Beispiel #1
0
        public static void PopulateDataSet(DataSetColumns dataSetColumns)
        {
            var cpuCount     = new List <double>();
            var totalMemory  = new List <double>();
            var systemUpTime = new List <double>();
            var sumTriggers  = new List <double>();

            using (var reader = new StreamReader(_dataPath))
            {
                reader.ReadLine(); // headers
                while (!reader.EndOfStream)
                {
                    var line   = reader.ReadLine();
                    var values = line.Split(',');
                    cpuCount.Add(double.Parse(values[11]));
                    totalMemory.Add(float.Parse(values[18], System.Globalization.NumberStyles.Float));
                    systemUpTime.Add(double.Parse(values[4]));
                    sumTriggers.Add(double.Parse(values[19]));
                }
            }
            dataSetColumns.CPUCount     = cpuCount.ToArray();
            dataSetColumns.TotalMemory  = totalMemory.ToArray();
            dataSetColumns.SystemUpTime = systemUpTime.ToArray();
            dataSetColumns.SumTriggers  = sumTriggers.ToArray();
        }
Beispiel #2
0
        static void Main(string[] args)
        {
            try
            {
                var datasetColumns = new DataSetColumns();
                PopulateDataSet(datasetColumns);

                // Learn about your data
                UnderstandData(datasetColumns);

                // Find Correlations
                //FindCorrelations(datasetColumns);

                // Train the clustering model
                //var model = TrainTheModel();

                // Evaluate the model
                //EvaluateModel(model);
            }
            catch (Exception e)
            {
                Console.WriteLine(e);
            }
            Console.WriteLine("Execution Complete -- Press Enter");
            Console.ReadLine();
        }
Beispiel #3
0
        public static void FindCorrelations(DataSetColumns dataSetColumns)
        {
            var pcc = PearsonCoefficientCalculator.ComputeCoefficient(dataSetColumns.SystemUpTime, dataSetColumns.SumTriggers);

            Console.WriteLine("Pearson coefficient between SystemUpTime and SumTriggers");
            Console.WriteLine(pcc);

            pcc = PearsonCoefficientCalculator.ComputeCoefficient(dataSetColumns.CPUCount, dataSetColumns.TotalMemory);
            Console.WriteLine("Pearson coefficient between CPUCount and TotalMemory");
            Console.WriteLine(pcc);
        }
Beispiel #4
0
        /// <summary>
        /// This method reads the training data and calculates a variety of statistical data about each column.
        /// </summary>
        public static void UnderstandData(DataSetColumns dataSetColumns)
        {
            //Calculate and output the statistics for your pleasure
            var stats = MetricStatistics.CalculateMetricStatisticsAsync(dataSetColumns.CPUCount, DateTime.Now, TimeSpan.FromSeconds(1)).Result;

            Console.WriteLine("CPUCount Statistics:");
            Console.WriteLine(stats.ToString());
            stats = MetricStatistics.CalculateMetricStatisticsAsync(dataSetColumns.TotalMemory, DateTime.Now, TimeSpan.FromSeconds(1)).Result;
            Console.WriteLine("TotalMemory Statistics:");
            Console.WriteLine(stats.ToString());
            stats = MetricStatistics.CalculateMetricStatisticsAsync(dataSetColumns.SystemUpTime, DateTime.Now, TimeSpan.FromSeconds(1)).Result;
            Console.WriteLine("SystemUpTime Statistics:");
            Console.WriteLine(stats.ToString());
            stats = MetricStatistics.CalculateMetricStatisticsAsync(dataSetColumns.SumTriggers, DateTime.Now, TimeSpan.FromSeconds(1)).Result;
            Console.WriteLine("SumTriggers Statistics:");
            Console.WriteLine(stats.ToString());
        }