What is Random Search in Python for Machine Learning?
An example of an AI chatbot conversation about Random Search in Python for hyperparameter tuning.
What is Random Search in Python for Machine Learning?
Random Search is a hyperparameter optimization technique that randomly samples from a range of values for each parameter.
How does it compare to Grid Search?
Unlike Grid Search, which tests all combinations, Random Search samples a fixed number of parameter settings, making it faster.
When should I use Random Search over Grid Search?
Use Random Search when you have a large hyperparameter space or when computational resources are limited.
Can you provide a code example for Random Search in Python?
Sure! You can use RandomizedSearchCV from sklearn to implement it. Would you like a specific example?
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