[FIXED] Problem loading ML model saved using joblib/pickle

Issue

I saved a jupyter notebook .pynb file to .pickle format using joblib.

My ML model is built using pandas, numpy and the statsmodels python library.

I saved the fitted model to a variable called fitted_model and here is how I used joblib:

from sklearn.externals import joblib
# Save RL_Model to file in the current working directory

joblib_file = "joblib_RL_Model.pkl"  
joblib.dump(fitted_model, joblib_file)

I get this as output:

['joblib_RL_Model.pkl']

But when I try to load from file, in a new jupyter notebook, using:

# Load from file
joblib_file = "joblib_RL_Model.pkl"  
joblib_LR_model = joblib.load(joblib_file)
joblib_LR_model

I only get this back: <statsmodels.tsa.holtwinters.HoltWintersResultsWrapper at 0xa1a8a0ba8>

and no model. I was expecting to see the model load there and see the graph outputs as per original notebook.

Solution

Use with open, it is better because, it automatically open and close file. Also with proper mode.

with open('joblib_RL_Model.pkl', 'wb') as f:
    pickle.dump(fitted_model, f)

                                    
with open('joblib_RL_Model.pkl', 'rb') as f:
    joblib_LR_model = pickle.load(f)

And my implementation in Colab is here. Check it.

Answered By - ashraful16