I am working on improving the TMVA. There is a lot of work that needs to be taken care of like:
- Implementing new machine learning algorithms
- Adding more activation functions (hard-sigmoid, softplus, exponential linear unit,…)
- Adding more loss functions (cross entropy, hinge, …)
- Implementing L1L2 regularizer
If someone can guide me regarding this then it would be really helpful.