How can I debug my scikit-learn pipeline?
An example of an AI chatbot conversation about debugging scikit-learn pipelines.
How can I debug my scikit-learn pipeline?
You can start by checking the individual steps in your pipeline. Use the named_steps attribute to access each step.
What if I want to see the output of each step?
You can use the Pipeline's fit_transform method on your data and print the output at each step.
Are there any common errors I should look out for?
Yes, common errors include mismatched input shapes and incorrect parameter settings for transformers.
How can I visualize the pipeline?
You can use the sklearn's plot_pipeline function or visualize it using libraries like graphviz.
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