Brian This is absolutely this problem.
Good to hear it will be fix in 2.3 release Le 09 févr. 2018 à 02:17, Bryan Cutler écrivait : > Nicolas, are you referring to printing the model params in that example with > "print(model1.extractParamMap())"? There was a problem with pyspark models > not > having params after being fit, which causes this example to show nothing for > model paramMaps. This was fixed in https://issues.apache.org/jira/browse/ > SPARK-10931 and the example now shows all model params. The fix will be in > the > Spark 2.3 release. > > Bryan > > On Wed, Jan 31, 2018 at 10:20 PM, Nicolas Paris <nipari...@gmail.com> wrote: > > 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
