DOC WIP for joblib

docs/links.inc

@@ -43,3 +43,4 @@
 .. _`scikit-optimize`: https://scikit-optimize.readthedocs.io/en/stable/
 .. _`Optuna`: https://optuna.org
 .. _`optuna_integration`: https://github.com/optuna/optuna-integration
+.. _`Joblib`: https://joblib.readthedocs.io/en/stable/

docs/selected_deeper_topics/index.rst

@@ -16,3 +16,4 @@ Selected deeper topics
    cross_validation_splitter.rst
    stacked_models.rst
    CBPM.rst
+   joblib.rst

docs/selected_deeper_topics/joblib.rst

@@ -0,0 +1,17 @@
+.. include:: ../links.inc
+
+
+.. _joblib_parallel:
+
+Parallelizing julearn with Joblib
+=================================
+
+As with `scikit-learn`_, ``julearn`` allows you to parallelize your code using
+`Joblib`_. This can be particularly useful when you have a large dataset or
+when you are running a computationally expensive operation that can be easily
+computed in parallel.
+
+Without going into details about parallel and distributed computing, the idea
+is to split the computation into smaller tasks that can be executed
+independently from each other. This way, you can take advantage of multiple
+*processors* to do them in parallel.