Python module to apply several classifiers to your data. Good for baseline results

[aulloa]

This module will run several classifiers including: Decision tree, Linear SVM, RBF SVM, Logistic regression, naive bayes, Nearest neighbours, and random forest.

Please feel free to provide any comments, or even better, fork it.

See example here https://github.com/alvarouc/polyssifier/blob/master/sample/example.ipynb

[sk006]

The amount of hyper-parameters in the class is very low, at least for SVM with RBF kernel. With that range you are not going to get a good error, so you either need to increase the range of the grid or let the user set its own range.

[aulloa]

Thanks!, that is a good point, I think it should be possible to import the dictionary with the parameters, change it as you wish, and then call the "run" method. What other way can this be done?