How can I serialize a scikit-learn pipeline?

How can I serialize a scikit-learn pipeline?

You can serialize a scikit-learn pipeline using the joblib library. Here's a simple example:

from sklearn.pipeline import Pipeline
from sklearn.externals import joblib

# Create a pipeline
pipeline = Pipeline([...])

# Serialize the pipeline
joblib.dump(pipeline, 'pipeline.pkl')

What if I want to load the serialized pipeline?

To load the serialized pipeline, you can use the joblib.load function like this:

loaded_pipeline = joblib.load('pipeline.pkl')

Are there any alternatives to joblib for serialization?

Yes, you can also use the pickle module for serialization, but joblib is generally preferred for scikit-learn objects due to better handling of large numpy arrays.

Can I serialize a pipeline with custom transformers?

Absolutely! Just ensure that your custom transformers are also serializable. They should implement the fit and transform methods.