Mercurial > repos > q2d2 > qiime2__sample_classifier__summarize

<?xml version='1.0' encoding='utf-8'?>
<!--
Copyright (c) 2024, QIIME 2 development team.

Distributed under the terms of the Modified BSD License. (SPDX: BSD-3-Clause)
-->
<!--
This tool was automatically generated by:
    q2galaxy (version: 2024.2.1)
for:
    qiime2 (version: 2024.2.0)
-->
<tool name="qiime2 sample-classifier summarize" id="qiime2__sample_classifier__summarize" version="2024.2.0+q2galaxy.2024.2.1" profile="22.05" license="BSD-3-Clause">
    <description>Summarize parameter and feature extraction information for a trained estimator.</description>
    <requirements>
        <container type="docker">quay.io/qiime2/amplicon:2024.2</container>
    </requirements>
    <version_command>q2galaxy version sample_classifier</version_command>
    <command detect_errors="exit_code">q2galaxy run sample_classifier summarize '$inputs'</command>
    <configfiles>
        <inputs name="inputs" data_style="staging_path_and_source_path"/>
    </configfiles>
    <inputs>
        <param name="sample_estimator" type="data" format="qza" label="sample_estimator: SampleEstimator[Classifier | Regressor]" help="[required]  Sample estimator trained with fit_classifier or fit_regressor.">
            <options options_filter_attribute="metadata.semantic_type">
                <filter type="add_value" value="SampleEstimator[Classifier]"/>
                <filter type="add_value" value="SampleEstimator[Regressor]"/>
            </options>
            <validator type="expression" message="Incompatible type">hasattr(value.metadata, "semantic_type") and value.metadata.semantic_type in ['SampleEstimator[Classifier]', 'SampleEstimator[Regressor]']</validator>
        </param>
    </inputs>
    <outputs>
        <data name="visualization" format="qzv" label="${tool.name} on ${on_string}: visualization.qzv" from_work_dir="visualization.qzv"/>
    </outputs>
    <tests/>
    <help>
QIIME 2: sample-classifier summarize
====================================
Summarize parameter and feature extraction information for a trained estimator.


Outputs:
--------
:visualization.qzv: &lt;no description&gt;

|

Description:
------------
Summarize parameter and feature extraction information for a trained estimator.


|

</help>
    <citations>
        <citation type="doi">10.21105/joss.00934</citation>
        <citation type="bibtex">@article{cite2,
 author = {Pedregosa, Fabian and Varoquaux, Gaël and Gramfort, Alexandre and Michel, Vincent and Thirion, Bertrand and Grisel, Olivier and Blondel, Mathieu and Prettenhofer, Peter and Weiss, Ron and Dubourg, Vincent and Vanderplas, Jake and Passos, Alexandre and Cournapeau, David and Brucher, Matthieu and Perrot, Matthieu and Duchesnay, Édouard},
 journal = {Journal of machine learning research},
 number = {Oct},
 pages = {2825--2830},
 title = {Scikit-learn: Machine learning in Python},
 volume = {12},
 year = {2011}
}
</citation>
        <citation type="doi">10.1038/s41587-019-0209-9</citation>
    </citations>
</tool>
author	q2d2
date	Thu, 25 Apr 2024 21:26:37 +0000
parents	d2cd82660ab6
children