timmens/causal-forest
Implements the Causal Forest algorithm formulated in Athey and Wager (2018).
PythonMIT
Issues
- 1
Parallel Problems
#19 opened by spot92 - 1
failed to install the package
#20 opened by yangyijane - 2
Add unit tests.
#8 opened by timmens - 2
Polish documentation on readthedocs.
#15 opened by timmens - 1
- 1
Rename github repo.
#11 opened by timmens - 0
Add doc tests to Travis and pre-commit hook.
#18 opened by timmens - 1
Fix bug in CausalForest load method.
#14 opened by timmens - 1
Check for compatibility with sklearn functionals.
#12 opened by timmens - 1
- 0
- 1
Optimize _find_optimal_split function.
#6 opened by timmens - 0
Add honest tree feature.
#10 opened by timmens - 1
Add prediction function.
#7 opened by timmens - 1
Implement (clever) parallelization.
#5 opened by timmens - 0
Reduce no. of sorting.
#4 opened by timmens - 1
Implement maximum depth criterion.
#2 opened by timmens - 1
Reimplement allocation of node ids.
#3 opened by timmens - 2