reg.zhuce
3ee145b8dc
[jvm-packages] IndexOutOfBoundsException ( #1589 )
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ml.dmlc.xgboost4j.scala.spark.XGBoost.scala:51
values is empty when we meet it at first time, so values(0) throw an IndexOutOfBoundsException.
It should be dVector.values(i) instead of values(i).
2016-09-20 09:13:47 -04:00
Xin Yin
7245145712
[jvm-packages] Fixed the sanity check for parameter 'nthread' against 'spark.task.cpus'. ( #1582 )
2016-09-16 11:31:35 -04:00
Nan Zhu
4ad648e856
[jvm-packages] predictLeaf with Dataframe ( #1576 )
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* add back train method but mark as deprecated
* predictLeaf with Dataset
* fix
* fix
2016-09-15 06:15:47 -04:00
Nan Zhu
bb388cbb31
default eval func ( #1574 )
2016-09-14 13:26:16 -04:00
Nan Zhu
fb02797e2a
[jvm-packages] Integration with Spark Dataframe/Dataset ( #1559 )
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* bump up to scala 2.11
* framework of data frame integration
* test consistency between RDD and DataFrame
* order preservation
* test order preservation
* example code and fix makefile
* improve type checking
* improve APIs
* user docs
* work around travis CI's limitation on log length
* adjust test structure
* integrate with Spark -1 .x
* spark 2.x integration
* remove spark 1.x implementation but provide instructions on how to downgrade
2016-09-11 15:02:58 -04:00
Nan Zhu
6dabdd33e3
[jvm-packages] bump to next version ( #1535 )
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* bump to next version
* fix
* fix
2016-09-01 12:18:21 -04:00
Nan Zhu
7fb3fbf577
impose shuffle when creating training RDD ( #1531 )
2016-08-31 07:34:10 -04:00
Nan Zhu
3f198b9fef
[jvm-packages] allow training with missing values in xgboost-spark ( #1525 )
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* allow training with missing values in xgboost-spark
* fix compilation error
* fix bug
2016-08-29 21:45:49 -04:00
Nan Zhu
74db1e8867
[jvm-packages] remove APIs with DMatrix from xgboost-spark ( #1519 )
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* test consistency of prediction functions between DMatrix and RDD
* remove APIs with DMatrix from xgboost-spark
* fix compilation error in xgboost4j-example
* fix test cases
2016-08-28 21:25:49 -04:00
Nan Zhu
6d65aae091
[jvm-packages] test consistency of prediction functions with DMatrix and RDD ( #1518 )
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* test consistency of prediction functions between DMatrix and RDD
* fix the failed test cases
2016-08-28 20:27:03 -04:00
Nan Zhu
d7f79255ec
improve test of save/load model ( #1515 )
2016-08-27 17:16:22 -04:00
Nan Zhu
dc1125eb56
evaluation with RDD data ( #1492 )
2016-08-20 18:31:10 -04:00
Nan Zhu
582ee63e34
enable train multiple models by distinguishing stage IDs ( #1493 )
2016-08-20 16:37:07 -04:00
Fangzhou
a8adf16228
fix bug: doing rabit call after finalize in spark prediction phase ( #1420 )
2016-07-28 23:11:20 -05:00
Earthson Lu
d29edc677c
fix #1377 spark-mllib scope: default => provided ( #1381 )
2016-07-20 23:10:49 -04:00
convexquad
313764b3be
Expose predictLeaf functionality in Scala XGBoostModel ( #1351 )
2016-07-12 06:55:24 -04:00
Rahul
f14c160f4f
[jvm-packages][xgboost4j-spark][Minor] Move sparkContext dependency from the XGBoostModel ( #1335 )
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* Move sparkContext dependency from the XGBoostModel
