Examples of com.heatonresearch.aifh.learning.MLMethod

Package com.heatonresearch.aifh.learning

Examples of com.heatonresearch.aifh.learning.MLMethod

com.heatonresearch.aifh.learning.MLMethod
This interface defines a Machine Learning Method. A MLMethod is an algorithm that accepts data and provides some sort of insight into it. This could be a neural network, support vector machine, clustering algorithm, or something else entirely.

    /**
     * Perform the task.
     */
    @Override
    public void run() {
        MLMethod phenotype = this.owner.getCodec().decode(this.genome);
        if (phenotype != null) {
            double score;
            try {
                score = this.scoreFunction.calculateScore(phenotype);
            } catch (AIFHError e) {

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     */
    @Override
    public void calculateScore(final Genome g) {


        // decode
        final MLMethod phenotype = getCODEC().decode(g);
        double score;


        // deal with invalid decode
        if (phenotype == null) {
            if (getBestComparator().shouldMinimize()) {

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Related Classes of com.heatonresearch.aifh.learning.MLMethod

com.heatonresearch.aifh.evolutionary.score.parallel.ParallelScoreTask

com.heatonresearch.aifh.evolutionary.train.basic.BasicEA

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