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https://github.com/hltfbk/Excitement-Open-Platform Conflicts: core/src/main/resources/configuration-file/biutee.xml
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188 changes: 94 additions & 94 deletions
188
...tproject/eop/biutee/classifiers/f1_logicstic_regression/F_alpha_DerivativeCalculator.java
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -1,94 +1,94 @@ | ||
| package eu.excitementproject.eop.biutee.classifiers.f1_logicstic_regression; | ||
| import java.util.List; | ||
| import java.util.Map; | ||
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| import eu.excitementproject.eop.biutee.classifiers.ClassifierException; | ||
| import eu.excitementproject.eop.biutee.classifiers.LabeledSample; | ||
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| /** | ||
| * Implementation of {@link DerivativeCalculator} for maximizing the F\alpha | ||
| * (F1, for example, in which \alpha=0.5) measure | ||
| * In other words: the objective function is F\alpha. | ||
| * | ||
| * @author Asher Stern | ||
| * @since Mar 12, 2012 | ||
| * | ||
| */ | ||
| public class F_alpha_DerivativeCalculator implements DerivativeCalculator | ||
| { | ||
| public F_alpha_DerivativeCalculator(double alg_gamma_sigmoid_coefficient) | ||
| { | ||
| super(); | ||
| this.alg_gamma_sigmoid_coefficient = alg_gamma_sigmoid_coefficient; | ||
| } | ||
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| public F_alpha_DerivativeCalculator(double alpha, double alg_gamma_sigmoid_coefficient) | ||
| { | ||
| super(); | ||
| this.alg_gamma_sigmoid_coefficient = alg_gamma_sigmoid_coefficient; | ||
| this.alpha = alpha; | ||
| } | ||
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| @Override | ||
| public void setCurrentState(int numberOfFeatures, double[] weights, | ||
| List<LabeledSample> samples) throws ClassifierException | ||
| { | ||
| this.numberOfFeatures = numberOfFeatures; | ||
| this.weights = weights; | ||
| this.samples = samples; | ||
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| valuesSet = true; | ||
| } | ||
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| @Override | ||
| public void calculate() throws ClassifierException | ||
| { | ||
| if (!valuesSet) throw new ClassifierException("values not set"); | ||
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| F_and_dF_calculator calculator = new F_and_dF_calculator(numberOfFeatures,weights,samples,alpha,alg_gamma_sigmoid_coefficient); | ||
| calculator.calculate(); | ||
| this.currentValue = calculator.get_F(); | ||
| this.partialDerivations = calculator.get_dF(); | ||
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| calculated = true; | ||
| valuesSet = false; | ||
| } | ||
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| @Override | ||
| public double getCurrentValue() throws ClassifierException | ||
| { | ||
| if (!calculated) throw new ClassifierException("not calculated"); | ||
| return this.currentValue; | ||
| } | ||
|
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| @Override | ||
| public Map<Integer, Double> getCurrentPartialDerivatives() | ||
| throws ClassifierException | ||
| { | ||
| if (!calculated) throw new ClassifierException("not calculated"); | ||
| return this.partialDerivations; | ||
| } | ||
|
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| @Override | ||
| public String getDescription() | ||
| { | ||
| return F_alpha_DerivativeCalculator.class.getSimpleName()+" alpha = "+String.format("%-4.4f", alpha); | ||
| } | ||
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| private double alpha = 0.5; | ||
| private double alg_gamma_sigmoid_coefficient; | ||
|
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| private int numberOfFeatures; | ||
| private double[] weights; | ||
| private List<LabeledSample> samples; | ||
|
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| private double currentValue; | ||
| private Map<Integer, Double> partialDerivations; | ||
|
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| private boolean valuesSet = false; | ||
| private boolean calculated = false; | ||
| } | ||
| package eu.excitementproject.eop.biutee.classifiers.f1_logicstic_regression; | ||
| import java.util.List; | ||
| import java.util.Map; | ||
|
|
||
| import eu.excitementproject.eop.biutee.classifiers.ClassifierException; | ||
| import eu.excitementproject.eop.biutee.classifiers.LabeledSample; | ||
|
|
||
|
|
||
| /** | ||
| * Implementation of {@link DerivativeCalculator} for maximizing the F\alpha | ||
| * (F1, for example, in which \alpha=0.5) measure | ||
| * In other words: the objective function is F\alpha. | ||
| * | ||
| * @author Asher Stern | ||
| * @since Mar 12, 2012 | ||
| * | ||
| */ | ||
| public class F_alpha_DerivativeCalculator implements DerivativeCalculator | ||
| { | ||
| public F_alpha_DerivativeCalculator(double alg_gamma_sigmoid_coefficient) | ||
| { | ||
| super(); | ||
| this.alg_gamma_sigmoid_coefficient = alg_gamma_sigmoid_coefficient; | ||
| } | ||
|
|
||
| public F_alpha_DerivativeCalculator(double alpha, double alg_gamma_sigmoid_coefficient) | ||
| { | ||
| super(); | ||
| this.alg_gamma_sigmoid_coefficient = alg_gamma_sigmoid_coefficient; | ||
| this.alpha = alpha; | ||
| } | ||
|
|
||
| @Override | ||
| public void setCurrentState(int numberOfFeatures, double[] weights, | ||
| List<LabeledSample> samples) throws ClassifierException | ||
| { | ||
| this.numberOfFeatures = numberOfFeatures; | ||
| this.weights = weights; | ||
| this.samples = samples; | ||
|
|
||
| valuesSet = true; | ||
| } | ||
|
|
||
| @Override | ||
| public void calculate() throws ClassifierException | ||
| { | ||
| if (!valuesSet) throw new ClassifierException("values not set"); | ||
|
|
||
| F_and_dF_calculator calculator = new F_and_dF_calculator(numberOfFeatures,weights,samples,alpha,alg_gamma_sigmoid_coefficient); | ||
| calculator.calculate(); | ||
| this.currentValue = calculator.get_F(); | ||
| this.partialDerivations = calculator.get_dF(); | ||
|
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| calculated = true; | ||
| valuesSet = false; | ||
| } | ||
|
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| @Override | ||
| public double getCurrentValue() throws ClassifierException | ||
| { | ||
| if (!calculated) throw new ClassifierException("not calculated"); | ||
| return this.currentValue; | ||
| } | ||
|
|
||
| @Override | ||
| public Map<Integer, Double> getCurrentPartialDerivatives() | ||
| throws ClassifierException | ||
| { | ||
| if (!calculated) throw new ClassifierException("not calculated"); | ||
| return this.partialDerivations; | ||
| } | ||
|
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| @Override | ||
| public String getDescription() | ||
| { | ||
| return F_alpha_DerivativeCalculator.class.getSimpleName()+" alpha = "+String.format("%-4.4f", alpha); | ||
| } | ||
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| private double alpha = 0.5; | ||
| private double alg_gamma_sigmoid_coefficient; | ||
|
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| private int numberOfFeatures; | ||
| private double[] weights; | ||
| private List<LabeledSample> samples; | ||
|
|
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| private double currentValue; | ||
| private Map<Integer, Double> partialDerivations; | ||
|
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| private boolean valuesSet = false; | ||
| private boolean calculated = false; | ||
| } |
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