Wencai Cao

@JAremko thanks~

另外，请教一下valid_dim=3的作用， 默认应该是全排列，向量两两之间进行计算，所有特征都应该计算注意力。 valid_dim的作用就是人为筛选前面的部分特征用来计算注意力，是这样吧？ 如果用途是筛选good features interaction，按照原作者以及你的实现方式，特征排序前面的valid_dim个特征就代表了注意力筛选的good features，这样的话特征排序也有必要？

void LMFitCUDA::simul() void LMFit::simul(float const tolerance) same function name in different class? By the way, still confused about what your new model is like.

@mscipio Also at sometimes, the output_parameters is less important than output_data through integral or differential by the fitted model. Under this condition, it is to save some time between GPU...

Not clear yet. In the src, hard to find where the prediction results return. Examples are all about training only. An example about do test_dataset(without labels) predictions would be much...