Date: Fri, 10 Jun 2022 11:44:43 -0400
On Wed, Jun 8, 2022 at 3:15 PM Michael Wong <fraggamuffin_at_[hidden]> wrote:
> Hi all, SG19 Machine Learning meeting will focus on graphs. Michael Wong
> is inviting you to a scheduled Zoom meeting.
>
> Topic: SG19 monthly
> Time: 02:00 PM Eastern Time (US and Canada)
> Every month on the Second Thu,
>
>
> Join from PC, Mac, Linux, iOS or Android:
>
> https://iso.zoom.us/j/93084591725?pwd=K3QxZjJlcnljaE13ZWU5cTlLNkx0Zz09
> Password: 035530
>
> Or iPhone one-tap :
> US: +13017158592,,93084591725# or +13126266799,,93084591725#
> Or Telephone:
> Dial(for higher quality, dial a number based on your current location):
> US: +1 301 715 8592 or +1 312 626 6799 or +1 346 248 7799 or +1
> 408 638 0968 or +1 646 876 9923 or +1 669 900 6833 or +1 253 215 8782
> or 877 853 5247 (Toll Free)
> Meeting ID: 930 8459 1725
> Password: 035530
> International numbers available: https://iso.zoom.us/u/agewu4X97
>
> Or Skype for Business (Lync):
> https://iso.zoom.us/skype/93084591725
>
> Agenda:
>
> 1. Opening and introductions
>
> The ISO Code of conduct:
> https://www.iso.org/files/live/sites/isoorg/files/store/en/PUB100397.pdf
>
> IEC Code of Conduct:
>
> https://www.iec.ch/basecamp/iec-code-conduct-technical-work
>
> ISO patent policy.
>
>
> https://isotc.iso.org/livelink/livelink/fetch/2000/2122/3770791/Common_Policy.htm?nodeid=6344764&vernum=-2
>
> The WG21 Practices and Procedures and Code of Conduct:
>
> https://isocpp.org/std/standing-documents/sd-4-wg21-practices-and-procedures
>
> 1.1 Roll call of participants
>
> Chris Ryan, Jens Maurer, Kevin Dewesee, Ozan Irsoy, Phil Ratzloff, Rene
> Rivera, Richard Dosselment, Scott McMillan, MIchael Wong, ka ming chan,
> Will wray
>
> 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:
>
>
>
> June 9, 2022 02:00 PM ET: Graph
> Jul 14, 2022 02:00 PM ET: Matrix, RL and DC
> Aug 11, 2022 02:00 PM ET: Stats
> Sep 13, 2022 02:00 PM ET: Graph
> Oct 12, 2022 02:00 PM ET: Matrix RL/DC
>
> ISO meeting status
>
> future C++ Std meetings
>
https://cppcon.org/cfs2022/ The submissions deadline is June 24th, with
decisions sent by July 31st.
>
>
> 2.2 Paper reviews
>
> 2.2.1: ML topics
>
> 2.2.1.1 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.
>
>
> https://docs.google.com/document/d/1OpH-xxRri7tJTtJJIZTYmSHkkrZJkdBwm9zJ7LqolfQ/edit?usp=sharing
>
>
> edgeless view
2nd set of functions are for edges on a specific vertex
not supporting due to pairing down so it is returning incoming edges as well
neighbors now instead of adjacency and get source_id and target_id
undirected incidence graph
concept bounds polymorphism on an algo, or like an abstract base class: the
undirected incidence and directed incidence graph, the algo used should be
well defined - when algo gets target_id, in an undirected graph, it goes to
a specific value which is well-defined, but the physical storage can be
element 0 source, and 1 is the target for directed graph, but undirected
element 0 or 1 could be source or target
undirected graph needs a source-incidence graph (both a source and target
id on an edge), directed vs undirected through emulation?
do we need to store source id?
undirected edge value
undirected graph needs a source and target since we need to know where we
came from
different names for directed vs undirected or should be unordered on the
edge
terminology should reflect the math
better term? unordered edge/ vertices, as long as uid and vid comes out in
the result
what's returned by edge list? edgeless G, E
can now port NW graph algorithms as interface is very similar
SG14 at cppcon?
