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BiocSklearn

This is the development version of BiocSklearn; for the stable release version, see BiocSklearn.

All versions 3.24 (devel), 3.23 (release), 3.22, 3.21, 3.20, 3.19, 3.18, 3.17, 3.16, 3.15, 3.14, 3.13, 3.12, 3.11, 3.10, 3.9, 3.8, 3.7, 3.6

interface to python sklearn via Rstudio reticulate


Bioconductor version: Development (3.24)

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 channing.harvard.edu>

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

Vince Carey. BiocSklearn: interface to python sklearn via Rstudio reticulate. doi:10.18129/B9.bioc.BiocSklearn, R package version 1.35.0, https://bioconductor.org/packages/BiocSklearn.

Generated from the package metadata; it may differ from the package's own citation.

Installation

To install this package, start R (version "4.6") and enter:

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

## The following initializes the development version of Bioconductor
BiocManager::install(version = "devel")

BiocManager::install("BiocSklearn")

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

Documentation

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

browseVignettes("BiocSklearn")
BiocSklearn overview HTML R Script
Reference ManualPDF
NEWSText

Details

biocViews DimensionReduction, Infrastructure, Software, StatisticalMethod
Version1.35.0
In Bioconductor sinceBioC 3.6 (R-3.4) (9 years)
License Artistic-2.0
Depends R (>= 4.0), reticulate, methods, SummarizedExperiment
Imports basilisk
System Requirementspython (>= 2.7), sklearn, numpy, pandas, h5py
URL
See More
Suggests testthat, HDF5Array, BiocStyle, rmarkdown, knitr
Linking To
Enhances
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report Build Report, r-universe

Package Archives

Follow Installation instructions to use this package in your R session.

Source Package BiocSklearn_1.35.0.tar.gz
Windows Binary (x86_64) BiocSklearn_1.35.0.zip
macOS Binary (big-sur-x86_64) BiocSklearn_1.35.0.tgz
macOS Binary (sonoma-arm64) BiocSklearn_1.35.0.tgz
Source Repositorygit clone https://git.bioconductor.org/packages/BiocSklearn
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/BiocSklearn
Package Short Url https://bioconductor.org/packages/BiocSklearn/
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