Re: Artificial Intelligence libraries in ADA

[Roger Mc <rogermcm2@gmail.com>]

On Wednesday, July 10, 2019 at 5:25:50 PM UTC+10, Daniel wrote:
> Does anybody knows pure Ada libraries for AI? 
> 
> Specially, I'm interested in Decission Trees, but I can't find anything on internet. 
> 
> I case of a negative answer, does anybody knows a good CPU perforamnce AI C/C++ Library working good binded to Ada code?

I had a similar need involving TensorFlow.
After much investigation I decided on the method suggested by

http://www.inspirel.com/articles/Ada_Python_Demo.html
This demo is rather simplistic and required some slight extension to be useful, mainly involving the passing of parameters to Python methods.

I now have developed a fairly extensive, though probably far from complete, binding based on the inspirel method.
An example of its use:
      Python.Initialize;
      MLP := Python.Import_File ("lesson_4cp");
      Python.Call (MLP, "classify", Train_X, Train_Y_1D, Test_X, Test_Y_1D);
      Python.Close_Module (MLP);
      Python.Finalize; 

where the Python.Call is to:
procedure Call (M    : Module; Function_Name : String;
                   A    : ML_Arrays_And_Matrices.Real_Float_Matrix;
                   B    : ML_Arrays_And_Matrices.Integer_Array;
                   C    : ML_Arrays_And_Matrices.Real_Float_Matrix;
                   D    : ML_Arrays_And_Matrices.Integer_Array);

I decided on the inspirel method as it seems fairly straightforward and requires no 3rd party packages.
It only involves the Python C Api interface, for example:
function PyImport_Import (Obj : PyObject) return PyObject;
   pragma Import (C, PyImport_Import, "PyImport_Import");

During my research I didn't come across many of the very interesting solutions mentioned in this conversation.