ClassificationExample   Synthesic for the classification example
RegressionExample       Synthesic for the regression example
TSLA-package            Tree-Guided Rare Feature Selection and Logic
                        Aggregation
TSLA.fit                Solve the TSLA optimization problem
cal2norm                Calculate group norms
coef_TSLA               Get coefficients from a fitted TSLA model
cv.TSLA                 Cross validation for TSLA
get_tree_object         Tree-guided reparameterization
getaggr                 Generate aggregated features
getetmat                Tree-guided expansion
getperform              Get performance metrics for classification
plot_TSLA               Plot aggregated structure
predict_TSLA            Prediction from TSLA with new data
predict_cvTSLA          Prediction from cross validation
