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comparison immuneml_simulate_dataset.xml @ 7:45ca02982e1f draft

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"planemo upload commit 8aef44a2b3bc8fc00a1efe0ce7ecab83eded053f-dirty"
author immuneml
date Tue, 27 Jul 2021 10:27:11 +0000
parents 2d3dd9ff7e84
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6:2d3dd9ff7e84 7:45ca02982e1f
37 - The length of the generated sequences 37 - The length of the generated sequences
38 38
39 - Labels, which can be used as a target when training ML models 39 - Labels, which can be used as a target when training ML models
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41 Note that since these labels are randomly assigned, they do not bear any meaning and it is not possible to train a ML model with high classification accuracy on this data. 41 Note that since these labels are randomly assigned, they do not bear any meaning and it is not possible to train a ML model with high classification accuracy on this data.
42 Meaningful labels can be added using the `Simulate immune events into existing repertoire/receptor dataset <https://galaxy.immuneml.uio.no/root?tool_id=immuneml_simulation>`_ Galaxy tool. 42 Meaningful labels can be added using the `Simulate immune events into existing repertoire/receptor dataset <root?tool_id=immuneml_simulation>`_ Galaxy tool.
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44 For the exhaustive documentation of this tool and an example YAML specification, see the tutorial `How to simulate an AIRR dataset in Galaxy <https://docs.immuneml.uio.no/latest/galaxy/galaxy_simulate_dataset.html>`_. 44 For the exhaustive documentation of this tool and an example YAML specification, see the tutorial `How to simulate an AIRR dataset in Galaxy <https://docs.immuneml.uio.no/latest/galaxy/galaxy_simulate_dataset.html>`_.
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46 **Tool output** 46 **Tool output**
47 47