Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Jump to bottom

[Urgent] Rabit tracker.py is missing from xgboost4j-gpu_2.12 1.5.0 maven JAR #7449

Closed
dbczumar opened this issue Nov 19, 2021 · 8 comments
Closed

[Urgent] Rabit tracker.py is missing from xgboost4j-gpu_2.12 1.5.0 maven JAR #7449

dbczumar opened this issue Nov 19, 2021 · 8 comments

Comments

@dbczumar
Copy link

While attempting to fit an ml.dmlc.xgboost4j.scala.spark.XGBoostClassifier with ml.dmlc:xgboost4j-gpu_2.12:1.5.0 and ml.dmlc:xgboost4j-spark-gpu_2.12:1.5.0 (https://mvnrepository.com/artifact/ml.dmlc/xgboost4j-gpu_2.12/1.5.0), I observed the following error:

21/11/19 05:34:35 INFO XGBoostClassifier: ml.dmlc.xgboost4j.scala.spark.XGBoostClassifier inferred 1 classes for labelCol=xgbc_0349f543fcdf__labelCol since numClasses was not specified in the column metadata.
21/11/19 05:34:35 INFO CodeGenerator: Code generated in 65.294317 ms
21/11/19 05:34:35 INFO XGBoostSpark: Running XGBoost 1.5.0 with parameters:
alpha -> 0.0
min_child_weight -> 1.0
sample_type -> uniform
base_score -> 0.5
rabit_timeout -> -1
colsample_bylevel -> 1.0
grow_policy -> depthwise
skip_drop -> 0.0
lambda_bias -> 0.0
silent -> 0
scale_pos_weight -> 1.0
seed -> 0
cache_training_set -> false
features_col -> features
num_early_stopping_rounds -> 0
label_col -> approved
num_workers -> 1
subsample -> 1.0
lambda -> 1.0
max_depth -> 2
probability_col -> probability
raw_prediction_col -> rawPrediction
kill_spark_context_on_worker_failure -> true
tree_limit -> 0
custom_eval -> null
dmlc_worker_connect_retry -> 5
rate_drop -> 0.0
max_bin -> 256
train_test_ratio -> 1.0
use_external_memory -> false
objective -> binary:logistic
eval_metric -> logloss
num_round -> 15
timeout_request_workers -> 1800000
missing -> NaN
rabit_ring_reduce_threshold -> 32768
checkpoint_path -> 
tracker_conf -> TrackerConf(0,python)
tree_method -> gpu_hist
max_delta_step -> 0.0
eta -> 0.3
verbosity -> 1
colsample_bytree -> 1.0
normalize_type -> tree
allow_non_zero_for_missing -> false
custom_obj -> null
gamma -> 0.0
sketch_eps -> 0.03
nthread -> 1
prediction_col -> prediction
checkpoint_interval -> -1
21/11/19 05:34:35 WARN XGBoostSpark: train_test_ratio is deprecated since XGBoost 0.82, we recommend to explicitly pass a training and multiple evaluation datasets by passing 'eval_sets' and 'eval_set_names'
21/11/19 05:34:35 ERROR RabitTracker: load tracker library failed.
21/11/19 05:34:35 ERROR RabitTracker: java.io.FileNotFoundException: File /tracker.py was not found inside JAR.
21/11/19 05:34:35 INFO RabitTracker$TrackerProcessLogger: python: can't open file 'null': [Errno 2] No such file or directory
21/11/19 05:34:35 INFO RabitTracker$TrackerProcessLogger: Tracker Process ends with exit code 2
21/11/19 05:34:35 INFO XGBoostSpark: starting training with timeout set as 1800000 ms for waiting for resources
21/11/19 05:34:35 INFO RabitTracker: Tracker Process ends with exit code 2
21/11/19 05:34:35 INFO XGBoostSpark: Rabit returns with exit code 2
21/11/19 05:34:35 ERROR XGBoostSpark: the job was aborted due to 
ml.dmlc.xgboost4j.java.XGBoostError: XGBoostModel training failed
	at ml.dmlc.xgboost4j.scala.spark.XGBoost$.postTrackerReturnProcessing(XGBoost.scala:750)
	at ml.dmlc.xgboost4j.scala.spark.XGBoost$.trainDistributed(XGBoost.scala:624)
	at ml.dmlc.xgboost4j.scala.spark.XGBoostClassifier.train(XGBoostClassifier.scala:199)
	at ml.dmlc.xgboost4j.scala.spark.XGBoostClassifier.train(XGBoostClassifier.scala:40)
	at org.apache.spark.ml.Predictor.fit(Predictor.scala:151)
	at org.apache.spark.ml.Predictor.fit(Predictor.scala:115)
	at org.apache.spark.ml.Pipeline.$anonfun$fit$5(Pipeline.scala:151)
	at org.apache.spark.ml.MLEvents.withFitEvent(events.scala:131)
	at org.apache.spark.ml.MLEvents.withFitEvent$(events.scala:124)
	at org.apache.spark.ml.util.Instrumentation.withFitEvent(Instrumentation.scala:43)
