CRAN Package Check Results for Package topicmodels.etm

Last updated on 2025-10-09 20:04:25 CEST.

Flavor	Version	Tinstall	Tcheck	Ttotal	Status	Flags
r-devel-linux-x86_64-debian-clang	0.1.0	8.75	225.05	233.80	NOTE
r-devel-linux-x86_64-debian-gcc	0.1.0	10.09	201.99	212.08	NOTE
r-devel-linux-x86_64-fedora-clang	0.1.0			361.87	NOTE
r-devel-linux-x86_64-fedora-gcc	0.1.0			336.79	NOTE
r-devel-windows-x86_64	0.1.0	16.00	111.00	127.00	ERROR
r-patched-linux-x86_64	0.1.0	10.99	217.77	228.76	NOTE
r-release-linux-x86_64	0.1.0	10.01	219.18	229.19	NOTE
r-release-macos-arm64	0.1.0			103.00	NOTE
r-release-macos-x86_64	0.1.0			208.00	NOTE
r-release-windows-x86_64	0.1.0	12.00	111.00	123.00	ERROR
r-oldrel-macos-arm64	0.1.0			47.00	NOTE
r-oldrel-macos-x86_64	0.1.0			65.00	NOTE
r-oldrel-windows-x86_64	0.1.0	15.00	139.00	154.00	ERROR

Check Details

Version: 0.1.0
Check: CRAN incoming feasibility
Result: NOTE Maintainer: ‘Jan Wijffels <jwijffels@bnosac.be>’ The Description field contains David M. Blei (2019), available at <arXiv:1907.04907>. Please refer to arXiv e-prints via their arXiv DOI <doi:10.48550/arXiv.YYMM.NNNNN>. Flavors: r-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc

Version: 0.1.0
Check: Rd files
Result: NOTE checkRd: (-1) ETM.Rd:33: Lost braces in \itemize; \value handles \item{}{} directly checkRd: (-1) ETM.Rd:34: Lost braces in \itemize; \value handles \item{}{} directly checkRd: (-1) ETM.Rd:35: Lost braces in \itemize; \value handles \item{}{} directly checkRd: (-1) ETM.Rd:36: Lost braces in \itemize; \value handles \item{}{} directly checkRd: (-1) ETM.Rd:37: Lost braces in \itemize; \value handles \item{}{} directly Flavors: r-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc, r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc, r-devel-windows-x86_64, r-patched-linux-x86_64, r-release-linux-x86_64, r-release-macos-arm64, r-release-macos-x86_64, r-release-windows-x86_64, r-oldrel-macos-arm64, r-oldrel-macos-x86_64, r-oldrel-windows-x86_64

Version: 0.1.0
Check: examples
Result: ERROR Running examples in 'topicmodels.etm-Ex.R' failed The error most likely occurred in: > ### Name: ETM > ### Title: Topic Modelling in Semantic Embedding Spaces > ### Aliases: ETM > > ### ** Examples > > library(torch) > library(topicmodels.etm) > library(word2vec) > library(udpipe) > data(brussels_reviews_anno, package = "udpipe") > ## > ## Toy example with pretrained embeddings > ## > > ## a. build word2vec model > x <- subset(brussels_reviews_anno, language %in% "nl") > x <- paste.data.frame(x, term = "lemma", group = "doc_id") > set.seed(4321) > w2v <- word2vec(x = x$lemma, dim = 15, iter = 20, type = "cbow", min_count = 5) > embeddings <- as.matrix(w2v) > > ## b. build document term matrix on nouns + adjectives, align with the embedding terms > dtm <- subset(brussels_reviews_anno, language %in% "nl" & upos %in% c("NOUN", "ADJ")) > dtm <- document_term_frequencies(dtm, document = "doc_id", term = "lemma") > dtm <- document_term_matrix(dtm) > dtm <- dtm_conform(dtm, columns = rownames(embeddings)) > dtm <- dtm[dtm_rowsums(dtm) > 0, ] > > ## create and fit an embedding topic model - 8 topics, theta 100-dimensional > if (torch::torch_is_installed()) { + + set.seed(4321) + torch_manual_seed(4321) + model <- ETM(k = 8, dim = 100, embeddings = embeddings, dropout = 0.5) + optimizer <- optim_adam(params = model$parameters, lr = 0.005, weight_decay = 0.0000012) + overview <- model$fit(data = dtm, optimizer = optimizer, epoch = 40, batch_size = 1000) + scores <- predict(model, dtm, type = "topics") + + lastbatch <- subset(overview$loss, overview$loss$batch_is_last == TRUE) + plot(lastbatch$epoch, lastbatch$loss) + plot(overview$loss_test) + + ## show top words in each topic + terminology <- predict(model, type = "terms", top_n = 7) + terminology + + ## + ## Toy example without pretrained word embeddings + ## + set.seed(4321) + torch_manual_seed(4321) + model <- ETM(k = 8, dim = 100, embeddings = 15, dropout = 0.5, vocab = colnames(dtm)) + optimizer <- optim_adam(params = model$parameters, lr = 0.005, weight_decay = 0.0000012) + overview <- model$fit(data = dtm, optimizer = optimizer, epoch = 40, batch_size = 1000) + terminology <- predict(model, type = "terms", top_n = 7) + terminology + + + + ## Don't show: + ## + ## Another example using fit_original + ## + data(ng20, package = "topicmodels.etm") + vocab <- ng20$vocab + tokens <- ng20$bow_tr$tokens + counts <- ng20$bow_tr$counts + + torch_manual_seed(123456789) + model <- ETM(k = 4, vocab = vocab, dim = 5, embeddings = 25) + model + optimizer <- optim_adam(params = model$parameters, lr = 0.005, weight_decay = 0.0000012) + + traindata <- list(tokens = tokens, counts = counts, vocab = vocab) + test1 <- list(tokens = ng20$bow_ts_h1$tokens, counts = ng20$bow_ts_h1$counts, vocab = vocab) + test2 <- list(tokens = ng20$bow_ts_h2$tokens, counts = ng20$bow_ts_h2$counts, vocab = vocab) + + out <- model$fit_original(data = traindata, test1 = test1, test2 = test2, epoch = 4, + optimizer = optimizer, batch_size = 1000, + lr_anneal_factor = 4, lr_anneal_nonmono = 10) + test <- subset(out$loss, out$loss$batch_is_last == TRUE) + plot(test$epoch, test$loss) + + topic.centers <- as.matrix(model, type = "embedding", which = "topics") + word.embeddings <- as.matrix(model, type = "embedding", which = "words") + topic.terminology <- as.matrix(model, type = "beta") + + terminology <- predict(model, type = "terms", top_n = 4) + terminology + ## End(Don't show) + + } Flavors: r-devel-windows-x86_64, r-release-windows-x86_64, r-oldrel-windows-x86_64