scipy - Python sparse matrix & classifiers -


working naturally sparse data love use scipy sparse type (csr_matrix instance). confused when @ various classifiers on whether support type or not !

  • logistic regression, naive bayes seem working
  • as regards svm classifiers (sklearn.svm.svc instance) understand can predict on same type has first fitted (so if fit on sparse matrix, can use .predict() , .score() sparse data), correct ?

a second question pros of using sparse type (appart memory storage) : improving speed of algorithm ? svm.svc doesn't so, unable tell sure, know more on subject ?

i have add planning on using cross_val_score , greadsearchcv tune , cross-validate on sparse data, , love be sure functions can support efficiently sparse type.

thank !


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