duckdb-mlpack 0.0.3: macOS binaries, unit tests, more outputs
Bringing mlpack machine learning to duckdb SQL
dirk.eddelbuettel.com/blog/2025/11...
#duckdb #mlpack
Bringing mlpack machine learning to duckdb SQL
dirk.eddelbuettel.com/blog/2025/11...
#duckdb #mlpack
November 3, 2025 at 4:22 PM
duckdb-mlpack 0.0.3: macOS binaries, unit tests, more outputs
Bringing mlpack machine learning to duckdb SQL
dirk.eddelbuettel.com/blog/2025/11...
#duckdb #mlpack
Bringing mlpack machine learning to duckdb SQL
dirk.eddelbuettel.com/blog/2025/11...
#duckdb #mlpack
Dirk Eddelbuettel: duckdb-mlpack 0.0.3: macOS binaries, unit tests, more outputs A littler two weeks a short post announced the duckdb-mlpack as ‘ML quacks’: combining the powerful C++ machine ...
Origin | Interest | Match
Origin | Interest | Match
Dirk Eddelbuettel: duckdb-mlpack 0.0.3: macOS binaries, unit tests, more outputs
A littler two weeks a short post announced the duckdb-mlpack as ‘ML quacks’: combining the powerful C++ machine learning library mlpack with the amazing analytical database engine duckdb. About a week ago another short post covered first extensions. We actually followed-up with release 0.0.3 days later, and never posted about it so this short note catches up.
In release 0.0.3, we provide macOS binaries: following a known issue with one of the components, we apply a simple patch to enable the build. Next up are wasm and windows, if you know your way around these platforms please get in touch. Release 0.0.3 also added first unit tests, serializes the coefficients from the (regularized) linear regression into the output table.
See see two previous posts linked above for details and background, the repo for code, issues and more, and the extension page for more about this duckdb community extension.
This post by Dirk Eddelbuettel originated on his Thinking inside the box blog. If you like this or other open-source work I do, you can sponsor me at GitHub.
dirk.eddelbuettel.com
November 3, 2025 at 5:25 PM
Drop #724 (2025-10-31): If It Walks Like A Duck
The Friday Drop is just super ducky! It highlights the integration of mlpack as a DuckDB extension, enabling machine learning models like AdaBoost directly within SQL queries. Additionally, the Dash extension provides a user-friendly data […]
The Friday Drop is just super ducky! It highlights the integration of mlpack as a DuckDB extension, enabling machine learning models like AdaBoost directly within SQL queries. Additionally, the Dash extension provides a user-friendly data […]
Original post on mastodon.social
mastodon.social
October 31, 2025 at 1:13 PM
Drop #724 (2025-10-31): If It Walks Like A Duck
The Friday Drop is just super ducky! It highlights the integration of mlpack as a DuckDB extension, enabling machine learning models like AdaBoost directly within SQL queries. Additionally, the Dash extension provides a user-friendly data […]
The Friday Drop is just super ducky! It highlights the integration of mlpack as a DuckDB extension, enabling machine learning models like AdaBoost directly within SQL queries. Additionally, the Dash extension provides a user-friendly data […]
Dirk Eddelbuettel: duckdb-mlpack 0.0.2: mlpack is now a duckdb community extension A couple of days ago in a short post , I announced duckdb-mlpack as ‘ML quacks’: combining the powerful C++ ma...
Origin | Interest | Match
Origin | Interest | Match
Awakari App
awakari.com
October 26, 2025 at 2:41 PM
duckdb-mlpack 0.0.2: mlpack is now a duckdb community extension
Bringing mlpack machine learning to duckdb SQL
dirk.eddelbuettel.com/blog/2025/10...
Bringing mlpack machine learning to duckdb SQL
dirk.eddelbuettel.com/blog/2025/10...
October 26, 2025 at 1:58 PM
duckdb-mlpack 0.0.2: mlpack is now a duckdb community extension
Bringing mlpack machine learning to duckdb SQL
dirk.eddelbuettel.com/blog/2025/10...
Bringing mlpack machine learning to duckdb SQL
dirk.eddelbuettel.com/blog/2025/10...
Dirk Eddelbuettel: duckdb-mlpack 0.0.2: mlpack is now a duckdb community extension A couple of days ago in a short post , I announced duckdb-mlpack as ‘ML quacks’: combining the powerful C++ ma...
