/**
* 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;
}
}