I created a simple fbprophet model with the airpassengers data:
I created a simple fbprophet model with the airpassengers data:
import pandas as pd
import pickle
from fbprophet import Prophet
import sys
df = pd.read_csv("airline-passengers.csv")
# preprocess columns as fbprophet expects it
df.rename(columns={"Month": "ds", "Passengers": "y"}, inplace=True)
df["ds"] = pd.to_datetime(df["ds"])
m = Prophet()
m.fit(df)
However, when I save the object m
:
with open("p_model", "wb") as f:
pickle.dump(m, f)
it needs >1 MB of memory on my hard drive. The object m
itself seems to be rather small, as sys.getsizeof(m)
returns 56
.
Why is the pickle file so large? Is there a suitable alternative for saving the the object for later reuse? Thanks in advance.
Thanks to the link of @Kohelet, I found the solultion, it was the stan_backend
attribute:
m.stan_backend = None
This reduced the filesize on hard drive to around 18 KB.
Im am still wondering why this is not visible when invoking sys.sizeof(m)