Re: [Scikit-learn-general] RandomForestClassifier with warm_start and n_jobs

2015-06-30 Thread Andreas Mueller
Unless I am misremembering how warm starts are implemented (tree growers around?) the comment seems badly phrased. I think what it means to say is that warm-starting repeatedly with the number of trees increasing by increments of 1 will make the fitting be serial (you only built a single tree

Re: [Scikit-learn-general] RandomForestClassifier with warm_start and n_jobs

2015-06-30 Thread Trevor Stephens
Andy, BaseForest's fit method uses the same parallel loop, regardless of warm-start. So, as you state, it's just that the example only adds a single additional estimator at a time. On Tue, Jun 30, 2015 at 12:48 PM, Andreas Mueller t3k...@gmail.com wrote: Unless I am misremembering how warm

[Scikit-learn-general] RandomForestClassifier with warm_start and n_jobs

2015-06-24 Thread Dale Smith
Hello, Version 0.16.1 adds warm_start to RandomForestClassifier, but the documentation doesn't include a note that warm_start disables parallelization. I found a reference to this in a comment in the OOB Errors for Random Forests example in the development documentation.

Re: [Scikit-learn-general] RandomForestClassifier with warm_start and n_jobs

2015-06-24 Thread Artem
Hi Dale Thanks for the code sample! Indeed, warm_start does not disable parallelization, I can confirm by both running your code and checking the source. Moreover, that example you mentioned was added on May, 2nd, and it doesn't look