If I have to use scikit-learn(sklearn) library for classification and the feature matrix is a sparse matrix then which of the classification algorithms of this library can be used by me?
From this kaggle discussion, the classification algorithms from
scikit-learn that support sparse matrices are at least:
Also, from this quora question, you can check in the implementation of the algorithm if they import
In addition to @ncasas 's links, Here is the full list of classification/regression/feature selection and few more by David Ziganto's blog. Which I referred last week-
Also, from sk-learn documentation, they have example code for text classification which is using few of models.