/// <summary>
/// Calculates the minimum all elements returning a NdArray.
/// </summary>
/// <param name="source">The NdArray containing the source values.</param>
/// <returns>A new scalar NdArray containing the result of this operation.</returns>
public static NdArray <T> MinNdArray(NdArray <T> source)
{
return(MinAxis(0, NdArray <T> .Flattern(source)));
}
/// <summary>
/// Calculates the product all elements returning a NdArray.
/// </summary>
/// <param name="source">The NdArray containing the source values.</param>
/// <returns>A new scalar NdArray containing the result of this operation.</returns>
public static NdArray <T> ProductNdArray(NdArray <T> source)
{
return(ProductAxis(0, NdArray <T> .Flattern(source)));
}
/// <summary>
/// Sums all elements returning a NdArray.
/// </summary>
/// <param name="source">The NdArray containing the source values.</param>
/// <returns>A new scalar NdArray containing the result of this operation.</returns>
public static NdArray <T> SumNdArray(NdArray <T> source)
{
return(SumAxis(0, NdArray <T> .Flattern(source)));
}
/// <summary>
/// Calculates the mean of the NdArray.
/// </summary>
/// <param name="source">The NdArray containing the source values.</param>
/// <returns>The mean estimate.</returns>
public static T Mean(NdArray <T> source)
{
return(MeanAxis(0, NdArray <T> .Flattern(source)).Value);
}
/// <summary>
/// Checks if any element of the NdArray is true returning the result as a NdArray.
/// </summary>
/// <param name="source">The NdArray containing the source values.</param>
/// <returns>A new NdArray containing the result of this operation.</returns>
public static NdArray <bool> AnyNdArray(NdArray <bool> source)
{
var flattendArray = NdArray <bool> .Flattern(source);
return(AnyAxis(0, flattendArray));
}
