wrapper method 예문

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1. Wrapper methods use a predictive model to score feature subsets.
2. Methods for selecting features fall into two categories : filter methods and wrapper methods.
3. "Self-training " is a wrapper method for semi-supervised learning.
4. You may use most Buffer object functions normally, however if there is a wrapper method that merely redirects the self-action to the outside Buffer-HTML.
5. As wrapper methods train a new model for each subset, they are very computationally intensive, but usually provide the best performing feature set for that particular type of model.