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rstudio
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sparkxgb
R interface for XGBoost on Spark
https://spark.posit.co/packages/sparkxgb/
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Add regression example
#48
edgararuiz
opened
5 months ago
0
Prepares release
#47
edgararuiz
closed
5 months ago
0
Initial set of CI tests
#46
edgararuiz
closed
6 months ago
0
Fixes and modernizes package
#45
edgararuiz
closed
6 months ago
0
Failed to find a default value for thresholds
#44
rjscherrer
closed
1 year ago
0
I have a problem using sparkxgb.
#43
leesiwook95
opened
2 years ago
1
prepare for CRAN submission
#42
yitao-li
closed
2 years ago
0
sparkxgb : Xgboost in Databricks
#41
Beginerxyz
opened
3 years ago
1
Upgrade sparkxgb (1.4.0 & Livy connection)
#40
mzorko
opened
3 years ago
2
prepare for 0.1.1 CRAN release
#39
yitao-li
closed
3 years ago
0
Add ml_feature_importance() method for ml_model_xgboost_classification
#38
yitao-li
closed
3 years ago
0
update build status badge
#37
yitao-li
closed
3 years ago
0
avoid failure in installing Apache Spark
#36
yitao-li
closed
3 years ago
0
fix R package cache key for GitHub actions
#35
yitao-li
closed
3 years ago
0
github action should use actual R version not matrix.r as part of the cache key
#34
yitao-li
closed
3 years ago
0
fix compatibility issues with Spark 2.3 and other Spark versions
#33
yitao-li
closed
3 years ago
0
migrate CI workflow from travis to GitHub actions
#32
yitao-li
closed
3 years ago
0
migrate CI workflow to GitHub actions
#31
yitao-li
closed
3 years ago
0
select the most recent compatible version of xgboost4j-spark to work with based on (spark_version, scala_version) provided by sparklyr
#30
yitao-li
closed
3 years ago
0
updating to spark 3 and xgb 1.3.1
#29
Data-drone
closed
3 years ago
3
upgrade xgboost4j-spark version to 1.0.0
#28
yitao-li
closed
4 years ago
4
New version of xgboost4j
#27
mzorko
closed
4 years ago
4
Error in sparkxgb loading
#26
Scotturbina
opened
4 years ago
0
Scope of eval_metric in binary classification with sparkxgb
#25
mzorko
opened
4 years ago
0
Can sparkxgb work through Livy connection?
#24
mzorko
opened
4 years ago
0
sparkxgb assigns wrong probabilities when used with twoclass classification
#23
mzorko
opened
4 years ago
2
Use oraclejdk8 on Travis
#22
yutannihilation
closed
4 years ago
1
Add ml_feature_importance() method for ml_model_xgboost_classification
#21
yutannihilation
closed
3 years ago
2
Feature Request: Load local trained XGB model & inference in Spark
#20
harryprince
opened
5 years ago
0
Support custom_eval and custom_obj
#19
StatMixedML
opened
5 years ago
0
XGBoostModel training failed for rsample::attrition in Spark 2.3
#18
javierluraschi
opened
5 years ago
0
Consider `num_class` parameter to be optional
#17
javierluraschi
opened
5 years ago
0
feature request: Feature Importance of models
#16
ElianoMarques
opened
5 years ago
3
File Not Found on spark_connect
#15
MisterRuss
opened
5 years ago
3
typo
#14
kevinykuo
closed
5 years ago
0
update dependency versions
#13
kevinykuo
closed
5 years ago
0
xgboost Java class not found
#12
The-Dub
closed
5 years ago
7
Enable support for Livy and fallback
#11
javierluraschi
closed
3 years ago
1
Investigate whether we can avoid specifying num_class for classification
#10
kevinykuo
opened
5 years ago
0
Use newly exported constructors in sparklyr dev API
#9
kevinykuo
closed
5 years ago
0
update installation instruction in readme
#8
kevinykuo
closed
5 years ago
0
fix devel sparklyr version comparison
#7
kevinykuo
closed
5 years ago
0
Require devel sparklyr
#6
kevinykuo
closed
5 years ago
0
Various updates
#5
kevinykuo
closed
5 years ago
0
Windows local mode support
#4
hanfernandes
opened
5 years ago
5
Fallback to spark 2.3 jars
#3
javierluraschi
closed
5 years ago
0
Reproducible segfault
#2
kevinykuo
closed
5 years ago
2
ml_model_supervised() -> ml_construct_model_supervised()
#1
yutannihilation
closed
5 years ago
1