SVR kernel string issues with dense data in python 2.7 #87
Description
If feature scaling is set to both when using SVR (causing dense matrices to be used), then SVR complains (see below).
I'm guessing this started with the 0.17.1 bug fix release that aimed to fix a similar issue for python 3.
(python 2 unicode support strikes again!)
Traceback (most recent call last):
File "/opt/python/2.7/lib/python2.7/site-packages/gridmap/job.py", line 196, in execute
self.ret = self.function(*self.args, **self.kwlist)
File "/opt/python/2.7/lib/python2.7/site-packages/skll/experiments.py", line 656, in _classify_featureset
grid_jobs=grid_search_jobs)
File "/opt/python/2.7/lib/python2.7/site-packages/skll/learner.py", line 1116, in cross_validate
shuffle=False))
File "/opt/python/2.7/lib/python2.7/site-packages/skll/learner.py", line 809, in train
grid_searcher.fit(xtrain, classes)
File "/opt/python/2.7/lib/python2.7/site-packages/sklearn/grid_search.py", line 707, in fit
return self._fit(X, y, ParameterGrid(self.param_grid))
File "/opt/python/2.7/lib/python2.7/site-packages/sklearn/grid_search.py", line 493, in _fit
for parameters in parameter_iterable
File "/opt/python/2.7/lib/python2.7/site-packages/sklearn/externals/joblib/parallel.py", line 517, in __call__
self.dispatch(function, args, kwargs)
File "/opt/python/2.7/lib/python2.7/site-packages/sklearn/externals/joblib/parallel.py", line 312, in dispatch
job = ImmediateApply(func, args, kwargs)
File "/opt/python/2.7/lib/python2.7/site-packages/sklearn/externals/joblib/parallel.py", line 136, in __init__
self.results = func(*args, **kwargs)
File "/opt/python/2.7/lib/python2.7/site-packages/sklearn/grid_search.py", line 306, in fit_grid_point
clf.fit(X_train, y_train, **fit_params)
File "/opt/python/2.7/lib/python2.7/site-packages/skll/learner.py", line 224, in fit
orig_fit(self, X, y=y)
File "/opt/python/2.7/lib/python2.7/site-packages/sklearn/svm/base.py", line 178, in fit
fit(X, y, sample_weight, solver_type, kernel, random_seed=seed)
File "/opt/python/2.7/lib/python2.7/site-packages/sklearn/svm/base.py", line 233, in _dense_fit
max_iter=self.max_iter, random_seed=random_seed)
TypeError: Argument 'kernel' has incorrect type (expected str, got unicode)
done