Thank you Till. I have another question. Can I use a DataSet object as Model? In KNN, we need to DataSet given in fit operation.
But when I defined Model generic parameter to DataSet in PredictOperation, the getModel method’s return type is DataSet[DataSet]. I’m confused with this situation. If any advice about this to me, I will really appreciate. Regards, Chiwan Park > On Jun 29, 2015, at 4:43 PM, Till Rohrmann <trohrm...@apache.org> wrote: > > Hi Chiwan, > > when you use the single element predict operation, you always have to > implement the `getModel` method. There you have access to the resulting > parameters and even to the instance to which the `PredictOperation` > belongs. Within in this `getModel` method you can initialize all the > information you need for the `predict` operation. > > You can take a look at the `StandardScalerTransformOperation` [1] where the > mean and the std are set in the `getModel` method. > > Cheers, > Till > > [1] > https://github.com/apache/flink/blob/master/flink-staging/flink-ml/src/main/scala/org/apache/flink/ml/preprocessing/StandardScaler.scala#L197 > > On Sun, Jun 28, 2015 at 1:49 PM, Chiwan Park <chiwanp...@apache.org> wrote: > >> Hi, I’m implementing k-nearest-neighbors classification based flink-ml >> structure. >> >> In recent commit (7a7a2940 [1]), the pipeline is restructured by dividing >> predict operation >> into case of a single element and case of data set. In case of data set, >> parameter map is >> given as a method parameter but in case of a single element there is no >> method to access >> parameter map. >> >> But in k-nearest-neighbors classification, we need to know k in predict >> method to select top >> k values. >> >> How can I solve this problem? >> >> Regards, >> Chiwan Park >> >> [1] >> https://github.com/apache/flink/commit/7a7a294033ef99c596e59f670e2e4ae9262f5c5f >> >>
