So I've been working on an NLP parser for sympy. This is how it works, - The Input is first "cleaned up" and rewritten into a structure that is comprehended by a NMT model (seq2seq) - The processed input is passed on to the model which then gives a specific type of output, which is then "processed". - The final result is one that works when used inside sympify('Expression') So Far I've been able to train using data generated from Functions similar to Sum, Max, Min i.e functions with a list of inputs and also with functions such as Summations and Integrals. Since I haven't gone through SymPy's entire codebase, it would be really useful if I had sort of a Glossary or an equivalent structure from which I can glean information about the various functions SymPy has, like a list of single parameter functions, two parameters, multiple parameters and so on.
I haven't been able to find anything so far, help would be much appreciated Cheers Moses Paul -- You received this message because you are subscribed to the Google Groups "sympy" group. To unsubscribe from this group and stop receiving emails from it, send an email to sympy+unsubscr...@googlegroups.com. To view this discussion on the web visit https://groups.google.com/d/msgid/sympy/9fef4da7-aa4f-4c47-ac44-932efacb1dcd%40googlegroups.com.