Mercurial > repos > immuneml > immuneml_tools
diff immuneml_train_ml_model.xml @ 6:2d3dd9ff7e84 draft
"planemo upload commit 74f2bd15d2b7723c8e5a22d743913706dc7d8333-dirty"
author | immuneml |
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date | Tue, 27 Jul 2021 09:30:50 +0000 |
parents | ed3932e6d616 |
children | 45ca02982e1f |
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--- a/immuneml_train_ml_model.xml Fri Jul 02 11:04:53 2021 +0000 +++ b/immuneml_train_ml_model.xml Tue Jul 27 09:30:50 2021 +0000 @@ -49,7 +49,7 @@ see `Train immune receptor classifiers (easy interface) <https://galaxy.immuneml.uio.no/root?tool_id=immuneml_train_classifiers>`_ and `Train immune repertoire classifiers (easy interface) <https://galaxy.immuneml.uio.no/root?tool_id=novice_immuneml_interface>`_. - For more details on how to train ML models in Galaxy, see `the documentation <https://docs.immuneml.uio.no/galaxy/galaxy_train_ml_models.html>`_. + For more details on how to train ML models in Galaxy, see `the documentation <https://docs.immuneml.uio.no/latest/galaxy/galaxy_train_ml_models.html>`_. **Tool output** @@ -63,7 +63,7 @@ Furthermore, the folder contains the complete YAML specification file for the immuneML run, the HTML output and a log file. - optimal_ml_settings.zip: a .zip file containing the raw files for the optimal trained ML settings (ML model, encoding, and - optionally preprocessing steps). This .zip file can subsequently be used as an input when `applying previously trained ML models to a new AIRR dataset in Galaxy <https://docs.immuneml.uio.no/galaxy/galaxy_apply_ml_models.html>`_. + optionally preprocessing steps). This .zip file can subsequently be used as an input when `applying previously trained ML models to a new AIRR dataset in Galaxy <https://docs.immuneml.uio.no/latest/galaxy/galaxy_apply_ml_models.html>`_. ]]>