Mercurial > repos > q2d2 > qiime2__longitudinal__feature_volatility
changeset 3:956dbe6f39bd draft
planemo upload for repository https://github.com/qiime2/galaxy-tools/tree/main/tools/suite_qiime2__longitudinal commit 389df0134cd0763dcf02aac6e623fc15f8861c1e
author | q2d2 |
---|---|
date | Thu, 25 Apr 2024 21:15:10 +0000 |
parents | ba818c170b06 |
children | e1f34a303e1c |
files | qiime2__longitudinal__feature_volatility.xml |
diffstat | 1 files changed, 6 insertions(+), 7 deletions(-) [+] |
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--- a/qiime2__longitudinal__feature_volatility.xml Thu Jun 08 19:49:02 2023 +0000 +++ b/qiime2__longitudinal__feature_volatility.xml Thu Apr 25 21:15:10 2024 +0000 @@ -1,24 +1,24 @@ <?xml version='1.0' encoding='utf-8'?> <!-- -Copyright (c) 2023, QIIME 2 development team. +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: 2023.5.0) + q2galaxy (version: 2024.2.1) for: - qiime2 (version: 2023.5.1) + qiime2 (version: 2024.2.0) --> -<tool name="qiime2 longitudinal feature-volatility" id="qiime2__longitudinal__feature_volatility" version="2023.5.0+q2galaxy.2023.5.0.2" profile="22.05" license="BSD-3-Clause"> +<tool name="qiime2 longitudinal feature-volatility" id="qiime2__longitudinal__feature_volatility" version="2024.2.0+q2galaxy.2024.2.1" profile="22.05" license="BSD-3-Clause"> <description>Feature volatility analysis</description> <requirements> - <container type="docker">quay.io/qiime2/core:2023.5</container> + <container type="docker">quay.io/qiime2/amplicon:2024.2</container> </requirements> <version_command>q2galaxy version longitudinal</version_command> <command detect_errors="exit_code">q2galaxy run longitudinal feature_volatility '$inputs'</command> <configfiles> - <inputs name="inputs" data_style="paths"/> + <inputs name="inputs" data_style="staging_path_and_source_path"/> </configfiles> <inputs> <param name="table" type="data" format="qza" label="table: FeatureTable[Frequency]" help="[required] Feature table containing all features that should be used for target prediction."> @@ -66,7 +66,6 @@ </conditional> <param name="cv" type="integer" min="1" value="5" label="cv: Int % Range(1, None)" help="[default: 5] Number of k-fold cross-validations to perform."/> <param name="random_state" type="integer" optional="true" label="random_state: Int" help="[optional] Seed used by random number generator."/> - <param name="n_jobs" type="integer" value="1" label="n_jobs: Int" help="[default: 1] Number of jobs to run in parallel."/> <param name="n_estimators" type="integer" min="1" value="100" label="n_estimators: Int % Range(1, None)" help="[default: 100] Number of trees to grow for estimation. More trees will improve predictive accuracy up to a threshold level, but will also increase time and memory requirements. This parameter only affects ensemble estimators, such as Random Forest, AdaBoost, ExtraTrees, and GradientBoosting."/> <param name="estimator" type="select" label="estimator: Str % Choices('RandomForestRegressor', 'ExtraTreesRegressor', 'GradientBoostingRegressor', 'AdaBoostRegressor', 'ElasticNet', 'Ridge', 'Lasso', 'KNeighborsRegressor', 'LinearSVR', 'SVR')"> <option value="RandomForestRegressor" selected="true">RandomForestRegressor</option>