comparison immuneml_train_ml_model.xml @ 6:2d3dd9ff7e84 draft

"planemo upload commit 74f2bd15d2b7723c8e5a22d743913706dc7d8333-dirty"

5:48569213d91c

      This is a YAML-based Galaxy tool, if you prefer a button-based interface that assumes less ML knowledge,
      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>`_.

      **Tool output**

      This Galaxy tool will produce the following history elements:

      - Archive: ML model training: a .zip file containing the complete output folder as it was produced by immuneML. This folder
        contains the output of the TrainMLModel instruction including all trained models and their predictions, and report results.
        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>`_.

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  </help>

6:2d3dd9ff7e84

      This is a YAML-based Galaxy tool, if you prefer a button-based interface that assumes less ML knowledge,
      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/latest/galaxy/galaxy_train_ml_models.html>`_.

      **Tool output**

      This Galaxy tool will produce the following history elements:

      - Archive: ML model training: a .zip file containing the complete output folder as it was produced by immuneML. This folder
        contains the output of the TrainMLModel instruction including all trained models and their predictions, and report results.
        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/latest/galaxy/galaxy_apply_ml_models.html>`_.

    ]]>

  </help>