jpmml jpmml-xgboost issues

jpmml / jpmml-xgboost

Java library and command-line application for converting XGBoost models to PMML

GNU Affero General Public License v3.0

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issues

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PyPMML is making incorrect predictions with XGBoost PMML models

#76 neham764 closed 1 week ago
4
Predictions not matching with PMML and XGBoost Model

#75 Shashwat3011 closed 2 months ago
9
The `--fmap-input` command-line option may not have effect

#74 solutionjh closed 1 month ago
5
fix source RB issue

#73 hboutemy opened 4 months ago
2
Irreproducible XGBoost predictions when using Nyoka and PyPMML

#72 Digbijaynk01 closed 7 months ago
1
Irreproducible XGBoost predictions when using Nyoka and PyPMML

#71 Digbijaynk01 closed 7 months ago
1
how to save a 4.3 version pmml model using jpmml-xgboost code?

#69 andyhascutename closed 1 month ago
3
Support for multi-target models

#70 situjunhao closed 8 months ago
6
Old JPMML-XGBoost library version can't parse JSON/UBJSON model files

#68 axemixer closed 1 year ago
3
Support for xgboost 2.0.0

#66 szymoonl closed 9 months ago
0
[bug] incorrect rounding of small negative float

#65 lev112 closed 2 years ago
4
Document JPMML-XGBoost vs. XGBoost version compatibility

#64 vruusmann closed 1 year ago
0
Support for `survival:aft` objective

#63 WeijiaZhang24 closed 1 year ago
6
It seems that the enable_categorical of xgboost is not supported ？

#67 OnlyFor closed 1 year ago
15
PMML export fails for XGBoost 1.6.0

#62 tdoublep closed 2 years ago
0
Python error parsing feature map

#61 toonvds closed 2 years ago
1
jpmml-xgboost converts Chinese variables and cannot be displayed normally

#60 xiao-yue1 closed 2 years ago
6
Support for `reg:pseudohubererror` objective function

#59 zhengwei14 closed 2 years ago
2
Wrong number of features in the R script sample from README.md

#58 kdutkowski closed 2 years ago
3
Could org.jpmml:jpmml-xgboost:1.5-SNAPSHOT drop off redundant dependencies to loose weight?

#57 Celebrate-future closed 3 years ago
1
Specifying missingValueStrategy for python xgboost

#56 nedwebster closed 3 years ago
2
How to generate fmap file

#55 gilmahler closed 3 years ago
1
Support xgboost 1.3.X

#54 OnlyFor closed 3 years ago
8
Ensure compatibility with XGBoost 1.2.X

#53 vruusmann closed 3 years ago
1
Impossible to run sklearn2pmml

#50 sharonzagh closed 3 years ago
4
NPE with weighted sum

#49 potz378 closed 4 years ago
1
Data in reserved header area

#48 spencerhs5 closed 4 years ago
6
Suppress/Discard no-op decision trees from the ensemble

#47 kelierlawu closed 4 years ago
5
xgboost pmml file output is null

#46 kelierlawu closed 4 years ago
1
issue with binary:hinge

#45 tuanvayn closed 4 years ago
1
Exception in thread "main" java.lang.IndexOutOfBoundsException: Index: 166, Size: 95

#44 songhuiming closed 5 years ago
5
Update the names of objective functions

#43 vruusmann closed 4 years ago
0
PMML model has different prediction result with xgboost model

#42 Ying456123 closed 5 years ago
9
gblinear is not supported

#41 Ying456123 opened 5 years ago
0
'binary:hinge' are not supported

#40 Ying456123 closed 4 years ago
2
model generated by treelite.export_as_xgboost can be loaded by xgb.booster but failed to be converted to pmml

#39 littlebeanfang closed 5 years ago
3
missing 'feature' in outputField

#38 Ying456123 closed 5 years ago
2
Add support for the `dart` booster type

#37 zx84289061 closed 5 years ago
10
error while exporting XGBoostClassifier to PMML

#36 emilpop-au closed 5 years ago
3
spark+xgb+pipeline -> PMML file

#35 leemoor closed 5 years ago
1
Support for `multi:softprob` classification with just two classes

#34 vruusmann closed 5 years ago
0
Translation of Non-SKLearn Python XGB Models

#33 Geoiv closed 5 years ago
2
the score from json file of xgboost doesnot match with xgboost sklearn2pmml as well as the value field . why?

#32 Ani24may closed 6 years ago
3
question: does this project support model saved at Big Endian machine

#31 Ying456123 closed 6 years ago
5
question: which version of XGBoost are supported when using jpmml-xgboost version 1.3.2

#30 Ying456123 closed 6 years ago
4
Incorrect formatting of category levels for floating-point target fields

#29 vruusmann closed 6 years ago
1
Add `OPTION_MISSING_VALUE` conversion option

#28 52DL closed 2 years ago
6
XGBoost Spark and PMML score mismatch

#27 srivatsan88 closed 6 years ago
4
Can we read a class like LearnerModelParam directly from byte array given by xgboost JNI

#26 USCYuandaDu closed 6 years ago
1
How to add recordCount and algorithm name to xgboost-pmml ?

#25 USCYuandaDu closed 6 years ago
10