Comments (5)
The library has been in development for several years. At beginning, it is close source to myself. Now I open source it in Apache license. Need some work to update all source files.
from smile.
Thank you for open sourcing it! Just want to get it by lawyers who might balk at the license text in the files. 😄
from smile.
Hello Haifeng,
The library is awesome, the code is nicely writted. Congratz !!
I have a question about the license too. I'm development a framework in Java and Android in LGPL. I would to know if can you permit to port some classes into my project ?
from smile.
Hi Diego,
Would you like to create a build script or eclipse project of SmileMiner for Android? I already provide eclipse project files and settings for these projects. Since the library uses only java standard library, it should be easy to port them to Android (except SmilePlot, which uses Swing). Then you can use these libraries in your framework easily. I don't feel that it is a good strategy to copy files to another projects. It will be hard to synchronize our efforts. If you need helps, I definitely would like to work with you together. Thanks!
from smile.
all copyrights header in source files have been updated. Thanks!
from smile.
Related Issues (20)
- Add XMeans with float array type HOT 5
- Ability to stop TSNE, possibly other time-heavy computations HOT 1
- rbf kernel? HOT 3
- [FEATURE PROPOSAL] ARPACK wrapper functions HOT 2
- Exception in thread "main" java.lang.UnsatisfiedLinkError: no jniopenblas_nolapack in java.library.path: /usr/java/packages/lib:/usr/lib64:/lib64:/lib:/usr/lib HOT 13
- Tree Representation for Regression Models in Google Earth Engine HOT 1
- Takes more memory for LSH model in NearestNeighborSearch HOT 6
- Gamma random number generator support only integer shape parameter. HOT 1
- java.lang.StackOverflowError HOT 1
- svm HOT 1
- Jitpack builds are failing since 3.x HOT 2
- FR: Compact "how to load dirty data" example HOT 1
- Arff.java writeField can fail when type isn't in the list of handled types HOT 1
- BarPlot.getUpperBound() computes wrong bound. HOT 1
- FR: Warn before trying to train where the label column has any nulls HOT 1
- Dot product Question HOT 2
- stringVector(0) error HOT 1
- Suggest changing license to Apache 2.0 license or MIT
- Non-monotonic cluster tree -- the linkage is probably not appropriate! HOT 1
- HiddenLayerBuilder does not add dropout to HiddenLayer HOT 4
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from smile.