Re: [scikit-learn] Random forest prediction probability value is limited to a single decimal point

2017-04-14 Thread Suranga Kasthurirathne
Hi there! Thank you, yea, it was the number of estimators. I was hoping that there was something easier that I could do, but apparently not! But anyways, thank you, this did solve the problem :) On Fri, Apr 14, 2017 at 11:17 AM, Andreas Mueller wrote: > > > On 04/13/2017 02:45 PM, Gael Varoqua

Re: [scikit-learn] Random forest prediction probability value is limited to a single decimal point

2017-04-14 Thread Andreas Mueller
On 04/13/2017 02:45 PM, Gael Varoquaux wrote: I would rather guess that this is related to a small n_estimators. I would try increasing n_estimators in the random forests. Yeah the default is too small for basically all applications. And without any regularization of the forest, each leaf wil

Re: [scikit-learn] How to dump a model to txt file?

2017-04-14 Thread Roman Yurchak
Also, there is an effort on converting trained scikit-learn models to other languages (e.g. C) in https://github.com/nok/sklearn-porter but it does not support GradientBoostingRegressor (yet). On 13/04/17 23:27, federico vaggi wrote: If you want to use the model from C++ code, the easiest way i