ddiruscio/logseq
1
0
Fork 0
Code Issues Pull Requests Actions Packages Projects Releases Wiki Activity

Auto saved by Logseq

Browse Source
This commit is contained in:
ddiruscio
2025-06-02 17:15:13 +02:00
commit d9ea3d552d
6279 changed files with 711145 additions and 0 deletions
Download Patch File Download Diff File Expand all files Collapse all files
pages/hls__Cardoso Silva et al_2020_Benchmarking Machine Learning Solutions in Production.md
+20
View File
@@ -0,0 +1,20 @@
file:: [Cardoso Silva et al_2020_Benchmarking Machine Learning Solutions in Production.pdf](file://C:\Users\david\Zotero\/storage/3MB7DRV3/Cardoso Silva et al_2020_Benchmarking Machine Learning Solutions in Production.pdf)
file-path:: file://C:\Users\david\Zotero\/storage/3MB7DRV3/Cardoso Silva et al_2020_Benchmarking Machine Learning Solutions in Production.pdf
- [:span]
ls-type:: annotation
hl-page:: 2
hl-color:: green
id:: 6447f5fb-1e12-4e25-b9d4-54e8d188ba81
hl-type:: area
hl-stamp:: 1682437626312
- As discussed before, there are already many tools available for monitoring the resources directly in the operating system, therefore it is not the point of our contribution to develop an alternative tool or library.
ls-type:: annotation
hl-page:: 4
hl-color:: green
id:: 6447f639-13d5-4671-8054-61868703ec44
- we focus on showing how a machine learning solution can be instrumented for monitoring the resources described in the previous section, with little effort from the developer, so that meaningful information can be obtained to help with the operational aspects of the ML solution.
ls-type:: annotation
hl-page:: 4
hl-color:: green
id:: 6447f644-2487-49d2-8084-4659640db981