sayzardfly51fly (@fly51fly)
FORESTLLM이라는 방법을 제안한 연구로, 대형 언어모델(LLM)을 활용해 랜덤 포레스트의 소샷(few-shot) 표 형식(tabular) 학습 성능을 크게 향상시키는 접근입니다. 논문은 LLM과 전통적 트리 기반 모델의 결합으로 표 데이터에서 적은 샷으로도 성능을 끌어올리는 기법과 실험 결과를 제시합니다. arXiv 공개(2026).
royalWhat are your favorite programs that specialize in working with tables? My use case: building human-readable matrices for documentation and reference. Not a database.
I don't want a typical Office program (Not Excel or Word or the FOSS equivalent.)
For example, OmniOutliner or Logseq are much better for outlining than Word etc. No, I'm not going to learn Emacs Org Mode.
Markdown tables are simple but clumsy.
I've used SQLite Browser to great effect for data., but not the right tool here.
What's actually good?
HabrЕсли не хватает памяти для процессинга модели SSAS: варианты решения проблемы
Всем привет! Меня зовут Николай, я DBA-разработчик SimbirSoft. Если вам приходилось иметь дело с табличной моделью данных SQL Server Analysis Services (SSAS), то вы наверняка знаете, что на сервере она работает только в режиме In-Memory и использует под свои процессы выделенную часть оперативной памяти. А когда памяти недостаточно для нормальной работы, то возникает системное сообщение о ее нехватке. В этой статье я кратко рассмотрел причины и общие стратегии по решению данной проблемы, а также рассказал о своем опыте на примере табличной модели объемом около 100 ГБ на MS SQL Server 2019 Ent. Погрузиться в чертоги
https://habr.com/ru/companies/simbirsoft/articles/932460/
#database_development #database_optimization #dba #ssas #tabular #tabular_data #SQL_Server_Analysis_Services
Matthias Zöchling#CSSence #AdventCalendar Day 17
Today’s entry happens to be my most recent article, which already made it into several newsletters.
»Character-based alignment«
https://cssence.com/2024/text-align-decimal/
Pito Salas
💧🌏 Greg CocksUSDA Gridded Soil Survey For USA, Updated Dec. ‘23
--
https://www.nrcs.usda.gov/resources/data-and-reports/gridded-national-soil-survey-geographic-database-gnatsgo <-- link to open data datasets
--
#GIS #spatial #mapping #opendata #USA #CONUS #Alaska #territories #soils #raster #tabular #gNATSGO #newrelease #STATSGO2 #RSS #USDA #NRCS #nationwide
@USDA @NRCS
--
https://www.nrcs.usda.gov/resources/data-and-reports/gridded-national-soil-survey-geographic-database-gnatsgo <-- link to open data datasets
--
#GIS #spatial #mapping #opendata #USA #CONUS #Alaska #territories #soils #raster #tabular #gNATSGO #newrelease #STATSGO2 #RSS #USDA #NRCS #nationwide
@USDA @NRCS
Gridded National Soil Survey Geographic Database (gNATSGO) | Natural Resources Conservation Service
The gridded National Soil Survey Geographic Database (gNATSGO) is a USDA-NRCS Soil & Plant Science Division (SPSD) composite database that provides complete coverage of the best available soils information for all areas of the United States and Island Territories.
Hacker NewsKart: DVC for geospatial and tabular data. Git for GIS
https://kartproject.org/
#ycombinator #Kart #distributed #version_control #GIS #geospatial #tabular #data #git #version #control #repositories #repo #CLI #databases #database #open_source #koordinates
https://kartproject.org/
#ycombinator #Kart #distributed #version_control #GIS #geospatial #tabular #data #git #version #control #repositories #repo #CLI #databases #database #open_source #koordinates
GripNews🌘 GitHub - sapientml/sapientml: Tabular Data的生成AutoML
➤ SapientML: Synthesizing Machine Learning Pipelines by Learning from Human-Writen Solutions
✤ https://github.com/sapientml/sapientml
SapientML是一種AutoML技術，可以從現有數據集和人工編寫的管道中學習，並為新數據集上的預測任務高效生成高質量的管道。
+ 這是一個很有用的工具，可以幫助我們更快地生成高質量的管道。
+ 從GitHub上獲取這種技術真是太方便了！
#AutoML #GitHub #Tabular Data
➤ SapientML: Synthesizing Machine Learning Pipelines by Learning from Human-Writen Solutions
✤ https://github.com/sapientml/sapientml
SapientML是一種AutoML技術，可以從現有數據集和人工編寫的管道中學習，並為新數據集上的預測任務高效生成高質量的管道。
+ 這是一個很有用的工具，可以幫助我們更快地生成高質量的管道。
+ 從GitHub上獲取這種技術真是太方便了！
#AutoML #GitHub #Tabular Data
TabularRounding out a trifecta of AWS engines that now work with Tabular-managed #ApacheIceberg tables is our latest episode of Tabular Solutions highlighting AWS EMR. Tabular co-founder Jason Reid and Tabular Sr. Developer Advocate Shawn Gordon show how quick and easy it is to do. Previously we illustrated Amazon Athena and Amazon Redshift.
#iceberg #datalake #apacheiceberg #datalakehouse #emr #tabular #dataengineering
https://youtu.be/aBiL3pFtf1A
Giskard