我希望能够在拟合预测模型时抑制来自fbprophet的一些输出。此输出("初始对数关联概率...","优化正常终止:","检测到收敛:......"等)显然是来自Stan的cpp代码,我找不到任何明显的方法来控制它[我正在使用python接口]。 在高级stan()例程(在pystan / api.py中)默认发现verbose = False,但是显然这个参数不会抑制此打印输出。没有代码修改是否可行?
答案 0 :(得分:0)
不幸的是,它比应该的要复杂。我认为某些输出来自C或Fortran编译代码等。这是您的操作方法(找到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)
“更简单”的方式类似于:
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