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diff --git a/docs/auto_functions.rst b/docs/auto_functions.rst
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@@ -1,9 +1,52 @@
-.. py:function:: load_default_grid()
+.. py:function:: load_grid_tiny()
:noindex:
:module: gensvm.gridsearch
- Load the default parameter grid for GenSVM
+ Load a tiny parameter grid for the GenSVM grid search
+
+ This function returns a parameter grid to use in the GenSVM grid search.
+ This grid was obtained by analyzing the experiments done for the GenSVM
+ paper and selecting the configurations that achieve accuracy within the
+ 95th percentile on over 90% of the datasets. It is a good start for a
+ parameter search with a reasonably high chance of achieving good
+ performance on most datasets.
+
+ Note that this grid is only tested to work well in combination with the
+ linear kernel.
+
+ :returns: **pg** -- List of 10 parameter configurations that are likely to perform
+ reasonably well.
+ :rtype: list
+
+
+.. py:function:: load_grid_small()
+ :noindex:
+ :module: gensvm.gridsearch
+
+ Load a small parameter grid for GenSVM
+
+ This function loads a default parameter grid to use for the #' GenSVM
+ gridsearch. It contains all possible combinations of the following #'
+ parameter sets::
+
+ pg = {
+ 'p': [1.0, 1.5, 2.0],
+ 'lmd': [1e-8, 1e-6, 1e-4, 1e-2, 1],
+ 'kappa': [-0.9, 0.5, 5.0],
+ 'weights': ['unit', 'group'],
+ }
+
+ :returns: **pg** -- Mapping from parameters to lists of values for those parameters. To be
+ used as input for the :class:`.GenSVMGridSearchCV` class.
+ :rtype: dict
+
+
+.. py:function:: load_grid_full()
+ :noindex:
+ :module: gensvm.gridsearch
+
+ Load the full parameter grid for GenSVM
This is the parameter grid used in the GenSVM paper to run the grid search
experiments. It uses a large grid for the ``lmd`` regularization parameter