I would like to know: when doing a prediction how can I export the features that were relevant for that prediction's result?
User 91 | 2/13/2015, 4:25:43 AM
If you are using classifiers or recommenders, you can do model['coefficients'] to interpret the results.
See the section on interpreting results:
User 1273 | 2/17/2015, 5:25:32 PM
If I understood that well those are the most relevant features for the whole classifier, but I am searching for the most relevant features for the single prediction, that may be different every time (while the coefficients for the trained classifier remain the same).
User 1273 | 2/17/2015, 7:33:47 PM
A boosted trees classifier for example: how do I see which nodes were navigated?
User 1273 | 2/24/2015, 3:13:28 PM
User 1375 | 4/2/2015, 11:00:14 PM
model.show() is not drawing anything on ipython notebook after I call
gl.canvas.set_target('ipynb'). However, show() does work as expected with SFrame and SArray.
User 1190 | 4/6/2015, 6:07:36 PM
This seems to be a bug for model.show when 'ipynb' is the canvas target. We will get that fixed.
As workaround, please use the 'browser' target for now in ipython notebook.