本文整理汇总了C#中ModelBuilder.PseudoLikelihoodTrain方法的典型用法代码示例。如果您正苦于以下问题：C# ModelBuilder.PseudoLikelihoodTrain方法的具体用法？C# ModelBuilder.PseudoLikelihoodTrain怎么用？C# ModelBuilder.PseudoLikelihoodTrain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类ModelBuilder的用法示例。
在下文中一共展示了ModelBuilder.PseudoLikelihoodTrain方法的2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: ModelTrainingConverges
public void ModelTrainingConverges()
{
ImageData img = ResourceManager.UsingDebugBitmap("testgrid1px.png", (bmp) => {
return ImageData.FromImage(bmp);
});
Label[,] labels = new Label[img.XSites,img.YSites];
Classification cfc = new Classification(labels);
ModelBuilder mbr = new ModelBuilder(ConcatenateFeatures.INSTANCE, LinearBasis.INSTANCE, 1d, 3000, 1d, 1d);
Model mfm = mbr.PseudoLikelihoodTrain("","", new ImageData[1]{img},new Classification[1]{cfc});
Assert.AreNotEqual(mfm.TimeToConverge, mbr.MaxIters);
}示例2: CanClassify
public void CanClassify()
{
ImageData img = ResourceManager.UsingDebugBitmap("testgrid1px.png", (bmp) => {
return ImageData.FromImage(bmp);
});
Label[,] labels = new Label[img.XSites,img.YSites];
Classification cfc = new Classification(labels);
ModelBuilder mbr = new ModelBuilder(ConcatenateFeatures.INSTANCE, LinearBasis.INSTANCE, 1d, 3000, 1d, 1d);
Model mfm = mbr.PseudoLikelihoodTrain("", "", new ImageData[1]{img},new Classification[1]{cfc});
Classification inferred = mfm.MaximumAPosterioriInfer(img);
Assert.IsNotNull(inferred);
}