Mercurial > repos > bgruening > sklearn_lightgbm
diff lightgbm.xml @ 9:364234f65507 draft
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 9981e25b00de29ed881b2229a173a8c812ded9bb
author | bgruening |
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date | Wed, 09 Aug 2023 13:28:32 +0000 |
parents | c3bafda50176 |
children |
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--- a/lightgbm.xml Thu Aug 11 09:22:41 2022 +0000 +++ b/lightgbm.xml Wed Aug 09 13:28:32 2023 +0000 @@ -1,10 +1,10 @@ -<tool id="sklearn_lightgbm" name="LightGBM" version="@VERSION@" profile="20.05"> +<tool id="sklearn_lightgbm" name="LightGBM" version="@VERSION@" profile="@PROFILE@"> <description>- train and apply LightGBM models</description> <macros> <import>main_macros.xml</import> </macros> <expand macro="python_requirements"> - <requirement type="package" version="2.3.0">lightgbm</requirement> + <requirement type="package" version="3.3.5">lightgbm</requirement> </expand> <expand macro="macro_stdio" /> <version_command>echo "@VERSION@"</version_command> @@ -148,12 +148,12 @@ <param name="selected_task" value="train" /> <param name="selected_algorithm" value="LightGBMRegressor" /> <param name="objective" value="l2" /> - <param name="n_estimators" value="10000" /> + <param name="n_estimators" value="100" /> <param name="learning_rate" value="0.02" /> - <param name="max_leaf_nodes" value="32" /> + <param name="max_leaf_nodes" value="4" /> <param name="feature_fraction" value="0.9" /> <param name="subsample" value="0.9" /> - <param name="max_depth" value="8" /> + <param name="max_depth" value="4" /> <param name="lambda_l1" value="0.04" /> <param name="lambda_l2" value="0.07" /> <param name="min_gain_to_split" value="0.02" />