Accord.MachineLearning.BootstrapResult.BootstrapResult C# (CSharp) Method

        public BootstrapResult(Bootstrap owner, BootstrapValues[] models)
        {
            double[] trainingValues = new double[models.Length];
            double[] trainingVariances = new double[models.Length];
            int[] trainingCount = new int[models.Length];

            double[] validationValues = new double[models.Length];
            double[] validationVariances = new double[models.Length];
            int[] validationCount = new int[models.Length];

            for (int i = 0; i < models.Length; i++)
            {
                trainingValues[i] = models[i].TrainingValue;
                trainingVariances[i] = models[i].TrainingVariance;

                validationValues[i] = models[i].ValidationValue;
                validationVariances[i] = models[i].ValidationVariance;

                owner.GetPartitionSize(i, out trainingCount[i], out validationCount[i]);
            }

            this.Settings = owner;
            this.Training = new CrossValidationStatistics(trainingCount, trainingValues, trainingVariances);
            this.Validation = new CrossValidationStatistics(validationCount, validationValues, validationVariances);

            this.Estimate = 0.632 * Validation.Mean + 0.368 * Training.Mean;
        }