comparison train_test_eval.xml @ 2:e23cfe4be9d4 draft

"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 02087ce2966cf8b4aac9197a41171e7f986c11d1-dirty"

1:cc49634df38f

                <section name="metrics" title="Metrics for evaluation" expanded="false">
                    <expand macro="scoring_selection"/>
                </section>
            </when>
        </conditional>
        <expand macro="sl_mixed_input"/>
        <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.">
            <option value="nope" selected="true">Nope, save is unnecessary</option>
            <option value="save_estimator">Fitted whole estimator (excluding deep learning)</option>
            <option value="save_weights">Model skeleton and weights, for deep learning exclusively</option>
        </param>

2:e23cfe4be9d4

                <section name="metrics" title="Metrics for evaluation" expanded="false">
                    <expand macro="scoring_selection"/>
                </section>
            </when>
        </conditional>
        <expand macro="sl_mixed_input_plus_sequence"/>
        <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.">
            <option value="nope" selected="true">Nope, save is unnecessary</option>
            <option value="save_estimator">Fitted whole estimator (excluding deep learning)</option>
            <option value="save_weights">Model skeleton and weights, for deep learning exclusively</option>
        </param>