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Licensed to the Apache Software Foundation (ASF) under one or more contributor license agreements. See the NOTICE file distributed with this work for additional information regarding copyright ownership. The ASF licenses this file to you 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 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.
public abstract class FeatureSelection<OUTCOME_T> extends
    TrainableExtractor_ImplBase<OUTCOME_T> implements Predicate<Feature> {
  protected boolean isTrained;
  public FeatureSelection(String name) {
    this. = false;
  public boolean apply(Feature feature) {
    return this..contains(this.getFeatureName(feature));
  public Instance<OUTCOME_T> transform(Instance<OUTCOME_T> instance) {
    List<Feature> features = new ArrayList<Feature>();
    for (Feature feature : instance.getFeatures()) {
      if (this.isTransformable(feature)) {
        // Filter down to selected features
        features.addAll(Collections2.filter(((TransformableFeature) feature).getFeatures(), this));
      } else {
        // Pass non-relevant features through w/o filtering
    return new Instance<OUTCOME_T>(instance.getOutcome(), features);
  public List<Feature> transform(List<Feature> features) {
    List<Feature> results = Lists.newArrayList();
    if (this.) {
    } else {
      results.add(new TransformableFeature(this.features));
    return results;
  protected String getFeatureName(Feature feature) {
    String featureName = feature.getName();
    Object featureValue = feature.getValue();
    return featureValue instanceof Number ? featureName : featureName + ":" + featureValue;
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