Rebased, Implemented test for sparse_output in MultilabelBinarizer
Improved test coverage for label.py by editing exisitng testing functions
Trivial chnage, Restarting travis joblib failure
Deprecated multilabel_ and indicator_matrix_, used calls to MultilableBinarizer to replace seq of seq handling
Updated documentation with sparse support
Revised test to look for warning in the list of warnings
Included test for ensuring deprcation warning is raised with seq of seq tests for LabelBinarizer
Handled case of row with all zeros to _inverse_binarize_multiclass by raising value error
Included authors entry
Modified sparse OvR to handle sparse target data
Progress comment
Introduce multiclass behvior into predict_ovr, minimal testing in test_multiclass
Initialized sparse output in fit_ovr LabelBinarizer to be sparse if Y is sparse, removed debug statements
Enforced correct dtype in predict_ovr
Included first test for sparse ovr
Included first test for sparse ovr
Revised sparse ovr predict test
Implemented construction of csc_matrix by column indicies in predict_ovr
Revised formating and indentations
Revised test_ovr_fit_predict_sparse to ensure identical results from sparsely and densely trained classifiers