>>> outqueue = Queue()
>>> slope,offset = m.fit(outqueue=outqueue)
>>> info = outqueue.get(block=False)
- >>> pprint(info) # doctest: +ELLIPSIS, +REPORT_UDIFF
+ >>> pprint(info) # doctest: +ELLIPSIS, +NORMALIZE_WHITESPACE, +REPORT_UDIFF
{'active fitted parameters': array([ 6.999..., -32.889...]),
'active parameters': array([ 6.999..., -32.889...]),
- 'convergence flag': 2,
+ 'convergence flag': ...,
'covariance matrix': array([[ 1.199...e-08, -5.993...e-06],
[ -5.993...e-06, 3.994...e-03]]),
'data scale factor': 1.0,
'fvec': array([...]),
'ipvt': array([1, 2]),
'nfev': 7,
- 'qtf': array([ 2.851...e-07, 1.992...e-06])},
+ 'qtf': array([...])},
'initial parameters': [6.992..., -33.0],
- 'message': 'The relative error between two consecutive iterates is at most 0.000...',
+ 'message': '...relative error between two consecutive iterates is at most 0.000...',
'rescaled': False,
'scale': [0.100..., 6.123...]}