The sklearn.linear_model.Ridge.alpha is a parameter in the Ridge regression model in Python's scikit-learn library (sklearn.linear_model.Ridge). It represents the regularization strength applied to the model's coefficients. Increasing the value of alpha leads to a stronger regularization, which can help prevent overfitting. Conversely, decreasing the value of alpha allows the model to fit the training data more closely. Hence, alpha controls the trade-off between the model's ability to fit the training data and its generalizability to unseen data.
Python Ridge.alpha - 24 examples found. These are the top rated real world Python examples of sklearn.linear_model.Ridge.alpha extracted from open source projects. You can rate examples to help us improve the quality of examples.