Exhaustive Tuning
Explore how to apply exhaustive grid search cross-validation with scikit-learn's GridSearchCV to tune hyperparameters. Learn to specify parameter grids and evaluate models using K-Fold cross-validation. Understand when exhaustive tuning is appropriate for small datasets to optimize model performance.
We'll cover the following...
We'll cover the following...
Chapter Goals:
- Learn how to use grid search cross-validation for exhaustive hyperparameter tuning
A. Grid-search cross-validation
If our application requires us to absolutely obtain the best hyperparameters of a model, and if the dataset is small enough, we can apply an ...