The prototype of the API will look like that
PipelineMdl mdl = new Pipeline<Integer, Object[]> ()
.addFeatureExtractor(featureExtractor)
.addLabelExtractor(lbExtractor)
.addStage(new EncoderTrainer<Integer, Object[]>()
.withEncoderType(EncoderType.STRING_ENCODER)
.withEncodedFeature(1)
.withEncodedFeature(6))
.addStage(new ImputerTrainer<Integer, Object[]>())
.addStage(new MinMaxScalerTrainer<Integer,
Object[]>())
.addStage(new NormalizationTrainer<Integer,
Object[]>()
.withP(1))
.addFinalStage(new
DecisionTreeClassificationTrainer(5, 0))
.fit(ignite, dataCache);
Also, I've added separate ticket for the update of ParamGrid/CrossValidation
API to support tune hyperparameters not only in final trainers but in
intermideate preprocessing stages too.
https://issues.apache.org/jira/browse/IGNITE-9497
I suggest to add this feature in 2.8 because it doesn't change the current
API of algorithms and has no serialized issues
--
Sent from: http://apache-ignite-developers.2346864.n4.nabble.com/