Origin | Interest | Match
Origin | Interest | Match
Awakari App
awakari.com
October 26, 2025 at 2:13 PM
ML quacks: Combining duckdb and mlpack
dirk.eddelbuettel.com/blog/2025/10...
A 'minimally viable product / demo' of extending @duckdb.org with #mlpack
dirk.eddelbuettel.com/blog/2025/10...
A 'minimally viable product / demo' of extending @duckdb.org with #mlpack
October 17, 2025 at 6:13 PM
ML quacks: Combining duckdb and mlpack
dirk.eddelbuettel.com/blog/2025/10...
A 'minimally viable product / demo' of extending @duckdb.org with #mlpack
dirk.eddelbuettel.com/blog/2025/10...
A 'minimally viable product / demo' of extending @duckdb.org with #mlpack
I used the GoLang Bindings for MLpack and any chance to use the MLPack in RUST 🦀 or are there any bindings available. @eddelbuettel.com . Thank you for this information.
October 16, 2025 at 6:05 AM
I used the GoLang Bindings for MLpack and any chance to use the MLPack in RUST 🦀 or are there any bindings available. @eddelbuettel.com . Thank you for this information.
“It’s hard to find funding for docs & maintenance. Without it, code collapses under technical debt. NumFOCUS helps us move forward.” — Ryan Curtin, mlpack See what else he says at: youtu.be/PrIgt0Pqi9M
Back the Stack: bit.ly/3HPryqN
Back the Stack: bit.ly/3HPryqN
Open Source Spotlight: Ryan Curtin from mlpack
YouTube video by NumFOCUS
youtu.be
September 4, 2025 at 7:10 PM
“It’s hard to find funding for docs & maintenance. Without it, code collapses under technical debt. NumFOCUS helps us move forward.” — Ryan Curtin, mlpack See what else he says at: youtu.be/PrIgt0Pqi9M
Back the Stack: bit.ly/3HPryqN
Back the Stack: bit.ly/3HPryqN
Updates on CRAN: apportion (0.0.2), censable (0.0.8), dCUR (1.0.2), fec16 (0.1.5), gdldata (0.2), iotables (0.9.4), meta (8.2-1), mlpack (4.6.3), naijR (0.6.3)
September 1, 2025 at 9:02 PM
Updates on CRAN: apportion (0.0.2), censable (0.0.8), dCUR (1.0.2), fec16 (0.1.5), gdldata (0.2), iotables (0.9.4), meta (8.2-1), mlpack (4.6.3), naijR (0.6.3)
Updates on CRAN: bibliometrix (5.0.0), changepointGA (0.1.1), cpp11armadillo (0.5.2), gglinedensity (0.2.0), mirai (2.3.0), mlpack (4.6.2), nzilbb.labbcat (1.4-0), surveytable (0.9.8), tinyplot (0.4.0), usmapdata (0.5.0)
May 23, 2025 at 2:45 AM
Updates on CRAN: bibliometrix (5.0.0), changepointGA (0.1.1), cpp11armadillo (0.5.2), gglinedensity (0.2.0), mirai (2.3.0), mlpack (4.6.2), nzilbb.labbcat (1.4-0), surveytable (0.9.8), tinyplot (0.4.0), usmapdata (0.5.0)
🆕 on the #Cpp Release Radar!
🎉 mlpack/mlpack: 4.6.2
👉 Download and details here:
🔗 https://github.com/mlpack/mlpack/releases/tag/4.6.2
🎉 mlpack/mlpack: 4.6.2
👉 Download and details here:
🔗 https://github.com/mlpack/mlpack/releases/tag/4.6.2
May 22, 2025 at 3:24 PM
🆕 on the #Cpp Release Radar!
🎉 mlpack/mlpack: 4.6.2
👉 Download and details here:
🔗 https://github.com/mlpack/mlpack/releases/tag/4.6.2
🎉 mlpack/mlpack: 4.6.2
👉 Download and details here:
🔗 https://github.com/mlpack/mlpack/releases/tag/4.6.2
Updates on CRAN: Compind (3.4), cSEM (0.6.1), doBy (4.6.27), footBayes (2.0.0), GenomeAdmixR (2.1.10), ISR (2025.5.16), mermboost (0.1.1), mlpack (4.6.1), POUMM (2.1.8), smallstuff (1.0.5), spEDM (1.6), TFM (0.4.0), worcs (0.1.18)
May 16, 2025 at 1:35 PM
Updates on CRAN: Compind (3.4), cSEM (0.6.1), doBy (4.6.27), footBayes (2.0.0), GenomeAdmixR (2.1.10), ISR (2025.5.16), mermboost (0.1.1), mlpack (4.6.1), POUMM (2.1.8), smallstuff (1.0.5), spEDM (1.6), TFM (0.4.0), worcs (0.1.18)
🆕 on the #Cpp Release Radar!