	at org.apache.spark.ml.Pipeline.$anonfun$fit$4(Pipeline.scala:151)
	at scala.collection.Iterator.foreach(Iterator.scala:943)
	at scala.collection.Iterator.foreach$(Iterator.scala:943)
	at scala.collection.AbstractIterator.foreach(Iterator.scala:1431)
	at org.apache.spark.ml.Pipeline.$anonfun$fit$2(Pipeline.scala:147)
	at org.apache.spark.ml.MLEvents.withFitEvent(events.scala:131)
	at org.apache.spark.ml.MLEvents.withFitEvent$(events.scala:124)
	at org.apache.spark.ml.util.Instrumentation.withFitEvent(Instrumentation.scala:43)
	at org.apache.spark.ml.Pipeline.$anonfun$fit$1(Pipeline.scala:133)
	at org.apache.spark.ml.util.Instrumentation$.$anonfun$instrumented$1(Instrumentation.scala:284)
	at scala.util.Try$.apply(Try.scala:213)
	at org.apache.spark.ml.util.Instrumentation$.instrumented(Instrumentation.scala:284)
	at org.apache.spark.ml.Pipeline.fit(Pipeline.scala:133)
	at $line49c7dc07c68f459591bffad31c383db967.$read$$iw$$iw$$iw$$iw$$iw$$iw.<init>(command-1886180595162807:1)
	at $line49c7dc07c68f459591bffad31c383db967.$read$$iw$$iw$$iw$$iw$$iw.<init>(command-1886180595162807:48)
	at $line49c7dc07c68f459591bffad31c383db967.$read$$iw$$iw$$iw$$iw.<init>(command-1886180595162807:50)
	at $line49c7dc07c68f459591bffad31c383db967.$read$$iw$$iw$$iw.<init>(command-1886180595162807:52)
	at $line49c7dc07c68f459591bffad31c383db967.$read$$iw$$iw.<init>(command-1886180595162807:54)
	at $line49c7dc07c68f459591bffad31c383db967.$read$$iw.<init>(command-1886180595162807:56)
	at $line49c7dc07c68f459591bffad31c383db967.$read.<init>(command-1886180595162807:58)
	at $line49c7dc07c68f459591bffad31c383db967.$read$.<init>(command-1886180595162807:62)
	at $line49c7dc07c68f459591bffad31c383db967.$read$.<clinit>(command-1886180595162807)
	at $line49c7dc07c68f459591bffad31c383db967.$eval$.$print$lzycompute(<notebook>:7)
	at $line49c7dc07c68f459591bffad31c383db967.$eval$.$print(<notebook>:6)
	at $line49c7dc07c68f459591bffad31c383db967.$eval.$print(<notebook>)
	at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
	at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
	at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
	at java.lang.reflect.Method.invoke(Method.java:498)
	at scala.tools.nsc.interpreter.IMain$ReadEvalPrint.call(IMain.scala:747)
	at scala.tools.nsc.interpreter.IMain$Request.loadAndRun(IMain.scala:1020)
	at scala.tools.nsc.interpreter.IMain.$anonfun$interpret$1(IMain.scala:568)
	at scala.reflect.internal.util.ScalaClassLoader.asContext(ScalaClassLoader.scala:36)
	at scala.reflect.internal.util.ScalaClassLoader.asContext$(ScalaClassLoader.scala:116)
	at scala.reflect.internal.util.AbstractFileClassLoader.asContext(AbstractFileClassLoader.scala:41)
	at scala.tools.nsc.interpreter.IMain.loadAndRunReq$1(IMain.scala:567)
	at scala.tools.nsc.interpreter.IMain.interpret(IMain.scala:594)
	at scala.tools.nsc.interpreter.IMain.interpret(IMain.scala:564)
	at com.databricks.backend.daemon.driver.DriverILoop.execute(DriverILoop.scala:219)
	at com.databricks.backend.daemon.driver.ScalaDriverLocal.$anonfun$repl$1(ScalaDriverLocal.scala:235)
	at scala.runtime.java8.JFunction0$mcV$sp.apply(JFunction0$mcV$sp.java:23)
	at com.databricks.backend.daemon.driver.DriverLocal$TrapExitInternal$.trapExit(DriverLocal.scala:926)
	at com.databricks.backend.daemon.driver.DriverLocal$TrapExit$.apply(DriverLocal.scala:879)
	at com.databricks.backend.daemon.driver.ScalaDriverLocal.repl(ScalaDriverLocal.scala:235)
	at com.databricks.backend.daemon.driver.DriverLocal.$anonfun$execute$13(DriverLocal.scala:564)
	at com.databricks.logging.UsageLogging.$anonfun$withAttributionContext$1(UsageLogging.scala:215)
	at scala.util.DynamicVariable.withValue(DynamicVariable.scala:62)
	at com.databricks.logging.AttributionContext$.withValue(AttributionContext.scala:95)
	at com.databricks.logging.UsageLogging.withAttributionContext(UsageLogging.scala:213)
