Removing logs of optimization in cross_validation
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enhancement
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Description
I am getting lots of logs while running the cross_validation using dask, Does anyone know a workaround for that thing?.
I tried to follow the solution from issue #223 , but I am unable to hide the log.
I was using this like this.
`with self.suppress_stdout_stderr():
df_cv = cross_validation(m, horizon='7 days', period='7 days', initial='500 days', parallel='dask')
`
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