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arogozhnikov
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hep_ml
Machine Learning for High Energy Physics.
https://arogozhnikov.github.io/hep_ml/
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search on hyper parameters
#38
bifani
opened
8 years ago
5
Speedup with XGboost classifier runtime error
#37
adendek
closed
8 years ago
3
weight normalisation
#36
bifani
opened
8 years ago
3
List of gb_args options
#35
PietroBernardiIT
closed
7 years ago
1
Question for multidimensional fit
#34
vrivesmolina
opened
8 years ago
1
Exporting/saving/reusing the reweighting formula
#33
bifani
opened
8 years ago
4
Binned chi^2 definition
#32
alexpearce
closed
8 years ago
2
Fixed a typo
#31
KonstantinSchubert
closed
8 years ago
0
Add multiclassification example to hep_ml.nnet
#30
arogozhnikov
closed
8 years ago
1
Try travis to test hep_ml on mac os X
#29
arogozhnikov
closed
8 years ago
1
Add folding for reweighters
#28
arogozhnikov
opened
8 years ago
0
update image name
#27
anaderi
closed
9 years ago
0
Replace reweighting examples
#26
arogozhnikov
opened
9 years ago
0
Release 0.4
#25
arogozhnikov
closed
8 years ago
0
sPlot explanation and examples
#24
arogozhnikov
closed
9 years ago
1
add standalone sPlot technique
#23
arogozhnikov
closed
9 years ago
1
Docker image name fix
#22
anaderi
closed
9 years ago
0
Docker image name fix
#21
anaderi
closed
9 years ago
0
initial version of speedup module
#20
arogozhnikov
closed
9 years ago
1
Add notebooks to documentation?
#19
arogozhnikov
closed
9 years ago
1
Comparison of GB & loss policies
#18
arogozhnikov
closed
8 years ago
3
.nbrunnerdockerfile update
#17
anaderi
closed
9 years ago
0
Add data for reweighting examples and initial notebook
#16
arogozhnikov
closed
9 years ago
2
nbrunner docker file
#15
anaderi
closed
9 years ago
0
Publish data for notebooks
#14
arogozhnikov
closed
9 years ago
1
Enhancements in API
#13
arogozhnikov
closed
9 years ago
1
Add initial constant for gradient boosting
#12
arogozhnikov
closed
9 years ago
1
Add examples of very custom neural networks
#11
arogozhnikov
closed
9 years ago
1
Add MAELossFunction
#10
arogozhnikov
closed
9 years ago
1
Build autoreweighting inside each loss function
#9
arogozhnikov
closed
9 years ago
1
nnet improvements
#8
arogozhnikov
closed
8 years ago
1
Create starter version for kaggle competition
#7
arogozhnikov
closed
9 years ago
1
Rewrite readme after release
#6
arogozhnikov
closed
9 years ago
0
Default value for uniform label
#5
arogozhnikov
closed
9 years ago
1
add notebook about neural networks
#4
arogozhnikov
closed
9 years ago
1
computeSignalKnnIndices, computeKnnIndicesOfSameClass
#3
arogozhnikov
closed
9 years ago
1
Global renaming of variables to features
#2
arogozhnikov
closed
9 years ago
0
Prepare some demonstration notebook of uniformity methods
#1
arogozhnikov
closed
9 years ago
1
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