🎉 mlpack/mlpack: 4.6.1
👉 Download and details here:
🔗 https://github.com/mlpack/mlpack/releases/tag/4.6.1
🎉 mlpack/mlpack: 4.6.1
👉 Download and details here:
🔗 https://github.com/mlpack/mlpack/releases/tag/4.6.1
May 14, 2025 at 7:24 PM
🆕 on the #Cpp Release Radar!
🎉 mlpack/mlpack: 4.6.1
👉 Download and details here:
🔗 https://github.com/mlpack/mlpack/releases/tag/4.6.1
🎉 mlpack/mlpack: 4.6.1
👉 Download and details here:
🔗 https://github.com/mlpack/mlpack/releases/tag/4.6.1
Updates on CRAN: ctxR (1.1.2), dexter (1.6.0), excessmort (0.8.1), fhircrackr (2.3.0), hemispheR (1.1.6), mlpack (4.6.0), moveHMM (1.10), OncoBayes2 (0.9-2), plasma (1.1.4), ReacTran (1.4.3.2), Runuran (0.41), TimeDepFrail (0.1.0), TreeTools (1.13.1)
April 7, 2025 at 5:22 PM
Updates on CRAN: ctxR (1.1.2), dexter (1.6.0), excessmort (0.8.1), fhircrackr (2.3.0), hemispheR (1.1.6), mlpack (4.6.0), moveHMM (1.10), OncoBayes2 (0.9-2), plasma (1.1.4), ReacTran (1.4.3.2), Runuran (0.41), TimeDepFrail (0.1.0), TreeTools (1.13.1)
mlpack released version 4.5.1! This has some new functionality, some bug fixes, and some additional documentation. 🥳 https://github.com/mlpack/mlpack/releases/tag/4.5.1
February 21, 2025 at 8:30 PM
mlpack released version 4.5.1! This has some new functionality, some bug fixes, and some additional documentation. 🥳 https://github.com/mlpack/mlpack/releases/tag/4.5.1
Funding fuels open source! Hear Ryan Curtin, mlpack maintainer, on why support like NumFOCUS Small Development Grants matters for growing communities & tackling key tasks.
Hear more from Ryan at youtu.be/PrIgt0Pqi9M
Donate today to invest in #OpenCode4BetterScience at numfocus.org/open-code
Hear more from Ryan at youtu.be/PrIgt0Pqi9M
Donate today to invest in #OpenCode4BetterScience at numfocus.org/open-code
Open Source Spotlight: Ryan Curtin from mlpack
YouTube video by NumFOCUS
youtu.be
December 20, 2024 at 5:38 PM
Funding fuels open source! Hear Ryan Curtin, mlpack maintainer, on why support like NumFOCUS Small Development Grants matters for growing communities & tackling key tasks.
Hear more from Ryan at youtu.be/PrIgt0Pqi9M
Donate today to invest in #OpenCode4BetterScience at numfocus.org/open-code
Hear more from Ryan at youtu.be/PrIgt0Pqi9M
Donate today to invest in #OpenCode4BetterScience at numfocus.org/open-code
Updates on CRAN: bWGR (2.2.13), cowsay (1.0.0), mlpack (4.5.1), neonUtilities (2.4.3), omopgenerics (0.4.1), REMLA (1.2.0), scCustomize (3.0.0), seriation (1.5.7), trtswitch (0.1.2)
December 5, 2024 at 9:19 PM
Updates on CRAN: bWGR (2.2.13), cowsay (1.0.0), mlpack (4.5.1), neonUtilities (2.4.3), omopgenerics (0.4.1), REMLA (1.2.0), scCustomize (3.0.0), seriation (1.5.7), trtswitch (0.1.2)
The correct answer to this one had 147 unique credited authors!
November 21, 2024 at 11:28 PM
The correct answer to this one had 147 unique credited authors!