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Blunde1
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agtboost
Adaptive and automatic gradient boosting computations.
MIT License
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Efficient serialization of agtboost model objects
#59
Blunde1
opened
2 years ago
1
Entirely numerical agtboost model class
#58
Blunde1
opened
2 years ago
0
Refactor serialization to be more efficient
#57
Blunde1
opened
2 years ago
0
Make agtboost model object entirely numerical
#56
Blunde1
opened
2 years ago
0
Memory leaks in gbt.load()
#55
sondreus
opened
2 years ago
18
demo poison-regression.R missing package name
#54
cacoch
opened
2 years ago
0
Moved non-linearity check from error to warning
#53
sondreus
closed
2 years ago
1
Release 0.9.3
#52
Blunde1
opened
2 years ago
1
Infinite boosting rounds with "logloss" loss function
#51
Harrison4192
opened
2 years ago
4
Stripping debugging information does not flow with CRAN
#50
Blunde1
opened
2 years ago
0
Prepare release 0.9.2 of agtboost
#49
Blunde1
closed
2 years ago
2
Use github-actions instead of Travis
#48
Blunde1
opened
2 years ago
0
Optimal initial prediction
#47
Blunde1
closed
2 years ago
1
Optimal initial prediction
#46
Blunde1
closed
2 years ago
0
Stable low frequent poisson
#45
Blunde1
closed
2 years ago
2
agtboost tests
#44
Blunde1
opened
2 years ago
0
Low-frequent count-data produces root-trees and does not converge
#43
Blunde1
closed
2 years ago
0
Monotone constraints
#42
Blunde1
opened
2 years ago
0
Fast histogram algorithm
#41
Blunde1
opened
2 years ago
0
Influence-adjusted derivatives-calculations
#40
Blunde1
opened
2 years ago
0
Automatic stochastic (down)sampling in `agtboost`
#39
Blunde1
opened
2 years ago
0
Automatic L2-regularization
#38
Blunde1
opened
2 years ago
0
Crate viginette or updated documentation / illustration of theory
#37
Blunde1
opened
2 years ago
0
Let users define custom loss-functions
#36
Blunde1
opened
2 years ago
0
Let `agtboost` handle random effects / latent variables
#35
Blunde1
opened
2 years ago
0
Add `offset` possibility to `gbt.train` and `predict`
#34
Blunde1
closed
2 years ago
0
Handle categorical features internally
#33
Blunde1
opened
2 years ago
0
Obtain `xgboost` and `lightgbm` parameters from trained `agtboost` model
#32
Blunde1
closed
2 years ago
0
Problems with scalability on size of design-matrix
#31
Blunde1
opened
2 years ago
0
Refactor codebase
#30
Blunde1
opened
2 years ago
0
Intercept attribute
#29
Blunde1
closed
2 years ago
3
Convert agtboost model to xgboost hyperparameters
#28
Blunde1
closed
2 years ago
0
Avoid seeking by failing tree parsing when the first node parsing fails
#27
lukasappelhans
closed
3 years ago
3
NaN predictions
#26
ldesreumaux
opened
3 years ago
4
Quick look at performance
#25
szilard
opened
4 years ago
2
Add sparsity and agtboost matrix class to hold pointer to C++ design matrix and response vector
#24
Blunde1
opened
4 years ago
1
Shapley-values for agtboost models
#23
Blunde1
opened
4 years ago
0
passing indices instead of copying data-subsets
#22
Blunde1
closed
4 years ago
0
name change to agtboost, installs and runs locally
#21
Blunde1
closed
4 years ago
0
Preparing `gbtorch` for package-article, and v1.0.0
#20
Blunde1
closed
4 years ago
0
fixed small bug in weighting
#19
Blunde1
closed
4 years ago
0
Add paralellisation with `OpenMP`
#18
Blunde1
opened
4 years ago
2
Save gbtorch model object
#17
Blunde1
closed
4 years ago
1
Let predict return g^{-1}(f(x))
#16
Blunde1
closed
4 years ago
1
Appendix insights
#15
Blunde1
closed
4 years ago
0
Zero inflation
#14
Blunde1
closed
4 years ago
0
Poisson gamma mixture
#13
Blunde1
closed
4 years ago
0
Mmcir cdf gumbel
#12
Blunde1
closed
4 years ago
0
Mmcir cdf gumbel
#11
Blunde1
closed
4 years ago
1
Empirical cdf for max of max cir
#10
Blunde1
closed
4 years ago
1
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