>
> P1709R3:
>
> https://docs.google.com/document/d/1kLHhbSTX7j0tPeTYECQFSNx3R35Mu3xO5_dyYdRy4dM/edit?usp=sharing
>
>
> https://docs.google.com/document/d/1QkfDzGyfNQKs86y053M0YHOLP6frzhTJqzg1Ug_vkkE/edit?usp=sharing
>
> <http://www.open-std.org/jtc1/sc22/wg21/docs/papers/2020/p2119r0.html>
>
> <
>
> https://docs.google.com/document/d/175wIm8o4BNGti0WLq8U6uZORegKVjmnpfc-_E8PoGS0/edit?ts=5fff27cd#heading=h.9ogkehmdmtel
> *>*
>
> Array copy semantics:
> array copy-semantics paper P1997 "Relaxing Restrictions on Arrays",
> https://wg21.link/p1997
>
> Stats feedback:
>
> P2376R0
> <http://www.open-std.org/jtc1/sc22/wg21/docs/papers/2021/p2376r0.pdf>
> Comments
> on Simple Statistical Functions (p1708r4): Contracts, Exceptions and
> Special cases Johan Lundberg
>
More simple stats: added missing stats: median and mode because they are
more involved
weighted percentile, may not have weighted variant of this
looked at python which has bivariate values
might try to extend what we have to support these multivariate stats to be
on par with python
prediction needs regression
return a start and end iterator
JM: template argument of subrange can be omitted as it is defaulted
what if looking for n modes in n range: allow user to specify how many modes
JM: why do those 2 ranges need to be same type: value type needs to be
friends; yes will make separate
might also need constraints on relationship of value type and allow
arithmetic
dof is passed 1 and it will subtract just like python
look at newer ranges algo do
accumulate might need a zipview if precondition has the same length
instead of univariate, bivariate we can condense that down to one
range end iterator is always exclusive : it points to one past the last
thing and not second element
mode is sorted
>
> 2.2.1.2 Reinforcement Learning Larry Lewis Jorge Silva
>
> Reinforcement Learning proposal:
>
> 2.2.1.3 Differential Calculus:
>
>
> https://docs.google.com/document/d/175wIm8o4BNGti0WLq8U6uZORegKVjmnpfc-_E8PoGS0/edit?ts=5fff27cd#heading=h.9ogkehmdmtel
>
> 2.2.1.4: Stats paper
>
> Current github
>
> https://github.com/cplusplus/papers/issues/475
>
> https://github.com/cplusplus/papers/issues/979
>
> Stats review Richard Dosselman et al
>
> http://www.open-std.org/jtc1/sc22/wg21/docs/papers/2021/p1708r4.pdf
>
> Feedback from Johan Lundberg and Oleksandr Korval
>
> https://isocpp.org/files/papers/D2376R0.pdf
>
> P1708R3: Math proposal for Machine Learning: 3rd review
>
> PXXXX: combinatorics: 1st Review
>
> *> std.org/jtc1/sc22/wg21/docs/papers/2020/p1708r2
> <http://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
> <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
> <http://www.open-std.org/jtc1/sc22/wg21/docs/papers/2020/p2119r0.html>*
>
>
> 2.2.1.4: Matrix paper
>
> 2.2.3 any other proposal for reviews?
>
> 2.3 Other Papers and proposals
>
> 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
>
> 2.5 Future F2F meetings:
>
> 2.6 future C++ Standard meetings:
> https://isocpp.org/std/meetings-and-participation/upcoming-meetings
>
> None
>
> 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
>
>
> 5.2 Future meeting
>
>
>
>
> May 12, 2022 02:00 PM ET: Stats
> June 9, 2022 02:00 PM ET: Graph
> Jul 14, 2022 02:00 PM ET: Matrix, RL and DC
> Aug 11, 2022 02:00 PM ET: Stats
> Sep 13, 2022 02:00 PM ET: Graph
> Oct 12, 2022 02:00 PM ET: Matrix RL/DC
>
> Hi all, SG19 Machine Learning meeting will focus on graphs. Michael Wong
> is inviting you to a scheduled Zoom meeting.
