HF RL Explorer

Task: Implement Regularization Parameter Selection for Linear Regression

Task: Implement Regularization Parameter Selection for Linear Regression: a task in Terminal-Lego-15k (Harbor dataset). Implement a Python program that demonstrates how to calculate/select the optimal regularization parameter (lambda) in linear regression using cross-validation. The program should:

The task

Implement a Python program that demonstrates how to calculate/select the optimal regularization parameter (lambda) in linear regression using cross-validation. The program should:

Part of PrimeIntellect/Terminal-Lego-15k.