Man pages for jeremyrcoyle/mangolassi
A fast, computationally efficient Highly Adaptive LASSO (HAL)

apply_copy_mapApply copy map
asdgCMatrix_Fast Coercion to Sparse Matrix
basis_list_colsList Basis Functions
basis_of_degreeCompute Degree of Basis Functions
cv_lassoCross-validated LASSO on Indicator Bases
enumerate_basisEnumerate Basis Functions
evaluate_basisGenerate Basis Functions
find_lambda_maxFind maximum L1 regularization constant
fit_halHAL: The Highly Adaptive LASSO estimator
get_new_betaCompute updated LASSO coefficients
hal9000HAL 9000 Quotes
hal_quotesHAL9000 Quotes from "2001: A Space Odyssey"
index_first_copyFind Copies of Columns
lambda_seqGenerate sequence of lambdas
lassiCustom Lasso implementation for matrices of indicator...
lassi_fit_cdFit a LASSO Regression Model
lassi_origamiSingle LASSO estimation for cross-validation with Origami
lassi_predictLASSO Prediction
make_basis_listSort Basis Functions
make_copy_mapBuild Copy Maps
make_design_matrixBuild HAL Design Matrix
meets_basisCompute Values of Basis Functions
predict.hal9001Prediction from HAL fits
SL.hal9001Wrapper for Classic SuperLearner
soft_thresholdSoft thresholding for LASSO fits
squash_hal_fitSquash HAL objects
jeremyrcoyle/mangolassi documentation built on Nov. 23, 2017, 12:59 a.m.