I've also posted this question to Stack
Overflow.<http://stackoverflow.com/questions/14225882/gridsearch-for-multilabel-onevsrestclassifier>
I'm trying to use GridSearch for a multilabel problem with
OneVsRestClassifier as follows.
#importsfrom sklearn.svm import SVCfrom sklearn.pipeline import
Pipelinefrom sklearn.decomposition import RandomizedPCAfrom
sklearn.cross_validation import StratifiedKFoldfrom
sklearn.grid_search import GridSearchCV
#classifier pipeline
clf_pipeline = clf_pipeline = OneVsRestClassifier(
Pipeline([('reduce_dim', RandomizedPCA()),
('clf', classifier())
]
))
C_range = 10.0 ** np.arange(-2, 9)
gamma_range = 10.0 ** np.arange(-5, 4)
n_components_range = (10, 100, 200)
degree_range = (1, 2, 3, 4)
grid = GridSearchCV(clf_pipeline, param_grid,
cv=StratifiedKFold(y=Y, n_folds=3), n_jobs=1,
verbose=2)
grid.fit(X, Y)
I'm seeing:
/Users/andrewwinterman/Documents/sparks-honey/classifier/lib/python2.7/site-packages/sklearn/grid_search.pyc
in fit_grid_point(X, y, base_clf, clf_params, train, test, loss_func,
score_func, verbose, **fit_params)
107
108 if y is not None:--> 109 y_test = y[safe_mask(y, test)]
110 y_train = y[safe_mask(y, train)]
111 clf.fit(X_train, y_train, **fit_params)
TypeError: only integer arrays with one element can be converted to an index
Any idea how to work around this?
--
Andrew Winterman
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