skprocrustes.py 文件源码

def __init__(self, sizes, problemnumber=None, matrices=[]):
        if sizes[0] != sizes[1] or sizes[2] != sizes[3]:
            raise Exception("Currently only square problems are supported.")
        elif sizes[0] % sizes[2] != 0:
            raise Exception("Dimensions are incompatible: m must be "
                            "divisible by p.")
        else:
            self.sizes = sizes
        self.problemnumber = problemnumber
        self._setproblem(matrices, problemnumber)

        # stats will be filled when the optimization is finished and
        # will be returned in the OptimizeResult instance.
        self.stats = dict([])
        # { "nbiter": 0,
        #   "svd": 0,
        #   "fev": 0,
        #   "gradient": 0,
        #   "blocksteps": 0,
        #   "full_results": [None]}