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weights for datasets

See original GitHub issue

Hi, I am trying to perform a fit on a weighted dataset, first trying the simple example in https://github.com/zfit/zfit/blob/develop/examples/simple_fit.py.
To do that, I used the weights argument in zfit.Data.from_numpy.
My weights are [0] * 9999 + [1]. When fitting, it tells me that there are incompatible shapes:

  File "iminuit/_libiminuit.pyx", line 736, in iminuit._libiminuit.Minuit.migrad
RuntimeError: exception was raised in user function
User function arguments:
       mu = +1.200000
    sigma = +1.300000
Original python exception in user function:
InvalidArgumentError: Incompatible shapes: [10000] vs. [9992]
	 [[node mul (defined at lib/python3.7/site-packages/tensorflow_core/python/framework/ops.py:1748) ]]

Are the weights meant to be used for something else? Or is this unwanted behaviour?

Issue Analytics

State:
Created 4 years ago
Comments:5 (5 by maintainers)

Top GitHub Comments

1reaction

niklasnoltecommented, Jan 28, 2020

i just do the cutting myself for now. thanks for taking care of it!

0reactions

jonas-eschlecommented, Mar 11, 2020

Fixed in #212 (currently develop). Thanks again for reporting and please let us know in case the problem still persists.

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