Comments (9)
Sorry, I had added the license to the stable branch. Its released in GPL2. Is that sufficient?
from jrae.
Thanks for the quick answer. Unfortunately GPL2 is not very business friendly and while I had no intention of doing anything commercial with it I can't download it and play with it as my employer worries about contamination issues and basically forbids me from downloading it :(. BSD, MIT and Apache Licenses don't have the "viral" aspect to them which makes them more business friendly but you may well be wanting to achieve exactly what GPL2 is designed to do.
from jrae.
I want to release it in the most useful manner possible. I am using stanford corenlp, which I think is in GPL2, and that is pretty much the only reason I released it in GPL2. Let me research this a bit further and what I can do.
from jrae.
thanks, appreciate it
from jrae.
I looked into the details, you are right. I am stuck with GPL2 as I am using the NLP toolkit's optimization tool. If you know of any other java implementations of quasi newton methods under more liberal licenses, I could make a fork with that.
from jrae.
Thanks for looking into this. I did a bit of googling and found mallet http://mallet.cs.umass.edu which, I think, has the implementation that you need http://mallet.cs.umass.edu/optimization.php.
It's distributed under the common public license http://opensource.org/licenses/cpl1.0.php which apache indicates can be included in apache licensed software http://www.apache.org/legal/resolved.html#category-b
Thoughts? Is that an easy switch?
from jrae.
Cool, the interface looks similar, I will try making a fork later today. There might also be some containers I am using that relies on the toolkit but that should not pose much trouble.
from jrae.
I am afraid its just too tightly coupled to the package for a fork :(
from jrae.
sorry, xmas got in the way. That's unfortunate, but thanks for considering it.
from jrae.
Related Issues (16)
- Looks great, build instructions HOT 1
- Question about an exception HOT 15
- Other UTF-8 Languages HOT 1
- Why not sparse auto-encoder ? HOT 1
- Accuracy is lower than what is declared in the paper or am i missing something? HOT 6
- Pretraining on unlabled+labled data HOT 1
- wordmap.map should be rebuilt in each run HOT 1
- Converging Problem with FullRun HOT 2
- System requirements for training on a larger corpus
- Reproduce the result in Socher 2011 using jrae
- RAEBuilder_test wrong
- duplicate code
- Licence #2
- How to run RAE on windows? DO we need to compile first? HOT 1
- how to feed our own word embeddings to RAE?
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from jrae.