Tree-Guided Rare Feature Selection and Logic Aggregation

Documentation for package ‘TSLA’ version 0.1.1

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