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C# IContinuousDistribution.ToString方法代码示例

本文整理汇总了C#中IContinuousDistribution.ToString方法的典型用法代码示例。如果您正苦于以下问题:C# IContinuousDistribution.ToString方法的具体用法?C# IContinuousDistribution.ToString怎么用?C# IContinuousDistribution.ToString使用的例子?那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在IContinuousDistribution的用法示例。


在下文中一共展示了IContinuousDistribution.ToString方法的1个代码示例,这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞,您的评价将有助于系统推荐出更棒的C#代码示例。

示例1: ContinuousVapnikChervonenkisTest

        /// <summary>
        /// Vapnik Chervonenkis test.
        /// </summary>
        /// <param name="epsilon">The error we are willing to tolerate.</param>
        /// <param name="delta">The error probability we are willing to tolerate.</param>
        /// <param name="s">The samples to use for testing.</param>
        /// <param name="dist">The distribution we are testing.</param>
        public static void ContinuousVapnikChervonenkisTest(double epsilon, double delta, double[] s, IContinuousDistribution dist)
        {
            // Using VC-dimension, we can bound the probability of making an error when estimating empirical probability
            // distributions. We are using Theorem 2.41 in "All Of Nonparametric Statistics".
            // http://books.google.com/books?id=MRFlzQfRg7UC&lpg=PP1&dq=all%20of%20nonparametric%20statistics&pg=PA22#v=onepage&q=%22shatter%20coe%EF%AC%83cients%20do%20not%22&f=false .</para>
            // For intervals on the real line the VC-dimension is 2.
            Assert.Greater(s.Length, Math.Ceiling(32.0 * Math.Log(16.0 / delta) / epsilon / epsilon));

            var histogram = new Histogram(s, NumberOfHistogramBuckets);
            for (var i = 0; i < NumberOfHistogramBuckets; i++)
            {
                var p = dist.CumulativeDistribution(histogram[i].UpperBound) - dist.CumulativeDistribution(histogram[i].LowerBound);
                var pe = histogram[i].Count/(double)s.Length;
                Assert.Less(Math.Abs(p - pe), epsilon, dist.ToString());
            }
        }
开发者ID:skair39,项目名称:mathnet-numerics,代码行数:23,代码来源:CommonDistributionTests.cs


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