What are the steps in an sklearn pipeline?
An example of an AI chatbot conversation about sklearn pipeline steps.
What are the steps in an sklearn pipeline?
An sklearn pipeline typically includes steps like data preprocessing, feature selection, and model training.
Can you give me an example of how to create a pipeline?
Sure! You can use Pipeline from sklearn.pipeline to chain together your steps. For example: Pipeline([('scaler', StandardScaler()), ('model', LogisticRegression())]).
What is the purpose of using a pipeline?
Pipelines help streamline the workflow by encapsulating the entire process, making it easier to manage and reproduce.
Can I include hyperparameter tuning in the pipeline?
Yes, you can use GridSearchCV or RandomizedSearchCV with your pipeline to tune hyperparameters effectively.
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