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_at_[hidden]>
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
> Every month on the Second Thu, until Oct 8, 2020, 7 occurrence(s)
> Apr 9, 2020 02:00 PM 18:00 UTC
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> Please download and import the following iCalendar (.ics) files to
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> Monthly:
>
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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
>