logarithmregress.cs

来自「对数回归方程 LogarithmRegress.cs 方程模型为 Y=a*L」· CS 代码 · 共 49 行

using System;

namespace InfieldForecast.ForecastModels
{
	/// <summary>
	/// LogarithmRegress 的摘要说明。
	/// </summary>
	public class LogarithmRegress:RegressFormulaStrategy
	{
		private double[] lnXArray;
		private LinearRegress linearRegress;
		public LogarithmRegress(double[] xArray,double[] yArray)
		{
			//
			// TODO: 在此处添加构造函数逻辑
			//
			this.xArray=xArray;
			this.yArray=yArray;
			init();
		}
		private void init()
		{
			lnXArray=new double[getSize()];
			for(int i=0;i<getSize();i++)
			{
				lnXArray[i]=Math.Log(xArray[i],Math.E);
			}
			linearRegress=new LinearRegress(lnXArray,yArray);
		}
		public override double[] buildFormula()
		{
			return linearRegress.getCoefficientArray();

		}
		public override double computeR2()
		{
			return linearRegress.computeR2();
		}
		public override double computeR()
		{
			return Math.Sqrt(computeR2());	
		}
		public override double forecast(double x)
		{
			return linearRegress.forecast(Math.Log(x,Math.E));
		}
	}
}