Package: BiocSklearn 1.27.1

Vince Carey

BiocSklearn: interface to python sklearn via Rstudio reticulate

This package provides interfaces to selected sklearn elements, and demonstrates fault tolerant use of python modules requiring extensive iteration.

Authors:Vince Carey [cre, aut]

BiocSklearn_1.27.1.tar.gz
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BiocSklearn.pdf |BiocSklearn.html✨
BiocSklearn/json (API)

# Install 'BiocSklearn' in R:
install.packages('BiocSklearn', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

On BioConductor:BiocSklearn-1.27.1(bioc 3.20)BiocSklearn-1.26.0(bioc 3.19)

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

bioconductor-package

12 exports 1.00 score 41 dependencies

Last updated 1 months agofrom:04922fa23e

Exports:getTransformedh5matH5matrefSkDecompskIncrPartialPCAskIncrPCAskIncrPCA_h5skIncrPPCAskKMeansskPartialPCA_stepskPCAskPWD

Dependencies:abindaskpassbasiliskbasilisk.utilsBiobaseBiocGenericscrayoncurlDelayedArraydir.expiryfilelockGenomeInfoDbGenomeInfoDbDataGenomicRangesherehttrIRangesjsonlitelatticeMatrixMatrixGenericsmatrixStatsmimeopensslpngR6rappdirsRcppRcppTOMLreticulaterlangrprojrootS4ArraysS4VectorsSparseArraySummarizedExperimentsysUCSC.utilswithrXVectorzlibbioc

BiocSklearn -- exposing python Scikit machine learning elements for Bioconductor

Vincent J. Carey, stvjc at channing.harvard.edu, Shweta Gopaulakrishnan, reshg at channing.harvard.edu, Samuela Pollack, spollack at jimmy.harvard.edu

Rendered fromBiocSklearn.Rmdusingknitr::rmarkdownon Jul 02 2024.

Last update: 2024-01-27
Started: 2017-07-27