Saving pipelines (joblib, pickle) in ML Python - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to save a trained pipeline using joblib.

ML Python

import joblib

joblib.[1](pipeline, 'model_pipeline.pkl')

Drag options to blanks, or click blank then click option'

Awrite

Bsave

Cdump

Dload

Attempts:

3 left

💡 Hint

Common Mistakes

Using joblib.load() instead of joblib.dump() to save the model.

Using joblib.save() which does not exist.

The joblib.dump() function is used to save a pipeline or model to a file.

2fill in blank

medium

Complete the code to load a saved pipeline from a file using joblib.

ML Python

import joblib

pipeline = joblib.[1]('model_pipeline.pkl')

Drag options to blanks, or click blank then click option'

Adump

Bload

Csave

Dopen

Attempts:

3 left

💡 Hint

Common Mistakes

Using joblib.dump() instead of joblib.load() to load the model.

Using open() which does not load joblib objects.

The joblib.load() function loads a saved pipeline or model from a file.

3fill in blank

hard

Fix the error in the code to save a pipeline using pickle.

ML Python

import pickle

with open('pipeline.pkl', '[1]') as f:
    pickle.dump(pipeline, f)

Drag options to blanks, or click blank then click option'

Awb

Br

Cw

Drb

Attempts:

3 left

💡 Hint

Common Mistakes

Opening the file in text write mode 'w' causes errors.

Using read modes 'r' or 'rb' when writing.

When saving with pickle, the file must be opened in binary write mode 'wb'.

4fill in blank

hard

Fill both blanks to load a pipeline saved with pickle.

ML Python

import pickle

with open('pipeline.pkl', '[1]') as f:
    pipeline = pickle.[2](f)

Drag options to blanks, or click blank then click option'

Arb

Bwb

Cload

Ddump

Attempts:

3 left

💡 Hint

Common Mistakes

Opening the file in write mode when loading.

Using pickle.dump() instead of pickle.load() to load.

To load a pickle file, open it in binary read mode 'rb' and use pickle.load().

5fill in blank

hard

Fill all three blanks to save a pipeline using joblib with compression.

ML Python

import joblib

joblib.[1](pipeline, 'compressed_pipeline.pkl', compress=[2], protocol=[3])

Drag options to blanks, or click blank then click option'

Adump

Bload

C3

D5

Attempts:

3 left

💡 Hint

Common Mistakes

Using joblib.load() instead of dump() to save.

Using wrong compression or protocol values.

Use joblib.dump() to save with compression level 5 and protocol 3 for compatibility.