How to save sklearn model on s3 using joblib.dump?

Question

I have a sklearn model and I want to save the pickle file on my s3 bucket using joblib.dump

I used joblib.dump(model, \'model.pkl\') to save the model local

Answer 1

Just correcting Sayali Sonawane's answer:

import tempfile
import boto3
s3 = boto3.resource('s3')

# you can dump it in .sav or .pkl format 
location = 'folder_name/' # THIS is the change to make the code work
model_filename = 'model.sav'  # use any extension you want (.pkl or .sav)
OutputFile = location + model_filename

# WRITE
with tempfile.TemporaryFile() as fp:
    joblib.dump(scikit_learn_model, fp)
    fp.seek(0)
    # use bucket_name and OutputFile - s3 location path in string format.
    s3.Bucket('bucket_name').put_object(Key= OutputFile, Body=fp.read())