Hey I am also interested in how to get those parameters. For example, the demo code spark-2.2.1-bin-hadoop2.7/examples/src/main/python/ml/estimator_transformer_param_example.py return empty parameters when printing "lr.extractParamMap()"
That's weird Thanks Le 30 janv. 2018 à 23:10, Bryan Cutler écrivait : > Hi Michelle, > > Your original usage of ParamGridBuilder was not quite right, `addGrid` expects > (some parameter, array of values for that parameter). If you want to do a > grid > search with different regularization values, you would do the following: > > val paramMaps = new ParamGridBuilder().addGrid(logist.regParam, Array(0.1, > 0.3)).build() > > * don't forget to build the grid after adding values > > On Tue, Jan 30, 2018 at 6:55 AM, michelleyang <michelle1026sh...@gmail.com> > wrote: > > I tried to use One vs Rest in spark ml with pipeline and crossValidator > for > multimultinomial in logistic regression. > > It came out with empty coefficients. I figured out it was the setting of > ParamGridBuilder. Can anyone help me understand how does the parameter > setting affect the crossValidator process? > > the orginal code: //output empty coefficients. > > val logist=new LogisticRegression > > val ova = new OneVsRest().setClassifier(logist) > > val paramMaps = new ParamGridBuilder().addGrid(ova.classifier, > Array(logist.getRegParam)) > > New code://output multi classes coefficients > > val logist=new LogisticRegression > > val ova = new OneVsRest().setClassifier(logist) > > val classifier1 = new LogisticRegression().setRegParam(2.0) > > val classifier2 = new LogisticRegression().setRegParam(3.0) > > val paramMaps = new ParamGridBuilder() .addGrid(ova.classifier, > Array(classifier1, classifier2)) > > Please help!!!! Thanks. > > > > -- > Sent from: http://apache-spark-user-list.1001560.n3.nabble.com/ > > --------------------------------------------------------------------- > To unsubscribe e-mail: user-unsubscr...@spark.apache.org > > > --------------------------------------------------------------------- To unsubscribe e-mail: user-unsubscr...@spark.apache.org
