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Repository sklearn_pairwise_metrics

Name: sklearn_pairwise_metrics

Owner: bgruening

Synopsis: Wrapper for scikit learn tool: Evaluate pairwise distances

Detailed description:

Scikit-learn is an open source machine learning library written in python.
It provides different flavors of machine learning algorithms for classification,
regression, and clustering. It has designed to interoperate with python numerical
and scientific libraries Numpy and Scipy.

The official repository of Scikit-learn is at https://github.com/scikit-learn/scikit-learn

Content homepage: http://scikit-learn.org

Development repository: https://github.com/bgruening/galaxytools/tree/master/tools/sklearn

Link to this repository revision: https://toolshed.g2.bx.psu.edu/view/bgruening/sklearn_pairwise_metrics/f24deab884d0

Clone this repository: hg clone https://toolshed.g2.bx.psu.edu/repos/bgruening/sklearn_pairwise_metrics

Type: unrestricted

Revision: 32:f24deab884d0

This revision can be installed: True

Times cloned / installed: 1197

Contents of this repository

Name	Description	Version	Minimum Galaxy Version
Valid tools - click the name to preview the tool and use the pop-up menu to inspect all metadata
Evaluate pairwise distances View tool metadata	or compute affinity or kernel for sets of samples	1.0.8.1	16.01