* Update Spark example to declare SparkContext as implict
2016-07-08 06:43:33 -04:00
Nan Zhu
bd5b07873e
[jvm-packages] create dmatrix with specified missing value ( #1272 )
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* create dmatrix with specified missing value
* update dmlc-core
* support for predict method in spark package
repartitioning
work around
* add more elements to work around training set empty partition issue
2016-06-21 17:35:17 -04:00
Nan Zhu
c9a73fe2a9
explicitly throw exception when detecting empty partition in training dataset ( #1281 )
2016-06-15 16:03:37 -04:00
Nan Zhu
c6631ad2ed
specify spark version ( #1224 )
2016-05-24 18:19:32 -04:00
Nan Zhu
c85b9012c6
[jvm-packages] xgboost4j-spark external memory ( #1219 )
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* implement external memory support for XGBoost4J
* remove extra space
* enable external memory for prediction
* update doc
2016-05-22 14:01:28 -04:00
CodingCat
d8535313eb
allow empty partitions
2016-03-23 12:30:06 -04:00
CodingCat
55ab1c6a22
adjust numWorkers for test
2016-03-18 10:34:36 -04:00
CodingCat
3a951d0ab8
getter of XGBoostModel
2016-03-14 07:26:51 -04:00
Nan Zhu
e3fa7753f5
Merge branch 'master' into master
2016-03-13 22:46:38 -04:00
CodingCat
6f92f1c117
update spark version to 1.6.1
2016-03-13 22:46:06 -04:00
CodingCat
f2ef958ebb
support kryo serialization
2016-03-13 11:55:14 -04:00
CodingCat
16b9e92328
force the user to set number of workers
2016-03-12 13:33:57 -05:00
CodingCat
5f441a29a8
set nthread to spark.task.cpus by default
2016-03-11 20:07:09 -05:00
CodingCat
400b1faecc
adjust the API signature as well as the docs
2016-03-11 15:22:44 -05:00
CodingCat
aca0096b33
more updates for Flink
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more fix
2016-03-11 10:15:49 -05:00
CodingCat
43d7a85bc9
change the API name since we support not only HDFS and local file system
2016-03-11 10:05:32 -05:00
Shaform
6558ef3273
support different types of filesystems
2016-03-11 22:06:40 +08:00
CodingCat
d47df5c1d8
allow the user to specify the worker number and avoid unnecessary shuffle
2016-03-10 06:58:30 -05:00
CodingCat
e0a3f1c000
nthread no larger than spark.task.cpus
2016-03-10 05:51:07 -05:00
CodingCat
005b1276d0
remove duplicate in stream close
2016-03-09 12:33:49 -05:00
CodingCat
852c5a4b32
code formatting in XGBoostModel
2016-03-09 12:31:35 -05:00
CodingCat
909c6af330
add test resources manually
2016-03-08 18:43:30 -05:00
CodingCat
fa03aaeb63
revise current API
2016-03-08 17:18:55 -05:00
tqchen
435a0425b9
[Spark] Refactor train, predict, add save
2016-03-06 21:51:08 -08:00
tqchen
c05c5bc7bc
[DOC-JVM] Refactor JVM docs
2016-03-06 20:42:01 -08:00
CodingCat
718a9d8c96
use another thread to control spark job
2016-03-06 15:46:27 -05:00
CodingCat
6499422e90
fix the merge
2016-03-06 15:22:05 -05:00
CodingCat
50337d1906
fix rabitEnv
2016-03-06 14:56:49 -05:00
CodingCat
808e30f9fc
example of DistTrainWithSpark and trigger job with foreachPartition
2016-03-06 14:34:23 -05:00
CodingCat
f768edfede
adjust the return values of RabitTracker.waitFor(), remove typesafe.Config
2016-03-06 08:44:04 -05:00
CodingCat
130ca7b00c
test case for XGBoostSpark
2016-03-05 19:41:26 -05:00
CodingCat
f0647ec76d
test resources
2016-03-05 18:18:07 -05:00
CodingCat
5c1af13f84
distributed in RDD
2016-03-05 17:50:40 -05:00
CodingCat
fb41e4e673
spark with new labeledpoint
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fix import order
2016-03-05 17:22:34 -05:00