Gonum – Numerical Computing for Go
gonum.org
Gonum – Numerical Computing for Go
1–10 of 47 posts
Re: Gonum – Numerical Computing for Go
#2[deleted]
Re: Gonum – Numerical Computing for Go
#3What's the use case for this? Machine learning? But data? General math use?
Re: Gonum – Numerical Computing for Go
#4What's the use case for this? Machine learning? But data? General math use?
General math use, like numpy/scipy.
Re: Gonum – Numerical Computing for Go
#5A solid, featureful & performant numerics library seems like a really good match for Go---if it can match numpy but also provide benefits like the safety of types, binary compilation, and better performance in non-numeric code, that's a really exciting case for sliding away from python?
Re: Gonum – Numerical Computing for Go
#6wonder how this compares to numpy/scipy in terms of features and performance. Looks pretty comprehensive.
Re: Gonum – Numerical Computing for Go
#7wonder how this compares to numpy/scipy in terms of features and performance. Looks pretty comprehensive.
We aren't at full feature parity, but we're pretty close. There are some big things we are missing (ODE, FFT), and we have a bunch of things they don't have (statistical distance measures being one example). We are trying to be pure-go, so it's not at simple as providing a wrapper API. Working on it though!
Re: Gonum – Numerical Computing for Go
#8A solid, featureful & performant numerics library seems like a really good match for Go---if it can match numpy but also provide benefits like the safety of types, binary compilation, and better performance in non-numeric code, that's a really exciting case for sliding away from python?
I have done some numeric programming in Go and compared to Python it's really hampered by the lack of operator overloading.
Of course, it just provides convenience, but it's what makes writing stuff in numpy, Tensorflow, Eigen, etc elegant.
Re: Gonum – Numerical Computing for Go
#9What's the use case for this? Machine learning? But data? General math use?
Here at The New York Times we are using it to power some of our recommendation algorithms. We are actually training the models with Python and serving them with Go using gonum.
Our library was just open sourced (and still in my personal account, until we add more documentation): https://github.com/jbochi/facts
Re: Gonum – Numerical Computing for Go
#10A solid, featureful & performant numerics library seems like a really good match for Go---if it can match numpy but also provide benefits like the safety of types, binary compilation, and better performance in non-numeric code, that's a really exciting case for sliding away from python?
I have done some numeric programming in Go and compared to Python it's really hampered by the lack of operator overloading. Of course, it just provides convenience, but it's what makes writing stuff in numpy, Tensorflow, Eigen, etc elegant.
As of reading your comment, I'm 100% convinced that Go needs generics. I'm a longtime Go advocate, love coding in Go, but until now thought the lack of generics is just fine.
Lately I do a lot of numpy/tensorflow, and have begun to really dislike the slowness of python. It would be great to do that work in Go specifically.