Issues
- 0
- 2
Update needed ahead of Matrix 1.6-2 release
#109 opened by jaganmn - 0
Symmetric reduce_basis
#104 opened by rachaelvp - 1
lasso fits while bounding L1 norm
#33 opened by nhejazi - 1
CRAN solaris builds fail
#96 opened by nhejazi - 2
- 1
Option to avoid penalizing one-way basis functions for time in pooled hazard regression
#81 opened by Larsvanderlaan - 3
python version
#89 opened by matthewvowels1 - 1
coupling lambda search with CV
#18 opened by nhejazi - 1
incorporating covariance updates
#15 opened by nhejazi - 3
custom gradient descent with momentum
#27 opened by nhejazi - 1
custom IRLS implementation
#25 opened by nhejazi - 1
making HAL faster
#22 opened by nhejazi - 2
- 3
Quasibinomial family
#75 opened by Lauren-EylerDang - 4
Poisson family?
#72 opened by tcovert - 0
relaxing HAL constraints from `glmnet` defaults
#56 opened by nhejazi - 4
- 2
Example usage
#69 opened by daviddewhurst - 2
additive models
#34 opened by benkeser - 1
License file completion
#65 opened by rrrlw - 3
Competing work
#70 opened by daviddewhurst - 1
Paper references
#66 opened by rrrlw - 2
lambda parameter ignored by predict.hal9001
#58 opened by prockenschaub - 1
- 5
Issues installing the package
#54 opened by Bahamyirou - 0
binary prediction fails when `cv_select = FALSE`
#50 opened by nhejazi - 2
- 2
fitting grouped binomial
#49 opened by HughSt - 1
predict method not working when reduce_basis
#46 opened by sgruber65 - 1
degrees should not be NULL by default?
#45 opened by nhejazi - 1
Conflict with data.table package
#42 opened by rfherrerac - 3
supporting active-set convergence
#14 opened by nhejazi - 1
lassi code should be class
#20 opened by jeremyrcoyle - 0
hal needs speed
#21 opened by nhejazi - 3
Use hal9001 in superlearner() in R
#30 opened by TerrySun920302 - 4
logit link for binomial outcomes
#13 opened by nhejazi - 10
- 7
family argument in fit_hal is funky
#10 opened by jlstiles - 2
centering of sparse design matrix
#12 opened by nhejazi - 0
unit tests and sanity checks
#4 opened by nhejazi - 1
custom gradient descent in Rcpp
#7 opened by nhejazi - 1
wrapper for Super Learner classic
#3 opened by nhejazi