From mboxrd@z Thu Jan  1 00:00:00 1970
X-Spam-Checker-Version: SpamAssassin 3.4.6 (2021-04-09) on
	ip-172-31-65-14.ec2.internal
X-Spam-Level: 
X-Spam-Status: No, score=0.8 required=3.0 tests=BAYES_50,FREEMAIL_FROM,
	T_SCC_BODY_TEXT_LINE autolearn=ham autolearn_force=no version=3.4.6
X-Received: by 2002:a37:9607:0:b0:6ff:ca92:2678 with SMTP id y7-20020a379607000000b006ffca922678mr1752258qkd.612.1673229410003;
        Sun, 08 Jan 2023 17:56:50 -0800 (PST)
X-Received: by 2002:a05:6214:5297:b0:4c7:39a8:d333 with SMTP id
 kj23-20020a056214529700b004c739a8d333mr4304117qvb.0.1673229409786; Sun, 08
 Jan 2023 17:56:49 -0800 (PST)
Path: eternal-september.org!reader01.eternal-september.org!usenet.blueworldhosting.com!feed1.usenet.blueworldhosting.com!peer03.iad!feed-me.highwinds-media.com!news.highwinds-media.com!news-out.google.com!nntp.google.com!postnews.google.com!google-groups.googlegroups.com!not-for-mail
Newsgroups: comp.lang.ada
Date: Sun, 8 Jan 2023 17:56:49 -0800 (PST)
In-Reply-To: <53481976-aebc-4d6d-bb8f-aa4f63f0b01b@googlegroups.com>
Injection-Info: google-groups.googlegroups.com; posting-host=118.208.175.58; posting-account=d51RWwoAAADvR-x0zYAtT9z3CRxT1eXo
NNTP-Posting-Host: 118.208.175.58
References: <53481976-aebc-4d6d-bb8f-aa4f63f0b01b@googlegroups.com>
User-Agent: G2/1.0
MIME-Version: 1.0
Message-ID: <a48306e3-c84f-488f-97a0-177e49a2d9e1n@googlegroups.com>
Subject: Re: Artificial Intelligence libraries in ADA
From: Roger Mc <rogermcm2@gmail.com>
Injection-Date: Mon, 09 Jan 2023 01:56:49 +0000
Content-Type: text/plain; charset="UTF-8"
X-Received-Bytes: 2884
Xref: reader01.eternal-september.org comp.lang.ada:64780
List-Id: <comp.lang.ada>

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.