelihoodsgetMergedTopicsgetNum.iterationsgetParamgetPrototypegetPrototypeIDgetRegistrygetRelevantWordsgetSCLOPgetSimilaritygetTopicsis.LDAis.LDABatchis.LDARepjaccardTopicsjsTopicsLDALDABatchLDAPrototypeLDARepmergeBatchTopicsmergeRepTopicsmergeTopicspruneSCLOPpruning.parrboTopicsSCLOPSCLOP.pairwisesetFileDir
Dependencies:backportsbase64urlbatchtoolsBBmiscbrewcheckmateclicodetoolscolorspacecrayondata.tabledendextenddigestfansifarverfsfutureggplot2globalsgluegridExtragtablehmsisobandlabelinglatticeldalifecyclelistenvmagrittrMASSMatrixmgcvmunsellnlmeparallellyparallelMappillarpkgconfigprettyunitsprogressR6rappdirsRColorBrewerrlangscalesstringitibbleutf8vctrsviridisviridisLitewithr
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| ldaPrototype: Prototype of Multiple Latent Dirichlet Allocation Runs | ldaPrototype-package ldaPrototype |
| LDABatch Constructor | as.LDABatch is.LDABatch |
| LDARep Constructor | as.LDARep as.LDARep.default as.LDARep.LDARep is.LDARep |
| Pairwise Cosine Similarities | cosineTopics |
| Topic Dendrogram | dendTopics plot.TopicDendrogram |
| Getter and Setter for LDARep and LDABatch | getID getJob getLDA getRegistry setFileDir |
| Determine the Prototype LDA | getPrototype getPrototype.default getPrototype.LDABatch getPrototype.LDARep |
| Getter for PrototypeLDA | getConsideredWords.PrototypeLDA getID.PrototypeLDA getJob.PrototypeLDA getLDA.PrototypeLDA getMergedTopics getParam.PrototypeLDA getPrototypeID getRelevantWords.PrototypeLDA getSCLOP getSimilarity.PrototypeLDA |
| Getter for TopicSimilarity | getConsideredWords getParam.TopicSimilarity getRelevantWords getSimilarity |
| Getter for LDA | getAlpha getAssignments getDocument_expects getDocument_sums getEstimators getEta getK getLog.likelihoods getNum.iterations getParam getTopics |
| Pairwise Jaccard Coefficients | jaccardTopics |
| Pairwise Jensen-Shannon Similarities (Divergences) | jsTopics |
| LDA Object | as.LDA is.LDA LDA |
| LDA Replications on a Batch System | LDABatch |
| Determine the Prototype LDA | LDAPrototype |
| LDA Replications | LDARep |
| Merge LDA Topic Matrices | mergeBatchTopics mergeBatchTopics.default mergeBatchTopics.LDABatch |
| Merge LDA Topic Matrices | mergeRepTopics mergeRepTopics.default mergeRepTopics.LDARep |
| Merge LDA Topic Matrices | mergeTopics |
| Local Pruning State of Topic Dendrograms | plot.PruningSCLOP pruneSCLOP pruning.par |
| Pairwise RBO Similarities | rboTopics |
| A Snippet of the Reuters Dataset | docs reuters reuters_docs reuters_vocab vocab |
| Similarity/Stability of multiple sets of Objects using Clustering with Local Pruning | disparitySum SCLOP SCLOP.pairwise |
