annotate qiime2__feature_classifier__classify_sklearn.xml @ 5:771d8be25d7a draft default tip

planemo upload for repository https://github.com/qiime2/galaxy-tools/tree/main/tools/suite_qiime2__feature_classifier commit 5f71b597c9495eae67a447744fded834f56ca1f7
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date Wed, 30 Oct 2024 19:47:20 +0000
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1 <?xml version='1.0' encoding='utf-8'?>
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2 <!--
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3 Copyright (c) 2024, QIIME 2 development team.
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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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7 <!--
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8 This tool was automatically generated by:
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9 q2galaxy (version: 2024.10.0)
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10 for:
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11 qiime2 (version: 2024.10.1)
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12 -->
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13 <tool name="qiime2 feature-classifier classify-sklearn" id="qiime2__feature_classifier__classify_sklearn" version="2024.10.0+q2galaxy.2024.10.0" profile="22.05" license="BSD-3-Clause">
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14 <description>Pre-fitted sklearn-based taxonomy classifier</description>
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15 <xrefs>
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16 <xref type="bio.tools">qiime2</xref>
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17 </xrefs>
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18 <requirements>
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19 <container type="docker">quay.io/qiime2/amplicon:2024.10</container>
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20 </requirements>
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21 <version_command>q2galaxy version feature_classifier</version_command>
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22 <command detect_errors="exit_code">q2galaxy run feature_classifier classify_sklearn '$inputs'</command>
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23 <configfiles>
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24 <inputs name="inputs" data_style="staging_path_and_source_path"/>
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25 </configfiles>
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26 <inputs>
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27 <param name="reads" type="data" format="qza" label="reads: FeatureData[Sequence]" help="[required] The feature data to be classified.">
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28 <options options_filter_attribute="metadata.semantic_type">
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29 <filter type="add_value" value="FeatureData[Sequence]"/>
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30 </options>
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31 <validator type="expression" message="Incompatible type">hasattr(value.metadata, "semantic_type") and value.metadata.semantic_type in ['FeatureData[Sequence]']</validator>
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32 </param>
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33 <param name="classifier" type="data" format="qza" label="classifier: TaxonomicClassifier" help="[required] The taxonomic classifier for classifying the reads.">
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34 <options options_filter_attribute="metadata.semantic_type">
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35 <filter type="add_value" value="TaxonomicClassifier"/>
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36 </options>
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37 <validator type="expression" message="Incompatible type">hasattr(value.metadata, "semantic_type") and value.metadata.semantic_type in ['TaxonomicClassifier']</validator>
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38 </param>
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39 <section name="__q2galaxy__GUI__section__extra_opts__" title="Click here for additional options">
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40 <conditional name="__q2galaxy__GUI__conditional__reads_per_batch__">
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41 <param name="__q2galaxy__GUI__select__" type="select" label="reads_per_batch: Int % Range(1, None) | Str % Choices('auto')" help="[default: 'auto'] Number of reads to process in each batch. If &quot;auto&quot;, this parameter is autoscaled to min( number of query sequences / n_jobs, 20000).">
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42 <option value="auto" selected="true">auto (Str)</option>
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43 <option value="__q2galaxy__::control::Int X Range(1__comma__ None)">Provide a value (Int % Range(1, None))</option>
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44 </param>
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45 <when value="auto">
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46 <param name="reads_per_batch" type="hidden" value="auto"/>
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47 </when>
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48 <when value="__q2galaxy__::control::Int X Range(1__comma__ None)">
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49 <param name="reads_per_batch" type="integer" min="1" value="" label="reads_per_batch: Int % Range(1, None)" help="[required] Number of reads to process in each batch. If &quot;auto&quot;, this parameter is autoscaled to min( number of query sequences / n_jobs, 20000)."/>
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50 </when>
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51 </conditional>
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52 <param name="pre_dispatch" type="text" value="2*n_jobs" label="pre_dispatch: Str" help="[default: '2*n_jobs'] &quot;all&quot; or expression, as in &quot;3*n_jobs&quot;. The number of batches (of tasks) to be pre-dispatched.">
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53 <sanitizer>
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54 <valid initial="string.printable"/>
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55 </sanitizer>
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56 </param>
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57 <conditional name="__q2galaxy__GUI__conditional__confidence__">
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58 <param name="__q2galaxy__GUI__select__" type="select" label="confidence: Float % Range(0, 1, inclusive_end=True) | Str % Choices('disable')" help="[default: 0.7] Confidence threshold for limiting taxonomic depth. Set to &quot;disable&quot; to disable confidence calculation, or 0 to calculate confidence but not apply it to limit the taxonomic depth of the assignments.">
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59 <option value="disable">disable (Str)</option>
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60 <option value="__q2galaxy__::control::Float X Range(0__comma__ 1__comma__ inclusive_end=True)" selected="true">Provide a value (Float % Range(0, 1, inclusive_end=True))</option>
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61 </param>
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62 <when value="disable">
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63 <param name="confidence" type="hidden" value="disable"/>
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64 </when>
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65 <when value="__q2galaxy__::control::Float X Range(0__comma__ 1__comma__ inclusive_end=True)">
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66 <param name="confidence" type="float" min="0" max="1" value="0.7" label="confidence: Float % Range(0, 1, inclusive_end=True)" help="[default: 0.7] Confidence threshold for limiting taxonomic depth. Set to &quot;disable&quot; to disable confidence calculation, or 0 to calculate confidence but not apply it to limit the taxonomic depth of the assignments."/>
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67 </when>
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68 </conditional>
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69 <param name="read_orientation" type="select" label="read_orientation: Str % Choices('same', 'reverse-complement', 'auto')" display="radio">
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70 <option value="same">same</option>
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71 <option value="reverse-complement">reverse-complement</option>
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72 <option value="auto" selected="true">auto</option>
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73 </param>
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74 </section>
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75 </inputs>
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76 <outputs>
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77 <data name="classification" format="qza" label="${tool.name} on ${on_string}: classification.qza" from_work_dir="classification.qza"/>
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78 </outputs>
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79 <tests/>
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80 <help>
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81 QIIME 2: feature-classifier classify-sklearn
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82 ============================================
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83 Pre-fitted sklearn-based taxonomy classifier
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84
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85
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86 Outputs:
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87 --------
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88 :classification.qza: &lt;no description&gt;
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89
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90 |
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91
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92 Description:
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93 ------------
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94 Classify reads by taxon using a fitted classifier.
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95
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96
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97 |
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98
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99 </help>
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100 <citations>
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101 <citation type="bibtex">@article{cite1,
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102 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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103 journal = {Journal of machine learning research},
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104 number = {Oct},
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105 pages = {2825--2830},
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106 title = {Scikit-learn: Machine learning in Python},
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107 volume = {12},
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108 year = {2011}
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109 }
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110 </citation>
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111 <citation type="doi">10.1186/s40168-018-0470-z</citation>
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112 <citation type="doi">10.1038/s41587-019-0209-9</citation>
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113 </citations>
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114 </tool>