comparison discriminant.xml @ 23:75bcb7c19fcf draft

planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 57f4407e278a615f47a377a3328782b1d8e0b54d

22:686d0c3e3b62

                <expand macro="sl_mixed_input"/>
                <section name="options" title="Advanced Options" expanded="False">
                    <!--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"
                        label="Store covariances" help="Compute class covariance matrixes."/>
                </section>
            </when>
        </expand>
    </inputs>

            <param name="col2" value="5"/>
            <param name="selected_task" value="train"/>
            <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"/>
        </test>
        <test>
            <param name="infile1" value="train.tabular" ftype="tabular"/>
            <param name="infile2" value="train.tabular" ftype="tabular"/>
            <param name="header1" value="True"/>

            <param name="col1" value="1,2,3,4"/>
            <param name="col2" value="5"/>
            <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"/>
        </test>
        <test>
            <param name="infile1" value="train.tabular" ftype="tabular"/>
            <param name="infile2" value="train.tabular" ftype="tabular"/>
            <param name="header1" value="True"/>
            <param name="header2" value="True"/>
            <param name="col1" value="1,2,3,4"/>
            <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"/>
        </test>
        <test>
            <param name="infile_model" value="lda_model01" ftype="zip"/>
            <param name="infile_data" value="test.tabular" ftype="tabular"/>
            <param name="header" value="True"/>

23:75bcb7c19fcf

                <expand macro="sl_mixed_input"/>
                <section name="options" title="Advanced Options" expanded="False">
                    <!--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_covariance" type="boolean" optional="true" truevalue="booltrue" falsevalue="boolflase" checked="false"
                        label="Store covariances" help="Compute class covariance matrixes."/>
                </section>
            </when>
        </expand>
    </inputs>

            <param name="col2" value="5"/>
            <param name="selected_task" value="train"/>
            <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="1"/>
        </test>
        <test>
            <param name="infile1" value="train.tabular" ftype="tabular"/>
            <param name="infile2" value="train.tabular" ftype="tabular"/>
            <param name="header1" value="True"/>

            <param name="col1" value="1,2,3,4"/>
            <param name="col2" value="5"/>
            <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="1"/>
        </test>
        <test>
            <param name="infile1" value="train.tabular" ftype="tabular"/>
            <param name="infile2" value="train.tabular" ftype="tabular"/>
            <param name="header1" value="True"/>
            <param name="header2" value="True"/>
            <param name="col1" value="1,2,3,4"/>
            <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="1"/>
        </test>
        <test>
            <param name="infile_model" value="lda_model01" ftype="zip"/>
            <param name="infile_data" value="test.tabular" ftype="tabular"/>
            <param name="header" value="True"/>