Mercurial > repos > q2d2 > qiime2__sample_classifier__summarize
annotate qiime2__sample_classifier__summarize.xml @ 4:10191f1db325 draft
planemo upload for repository https://github.com/qiime2/galaxy-tools/tree/main/tools/suite_qiime2__sample_classifier commit c7e80dcda727ce63b42aa8a946e9330310929797
author | q2d2 |
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date | Mon, 03 Jun 2024 23:31:41 +0000 |
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planemo upload for repository https://github.com/qiime2/galaxy-tools/tree/main/tools/suite_qiime2__sample_classifier commit 9023cfd83495a517fbcbb6f91d5b01a6f1afcda1
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1 <?xml version='1.0' encoding='utf-8'?> |
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planemo upload for repository https://github.com/qiime2/galaxy-tools/tree/main/tools/suite_qiime2__sample_classifier commit 9023cfd83495a517fbcbb6f91d5b01a6f1afcda1
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2 <!-- |
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3 Copyright (c) 2024, QIIME 2 development team. |
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4 |
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planemo upload for repository https://github.com/qiime2/galaxy-tools/tree/main/tools/suite_qiime2__sample_classifier commit 9023cfd83495a517fbcbb6f91d5b01a6f1afcda1
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5 Distributed under the terms of the Modified BSD License. (SPDX: BSD-3-Clause) |
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6 --> |
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planemo upload for repository https://github.com/qiime2/galaxy-tools/tree/main/tools/suite_qiime2__sample_classifier commit 9023cfd83495a517fbcbb6f91d5b01a6f1afcda1
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7 <!-- |
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planemo upload for repository https://github.com/qiime2/galaxy-tools/tree/main/tools/suite_qiime2__sample_classifier commit 9023cfd83495a517fbcbb6f91d5b01a6f1afcda1
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8 This tool was automatically generated by: |
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planemo upload for repository https://github.com/qiime2/galaxy-tools/tree/main/tools/suite_qiime2__sample_classifier commit c7e80dcda727ce63b42aa8a946e9330310929797
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9 q2galaxy (version: 2024.5.0) |
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10 for: |
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planemo upload for repository https://github.com/qiime2/galaxy-tools/tree/main/tools/suite_qiime2__sample_classifier commit c7e80dcda727ce63b42aa8a946e9330310929797
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11 qiime2 (version: 2024.5.0) |
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12 --> |
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13 <tool name="qiime2 sample-classifier summarize" id="qiime2__sample_classifier__summarize" version="2024.5.0+q2galaxy.2024.5.0" profile="22.05" license="BSD-3-Clause"> |
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14 <description>Summarize parameter and feature extraction information for a trained estimator.</description> |
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15 <requirements> |
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16 <container type="docker">quay.io/qiime2/amplicon:2024.5</container> |
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17 </requirements> |
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18 <version_command>q2galaxy version sample_classifier</version_command> |
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19 <command detect_errors="exit_code">q2galaxy run sample_classifier summarize '$inputs'</command> |
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20 <configfiles> |
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21 <inputs name="inputs" data_style="staging_path_and_source_path"/> |
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22 </configfiles> |
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23 <inputs> |
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24 <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."> |
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planemo upload for repository https://github.com/qiime2/galaxy-tools/tree/main/tools/suite_qiime2__sample_classifier commit 9023cfd83495a517fbcbb6f91d5b01a6f1afcda1
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25 <options options_filter_attribute="metadata.semantic_type"> |
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planemo upload for repository https://github.com/qiime2/galaxy-tools/tree/main/tools/suite_qiime2__sample_classifier commit c7e80dcda727ce63b42aa8a946e9330310929797
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26 <filter type="add_value" value="SampleEstimator[Regressor]"/> |
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27 <filter type="add_value" value="SampleEstimator[Classifier]"/> |
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28 </options> |
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29 <validator type="expression" message="Incompatible type">hasattr(value.metadata, "semantic_type") and value.metadata.semantic_type in ['SampleEstimator[Classifier]', 'SampleEstimator[Regressor]']</validator> |
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30 </param> |
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31 </inputs> |
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32 <outputs> |
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33 <data name="visualization" format="qzv" label="${tool.name} on ${on_string}: visualization.qzv" from_work_dir="visualization.qzv"/> |
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34 </outputs> |
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35 <tests/> |
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36 <help> |
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37 QIIME 2: sample-classifier summarize |
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38 ==================================== |
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39 Summarize parameter and feature extraction information for a trained estimator. |
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40 |
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41 |
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42 Outputs: |
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43 -------- |
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44 :visualization.qzv: <no description> |
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45 |
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46 | |
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47 |
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48 Description: |
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49 ------------ |
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50 Summarize parameter and feature extraction information for a trained estimator. |
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51 |
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52 |
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53 | |
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54 |
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55 </help> |
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56 <citations> |
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57 <citation type="doi">10.21105/joss.00934</citation> |
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58 <citation type="bibtex">@article{cite2, |
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59 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}, |
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60 journal = {Journal of machine learning research}, |
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61 number = {Oct}, |
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62 pages = {2825--2830}, |
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63 title = {Scikit-learn: Machine learning in Python}, |
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64 volume = {12}, |
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65 year = {2011} |
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66 } |
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67 </citation> |
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68 <citation type="doi">10.1038/s41587-019-0209-9</citation> |
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69 </citations> |
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70 </tool> |