ndtransform 0.1.2

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This library contains 3 functions that are meant to be used for tensor transformations. Mostly they are built using standard python library with some functionalities of numpy.

The 3 functions in question:

-transpose2d(tensor): takes a tensor in the format "list[list[float]]". This tensor will then be transposed. Returns a list.

-window1d(array, size, *shift, *stride): "array" takes an array in format list or np.ndarray; "size", of which size you want to get your windows; "shift" (default = 1) optional argument, which determines step in between window calculations; "stride" (default = 1) optional argument, which represents the step size. Returns a list.

-convolution2d(matrix, kernel, *stride): "matrix" takes an np.ndarray that you would like to make calculations on; "kernel" takes an np.ndarray that will be used to do calculations on original matrix; "stride" (default = 1) optional argument that represents the step size, when generating result. Returns np.ndarray.