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  1. public static NDarray linspace(double start, double stop, out float step, int num = 50, bool endpoint = true, Dtype dtype = null, int? axis = 0)

  2. public static IEnumerable<double> LinSpace(double start, double stop, int num, bool endpoint = true) {var result = new List<double>(); if (num <= 0) {return result;} if (endpoint) {if (num == 1) {return new List<double>() { start };} var step = (stop - start)/ ((double)num - 1.0d); result = Arange(0, num).Select(v => (v * step) + start).ToList ...

  3. Example. Check out this example which uses numpy operations to fit a two-layer neural network to random data by manually implementing the forward and backward passes through the network. Numpy and Intellisense: a developer-friendly combination: Installation. If you want to use Numpy.NET you have two options: Numpy.dll.

  4. The C and the Python code of Numpy have been ported to C#. This approach allows us to capture all of the nuances that are in the original Numpy libraries. We have near 100% of the API ported and unit tested. The result is a .NET library that is 100% compatible with the Numpy API. It can be run anywhere that .NET can run.

  5. 30 wrz 2018 · As an example, say I do this: xstep = np.linspace(0, 1, 2) # array([0., 1.]) ystep = np.linspace(0, 1, 3) # array([0. , 0.5, 1. ]) I'm trying to construct an answer: array([ [0+0j, 0+0.5j, 0+1j], [1+0j, 1+0.5j, 1+1j] ])

  6. 7 lis 2018 · The purpose of NumSharp is to make it easy to copy and paste Python code into C#. How to install: PM> Install-Package NumSharp. If you feel that this library is helpful to you, please actively...

  7. 10 paź 2018 · NumSharp is the C# version of NumPy, which is as consistent as possible with the NumPy programming interface, including function names and parameter locations. By introducing the NumSharp...

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