Mercurial > repos > immuneml > immuneml_tools
comparison 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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47 | 47 |
48 This is a YAML-based Galaxy tool, if you prefer a button-based interface that assumes less ML knowledge, | 48 This is a YAML-based Galaxy tool, if you prefer a button-based interface that assumes less ML knowledge, |
49 see `Train immune receptor classifiers (easy interface) <https://galaxy.immuneml.uio.no/root?tool_id=immuneml_train_classifiers>`_ and | 49 see `Train immune receptor classifiers (easy interface) <https://galaxy.immuneml.uio.no/root?tool_id=immuneml_train_classifiers>`_ and |
50 `Train immune repertoire classifiers (easy interface) <https://galaxy.immuneml.uio.no/root?tool_id=novice_immuneml_interface>`_. | 50 `Train immune repertoire classifiers (easy interface) <https://galaxy.immuneml.uio.no/root?tool_id=novice_immuneml_interface>`_. |
51 | 51 |
52 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>`_. | 52 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>`_. |
53 | 53 |
54 **Tool output** | 54 **Tool output** |
55 | 55 |
56 This Galaxy tool will produce the following history elements: | 56 This Galaxy tool will produce the following history elements: |
57 | 57 |
61 - Archive: ML model training: a .zip file containing the complete output folder as it was produced by immuneML. This folder | 61 - Archive: ML model training: a .zip file containing the complete output folder as it was produced by immuneML. This folder |
62 contains the output of the TrainMLModel instruction including all trained models and their predictions, and report results. | 62 contains the output of the TrainMLModel instruction including all trained models and their predictions, and report results. |
63 Furthermore, the folder contains the complete YAML specification file for the immuneML run, the HTML output and a log file. | 63 Furthermore, the folder contains the complete YAML specification file for the immuneML run, the HTML output and a log file. |
64 | 64 |
65 - optimal_ml_settings.zip: a .zip file containing the raw files for the optimal trained ML settings (ML model, encoding, and | 65 - optimal_ml_settings.zip: a .zip file containing the raw files for the optimal trained ML settings (ML model, encoding, and |
66 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>`_. | 66 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>`_. |
67 | 67 |
68 ]]> | 68 ]]> |
69 | 69 |
70 </help> | 70 </help> |
71 | 71 |