Models

Core models

• encoding.models.ridge_regression.RidgeRegressionModel: efficient voxel-wise ridge

• encoding.models.nested_cv: nested CV utilities and pipelines

• encoding.models.sklearn_model.SklearnModel: wrapper for scikit-learn estimators

• encoding.models.linear and encoding.models.base: common interfaces

Training modes

• Concatenated (LPP/Narratives): stack all stories, fit cross-validated ridge

• Train/Test split (Lebel): fit on early segments, test on held-out segments

Example

from encoding.models.ridge_regression import RidgeRegressionModel
model = RidgeRegressionModel(n_alphas=20)