Comments (1)
@hanamthang
This package is the binary implementation of algorithms directed towards feature selection for model building.
While GridSearch for continuous space problems makes sense, it does fit well with binary tasks like feature selection
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The feature subset search that is performed by an algorithm is not repeatable, it's an attempt at exploration vs exploitation.
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Especially in the case of feature selection, parameter selection on top of this would result in overfitting
Instead, take a sufficient amount of population, iteration, and you will receive the best results of the entire flow from the algo itself
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Related Issues (13)
- Cross validating HOT 3
- prediction
- Disabling verbose still prints logs
- Number of features HOT 2
- Feature importance HOT 2
- Speed-up suggestions HOT 1
- Are you planning to support sklearn's API? HOT 3
- Whale optimization algorithm
- Is Zoofs support GPU rather than using CPU?
- Use zoofs for regression problems? HOT 5
- Looking for integrated Harris Haw Optimization in the zoofs HOT 9
- How to run GreyWolf optimizer for multiple objective? HOT 1
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