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interface to python sklearn via Rstudio reticulate

Bioconductor version: Release (3.19)

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

Author: Vince Carey [cre, aut]

Maintainer: Vince Carey <stvjc at>

Citation (from within R, enter citation("BiocSklearn")):


To install this package, start R (version "4.4") and enter:

if (!require("BiocManager", quietly = TRUE))


For older versions of R, please refer to the appropriate Bioconductor release.


To view documentation for the version of this package installed in your system, start R and enter:

BiocSklearn overview HTML R Script
Reference Manual PDF


biocViews DimensionReduction, Infrastructure, Software, StatisticalMethod
Version 1.26.0
In Bioconductor since BioC 3.6 (R-3.4) (6.5 years)
License Artistic-2.0
Depends R (>= 4.0), reticulate, methods, SummarizedExperiment
Imports basilisk
System Requirements python (>= 2.7), sklearn, numpy, pandas, h5py
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Suggests testthat, restfulSE, HDF5Array, BiocStyle, rmarkdown, knitr
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Follow Installation instructions to use this package in your R session.

Source Package BiocSklearn_1.26.0.tar.gz
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macOS Binary (x86_64) BiocSklearn_1.26.0.tgz
macOS Binary (arm64) BiocSklearn_1.26.0.tgz
Source Repository git clone
Source Repository (Developer Access) git clone
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