NaiveBayesModel(Context[] params, String[] predLabels, Map<String, Context> pmap, String[] outcomeNames) { super(params, predLabels, pmap, outcomeNames); outcomeTotals = initOutcomeTotals(outcomeNames, params); this.evalParams = new NaiveBayesEvalParameters(params, outcomeNames.length, outcomeTotals, predLabels.length); modelType = ModelType.NaiveBayes; }
Probabilities<Integer> probabilities = new LogProbabilities<>(); double[] outcomeTotals = model instanceof NaiveBayesEvalParameters ? ((NaiveBayesEvalParameters) model).getOutcomeTotals() : new double[prior.length]; long vocabulary = model instanceof NaiveBayesEvalParameters ? ((NaiveBayesEvalParameters) model).getVocabulary() : 0; double[] activeParameters; int[] activeOutcomes;
Probabilities<Integer> probabilities = new LogProbabilities<>(); double[] outcomeTotals = model instanceof NaiveBayesEvalParameters ? ((NaiveBayesEvalParameters) model).getOutcomeTotals() : new double[prior.length]; long vocabulary = model instanceof NaiveBayesEvalParameters ? ((NaiveBayesEvalParameters) model).getVocabulary() : 0; double[] activeParameters; int[] activeOutcomes;
Context[] params = model.getParams(); double[] outcomeTotals = model instanceof NaiveBayesEvalParameters ? ((NaiveBayesEvalParameters) model).getOutcomeTotals() : new double[prior.length]; long vocabulary = model instanceof NaiveBayesEvalParameters ? ((NaiveBayesEvalParameters) model).getVocabulary() : 0; double[] activeParameters; int[] activeOutcomes;
public NaiveBayesModel(Context[] params, String[] predLabels, String[] outcomeNames) { super(params, predLabels, outcomeNames); outcomeTotals = initOutcomeTotals(outcomeNames, params); this.evalParams = new NaiveBayesEvalParameters(params, outcomeNames.length, outcomeTotals, predLabels.length); modelType = ModelType.NaiveBayes; }
public NaiveBayesModel(Context[] params, String[] predLabels, String[] outcomeNames) { super(params, predLabels, outcomeNames); outcomeTotals = initOutcomeTotals(outcomeNames, params); this.evalParams = new NaiveBayesEvalParameters(params, outcomeNames.length, outcomeTotals, predLabels.length); modelType = ModelType.NaiveBayes; }
public NaiveBayesModel(Context[] params, String[] predLabels, String[] outcomeNames) { super(params, predLabels, outcomeNames); outcomeTotals = initOutcomeTotals(outcomeNames, params); this.evalParams = new NaiveBayesEvalParameters(params, outcomeNames.length, outcomeTotals, predLabels.length); modelType = ModelType.NaiveBayes; }
NaiveBayesModel(Context[] params, String[] predLabels, Map<String, Context> pmap, String[] outcomeNames) { super(params, predLabels, pmap, outcomeNames); outcomeTotals = initOutcomeTotals(outcomeNames, params); this.evalParams = new NaiveBayesEvalParameters(params, outcomeNames.length, outcomeTotals, predLabels.length); modelType = ModelType.NaiveBayes; }
NaiveBayesModel(Context[] params, String[] predLabels, Map<String, Context> pmap, String[] outcomeNames) { super(params, predLabels, pmap, outcomeNames); outcomeTotals = initOutcomeTotals(outcomeNames, params); this.evalParams = new NaiveBayesEvalParameters(params, outcomeNames.length, outcomeTotals, predLabels.length); modelType = ModelType.NaiveBayes; }