Mercurial > repos > galaxyp > openms_rtmodel
diff RTModel.xml @ 12:0fc4aa40badb draft default tip
planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/openms commit 3d1e5f37fd16524a415f707772eeb7ead848c5e3
| author | galaxyp |
|---|---|
| date | Thu, 01 Dec 2022 19:13:44 +0000 |
| parents | 654e2bf18e82 |
| children |
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--- a/RTModel.xml Fri Nov 06 20:13:56 2020 +0000 +++ b/RTModel.xml Thu Dec 01 19:13:44 2022 +0000 @@ -1,13 +1,11 @@ <?xml version='1.0' encoding='UTF-8'?> <!--This is a configuration file for the integration of a tools into Galaxy (https://galaxyproject.org/). This file was automatically generated using CTDConverter.--> <!--Proposed Tool Section: [Peptide property prediction]--> -<tool id="RTModel" name="RTModel" version="@TOOL_VERSION@+galaxy@GALAXY_VERSION@" profile="20.05"> +<tool id="RTModel" name="RTModel" version="@TOOL_VERSION@+galaxy@VERSION_SUFFIX@" profile="21.05"> <description>Trains a model for the retention time prediction of peptides from a training set.</description> <macros> <token name="@EXECUTABLE@">RTModel</token> <import>macros.xml</import> - <import>macros_autotest.xml</import> - <import>macros_test.xml</import> </macros> <expand macro="requirements"/> <expand macro="stdio"/> @@ -84,34 +82,34 @@ <configfile name="hardcoded_json"><![CDATA[{"log": "log.txt", "threads": "\${GALAXY_SLOTS:-1}", "no_progress": true}]]></configfile> </configfiles> <inputs> - <param name="in" argument="-in" type="data" format="idxml,txt" optional="true" label="This is the name of the input file (RT prediction)" help="It is assumed that the file type is idXML. Alternatively you can provide a .txt file having a sequence and the corresponding rt per line.. select idxml,txt data sets(s)"/> - <param name="in_positive" argument="-in_positive" type="data" format="idxml" optional="true" label="input file with positive examples (peptide separation prediction)" help=" select idxml data sets(s)"/> - <param name="in_negative" argument="-in_negative" type="data" format="idxml" optional="true" label="input file with negative examples (peptide separation prediction)" help=" select idxml data sets(s)"/> - <param name="svm_type" argument="-svm_type" display="radio" type="select" optional="false" label="the type of the svm (NU_SVR or EPSILON_SVR for RT prediction, automatically set" help="to C_SVC for separation prediction). "> + <param argument="-in" type="data" format="idxml,txt" optional="true" label="This is the name of the input file (RT prediction)" help="It is assumed that the file type is idXML. Alternatively you can provide a .txt file having a sequence and the corresponding rt per line.. select idxml,txt data sets(s)"/> + <param argument="-in_positive" type="data" format="idxml" optional="true" label="input file with positive examples (peptide separation prediction)" help=" select idxml data sets(s)"/> + <param argument="-in_negative" type="data" format="idxml" optional="true" label="input file with negative examples (peptide separation prediction)" help=" select idxml data sets(s)"/> + <param argument="-svm_type" type="select" optional="true" label="the type of the svm (NU_SVR or EPSILON_SVR for RT prediction, automatically set" help="to C_SVC for separation prediction). "> <option value="NU_SVR" selected="true">NU_SVR</option> <option value="NU_SVC">NU_SVC</option> <option value="EPSILON_SVR">EPSILON_SVR</option> <option value="C_SVC">C_SVC</option> - <expand macro="list_string_san"/> + <expand macro="list_string_san" name="svm_type"/> </param> - <param name="nu" argument="-nu" type="float" optional="true" min="0.0" max="1.0" value="0.5" label="the nu parameter [0..1] of the svm (for nu-SVR)" help=""/> - <param name="p" argument="-p" type="float" optional="true" value="0.1" label="the epsilon parameter of the svm (for epsilon-SVR)" help=""/> - <param name="c" argument="-c" type="float" optional="true" value="1.0" label="the penalty parameter of the svm" help=""/> - <param name="kernel_type" argument="-kernel_type" display="radio" type="select" optional="false" label="the kernel type of the svm" help=""> + <param argument="-nu" type="float" optional="true" min="0.0" max="1.0" value="0.5" label="the nu parameter [0..1] of the svm (for nu-SVR)" help=""/> + <param