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 int forecastSize = 144;
var dataPoints = 480;

List pciData = dataPoints.Select(x => new PCIDataPoint { Value = (float)x }).ToList();
IDataView dataView = mlContext.Data.LoadFromEnumerable(pciData);

// Define SSA Forecasting Model
var pipeline = mlContext.Forecasting.ForecastBySsa(
outputColumnName: "PCIForecastedValues", // Explicitly set the output column
inputColumnName: nameof(PCIDataPoint.Value),  // Correct input column
windowSize: forecastSize,   // Lookback window size
seriesLength: dataPoints.Count,  // Entire series length
trainSize: dataPoints.Count,     // Training data size
horizon: forecastSize,           // Number of predictions
confidenceLevel: 0.95f,          // Confidence level
confidenceLowerBoundColumn: "ConfidenceLowerBound",
confidenceUpperBoundColumn: "ConfidenceUpperBound"
);

// Train the model
var model = pipeline.Fit(dataView);