Stuck on an issue?

Lightrun Answers was designed to reduce the constant googling that comes with debugging 3rd party libraries. It collects links to all the places you might be looking at while hunting down a tough bug.

And, if you’re still stuck at the end, we’re happy to hop on a call to see how we can help out.

Error on fit

See original GitHub issue

I’ve just installed prophet but It’s not working when I try to fit.

14:11:57 - cmdstanpy - INFO - Chain [1] start processing
14:11:57 - cmdstanpy - INFO - Chain [1] done processing
14:11:57 - cmdstanpy - ERROR - Chain [1] error: terminated by signal 3221225657 
Optimization terminated abnormally. Falling back to Newton.
14:11:58 - cmdstanpy - INFO - Chain [1] start processing
14:11:58 - cmdstanpy - INFO - Chain [1] done processing
14:11:58 - cmdstanpy - ERROR - Chain [1] error: terminated by signal 3221225657 
---------------------------------------------------------------------------
RuntimeError                              Traceback (most recent call last)
~\anaconda3\lib\site-packages\prophet\models.py in fit(self, stan_init, stan_data, **kwargs)
    101         try:
--> 102             self.stan_fit = self.model.optimize(**args)
    103         except RuntimeError as e:

~\anaconda3\lib\site-packages\cmdstanpy\model.py in optimize(self, data, seed, inits, output_dir, sig_figs, save_profile, algorithm, init_alpha, tol_obj, tol_rel_obj, tol_grad, tol_rel_grad, tol_param, history_size, iter, save_iterations, require_converged, show_console, refresh, time_fmt)
    730             else:
--> 731                 raise RuntimeError(msg)
    732         mle = CmdStanMLE(runset)

RuntimeError: Error during optimization: 

During handling of the above exception, another exception occurred:

RuntimeError                              Traceback (most recent call last)
<ipython-input-12-ae8672abeabc> in <module>
      1 # Python
      2 m = Prophet()
----> 3 m.fit(df)

~\anaconda3\lib\site-packages\prophet\forecaster.py in fit(self, df, **kwargs)
   1169             self.params = self.stan_backend.sampling(stan_init, dat, self.mcmc_samples, **kwargs)
   1170         else:
-> 1171             self.params = self.stan_backend.fit(stan_init, dat, **kwargs)
   1172 
   1173         self.stan_fit = self.stan_backend.stan_fit

~\anaconda3\lib\site-packages\prophet\models.py in fit(self, stan_init, stan_data, **kwargs)
    108                 )
    109                 args['algorithm'] = 'Newton'
--> 110                 self.stan_fit = self.model.optimize(**args)
    111             else:
    112                 raise e

~\anaconda3\lib\site-packages\cmdstanpy\model.py in optimize(self, data, seed, inits, output_dir, sig_figs, save_profile, algorithm, init_alpha, tol_obj, tol_rel_obj, tol_grad, tol_rel_grad, tol_param, history_size, iter, save_iterations, require_converged, show_console, refresh, time_fmt)
    729                 get_logger().warning(msg)
    730             else:
--> 731                 raise RuntimeError(msg)
    732         mle = CmdStanMLE(runset)
    733         return mle

RuntimeError: Error during optimization:

Could anyone help me?

Issue Analytics

State:
Created a year ago
Comments:13

Top GitHub Comments

2reactions

federicodecilliacommented, Sep 29, 2022

Same problem here. I tried creating various new virtual environment, then typing pip install prophet but nothing worked

1reaction

Karlossalcommented, Aug 10, 2022

I have got mine working.

I installed the cmdstanpy package and imported by using the following…

import cmdstanpy cmdstanpy.install_cmdstan() cmdstanpy.install_cmdstan(compiler=True) # only valid on Windows

Top Results From Across the Web

Fit Models with Measurement Errors

Particularly in the physical sciences, it is common to use measurement errors as weights to incorporate measured variation into the fitting.

How to return the fit error in Python curve_fit - Stack Overflow

Basically, this is the fitting algorithm telling you that your data is not described well by you model and that you don't need...

Error Representation and Curvefitting - Rice University

The present article covers the rationale behind the reporting of random (experimental) error, how to represent random error in text, tables, and in...

Error on fit parameters - ROOT Forum

Hi, I am attaching a plot that shows a pol3 fit to a histogram. I see that the red. chi2 is quite small...

CVL Tools Vision Guide - Fit Error - Documentation | Cognex

The fit error is a measure of the variance between the shape of the trained pattern and the shape of the pattern instance...