Package com.github.pmerienne.trident.ml.preprocessing

Source Code of com.github.pmerienne.trident.ml.preprocessing.StandardScaler

/**
* 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.stats.StreamFeatureStatistics;
import com.github.pmerienne.trident.ml.stats.StreamStatistics;

import storm.trident.operation.BaseFunction;
import storm.trident.operation.TridentCollector;
import storm.trident.tuple.TridentTuple;
import backtype.storm.tuple.Values;

public class StandardScaler extends BaseFunction {

  private static final long serialVersionUID = 1740717206768121351L;

  @Override
  public void execute(TridentTuple tuple, TridentCollector collector) {
    Instance<?> instance = (Instance<?>) tuple.get(0);
    StreamStatistics streamStatistics = (StreamStatistics) tuple.get(1);

    Instance<?> standardizedInstance = this.standardize(instance, streamStatistics);
    collector.emit(new Values(standardizedInstance));
  }

  @SuppressWarnings({ "rawtypes", "unchecked" })
  protected Instance<?> standardize(Instance<?> instance, StreamStatistics streamStatistics) {
    // init new features
    int featuresSize = instance.features.length;
    double[] standardizedFeatures = new double[featuresSize];

    // Standardize each feature
    StreamFeatureStatistics featureStatistics;
    for (int i = 0; i < featuresSize; i++) {
      featureStatistics = streamStatistics.getFeaturesStatistics().get(i);
      standardizedFeatures[i] = (instance.features[i] - featureStatistics.getMean()) / featureStatistics.getStdDev();
    }

    Instance<?> standardizedInstance = new Instance(instance.label, standardizedFeatures);
    return standardizedInstance;
  }
}
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