ndarray.scala | N-dimensional arrays , with Zarr and HDF5 integrations
kandi X-RAY | ndarray.scala Summary
kandi X-RAY | ndarray.scala Summary
ndarray.scala is a Scala library. ndarray.scala has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.
Tools for working with N-dimensional arrays, HDF5, and Zarr.
Tools for working with N-dimensional arrays, HDF5, and Zarr.
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Support
ndarray.scala has a low active ecosystem.
It has 10 star(s) with 4 fork(s). There are 3 watchers for this library.
It had no major release in the last 6 months.
There are 7 open issues and 0 have been closed. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of ndarray.scala is current.
Quality
ndarray.scala has no bugs reported.
Security
ndarray.scala has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
ndarray.scala is licensed under the Apache-2.0 License. This license is Permissive.
Permissive licenses have the least restrictions, and you can use them in most projects.
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ndarray.scala releases are not available. You will need to build from source code and install.
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ndarray.scala Key Features
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ndarray.scala Examples and Code Snippets
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Community Discussions
Trending Discussions on ndarray.scala
QUESTION
mxnet scala use one_hot params error
Asked 2018-May-29 at 03:45
object LoadTest1 {
def main(args: Array[String]): Unit = {
var b = NDArray.array(Array(1, 2, 3),
shape = Shape(1, 3))
//var c = b.copy()
val a = NDArray.one_hot(Map("indices" -> NDArray.array(Array(1f, 2f, 3f), shape = Shape(1, 3)),
"on_value" -> 1,
"dtype" -> "float16",
"off_value" -> 0,
"depth" -> 4
// "out"->c
))(1)(1)
println(a)
println("-----------------------")
}
}
...ANSWER
Answered 2018-May-29 at 03:45val aa = NDArray.one_hot(NDArray.array(Array(1,2,3,4),shape = Shape(4)),4,1,0,"int32")
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
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You can download it from GitHub.
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