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.. py:function:: load_grid_tiny()
:noindex:
:module: gensvm.gridsearch
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
and converges with a stopping criterion of ``1e-8``. This is a relatively
small stopping criterion and in practice good classification results can be
obtained by using a larger stopping criterion.
The function returns the following grid::
pg = {
'lmd': [pow(2, x) for x in range(-18, 19, 2)],
'kappa': [-0.9, 0.5, 5.0],
'p': [1.0, 1.5, 2.0],
'weights': ['unit', 'group'],
'epsilon': [1e-8],
'kernel': ['linear']
}
:returns: **pg** -- Mapping from parameters to lists of values for those parameters. To be
used as input for the :class:`.GenSVMGridSearchCV` class.
:rtype: dict
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