>
> Topic: SG19 monthly
> Time: 02:00 PM Eastern Time (US and Canada)
> Every month on the Second Thu,
>
>
> Join from PC, Mac, Linux, iOS or Android:
>
> https://iso.zoom.us/j/93084591725?pwd=K3QxZjJlcnljaE13ZWU5cTlLNkx0Zz09
> Password: 035530
>
> Or iPhone one-tap :
> US: +13017158592,,93084591725# or +13126266799,,93084591725#
> Or Telephone:
> Dial(for higher quality, dial a number based on your current location):
> US: +1 301 715 8592 or +1 312 626 6799 or +1 346 248 7799 or +1
> 408 638 0968 or +1 646 876 9923 or +1 669 900 6833 or +1 253 215 8782
> or 877 853 5247 (Toll Free)
> Meeting ID: 930 8459 1725
> Password: 035530
> International numbers available: https://iso.zoom.us/u/agewu4X97
>
> Or Skype for Business (Lync):
> https://iso.zoom.us/skype/93084591725
>
> Agenda:
>
> 1. Opening and introductions
>
> The ISO Code of conduct:
> https://www.iso.org/files/live/sites/isoorg/files/store/en/PUB100397.pdf
>
> IEC Code of Conduct:
>
> https://www.iec.ch/basecamp/iec-code-conduct-technical-work
>
> ISO patent policy.
>
>
> https://isotc.iso.org/livelink/livelink/fetch/2000/2122/3770791/Common_Policy.htm?nodeid=6344764&vernum=-2
>
> The WG21 Practices and Procedures and Code of Conduct:
>
> https://isocpp.org/std/standing-documents/sd-4-wg21-practices-and-procedures
>
> 1.1 Roll call of participants
>
> Chris Ryan, Jens Maurer, Kevin Dewesee, Ozan Irsoy, Phil Ratzloff, Rene
> Rivera, Richard Dosselment, Scott McMillan, MIchael Wong, ka ming chan,
> Will wray
>
> 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:
>
>
>
> June 9, 2022 02:00 PM ET: Graph
> Jul 14, 2022 02:00 PM ET: Matrix, RL and DC
> Aug 11, 2022 02:00 PM ET: Stats
> Sep 13, 2022 02:00 PM ET: Graph
> Oct 12, 2022 02:00 PM ET: Matrix RL/DC
>
> ISO meeting status
>
> future C++ Std meetings
>
https://cppcon.org/cfs2022/ The submissions deadline is June 24th, with
decisions sent by July 31st.
>
>
> 2.2 Paper reviews
>
> 2.2.1: ML topics
>
> 2.2.1.1 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.
>
>
> https://docs.google.com/document/d/1OpH-xxRri7tJTtJJIZTYmSHkkrZJkdBwm9zJ7LqolfQ/edit?usp=sharing
>
>
> edgeless view
2nd set of functions are for edges on a specific vertex
not supporting due to pairing down so it is returning incoming edges as well
neighbors now instead of adjacency and get source_id and target_id
undirected incidence graph
concept bounds polymorphism on an algo, or like an abstract base class: the
undirected incidence and directed incidence graph, the algo used should be
well defined - when algo gets target_id, in an undirected graph, it goes to
a specific value which is well-defined, but the physical storage can be
element 0 source, and 1 is the target for directed graph, but undirected
element 0 or 1 could be source or target
undirected graph needs a source-incidence graph (both a source and target
id on an edge), directed vs undirected through emulation?
do we need to store source id?
undirected edge value
undirected graph needs a source and target since we need to know where we
came from
different names for directed vs undirected or should be unordered on the
edge
terminology should reflect the math
better term? unordered edge/ vertices, as long as uid and vid comes out in
the result
what's returned by edge list? edgeless G, E
can now port NW graph algorithms as interface is very similar
SG14 at cppcon?
>
> P1709R3:
>
> https://docs.google.com/document/d/1kLHhbSTX7j0tPeTYECQFSNx3R35Mu3xO5_dyYdRy4dM/edit?usp=sharing
>
>
> https://docs.google.com/document/d/1QkfDzGyfNQKs86y053M0YHOLP6frzhTJqzg1Ug_vkkE/edit?usp=sharing
>
> <http://www.open-std.org/jtc1/sc22/wg21/docs/papers/2020/p2119r0.html>
>
> <
>
> https://docs.google.com/document/d/175wIm8o4BNGti0WLq8U6uZORegKVjmnpfc-_E8PoGS0/edit?ts=5fff27cd#heading=h.9ogkehmdmtel
> *>*
>
> Array copy semantics:
> array copy-semantics paper P1997 "Relaxing Restrictions on Arrays",
> https://wg21.link/p1997
>
> Stats feedback:
>
> P2376R0
> <http://www.open-std.org/jtc1/sc22/wg21/docs/papers/2021/p2376r0.pdf>
> Comments
> on Simple Statistical Functions (p1708r4): Contracts, Exceptions and
> Special cases Johan Lundberg
>
More simple stats: added missing stats: median and mode because they are
more involved
weighted percentile, may not have weighted variant of this
looked at python which has bivariate values
might try to extend what we have to support these multivariate stats to be
on par with python
prediction needs regression
return a start and end iterator
JM: template argument of subrange can be omitted as it is defaulted
what if looking for n modes in n range: allow user to specify how many modes
JM: why do those 2 ranges need to be same type: value type needs to be
friends; yes will make separate
might also need constraints on relationship of value type and allow
arithmetic
dof is passed 1 and it will subtract just like python
look at newer ranges algo do
accumulate might need a zipview if precondition has the same length
instead of univariate, bivariate we can condense that down to one
range end iterator is always exclusive : it points to one past the last
thing and not second element
mode is sorted
>
> 2.2.1.2 Reinforcement Learning Larry Lewis Jorge Silva
>
> Reinforcement Learning proposal:
>
> 2.2.1.3 Differential Calculus:
>
>
> https://docs.google.com/document/d/175wIm8o4BNGti0WLq8U6uZORegKVjmnpfc-_E8PoGS0/edit?ts=5fff27cd#heading=h.9ogkehmdmtel
>
> 2.2.1.4: Stats paper
>
> Current github
>
> https://github.com/cplusplus/papers/issues/475
>
> https://github.com/cplusplus/papers/issues/979
>
> Stats review Richard Dosselman et al
>
> http://www.open-std.org/jtc1/sc22/wg21/docs/papers/2021/p1708r4.pdf
>
> Feedback from Johan Lundberg and Oleksandr Korval
>
> https://isocpp.org/files/papers/D2376R0.pdf
>
> P1708R3: Math proposal for Machine Learning: 3rd review
>
> PXXXX: combinatorics: 1st Review
>
> *> std.org/jtc1/sc22/wg21/docs/papers/2020/p1708r2
> <http://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
> <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
> <http://www.open-std.org/jtc1/sc22/wg21/docs/papers/2020/p2119r0.html>*
>
>
> 2.2.1.4: Matrix paper
>
> 2.2.3 any other proposal for reviews?
>
> 2.3 Other Papers and proposals
>
> 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
>
> 2.5 Future F2F meetings:
>
> 2.6 future C++ Standard meetings:
> https://isocpp.org/std/meetings-and-participation/upcoming-meetings
>
> None
>
> 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
>
>
> 5.2 Future meeting
>
>
>
>
> May 12, 2022 02:00 PM ET: Stats
> June 9, 2022 02:00 PM ET: Graph
> Jul 14, 2022 02:00 PM ET: Matrix, RL and DC
> Aug 11, 2022 02:00 PM ET: Stats
> Sep 13, 2022 02:00 PM ET: Graph
> Oct 12, 2022 02:00 PM ET: Matrix RL/DC
>
Received on 2022-06-10 15:44:56