argument="-p" type="float" optional="true" value="0.1" label="the epsilon parameter of the svm (for epsilon-SVR)" help=""/> + <param argument="-c" type="float" optional="true" value="1.0" label="the penalty parameter of the svm" help=""/> + <param argument="-kernel_type" type="select" optional="true" label="the kernel type of the svm" help=""> <option value="LINEAR">LINEAR</option> <option value="RBF">RBF</option> <option value="POLY">POLY</option> <option value="OLIGO" selected="true">OLIGO</option> - <expand macro="list_string_san"/> + <expand macro="list_string_san" name="kernel_type"/> </param> - <param name="degree" argument="-degree" type="integer" optional="true" min="1" value="1" label="the degree parameter of the kernel function of the svm (POLY kernel)" help=""/> - <param name="border_length" argument="-border_length" type="integer" optional="true" min="1" value="22" label="length of the POBK" help=""/> - <param name="max_std" argument="-max_std" type="float" optional="true" min="0.0" value="10.0" label="max standard deviation for a peptide to be included (if there are several ones for one peptide string)(median is taken)" help=""/> - <param name="k_mer_length" argument="-k_mer_length" type="integer" optional="true" min="1" value="1" label="k_mer length of the POBK" help=""/> - <param name="sigma" argument="-sigma" type="float" optional="true" value="5.0" label="sigma of the POBK" help=""/> - <param name="total_gradient_time" argument="-total_gradient_time" type="float" optional="true" min="1e-05" value="1.0" label="the time (in seconds) of the gradient (only for RT prediction)" help=""/> - <param name="first_dim_rt" argument="-first_dim_rt" type="boolean" truevalue="true" falsevalue="false" checked="false" label="if set the model will be built for first_dim_rt" help=""/> - <param name="additive_cv" argument="-additive_cv" type="boolean" truevalue="true" falsevalue="false" checked="false" label="if the step sizes should be interpreted additively (otherwise the actual value is multiplied" help="with the step size to get the new value"/> + <param argument="-degree" type="integer" optional="true" min="1" value="1" label="the degree parameter of the kernel function of the svm (POLY kernel)" help=""/> + <param argument="-border_length" type="integer" optional="true" min="1" value="22" label="length of the POBK" help=""/> + <param argument="-max_std" type="float" optional="true" min="0.0" value="10.0" label="max standard deviation for a peptide to be included (if there are several ones for one peptide string)(median is taken)" help=""/> + <param argument="-k_mer_length" type="integer" optional="true" min="1" value="1" label="k_mer length of the POBK" help=""/> + <param argument="-sigma" type="float" optional="true" value="5.0" label="sigma of the POBK" help=""/> + <param argument="-total_gradient_time" type="float" optional="true" min="1e-05" value="1.0" label="the time (in seconds) of the gradient (only for RT prediction)" help=""/> + <param argument="-first_dim_rt" type="boolean" truevalue="true" falsevalue="false" checked="false" label="if set the model will be built for first_dim_rt" help=""/> + <param argument="-additive_cv" type="boolean" truevalue="true" falsevalue="false" checked="false" label="if the step sizes should be interpreted additively (otherwise the actual value is multiplied" help="with the step size to get the new value"/> <section name="cv" title="Parameters for the grid search / cross validation:" help="" expanded="false"> <param name="skip_cv" argument="-cv:skip_cv" type="boolean" truevalue="true" falsevalue="false" checked="false" label="Set to enable Cross-Validation or set to true if the model should just be trained with 1 set of specified parameters" help=""/> <param name="number_of_runs" argument="-cv:number_of_runs" type="integer" optional="true" min="1" value="1" label="number of runs for the CV (each run creates a new random partition of the data)" help=""/> @@ -133,9 +131,9 @@ <param name="sigma_stop" argument="-cv:sigma_stop" type="float" optional="true" value="15.0" label="stopping point of sigma" help=""/> </section> <expand macro="adv_opts_macro"> - <param name="force" argument="-force" type="boolean" truevalue="true" falsevalue="false" checked="false" label="Overrides