BiocSklearn

DOI: 10.18129/B9.bioc.BiocSklearn    

interface to python sklearn via Rstudio reticulate

Bioconductor version: Release (3.8)

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

Author: Vince Carey

Maintainer: VJ Carey <stvjc at channing.harvard.edu>

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

Installation

To install this package, start R (version "3.5") and enter:

if (!requireNamespace("BiocManager", quietly = TRUE))
    install.packages("BiocManager")
BiocManager::install("BiocSklearn", version = "3.8")

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")

 

PDF R Script BiocSklearn overview
PDF   Reference Manual

Details

biocViews DimensionReduction, Infrastructure, Software, StatisticalMethod
Version 1.4.0
License Artistic-2.0
Depends R (>= 3.5.0), reticulate, methods, SummarizedExperiment, knitr
Imports BBmisc
LinkingTo
Suggests testthat, restfulSE, HDF5Array
SystemRequirements python (>= 2.7), sklearn, numpy, pandas, h5py
Enhances
URL
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report  

Package Archives

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

Source Package BiocSklearn_1.4.0.tar.gz
Windows Binary BiocSklearn_1.4.0.zip
Mac OS X 10.11 (El Capitan) BiocSklearn_1.4.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/BiocSklearn
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/BiocSklearn
Package Short Url http://bioconductor.org/packages/BiocSklearn/
Package Downloads Report Download Stats

Documentation »

Bioconductor

R / CRAN packages and documentation

Support »

Please read the posting guide. Post questions about Bioconductor to one of the following locations: