AlexanderSaydakov merged PR #10:
URL: https://github.com/apache/datasketches-go/pull/10
--
This is an automated message from the Apache Git Service.
To respond to the message, please log on to GitHub and use the
URL above to go to the specific comment.
To unsubscribe, e-mail: dev-unsubscr...@
AlexanderSaydakov merged PR #9:
URL: https://github.com/apache/datasketches-go/pull/9
--
This is an automated message from the Apache Git Service.
To respond to the message, please log on to GitHub and use the
URL above to go to the specific comment.
To unsubscribe, e-mail: dev-unsubscr...@da
freakyzoidberg commented on PR #10:
URL: https://github.com/apache/datasketches-go/pull/10#issuecomment-1879280458
(may want to merge https://github.com/apache/datasketches-go/pull/9 before -
this branch is based on top of it)
--
This is an automated message from the Apache Git Service.
T
freakyzoidberg opened a new pull request, #10:
URL: https://github.com/apache/datasketches-go/pull/10
Add documentation and readme to top level and subpackages
--
This is an automated message from the Apache Git Service.
To respond to the message, please log on to GitHub and use the
URL ab
AlexanderSaydakov commented on PR #157:
URL:
https://github.com/apache/datasketches-website/pull/157#issuecomment-1879264163
@PavelVesely you may want to comment here:
https://github.com/apache/datasketches-cpp/issues/416
--
This is an automated message from the Apache Git Service.
To
PavelVesely commented on PR #157:
URL:
https://github.com/apache/datasketches-website/pull/157#issuecomment-1879258758
As for t-digest vs. KLL or ReqSketch comparison, we have [a
paper](https://arxiv.org/abs/2102.09299) with Graham and people from Splunk. I
think t-digest was not updated m
AlexanderSaydakov merged PR #157:
URL: https://github.com/apache/datasketches-website/pull/157
--
This is an automated message from the Apache Git Service.
To respond to the message, please log on to GitHub and use the
URL above to go to the specific comment.
To unsubscribe, e-mail: dev-unsub
AlexanderSaydakov opened a new pull request, #157:
URL: https://github.com/apache/datasketches-website/pull/157
This study is not relevant anymore. t-Digest code improved since then, and
comparing with KLL was not the best idea. Now we have REQ sketch, which seems
to be a better candidate f
jmalkin opened a new issue, #25:
URL: https://github.com/apache/datasketches-python/issues/25
Most/all our methods have docstrings, but @leerho commented to me at some
point that we don't have the larger class descriptions anywhere. We obviously
need to fix that.
Since docstrings at
jmalkin commented on issue #20:
URL:
https://github.com/apache/datasketches-python/issues/20#issuecomment-1879173287
With #24 , we are now officially on Nanobind
--
This is an automated message from the Apache Git Service.
To respond to the message, please log on to GitHub and use the
URL
+1
- looked at the very simple change since 5.0.1
- checked GPG signature and SHA512 sum
- "cmake", "make" and "make test" successful
On Fri, Jan 5, 2024 at 6:28 AM Charlie Dickens
wrote:
> +1
>
> Checked signing keys and shasum
> built and ran unit tests that all passed on mac os 13.6.3
>
>
>
jmalkin closed issue #20: nanobind vs pybind11
URL: https://github.com/apache/datasketches-python/issues/20
--
This is an automated message from the Apache Git Service.
To respond to the message, please log on to GitHub and use the
URL above to go to the specific comment.
To unsubscribe, e-ma
jmalkin merged PR #24:
URL: https://github.com/apache/datasketches-python/pull/24
--
This is an automated message from the Apache Git Service.
To respond to the message, please log on to GitHub and use the
URL above to go to the specific comment.
To unsubscribe, e-mail: dev-unsubscr...@datask
jmalkin opened a new pull request, #24:
URL: https://github.com/apache/datasketches-python/pull/24
Previous PR was from my fork of the repo into a branch here. This is for the
final move to main.
--
This is an automated message from the Apache Git Service.
To respond to the message, pleas
jmalkin commented on PR #23:
URL:
https://github.com/apache/datasketches-python/pull/23#issuecomment-1879129894
@c-dickens I addressed the 50% degradation in density, and after trying a
bunch of stuff in vector_of_kll it's, well, still a small drop in performance.
But certainly for our cla
jmalkin merged PR #23:
URL: https://github.com/apache/datasketches-python/pull/23
--
This is an automated message from the Apache Git Service.
To respond to the message, please log on to GitHub and use the
URL above to go to the specific comment.
To unsubscribe, e-mail: dev-unsubscr...@datask
+1
Checked signing keys and shasum
built and ran unit tests that all passed on mac os 13.6.3
On Fri, 5 Jan 2024 at 00:10, Jon Malkin wrote:
> Hello Apache DataSketches PMC and Community,
>
>
> This is a call for vote to release Apache DataSketches-cpp candidate
> version 5.0.2-rc1
>
>
> This i
c-dickens commented on PR #23:
URL:
https://github.com/apache/datasketches-python/pull/23#issuecomment-1878537519
Just to make sure I understand this correctly: the timings reported above
significantly better than those initially reported for nanobind? If we thought
the performance was mix
18 matches
Mail list logo
