Mercurial > repos > bgruening > sklearn_numeric_clustering
diff numeric_clustering.xml @ 6:4edccd1eaaf0 draft
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
author | bgruening |
---|---|
date | Fri, 16 Feb 2018 09:13:42 -0500 |
parents | 4fcf8b052fed |
children | 8a7b460ab534 |
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--- a/numeric_clustering.xml Thu Jun 23 15:27:13 2016 -0400 +++ b/numeric_clustering.xml Fri Feb 16 09:13:42 2018 -0500 @@ -116,7 +116,7 @@ <param argument="damping" type="float" optional="true" value="0.5" label="Damping factor" help="Damping factor between 0.5 and 1."/> <expand macro="max_iter" default_value="200"/> <param argument="convergence_iter" type="integer" optional="true" value="15" label="Number of iterations at each convergence step" help="Number of iterations with no change in the number of estimated clusters that stops the convergence."/> - <param argument="copy" type="boolean" optional="true" truevalue="booltrue" falsevalue="boolflase" checked="true" label="Copy" help="If False, the affinity matrix is modified inplace by the algorithm, for memory efficiency."/> + <param argument="copy" type="boolean" optional="true" truevalue="booltrue" falsevalue="boolflase" checked="true" label="Copy" help="If False, the affinity matrix is modified inplace by the algorithm, for memory efficiency."/> <!--param argument="preference"/--> <param argument="affinity" type="select" label="Affinity" help="Affinity to use; euclidean uses the negative squared euclidean distance between points."> <option value="euclidean">Euclidean</option> @@ -285,7 +285,7 @@ <param name="n_clusters" value="4"/> <param name="assign_labels" value="discretize"/> <param name="random_state" value="100"/> - <output name="outfile" file="empty_file.txt" compare="contains"/> + <output name="outfile" file="cluster_result12" compare="sim_size" /> </test> <test> <param name="infile" value="numeric_values.tabular" ftype="tabular"/> @@ -296,7 +296,7 @@ <param name="assign_labels" value="discretize"/> <param name="random_state" value="100"/> <param name="degree" value="2"/> - <output name="outfile" file="empty_file.txt" compare="contains"/> + <output name="outfile" file="cluster_result13.txt" compare="sim_size" /> </test> <test> <param name="infile" value="numeric_values.tabular" ftype="tabular"/>