Sure! that could definitely be done, down the line 😁 And Aaron, I'm currently scraping through the SymPy documentation, I'll probably end up creating a "glossary" because it can be immensely helpful in automating the generation of training data for the NMT model.
On Thursday, May 14, 2020 at 2:45:47 AM UTC+5:30, David Bailey wrote: > > On 13/05/2020 20:03, Moses Paul wrote: > > (ps I'm aware that the examples (sum, Max) I gave up there use iterables ) > Here's an excerpt from the model training dataset > what be the maximum of D, m => Max ( D , m ) > what be the max of D, m => Max ( D , m ) > what be the biggest of D, m => Max ( D , m ) > find the sum of D, m => sum ( D , m ) > find the total of D, m => sum ( D , m ) > find the minimum of D, m => Min ( D , m ) > find the min of D, m => Min ( D , m ) > find the smallest of D, m => Min ( D , m ) > find the maximum of D, m => Max ( D , m ) > find the max of D, m => Max ( D , m ) > > I think perhaps the greatest use of this parser would be as a natural > language way to find out how to do things in SymPy - so it would be useful > to return the resultant expression unevaluated - maybe in response to a > "how" question. > > For that purpose, it would be almost ideal. > > Maybe it could also be extended to some vaguer questions such as : > > "How do I evaluate line integrals using SymPy?" > > David > -- 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/39a70280-4e9a-4196-b480-b1f0eca18393%40googlegroups.com.
