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package org.galagosearch.core.scoring; |
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import java.util.HashMap; |
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import java.util.HashSet; |
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import java.util.Map; |
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import java.util.Set; |
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import org.galagosearch.tupleflow.Parameters; |
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| 14 | 0 | public class DistributionSmootherFactory { |
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public static DistributionSmoother newInstance(Map<String, String> feature, HashMap<String, Double> backgrounds) { |
| 16 | 0 | String smootherName = "dirichlet"; |
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| 18 | 0 | if (feature.containsKey("smoothing")) { |
| 19 | 0 | smootherName = feature.get("smoothing"); |
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} |
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DistributionSmoother smoother; |
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| 24 | 0 | if (smootherName.equals("linear") || smootherName.equals("jm")) { |
| 25 | 0 | double lambda = 0.4; |
| 26 | 0 | if (feature.containsKey("lambda")) { |
| 27 | 0 | lambda = Double.parseDouble(feature.get("lambda")); |
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} |
| 29 | 0 | smoother = new LinearSmoother(lambda, backgrounds); |
| 30 | 0 | } else { |
| 31 | 0 | double mu = 2500; |
| 32 | 0 | if (feature.containsKey("mu")) { |
| 33 | 0 | mu = Double.parseDouble(feature.get("mu")); |
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} |
| 35 | 0 | smoother = new DirichletSmoother(mu, backgrounds); |
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} |
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| 38 | 0 | return smoother; |
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} |
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public static DistributionSmoother newInstance(Parameters.Value feature, HashMap<String, Double> backgrounds) { |
| 42 | 0 | Set<String> keys = new HashSet<String>(); |
| 43 | 0 | if (feature != null) { |
| 44 | 0 | keys = feature.map().keySet(); |
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} |
| 46 | 0 | HashMap<String, String> map = new HashMap(); |
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| 48 | 0 | for (String key : keys) { |
| 49 | 0 | map.put(key, feature.get(key)); |
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} |
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| 52 | 0 | return newInstance(map, backgrounds); |
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} |
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public static DistributionSmoother newInstance(Parameters.Value feature) { |
| 56 | 0 | return newInstance(feature, new HashMap()); |
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} |
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} |