issues
search
yixinsun1216
/
crossfit
Implementation of Double/Debiased Machine Learning approach
3
stars
2
forks
source link
issues
Newest
Newest
Most commented
Recently updated
Oldest
Least commented
Least recently updated
can reduce model's size?
#20
bianchenhao
closed
3 years ago
1
added R-squared methods to glance so that broom works a little nicer
#19
tcovert
closed
3 years ago
1
For regression forest, replace k folds with a single leave-one-out prediction
#18
yixinsun1216
opened
3 years ago
0
Issue16 args
#17
yixinsun1216
closed
3 years ago
0
Change ... arguments to allowing users to pass in lasso_options/rf_options list
#16
yixinsun1216
closed
3 years ago
0
Fix furrr
#15
yixinsun1216
closed
3 years ago
0
speed improvements to lasso
#14
yixinsun1216
closed
4 years ago
0
Catch error when J_0 doesn't invert
#13
yixinsun1216
closed
4 years ago
0
Speed improvements
#12
yixinsun1216
closed
4 years ago
0
Issue10 hal9001
#11
yixinsun1216
opened
4 years ago
0
Lasso using empirical cdf
#10
yixinsun1216
opened
4 years ago
3
Issue7 implement poisson
#9
yixinsun1216
closed
4 years ago
0
#7 basic writeup of how I thikn we should do Poisson lasso
#8
tcovert
closed
4 years ago
0
Implementing Poisson Method That Doesn't Use the Concentrating-Out Approach to DML
#7
yixinsun1216
closed
4 years ago
4
Issue3 lump psi arguments into one argument that calls for a linear or poisson model
#6
yixinsun1216
closed
4 years ago
0
#2 add option for rlasso from the hdm package
#5
yixinsun1216
closed
4 years ago
0
Start implementation of lasso and figure out best default parameters for regression_forest
#4
yixinsun1216
closed
4 years ago
0
Combine psi, psi_grad, and psi_op into one call
#3
yixinsun1216
closed
4 years ago
0
Extending dml to use lasso
#2
yixinsun1216
closed
4 years ago
7
Toggling with honesty and tune.parameter in regression_forest function
#1
yixinsun1216
closed
4 years ago
1