Comments (5)
This means that needs to support boolean arrays.
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In the yolo model, this is used to get masks by which arrays are subsequently taken.
mask = np.logical_and(scale_mask, score_mask)
coors, scores, classes = pred_coor[mask], scores[mask], classes[mask]
There is no such thing in multik either. I need to think about the api.
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Related to #37, it would be nice to have a Kotlin API for something like this: https://github.com/JetBrains-Research/spbla
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@devcrocod I have been doing some experiments with abstract algebras using type classes. Although I am still unhappy with the amount of indirection, our implementation currently supports various semirings. Perhaps you can borrow some ideas:
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It looks very cool.
thanks
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Related Issues (20)
- add support npy format for jvm HOT 1
- add test for io csv and complex numbers
- add multiplatform serialization for csv
- update dokka and docs
- add parser for datatypes
- bug with reading csv with array of complex numbers from numpy
- any plan to add `power` function like numpy? HOT 5
- support vector api like jdk21 HOT 1
- add writerside documentation
- Incorporate dokka's API reference into the overall documentation
- add examples to the kdocs
- optimize complex numbers
- Resolve numerical error in packing of single-precision complex numbers in JS
- add complex number implementation in kotlin/native using Vector128
- Error when running on older Android device - FilteAttribute not found HOT 4
- Hide non-public properties and functions HOT 1
- Race condition issue in loading of openblas
- library published incorrectly
- Usage of unsupported type causes runtime error HOT 1
- Expose singularity error level to public api HOT 1
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