Mercurial > repos > bgruening > sklearn_discriminant_classifier
diff discriminant.xml @ 23:75bcb7c19fcf draft
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 57f4407e278a615f47a377a3328782b1d8e0b54d
author | bgruening |
---|---|
date | Sun, 30 Dec 2018 02:00:37 -0500 |
parents | 56ddc98c484e |
children | 5552eda109bd |
line wrap: on
line diff
--- a/discriminant.xml Thu Oct 11 03:36:59 2018 -0400 +++ b/discriminant.xml Sun Dec 30 02:00:37 2018 -0500 @@ -87,7 +87,7 @@ <!--expand macro="priors"/--> <param argument="reg_param" type="float" optional="true" value="0.0" label="Regularization coefficient" help="Covariance estimate regularizer."/> <expand macro="tol" default_value="0.00001" help_text="Rank estimation threshold used in SVD solver."/> - <param argument="store_covariances" type="boolean" optional="true" truevalue="booltrue" falsevalue="boolflase" checked="false" + <param argument="store_covariance" type="boolean" optional="true" truevalue="booltrue" falsevalue="boolflase" checked="false" label="Store covariances" help="Compute class covariance matrixes."/> </section> </when> @@ -106,7 +106,7 @@ <param name="selected_algorithm" value="LinearDiscriminantAnalysis"/> <param name="solver" value="svd" /> <param name="store_covariance" value="True"/> - <output name="outfile_fit" file="lda_model01" compare="sim_size" delta="500"/> + <output name="outfile_fit" file="lda_model01" compare="sim_size" delta="1"/> </test> <test> <param name="infile1" value="train.tabular" ftype="tabular"/> @@ -118,7 +118,7 @@ <param name="selected_task" value="train"/> <param name="selected_algorithm" value="LinearDiscriminantAnalysis"/> <param name="solver" value="lsqr"/> - <output name="outfile_fit" file="lda_model02" compare="sim_size" delta="500"/> + <output name="outfile_fit" file="lda_model02" compare="sim_size" delta="1"/> </test> <test> <param name="infile1" value="train.tabular" ftype="tabular"/> @@ -129,7 +129,7 @@ <param name="col2" value="5"/> <param name="selected_task" value="train"/> <param name="selected_algorithm" value="QuadraticDiscriminantAnalysis"/> - <output name="outfile_fit" file="qda_model01" compare="sim_size" delta="500"/> + <output name="outfile_fit" file="qda_model01" compare="sim_size" delta="1"/> </test> <test> <param name="infile_model" value="lda_model01" ftype="zip"/>