diff immuneml_train_ml_model.xml @ 7:45ca02982e1f draft

"planemo upload commit 8aef44a2b3bc8fc00a1efe0ce7ecab83eded053f-dirty"
author immuneml
date Tue, 27 Jul 2021 10:27:11 +0000
parents 2d3dd9ff7e84
children e33b3d370124
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--- a/immuneml_train_ml_model.xml	Tue Jul 27 09:30:50 2021 +0000
+++ b/immuneml_train_ml_model.xml	Tue Jul 27 10:27:11 2021 +0000
@@ -46,8 +46,8 @@
       which include ML models and their parameters, encodings and preprocessing steps. Nested cross-validation is used to identify the optimal combination of ML settings.
 
       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>`_.
+      see `Train immune receptor classifiers (easy interface) <root?tool_id=immuneml_train_classifiers>`_ and
+      `Train immune repertoire classifiers (easy interface) <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>`_.