Looks like you should define ctor for ExtendedLR which accepts String (the uid).
Cheers On Tue, Dec 22, 2015 at 1:04 PM, njoshi <nikhil.jo...@teamaol.com> wrote: > Hi, > > I have a custom extended LogisticRegression model which I want to test > against a parameter grid search. I am running as follows: > > / > val exLR = new ExtendedLR() > .setMaxIter(100) > .setFitIntercept(true) > > /* > * Cross Validator parameter grid > */ > val paramGrid = new ParamGridBuilder() > .addGrid(exLR.regParam, Array(1e-7, 1e-6, 1e-5, 1e-4, 1e-3, 2e-3, > 1e-2, 1e-1, 0.001341682)) > .addGrid(exLR.elasticNetParam, Array(0.95)) > .build() > > > /* > * Perform cross validation over the parameters > */ > val cv = new CrossValidator() > .setEstimator(exLR) > .setEvaluator(new BinaryClassificationEvaluator) > .setEstimatorParamMaps(paramGrid) > .setNumFolds(10) > > /* > * Run the grid search and pick up the best model > */ > val bestModel = cv.fit(trainingData) > .bestModel.asInstanceOf[ExtendedLRModel] > / > > While run individually (exLR.fit(trainingData) way) it works fine, the > crossValidation code produces the following error. > > / > java.lang.NoSuchMethodException: > org.apache.spark.ml.classification.ExtendedLR.<init>(java.lang.String) > at java.lang.Class.getConstructor0(Class.java:3082) > at java.lang.Class.getConstructor(Class.java:1825) > at > org.apache.spark.ml.param.Params$class.defaultCopy(params.scala:529) > at org.apache.spark.ml.PipelineStage.defaultCopy(Pipeline.scala:37) > at > > org.apache.spark.ml.classification.ExtendedLR.copy(FactorizationMachine.scala:434) > at > > org.apache.spark.ml.classification.ExtendedLR.copy(FactorizationMachine.scala:156) > at org.apache.spark.ml.Estimator.fit(Estimator.scala:59) > at > org.apache.spark.ml.Estimator$$anonfun$fit$1.apply(Estimator.scala:78) > at > org.apache.spark.ml.Estimator$$anonfun$fit$1.apply(Estimator.scala:78) > at > > scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:245) > at > > scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:245) > at > > scala.collection.IndexedSeqOptimized$class.foreach(IndexedSeqOptimized.scala:33) > at > scala.collection.mutable.ArrayOps$ofRef.foreach(ArrayOps.scala:186) > at > scala.collection.TraversableLike$class.map(TraversableLike.scala:245) > at scala.collection.mutable.ArrayOps$ofRef.map(ArrayOps.scala:186) > at org.apache.spark.ml.Estimator.fit(Estimator.scala:78) > at > > org.apache.spark.ml.tuning.CrossValidator$$anonfun$fit$1.apply(CrossValidator.scala:89) > at > > org.apache.spark.ml.tuning.CrossValidator$$anonfun$fit$1.apply(CrossValidator.scala:84) > at > > scala.collection.IndexedSeqOptimized$class.foreach(IndexedSeqOptimized.scala:33) > at > scala.collection.mutable.ArrayOps$ofRef.foreach(ArrayOps.scala:186) > at > org.apache.spark.ml.tuning.CrossValidator.fit(CrossValidator.scala:84) > at com.aol.advertising.ml.Driver$.main(Driver.scala:244) > at com.aol.advertising.ml.Driver.main(Driver.scala) > at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method) > at > > sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62) > at > > sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43) > at java.lang.reflect.Method.invoke(Method.java:497) > / > > Is there anything, such as implicits, I need to add someplace? > Note, *ExtendedLR* has exact same inheritance tree. > > Thanks in advance, > Nikhil > > > > -- > View this message in context: > http://apache-spark-user-list.1001560.n3.nabble.com/Classification-model-init-method-not-found-tp25770.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 > >