tool-specific checks" help=""/> - <param name="test" argument="-test" type="hidden" optional="true" value="False" label="Enables the test mode (needed for internal use only)" help=""> - <expand macro="list_string_san"/> + <param argument="-force" type="boolean" truevalue="true" falsevalue="false" checked="false" label="Overrides tool-specific checks" help=""/> + <param argument="-test" type="hidden" optional="true" value="False" label="Enables the test mode (needed for internal use only)" help=""> + <expand macro="list_string_san" name="test"/> </param> </expand> <param name="OPTIONAL_OUTPUTS" type="select" optional="true" multiple="true" label="Optional outputs"> @@ -156,13 +154,203 @@ <filter>OPTIONAL_OUTPUTS is not None and "ctd_out_FLAG" in OPTIONAL_OUTPUTS</filter> </data> </outputs> - <tests> - <expand macro="autotest_RTModel"/> - <expand macro="manutest_RTModel"/> + <tests><!-- TOPP_RTModel_1 --> + <test expect_num_outputs="2"> + <section name="adv_opts"> + <param name="force" value="false"/> + <param name="test" value="true"/> + </section> + <param name="in" value="RTModel_1_input.idXML"/> + <output name="out" file="RTModel_1_output.model" compare="sim_size" delta_frac="0.7" ftype="txt"/> + <param name="svm_type" value="NU_SVR"/> + <param name="nu" value="0.5"/> + <param name="p" value="0.1"/> + <param name="c" value="0.1"/> + <param name="kernel_type" value="POLY"/> + <param name="degree" value="1"/> + <param name="border_length" value="22"/> + <param name="max_std" value="10.0"/> + <param name="k_mer_length" value="1"/> + <param name="sigma" value="5.0"/> + <param name="total_gradient_time" value="3000.0"/> + <param name="first_dim_rt" value="false"/> + <param name="additive_cv" value="false"/> + <section name="cv"> + <param name="skip_cv" value="true"/> + <param name="number_of_runs" value="10"/> + <param name="number_of_partitions" value="10"/> + <param name="degree_start" value="1"/> + <param name="degree_step_size" value="2"/> + <param name="degree_stop" value="4"/> + <param name="p_start" value="1.0"/> + <param name="p_step_size" value="10.0"/> + <param name="p_stop" value="1000.0"/> + <param name="c_start" value="1.0"/> + <param name="c_step_size" value="10.0"/> + <param name="c_stop" value="1000.0"/> + <param name="nu_start" value="0.3"/> + <param name="nu_step_size" value="1.2"/> + <param name="nu_stop" value="0.7"/> + <param name="sigma_start" value="1.0"/> + <param name="sigma_step_size" value="1.3"/> + <param name="sigma_stop" value="15.0"/> + </section> + <param name="OPTIONAL_OUTPUTS" value="ctd_out_FLAG"/> + <output name="ctd_out" ftype="xml"> + <assert_contents> + <is_valid_xml/> + </assert_contents> + </output> + </test> + <!-- TOPP_RTModel_2 --> + <test expect_num_outputs="2"> + <section name="adv_opts"> + <param name="force" value="false"/> + <param name="test" value="true"/> + </section> + <param name="in_positive" value="RTModel_2_input_positive.idXML"/> + <param name="in_negative" value="RTModel_2_input_negative.idXML"/> + <output name="out" file="RTModel_2_output.tmp" compare="sim_size" delta_frac="0.7" ftype="txt"/> + <param name="svm_type" value="NU_SVR"/> + <param name="nu" value="0.5"/> + <param name="p" value="0.1"/> + <param name="c" value="0.5"/> + <param name="kernel_type" value="OLIGO"/> + <param name="degree" value="1"/> + <param name="border_length" value="22"/> + <param name="max_std" value="10.0"/> + <param name="k_mer_length" value="1"/> + <param name="sigma" value="5.0"/> + <param name="total_gradient_time" value="1.0"/> + <param name="first_dim_rt" value="false"/> + <param name="additive_cv" value="false"/> + <section name="cv"> + <param name="skip_cv" value="true"/> + <param name="number_of_runs" value="10"/> + <param name="number_of_partitions" value="10"/> + <param name="degree_start" value="1"/> + <param name="degree_step_size" value="2"/> + <param name="degree_stop" value="4"/> + <param name="p_start" value="1.0"/> + <param name="p_step_size" value="10.0"/> + <param name="p_stop" value="1000.0"/> + <param name="c_start" value="1.0"/> + <param name="c_step_size" value="10.0"/> + <param name="c_stop" value="1000.0"/> + <param name="nu_start" value="0.3"/> + <param name="nu_step_size" value="1.2"/> + <param name="nu_stop" value="0.7"/> + <param name="sigma_start" value="1.0"/> + <param name="sigma_step_size" value="1.3"/> + <param name="sigma_stop" value="15.0"/> + </section> + <param name="OPTIONAL_OUTPUTS" value="ctd_out_FLAG"/> + <output name="ctd_out" ftype="xml"> + <assert_contents> + <is_valid_xml/> + </assert_contents> + </output> + </test> + <!