For you case, it's true. But not always correct for a pipeline model, some transformers in pipeline will change the features such as OneHotEncoder.
2016-02-03 1:21 GMT+08:00 jmvllt <mouvilliat.j...@gmail.com>: > 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 are respectively the values of the features f1, f2, > …, fn of the i th row. > > Then, I fit a pipeline composed by a standardScaler and a > logisticRegression > model. > When I get back my LogisticRegressionModel and StandardScalerModel from the > pipeline, I’m calling the getters : > LogisticRegressionModel.coefficients, StandardScalerModel.mean and > StandardScalerModel.std > > This gives me 3 vectors of length « n » > > My question is the following : > Am I assured that the element of index « j » of each vectors correspond to > the feature « j » ? Is the "*order*" of the feature kept ? > e.g : Is StandardScalerModel.mean(j) the mean of the feature « j » of my > data frame ? > > Thanks for your time. > Regards, > J. > > > > > -- > View this message in context: > http://apache-spark-user-list.1001560.n3.nabble.com/MLLib-Is-the-order-of-the-coefficients-in-a-LogisticRegresionModel-kept-tp26137.html > Sent from the Apache Spark User List mailing list archive at Nabble.com. > > --------------------------------------------------------------------- > To unsubscribe, e-mail: user-unsubscr...@spark.apache.org > For additional commands, e-mail: user-h...@spark.apache.org > >
