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[SG19] SG19 June 11 monthly call

From: Michael Wong <fraggamuffin_at_[hidden]>
Date: Wed, 10 Jun 2020 12:50:58 -0400
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
    Every month on the Second Thu, until Oct 8, 2020, 7 occurrence(s)
    Apr 9, 2020 02:00 PM 18:00 UTC
    May 14, 2020 02:00 PM 18:00 UTC
    Jun 11, 2020 02:00 PM 18:00 UTC
    Jul 9, 2020 02:00 PM 18:00 UTC
    Aug 13, 2020 02:00 PM 18:00 UTC
    Sep 10, 2020 02:00 PM 18:00 UTC
    Oct 8, 2020 02:00 PM 18:00 UTC
    Please download and import the following iCalendar (.ics) files to your
calendar system.
    Monthly:
https://iso.zoom.us/meeting/v50sceqopj4pyLdu5Mx1orYgnZZUj0RNqw/ics?icsToken=98tyKuuhrz0pGtyQs1-CArUqE53ibvG1kmhirrYIsQe0DDJqZQ3MDNdIYoBRAc-B

Join from PC, Mac, Linux, iOS or Android:
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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

<http://www.open-std.org/jtc1/sc22/wg21/docs/papers/2020/p2119r0.html> 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

Received on 2020-06-10 11:54:22