How can I create an advanced pipeline in scikit-learn?
You can create an advanced pipeline in scikit-learn using the Pipeline
class along with FeatureUnion
for combining multiple feature extraction methods.
Can you give me an example of using FeatureUnion
in a pipeline?
Sure! Here's a simple example: you can combine a CountVectorizer
for text features and a StandardScaler
for numerical features using FeatureUnion
.
What are the benefits of using pipelines in scikit-learn?
Pipelines help streamline the workflow, ensure reproducibility, and make it easier to manage complex transformations and model training.
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