Search results
public static NDarray linspace(double start, double stop, out float step, int num = 50, bool endpoint = true, Dtype dtype = null, int? axis = 0)
Implementation of LogSpace and LinSpace from Numpy for C# Raw. numpy.cs. using System; using System.Collections.Generic; using System.Linq; using System.Text; namespace libSVM. { public static class Numpy. { public static IEnumerable<double> Arange (double start, int count) { return Enumerable.Range ( (int)start, count).Select (v => (double)v); }
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.
This is a 100% pure .NET implementation of the Numpy API. This library is ported from the real Numpy source code. 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.
By introducing the NumSharp tool library, you can easily convert from python code to C# code. Here is a comparison code between NumSharp and NumPy (left is python, right is C#): NumSharp...
Use numpy.linspace if you want the endpoint to be included in the result, or if you are using a non-integer step size. numpy.linspace can include the endpoint and determines step size from the num argument, which specifies the number of elements in the returned array.
numpy.linspace #. numpy.linspace(start, stop, num=50, endpoint=True, retstep=False, dtype=None, axis=0, *, device=None)[source] #. Return evenly spaced numbers over a specified interval. Returns num evenly spaced samples, calculated over the interval [start, stop].
