Package: RcppML 0.5.6
RcppML: Rcpp Machine Learning Library
Fast machine learning algorithms including matrix factorization and divisive clustering for large sparse and dense matrices.
Authors:
RcppML_0.5.6.tar.gz
RcppML_0.5.6.zip(r-4.5)RcppML_0.5.6.zip(r-4.4)RcppML_0.5.6.zip(r-4.3)
RcppML_0.5.6.tgz(r-4.4-x86_64)RcppML_0.5.6.tgz(r-4.4-arm64)RcppML_0.5.6.tgz(r-4.3-x86_64)RcppML_0.5.6.tgz(r-4.3-arm64)
RcppML_0.5.6.tar.gz(r-4.5-noble)RcppML_0.5.6.tar.gz(r-4.4-noble)
RcppML_0.5.6.tgz(r-4.4-emscripten)RcppML_0.5.6.tgz(r-4.3-emscripten)
RcppML.pdf |RcppML.html✨
RcppML/json (API)
# Install 'RcppML' in R: |
install.packages('RcppML', repos = c('https://zdebruine.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/zdebruine/rcppml/issues
- aml - Acute Myelogenous Leukemia cells
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clusteringmatrix-factorizationnmfrcpprcppeigensparse-matrix
Last updated 1 years agofrom:5449a5b479. Checks:OK: 1 WARNING: 5 NOTE: 3. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Oct 21 2024 |
R-4.5-win-x86_64 | WARNING | Oct 21 2024 |
R-4.5-linux-x86_64 | WARNING | Oct 21 2024 |
R-4.4-win-x86_64 | WARNING | Oct 21 2024 |
R-4.4-mac-x86_64 | WARNING | Oct 21 2024 |
R-4.4-mac-aarch64 | WARNING | Oct 21 2024 |
R-4.3-win-x86_64 | NOTE | Oct 21 2024 |
R-4.3-mac-x86_64 | NOTE | Oct 21 2024 |
R-4.3-mac-aarch64 | NOTE | Oct 21 2024 |
Exports:alignbipartiteMatchbipartitionbiplotcoercecosinecrossValidatedclustevaluateheadlnmfmsenmfnnlspredictprojectr_binomr_matrixr_sampler_sparsematrixr_unifshowsimulateNMFsortsparsitysubsetsummaryt
Getting Started with NMF
Rendered fromgetting_started.Rmd
usingknitr::rmarkdown
on Oct 21 2024.Last update: 2022-08-19
Started: 2021-10-12
Learning and Annotating NMF Models
Rendered fromannotating_nmf_models.Rmd
usingknitr::rmarkdown
on Oct 21 2024.Last update: 2022-08-19
Started: 2022-08-19
Robust NMF with random initializations
Rendered fromrobust_nmf.Rmd
usingknitr::rmarkdown
on Oct 21 2024.Last update: 2022-08-19
Started: 2021-10-21