Mercurial > repos > bgruening > sklearn_train_test_eval

comparison train_test_eval.xml @ 2:e23cfe4be9d4 draft

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"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 02087ce2966cf8b4aac9197a41171e7f986c11d1-dirty"
author bgruening
date Wed, 02 Oct 2019 03:46:45 -0400
parents 68aaa903052a
children 2b8406e74f9e
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1:cc49634df38f 2:e23cfe4be9d4
74 <section name="metrics" title="Metrics for evaluation" expanded="false"> 74 <section name="metrics" title="Metrics for evaluation" expanded="false">
75 <expand macro="scoring_selection"/> 75 <expand macro="scoring_selection"/>
76 </section> 76 </section>
77 </when> 77 </when>
78 </conditional> 78 </conditional>
79 <expand macro="sl_mixed_input"/> 79 <expand macro="sl_mixed_input_plus_sequence"/>
80 <param name="save" type="select" label="Save the fitted model" help="For security reason, deep learning models will be saved into two datasets, model skeleton and weights."> 80 <param name="save" type="select" label="Save the fitted model" help="For security reason, deep learning models will be saved into two datasets, model skeleton and weights.">
81 <option value="nope" selected="true">Nope, save is unnecessary</option> 81 <option value="nope" selected="true">Nope, save is unnecessary</option>
82 <option value="save_estimator">Fitted whole estimator (excluding deep learning)</option> 82 <option value="save_estimator">Fitted whole estimator (excluding deep learning)</option>
83 <option value="save_weights">Model skeleton and weights, for deep learning exclusively</option> 83 <option value="save_weights">Model skeleton and weights, for deep learning exclusively</option>
84 </param> 84 </param>