On Wed, Feb 9, 2022 at 10:40 PM Michael Wong <fraggamuffin@gmail.com> wrote:
Hi all, SG19  Machine Learning 2 hours. 


Michael Wong is inviting you to a scheduled Zoom meeting.

Topic: SG19 monthly
Time: 02:00 PM Eastern Time (US and Canada) 1900 UTC Stats
    Every month on the Second Thu,

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1. Opening and introductions

The ISO Code of conduct:

IEC Code of Conduct:


ISO patent policy.


The WG21 Practices and Procedures and Code of Conduct:

1.1 Roll call of participants

Michael Wong, RIchard Dosselmann, Andrew Lumsdaine, Benjamin, Jens Maurer, Joe Sachs, Kevin Deweese, Luke D'alessandro,  Marco Foco, Ozan Irsoy, Phil Ratzloff, Rene Rivera, Scott Mcmillan
1.2 Adopt agenda

1.3 Approve minutes from previous meeting, and approve publishing
 previously approved minutes to ISOCPP.org

1.4 Action items from previous meetings

2. Main issues (125 min)

2.1 General logistics

Meeting plan, focus on one paper per meeting but does not preclude other paper updates:

    Jan 13, 2022 02:00 PM ET/1900 UTC: Review
    Feb 10, 2022 02:00 PM ET/1900 UTC: Stats
    Mar 10, 2022 02:00 PM ET/1900 UTC: Graph
     Apr   14, 2022 02:00 pm ET/1800 UTC:  Reinforcement Learning and Differential Calculus

ISO meeting status

future C++ Std meetings

2.2 Paper reviews

2.2.1: ML topics Graph Proposal Phil Ratsloff et al

Latest paper:

Here’s a link to the paper (different than the previous paper reviewed).
There are some additional updates I’m planning on making before the meeting.


 Phil presenting:
longer tuples, C++23 zip is needed
Ranges out, views in
with an edge, many algo just need a target key and no source key.
Concepts: Other functions
Data structures: direct_adjacency vector-> csr_graph
Additional Work: graph range, algorithms, physical edge list, concepts for views

this is more modern
write algo based on infrastructure the package provides using djkstra's shortest path; another category is to write temporary on each edge






Array copy semantics:
array copy-semantics paper P1997 "Relaxing Restrictions on Arrays",

Stats feedback:

on Simple Statistical Functions (p1708r4): Contracts, Exceptions and
Special cases Johan Lundberg Reinforcement Learning Larry Lewis Jorge Silva

Reinforcement Learning proposal: Differential Calculus:

https://docs.google.com/document/d/175wIm8o4BNGti0WLq8U6uZORegKVjmnpfc-_E8PoGS0/edit?ts=5fff27cd#heading=h.9ogkehmdmtel Stats paper

Current github



Stats review Richard Dosselman et al


Feedback from Johan Lundberg and Oleksandr Korval


P1708R3: Math proposal for Machine Learning: 3rd review

PXXXX: combinatorics: 1st Review

*> std.org/jtc1/sc22/wg21/docs/papers/2020/p1708r2
*> above is the stats paper that was reviewed in Prague*
*> http://wiki.edg.com/bin/view/Wg21prague/P1708R2SG19
*> Review Jolanta Polish feedback.*
*> http://www.open-std.org/jtc1/sc22/wg21/docs/papers/2020/p2119r0.html


Richard shows some new additions to stats
basic freestanding all the same drop the constraints of the concept
concern about your type may work in MS STL , but not GCC, or clang, it would be up to implementation STL; it is how complex number works: specified to work for float and double, long double and happens to work inline: then wording will follow std complex 

4.2 accumulator 
used to derive from a common parent leading to RTTI
but now no more virtual function, more parallelizable
copy/move/assignment constructors can be removed as language provides those but add statement to say it is copyable,etc

advise not use auto return type for trivial return type like result, please document rationale as well, 
moving away from abbreviations acc=accumulate/accumulator
maybe stats namespace under std

change typename to class

follow algorithm section of standard

Nan needs to be used for infinity

SG6 is scheduling every 2 weeks Thursday  3-4:30 pm starting Feb 17

2.2.3 any other proposal for reviews?

2.3 Other Papers and proposals

P1416R1: SG19 - Linear Algebra for Data Science and Machine Learning

P1415: Machine Learning Layered list

2.2.2 SG14 Linear Algebra progress:
Different layers of proposal

2.5 Future F2F meetings:

2.6 future C++ Standard meetings:


3. Any other business

New reflector


Old Reflector

Code and proposal Staging area

4. Review

4.1 Review and approve resolutions and issues [e.g., changes to SG's
working draft]

4.2 Review action items (5 min)

5. Closing process

5.1 Establish next agenda

5.2 Future meeting

    Jan 13, 2022 02:00 PM ET/1900 UTC: Review
    Feb 10, 2022 02:00 PM ET/1900 UTC: Stats
    Mar 10, 2022 02:00 PM ET/1900 UTC: Graph
    Apr   14, 2022 02:00 pm ET/1800 UTC:  Reinforcement Learning and Differential Calculus