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Repository sklearn_fitted_model_eval
Name: sklearn_fitted_model_eval
Owner: bgruening
Synopsis: Wrapper for scikit learn tool: Evaluate a Fitted Model
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: https://toolshed.g2.bx.psu.edu/view/bgruening/sklearn_fitted_model_eval/22e73afd5206
Clone this repository: hg clone https://toolshed.g2.bx.psu.edu/repos/bgruening/sklearn_fitted_model_eval
Type: unrestricted
Revision: 18:22e73afd5206
This revision can be installed: True
Times cloned / installed: 925

Contents of this repository

Valid tools - click the name to preview the tool and use the pop-up menu to inspect all metadata
Name Description Version Minimum Galaxy Version
using a new batch of labeled data 1.0.11.0 21.05

Categories
Machine Learning - Tools for machine learning
Statistics - Tools for generating statistics