-- TOPP_RTModel_3 --> + <test expect_num_outputs="2"> + <section name="adv_opts"> + <param name="force" value="false"/> + <param name="test" value="true"/> + </section> + <param name="in" value="RTModel_3_input.idXML"/> + <output name="out" file="RTModel_3_output.tmp" compare="sim_size" delta_frac="0.7" ftype="txt"/> + <param name="svm_type" value="NU_SVR"/> + <param name="nu" value="0.5"/> + <param name="p" value="0.1"/> + <param name="c" value="0.001953125"/> + <param name="kernel_type" value="OLIGO"/> + <param name="degree" value="1"/> + <param name="border_length" value="22"/> + <param name="max_std" value="10.0"/> + <param name="k_mer_length" value="1"/> + <param name="sigma" value="1.0"/> + <param name="total_gradient_time" value="1.0"/> + <param name="first_dim_rt" value="false"/> + <param name="additive_cv" value="false"/> + <section name="cv"> + <param name="skip_cv" value="false"/> + <param name="number_of_runs" value="1"/> + <param name="number_of_partitions" value="5"/> + <param name="degree_start" value="1"/> + <param name="degree_step_size" value="2"/> + <param name="degree_stop" value="4"/> + <param name="p_start" value="1.0"/> + <param name="p_step_size" value="10.0"/> + <param name="p_stop" value="1000.0"/> + <param name="c_start" value="0.001953125"/> + <param name="c_step_size" value="2.0"/> + <param name="c_stop" value="0.001953125"/> + <param name="nu_start" value="0.4"/> + <param name="nu_step_size" value="1.2"/> + <param name="nu_stop" value="0.4"/> + <param name="sigma_start" value="5.0"/> + <param name="sigma_step_size" value="1.221055"/> + <param name="sigma_stop" value="5.0"/> + </section> + <param name="OPTIONAL_OUTPUTS" value="ctd_out_FLAG"/> + <output name="ctd_out" ftype="xml"> + <assert_contents> + <is_valid_xml/> + </assert_contents> + </output> + </test> + <!-- TOPP_RTModel_4 --> + <test expect_num_outputs="2"> + <section name="adv_opts"> + <param name="force" value="false"/> + <param name="test" value="true"/> + </section> + <param name="in" value="RTModel_4_input.txt" ftype="txt"/> + <output name="out" file="RTModel_4_output.tmp" compare="sim_size" delta_frac="0.7" ftype="txt"/> + <param name="svm_type" value="NU_SVR"/> + <param name="nu" value="0.5"/> + <param name="p" value="0.1"/> + <param name="c" value="0.001953125"/> + <param name="kernel_type" value="OLIGO"/> + <param name="degree" value="1"/> + <param name="border_length" value="22"/> + <param name="max_std" value="10.0"/> + <param name="k_mer_length" value="1"/> + <param name="sigma" value="1.0"/> + <param name="total_gradient_time" value="1.0"/> + <param name="first_dim_rt" value="false"/> + <param name="additive_cv" value="false"/> + <section name="cv"> + <param name="skip_cv" value="false"/> + <param name="number_of_runs" value="1"/> + <param name="number_of_partitions" value="5"/> + <param name="degree_start" value="1"/> + <param name="degree_step_size" value="2"/> + <param name="degree_stop" value="4"/> + <param name="p_start" value="1.0"/> + <param name="p_step_size" value="10.0"/> + <param name="p_stop" value="1000.0"/> + <param name="c_start" value="0.001953125"/> + <param name="c_step_size" value="2.0"/> + <param name="c_stop" value="0.001953125"/> + <param name="nu_start" value="0.4"/> + <param name="nu_step_size" value="1.2"/> + <param name="nu_stop" value="0.4"/> + <param name="sigma_start" value="5.0"/> + <param name="sigma_step_size" value="1.221055"/> + <param name="sigma_stop" value="5.0"/> + </section> + <param name="OPTIONAL_OUTPUTS" value="ctd_out_FLAG"/> + <output name="ctd_out" ftype="xml"> + <assert_contents> + <is_valid_xml/> + </assert_contents> + </output> + </test> </tests> <help><![CDATA[Trains a model for the retention time prediction of peptides from a training set. -For more information, visit http://www.openms.de/doxygen/release/2.6.0/html/TOPP_RTModel.html]]></help> +For more information, visit http://www.openms.de/doxygen/release/2.8.0/html/TOPP_RTModel.html]]></help> <expand macro="references"/> </tool>