6. Selected deeper topics

Table of Contents

• 6.1. Applying preprocessing to the target
• 6.2. Cross-validation consistent Confound Removal
  • Confound Removal in julearn
  • Should I use Confound Regression?
• 6.3. Hyperparameter Tuning
  • Parameters vs Hyperparameters
  • Hyperparameter Tuning
  • Searchers
  • Tuning more than one grid
  • Models as hyperparameters
• 6.4. Inspecting Models
• 6.5. Cross-validation splitters
  • Stratification
  • Grouping
• 6.6. Stacking Models
  • Fitting each estimator on all of the features
  • Fitting each estimator on a specific feature type
• 6.7. Connectome-based Predictive Modeling (CBPM)
  • CBPM in julearn
• 6.8. Parallelizing julearn with Joblib
  • Massively parallelizing julearn with Joblib and HTcondor