def __init__(self, data, k=-1, rrank=0, crank=0): SVD.__init__(self, data, k=k, rrank=rrank, crank=rrank) # select all data samples for computing the error: # note that this might take very long, adjust self._rset and self._cset # for faster computations. self._rset = range(self._rows) self._cset = range(self._cols)
def __init__(self, data, k=-1, rrank=0, crank=0): SVD.__init__(self, data,k=k,rrank=rrank, crank=rrank) # select all data samples for computing the error: # note that this might take very long, adjust self._rset and self._cset # for faster computations. self._rset = range(self._rows) self._cset = range(self._cols)
def __init__(self, data, rrank=0, crank=0, show_progress=True): SVD.__init__(self, data, rrank=rrank, crank=rrank, show_progress=show_progress) # select all data samples for computing the error: # note that this might take very long, adjust self._rset and self._cset for # faster computations. self._rset = range(self._rows) self._cset = range(self._cols)
def __init__(self, data, k=-1, rrank=0, crank=0): SVD.__init__(self, data, k=k, rrank=rrank, crank=rrank)