Re: Get both feature importance and ROC curve from a random forest classifier

well, sounds trivial now ... ! thanks ;-) 2016-07-02 10:04 GMT+02:00 Yanbo Liang : > Hi Mathieu, > > Using the new ml package to train a RandomForestClassificationModel, you > can get feature importance. Then you can convert the prediction result to > RDD and feed it into

Re: spark ec2 as non-root / any plan to improve that in the future ?

Quick and clear answer thank you. 2015-07-09 21:07 GMT+02:00 Nicholas Chammas nicholas.cham...@gmail.com: No plans to change that at the moment, but agreed it is against accepted convention. It would be a lot of work to change the tool, change the AMIs, and test everything. My suggestion is

custom join using complex keys

Hi folks, I need to join RDDs having composite keys like this : (K1, K2 ... Kn). The joining rule looks like this : * if left.K1 == right.K1, then we have a true equality, and all K2... Kn are also equal. * if left.K1 != right.K1 but left.K2 == right.K2, I have a partial equality, and I also