AttributeError: 'PiecewiseLinFit' object has no attribute 'beta'

Hi, thanks for the package!

When trying to run the examples here https://jekel.me/piecewise_linear_fit_py/examples.html, I am consistently running into the error AttributeError: ‘PiecewiseLinFit’ object has no attribute ‘beta’. For example, following the ‘fit for specified number of line segments’ example, I get:

    yHat = my_pwlf.predict(xHat)
  File "/Users/tom/phd/entity_extraction/piecewise_linear_fit_py/pwlf/pwlf.py", line 609, in predict
    y_hat = np.dot(A, self.beta)
AttributeError: 'PiecewiseLinFit' object has no attribute 'beta'

I am using Python 3.5.6. I tried both pip install pwlf and installing from source and got the same issue. Let me know if you need any more info. Thanks!

[tomsilver]

Thanks for following up. I can confirm that the initial report was also on MacOS.

[bezineb5]

I have the issue with SciPy 1.1.0. I checked and in my case, my_pwlf.breaks is not defined (AttributeError: ‘PiecewiseLinFit’ object has no attribute ‘breaks’) and my_pwlf.ssr == +inf. It works fine with scipy 1.2.0. I’m on MacOS, maybe that the cause: before 1.2.0, SciPy was using Apple Accelerate as LAPACK implementation. They dropped it in 1.2.0 because it had bugs (among other reasons), as described here: https://github.com/scipy/scipy/wiki/Dropping-support-for-Accelerate I’m not sure how to confirm that, as I don’t know which OS the initial report was on.