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NdArray.ExtensionLinking.cs
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106 lines (96 loc) · 3.35 KB
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/*
* NumSharp
* Copyright (C) 2018 Haiping Chen
*
* This program is free software: you can redistribute it and/or modify
* it under the terms of the Apache License 2.0 as published by
* the Free Software Foundation, either version 3 of the License, or
* (at your option) any later version.
*
* This program is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU General Public License for more details.
*
* You should have received a copy of the Apache License 2.0
* along with this program. If not, see <http://www.apache.org/licenses/LICENSE-2.0/>.
*/
using NumSharp.Extensions;
using System;
using System.Collections.Generic;
using System.ComponentModel;
using System.Dynamic;
using System.Linq;
using System.Text;
using System.Text.RegularExpressions;
namespace NumSharp
{
/// <summary>
/// A powerful N-dimensional array object
/// Inspired from https://www.numpy.org/devdocs/user/quickstart.html
/// </summary>
public partial class NDArray<T>
{
public NDArray<T> HStack(NDArray<T> np2 )
{
dynamic npDyn = this;
dynamic np2Dyn = np2;
return NumSharp.Extensions.NDArrayExtensions.HStack(npDyn,np2Dyn);
}
public NDArray<T> ARange(int stop, int start = 0, int step = 1)
{
dynamic npDyn = this;
dynamic npResult = NumSharp.Extensions.NDArrayExtensions.ARange(npDyn, stop,start,step);
return npResult;
}
public int ArgMax()
{
dynamic npDyn = this;
return NumSharp.Extensions.NDArrayExtensions.ArgMax(npDyn);
}
public Matrix<double> AsMatrix()
{
dynamic np = this;
return NumSharp.Extensions.NDArrayExtensions.AsMatrix(np);
}
public NDArray<T> Convolve(NDArray<T> np2, string mode = "full")
{
dynamic npDyn = this;
dynamic np2Dyn = np2;
return NumSharp.Extensions.NDArrayExtensions.Convolve(npDyn, np2Dyn,mode);
}
public NDArray<T> Dot(NDArray<T> np2)
{
dynamic np1Dyn = this;
dynamic np2Dyn = np2;
return NumSharp.Extensions.NDArrayExtensions.Dot(np1Dyn,np2Dyn);
}
public NDArray<T> Dot(T scalar)
{
dynamic np1Dyn = this;
dynamic scalarDyn = scalar;
return NumSharp.Extensions.NDArrayExtensions.Dot(np1Dyn,scalarDyn);
}
public NDArray<double> HStack(params NDArray<double>[] nps)
{
return NumSharp.Extensions.NDArrayExtensions.HStack(nps);
}
public NDArray<T> Onces(params int[] shape)
{
return NumSharp.Extensions.NDArrayExtensions.Onces(this, shape);
}
public NDArray<T> ReShape(params int[] shape)
{
return NumSharp.Extensions.NDArrayExtensions.ReShape(this, shape);
}
public NDArray<double> VStack(params NDArray<double>[] nps)
{
return NumSharp.Extensions.NDArrayExtensions.VStack(nps);
}
public NDArray<T> Zeros(params int[] select)
{
dynamic np1Dyn = this;
return NumSharp.Extensions.NDArrayExtensions.Zeros(np1Dyn, select);
}
}
}