how to control output from fbprophet?

Question

I would like to be able to suppress some output coming from fbprophet while fitting a forecasting model. This output ("Initial log joint probability...", "Optimization terminated normally:", "Convergence detected:...", etc.) is apparently coming from Stan's cpp code and I cannot find any obvious way to control it [I am using python interface]. Digging a little bit into the code discovers verbose=False as default in high level stan() routines (in pystan/api.py), but apparently this parameter does not suppress this printout. Is it feasible without code modifications?

Answer 1

Unfortunately, it's more complex than it should be. I think some of the output is coming from C or Fortran compiled code or something. Here is how you can do it (found here):

import os
import sys

import pandas as pd
from fbprophet import Prophet


# from https://stackoverflow.com/questions/11130156/suppress-stdout-stderr-print-from-python-functions
class suppress_stdout_stderr(object):
    '''
    A context manager for doing a "deep suppression" of stdout and stderr in
    Python, i.e. will suppress all print, even if the print originates in a
    compiled C/Fortran sub-function.
       This will not suppress raised exceptions, since exceptions are printed
    to stderr just before a script exits, and after the context manager has
    exited (at least, I think that is why it lets exceptions through).

    '''
    def __init__(self):
        # Open a pair of null files
        self.null_fds = [os.open(os.devnull, os.O_RDWR) for x in range(2)]
        # Save the actual stdout (1) and stderr (2) file descriptors.
        self.save_fds = (os.dup(1), os.dup(2))

    def __enter__(self):
        # Assign the null pointers to stdout and stderr.
        os.dup2(self.null_fds[0], 1)
        os.dup2(self.null_fds[1], 2)

    def __exit__(self, *_):
        # Re-assign the real stdout/stderr back to (1) and (2)
        os.dup2(self.save_fds[0], 1)
        os.dup2(self.save_fds[1], 2)
        # Close the null files
        os.close(self.null_fds[0])
        os.close(self.null_fds[1])

m = Prophet()
df = pd.read_csv('somefile.csv')

with suppress_stdout_stderr():
    m.fit(minimal_df)

The 'simpler' way (if it would've worked, which it doesn't) would've been something like:

import os
import sys

import pandas as pd
from fbprophet import Prophet

m = Prophet()
df = pd.read_csv('somefile.csv')

orig_out = sys.stdout
sys.stdout = open(os.devnull, 'w')
m.fit(df)
sys.stdout = orig_out