ndarray.scala | N-dimensional arrays , with Zarr and HDF5 integrations

 by   lasersonlab Scala Version: Current License: Apache-2.0

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.
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              ndarray.scala has a low active ecosystem.
              It has 10 star(s) with 4 fork(s). There are 3 watchers for this library.
              OutlinedDot
              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.

            kandi-Quality Quality

              ndarray.scala has no bugs reported.

            kandi-Security Security

              ndarray.scala has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

            kandi-License 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.

            kandi-Reuse Reuse

              ndarray.scala releases are not available. You will need to build from source code and install.

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            ndarray.scala Key Features

            No Key Features are available at this moment for ndarray.scala.

            ndarray.scala Examples and Code Snippets

            No Code Snippets are available at this moment for ndarray.scala.

            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 03:45
            val aa = NDArray.one_hot(NDArray.array(Array(1,2,3,4),shape = Shape(4)),4,1,0,"int32")
            

            Source https://stackoverflow.com/questions/50563511

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install ndarray.scala

            You can download it from GitHub.

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