Variance🔗

Calculates the variance of the elements of a matrix or a tensor.

Inputs🔗

input: A matrix or a tensor.
dimension: Specifies the dimension along which the variance will be calculated. -1 means variance of all elements. For matrices, dimension 0 is rows (output will be 1-by-N) and 1 is columns (output will be N-by-1). For tensors, the specified dimension will be collapsed. For example, if the input is a 1×2×3×4 tensor and dimension is 1, the output will be a 1×3×4 tensor. If the size of the specified dimension is one, the variance will be zero. If dimension is greater or equal to the number of dimensions in the input tensor or matrix, the output will be an empty tensor or matrix.

output: A double matrix or double tensor. If dimension is -1, the output will be a scalar value.