/** * Copyright 2013-2015 Pierre Merienne * * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. */ package com.github.pmerienne.trident.ml.preprocessing; import com.github.pmerienne.trident.ml.core.Instance; import com.github.pmerienne.trident.ml.util.MathUtil; import storm.trident.operation.BaseFunction; import storm.trident.operation.TridentCollector; import storm.trident.tuple.TridentTuple; import backtype.storm.tuple.Values; public class Normalizer extends BaseFunction { private static final long serialVersionUID = 511416266460297754L; @Override public void execute(TridentTuple tuple, TridentCollector collector) { Instance<?> instance = (Instance<?>) tuple.get(0); Instance<?> normalizedInstance = this.normalize(instance); collector.emit(new Values(normalizedInstance)); } @SuppressWarnings({ "rawtypes", "unchecked" }) protected Instance<?> normalize(Instance<?> instance) { double[] normalizedFeatures = MathUtil.normalize(instance.features); Instance<?> normalizedInstance = new Instance(instance.label, normalizedFeatures); return normalizedInstance; } }