[MLLib] Is the order of the coefficients in a LogisticRegresionModel kept ?

Hi everyone, This may sound like a stupid question but I need to be sure of this : Given a dataframe composed by « n » features : f1, f2, …, fn For each row of my dataframe, I create a labeled point : val row_i = LabeledPoint(label, Vectors.dense(v1_i,v2_i,…, vn_i) ) where v1_i,v2_i,…, vn_i a

Re: Is it relevant to use BinaryClassificationMetrics.aucROC / aucPR with LogisticRegressionModel ?

Hi filthysocks, Thanks for the answer. Indeed, using the clearThreshold() function solved my problem :). Regards, Jean. -- View this message in context: http://apache-spark-user-list.1001560.n3.nabble.com/Is-it-relevant-to-use-BinaryClassificationMetrics-aucROC-aucPR-with-LogisticRegressionMo

Is it relevant to use BinaryClassificationMetrics.aucROC / aucPR with LogisticRegressionModel ?

Hi guys, This may be a stupid question. But I m facing an issue here. I found the class BinaryClassificationMetrics and I wanted to compute the aucROC or aucPR of my model. The thing is that the predict method of a LogisticRegressionModel only returns the predicted class, and not the probability