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JakeColtman
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bartpy
Bayesian Additive Regression Trees For Python
https://jakecoltman.github.io/bartpy/
MIT License
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Add license
#22
JakeColtman
closed
5 years ago
0
Extend test coverage
#21
JakeColtman
closed
5 years ago
0
Improve performance of uniform sampler
#20
JakeColtman
closed
5 years ago
0
Performance Improvements
#19
JakeColtman
closed
5 years ago
1
Simplify construction of split conditions
#18
JakeColtman
closed
5 years ago
0
Make the samplers pure
#17
JakeColtman
closed
5 years ago
0
Clearly demark conceptual boundaries within tree sampling
#16
JakeColtman
closed
5 years ago
0
Docs
#15
JakeColtman
closed
5 years ago
0
Add some documentation
#14
JakeColtman
closed
5 years ago
0
Support the use of arbitrary sklearn estimators as a base estimator
#13
JakeColtman
closed
5 years ago
0
Add an extension class to wrap statsmodels
#12
JakeColtman
closed
5 years ago
0
Add a notebook example for using common sklearn tools
#11
JakeColtman
closed
5 years ago
0
Nicer progress bars
#10
JakeColtman
closed
5 years ago
0
Fix for test failures
#9
JakeColtman
closed
5 years ago
0
Properly implement sigma
#8
JakeColtman
closed
5 years ago
0
Support out of sample prediction and access to sklearn tooling
#7
JakeColtman
closed
5 years ago
0
Better documentation
#6
JakeColtman
closed
5 years ago
0
Refactor to allow the use of non-uniform selection split samplers
#5
JakeColtman
closed
5 years ago
0
Allow access to custom sampling schedules
#4
JakeColtman
closed
5 years ago
0
V3
#3
JakeColtman
closed
5 years ago
0
Add requirements
#2
JakeColtman
closed
5 years ago
0
Speed increase
#1
JakeColtman
closed
5 years ago
0
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