HI all, thanks for joining. I lost connection and had to drop off. But I will compile the notes.
Our next call is actually Jul 9 for the stats paper despite what I claim on the call as I had forgotten we had set out a schedule. AD and Reinforcement learning is now scheduled for Aug 13 call.


Jul 9, 2020 02:00 PM: Stats paper
Aug 13, 2020 02:00 PM: Differential calculu+ Reinforcement Learning

For the stats paper, Richard do you have the latest edition of the paper you show? If you are still good with this plan of presenting on Jul9 the full stats paper, then I would forward that to the following possible interested parties to see about their availability and make July 9 a joint SG19 and SG6 session.
Yolanta, Walter, Eric, and Lisa

Thanks.

On Wed, Jun 10, 2020 at 12:50 PM Michael Wong <fraggamuffin@gmail.com> wrote:

SG19 Machine Learning 2 hours
Hi,

Michael Wong is inviting you to a scheduled Zoom meeting.

Topic: SG19 monthly Apr 2020-Oct 2020
Time:  02:00 PM Eastern Time (US and Canada) 18:00 UTC
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Agenda:

1. Opening and introductions

1.1 Roll call of participants

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:

    Apr 9, 2020 02:00 PM: stats paper- DONE
    May 14, 2020 02:00 PM: Stats paper replaces Differential calculus  DONE
    Jun 11, 2020 02:00 PM: Graph paper-
    Jul 9, 2020 02:00 PM: Stats paper
    Aug 13, 2020 02:00 PM: Differential calculus
    Sep 10, 2020 02:00 PM: Graph paper
    Oct 8, 2020 02:00 PM: stats paper

ISO meeting status

CPPCON status

2.2 Paper reviews

2.2.1: ML topics

Larry Lewis Jorge Silva

Reinforcement Learning proposal:


Phil Ratsloff et al

P1709R1: Graph Proposal for Machine Learning

P1709R3:
https://docs.google.com/document/d/1kLHhbSTX7j0tPeTYECQFSNx3R35Mu3xO5_dyYdRy4dM/edit?usp=sharing

https://docs.google.com/document/d/1QkfDzGyfNQKs86y053M0YHOLP6frzhTJqzg1Ug_vkkE/edit?usp=sharing
<
https://nam02.safelinks.protection.outlook.com/?url=https%3A%2F%2Fdocs.google.com%2Fdocument%2Fd%2F1QkfDzGyfNQKs86y053M0YHOLP6frzhTJqzg1Ug_vkkE%2Fedit%3Fusp%3Dsharing&data=02%7C01%7CPhil.Ratzloff%40sas.com%7C729b2cf8502641e4ae5e08d749064578%7Cb1c14d5c362545b3a430
9552373a0c2f%7C0%7C0%7C637058163592253027&sdata=4UQm8tqrcUbiZsr200UMrOaEModJYGNgP1oNot9PbAg%3D&reserved=0>

I’ve been working on the prototype implementation to get it building in both Windows & Linux, using CMake & the Conan package manager:

  1. All unit tests complete successfully for both MSVC & gcc10
  2. All bgl17 code has been removed from the repository. It uses a cloned bgl17 directory (ENABLE_BGL17 cmake option).
  3. Catch2 is now being used instead of Google Test for unit testing
  4. A simple unit test demonstrates the use of the library’s dfs_vertex_range iteration using bgl17’s vov graph. This can be seen in test/test_vov_adaptor.cpp.
    1. There were a few changes needed in bgl17 to accommodate this (I haven’t pushed these changes)

                                                               i.      I added an inner_container type definition to vov

                                                             ii.      There were 3 places where I added #ifdef _MSC_VER to disable linux-specific code, far fewer than before.

    1. Adapting vov requires the following

                                                               i.      An adaptor graph class to map the vov types to expected types

                                                             ii.      Function overloads that uses the adaptor graph class as a template argument

  1. Added graph API functions to avoid name ambiguity with begin(g) & end(g) for vertices in the dfs & bfs range iterators.
    1. vertex_begin(g), vertex_end(g)
    2. edge_begin(g,u), edge_end(g,u)

 

I haven’t written the code to support value(uv) function to get edge properties for vov yet.

These changes should bring the library much closer to a repeatable cross-platform build and you’re welcome to try it.

I’ve pushed the code to the master branch at https://github.com/pratzl/graph

 

The next SG19 meeting is 6/11/20 (12d from now) and I have some things in mind to work on. I’ve been focused on the prototype to make it more accessible for all the authors and I need to switch back to the paper and give it more attention.

  1. Paper
    1. Complete algorithm descriptions & examples:

                                                               i.      Connected Components

                                                             ii.      Strongly Connected components

                                                           iii.      Bi-connected Components

                                                           iv.      Articulation Points

    1. Data structures

                                                               i.      Add section on graph adaptors

  1. algorithm implementations
    1. connected & strongly connected components unit tests
    2. [bi-connected components]
    3. [articulation points]
  2. bgl17 adaptors
    1. vov adaptor: implement value(edge), add dfs_edge_range tests
    2. implement a compressed adaptor
  3. other prototype features
    1. Support Clang10 using the range-v3 concepts macros
  4. Documentation
    1. Add explicit description of how to install and use the library


Richard Dosselman et al

P1708R1: Math proposal for Machine Learning
https://docs.google.com/document/d/1VAgcyvL1riMdGz7tQIT9eTtSSfV3CoCEMWKk8GvVuFY/edit

> 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




Differentiable Programing by Marco Foco

P1416R1: SG19 - Linear Algebra for Data Science and Machine Learning
https://docs.google.com/document/d/1IKUNiUhBgRURW-UkspK7fAAyIhfXuMxjk7xKikK4Yp8/edit#heading=h.tj9hitg7dbtr

P1415: Machine Learning Layered list
https://docs.google.com/document/d/1elNFdIXWoetbxjO1OKol_Wj8fyi4Z4hogfj5tLVSj64/edit#heading=h.tj9hitg7dbtr

2.2.2 SG14 Linear Algebra progress:
Different layers of proposal
https://docs.google.com/document/d/1poXfr7mUPovJC9ZQ5SDVM_1Nb6oYAXlK_d0ljdUAtSQ/edit

2.2.3 any other proposal for reviews?

2.3 Other Papers and proposals

2.5 Future F2F meetings:

2.6 future C++ Standard meetings:
https://isocpp.org/std/meetings-and-participation/upcoming-meetings

-2020-02-10 to 15: Prague, Czech Republic

- 2020-06-01 to 06: Bulgaria
- 2020-11: (New York, tentative)
- 2021-02-22 to 27: Kona, HI, USA

3. Any other business

New reflector

http://lists.isocpp.org/mailman/listinfo.cgi/sg19

Old Reflector
https://groups.google.com/a/isocpp.org/forum/#!newtopic/sg19
<https://groups.google.com/a/isocpp.org/forum/?fromgroups=#!forum/sg14>

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

TBD

5.2 Future meeting

    Jul 9, 2020 02:00 PM
    Aug 13, 2020 02:00 PM
    Sep 10, 2020 02:00 PM
    Oct 8, 2020 02:00 PM