	at com.databricks.logging.UsageLogging.withAttributionContext$(UsageLogging.scala:210)
	at com.databricks.backend.daemon.driver.DriverLocal.withAttributionContext(DriverLocal.scala:50)
	at com.databricks.logging.UsageLogging.withAttributionTags(UsageLogging.scala:251)
	at com.databricks.logging.UsageLogging.withAttributionTags$(UsageLogging.scala:243)
	at com.databricks.backend.daemon.driver.DriverLocal.withAttributionTags(DriverLocal.scala:50)
	at com.databricks.backend.daemon.driver.DriverLocal.execute(DriverLocal.scala:541)
	at com.databricks.backend.daemon.driver.DriverWrapper.$anonfun$tryExecutingCommand$1(DriverWrapper.scala:693)
	at scala.util.Try$.apply(Try.scala:213)
	at com.databricks.backend.daemon.driver.DriverWrapper.tryExecutingCommand(DriverWrapper.scala:685)
	at com.databricks.backend.daemon.driver.DriverWrapper.getCommandOutputAndError(DriverWrapper.scala:526)
	at com.databricks.backend.daemon.driver.DriverWrapper.executeCommand(DriverWrapper.scala:638)
	at com.databricks.backend.daemon.driver.DriverWrapper.runInnerLoop(DriverWrapper.scala:431)
	at com.databricks.backend.daemon.driver.DriverWrapper.runInner(DriverWrapper.scala:374)
	at com.databricks.backend.daemon.driver.DriverWrapper.run(DriverWrapper.scala:225)
	at java.lang.Thread.run(Thread.java:748)
21/11/19 05:34:35 INFO HiveServer2: Shutting down HiveServer2
21/11/19 05:34:35 INFO ThriftCLIService: Caught InterruptedException. Shutting down thrift server.
21/11/19 05:34:35 INFO AbstractConnector: Stopped ServerConnector@21a462ce{SSL, (ssl, http/1.1)}{0.0.0.0:10000}
21/11/19 05:34:35 INFO session: node0 Stopped scavenging
21/11/19 05:34:35 INFO AbstractConnector: Stopped Spark@5f79b206{HTTP/1.1, (http/1.1)}{10.68.151.248:46359}
21/11/19 05:34:35 INFO ContextHandler: Stopped o.e.j.s.ServletContextHandler@18174bd9{/,null,STOPPED}
21/11/19 05:34:35 INFO ThriftCLIService: Thrift HTTP server has been stopped
21/11/19 05:34:35 INFO AbstractService: Service:ThriftHttpCLIService is stopped.
21/11/19 05:34:35 INFO AbstractService: Service:OperationManager is stopped.
21/11/19 05:34:35 INFO AbstractService: Service:SessionManager is stopped.
21/11/19 05:34:35 INFO AbstractService: Service:CLIService is stopped.
21/11/19 05:34:35 INFO AbstractService: Service:HiveServer2 is stopped.
21/11/19 05:34:35 INFO SparkUI: Stopped Spark web UI at http://10.68.151.248:46359
21/11/19 05:34:35 INFO StandaloneSchedulerBackend: Shutting down all executors
21/11/19 05:34:35 INFO CoarseGrainedSchedulerBackend$DriverEndpoint: Asking each executor to shut down
21/11/19 05:34:35 ERROR RabitTracker: Uncaught exception thrown by worker:
java.lang.IllegalStateException: SparkContext has been shutdown
	at org.apache.spark.SparkContext.runJobInternal(SparkContext.scala:2486)
	at org.apache.spark.SparkContext.runJob(SparkContext.scala:2477)
	at org.apache.spark.SparkContext.runJob(SparkContext.scala:2515)
	at org.apache.spark.SparkContext.runJob(SparkContext.scala:2534)
	at org.apache.spark.SparkContext.runJob(SparkContext.scala:2559)
	at org.apache.spark.rdd.RDD.$anonfun$foreachPartition$1(RDD.scala:1025)
	at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:165)
	at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:125)
	at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:112)
	at org.apache.spark.rdd.RDD.withScope(RDD.scala:419)
	at org.apache.spark.rdd.RDD.foreachPartition(RDD.scala:1023)
	at ml.dmlc.xgboost4j.scala.spark.XGBoost$$anon$1.run(XGBoost.scala:612)
21/11/19 05:34:35 ERROR RabitTracker: java.lang.InterruptedException: sleep interrupted

Downloading and inspecting the JAR contents from Maven indicates that tracker.py is missing from ml.dmlc:xgboost4j-gpu_2.12:1.5.0 entirely. Perhaps some build steps were missed? (e.g. similar to #1294 (comment)).

$ mvn dependency:get -Dartifact=ml.dmlc:xgboost4j-gpu_2.12:1.5.0
corey.zumar@C02F17H3MD6R ~/.m2/repository/ml/dmlc/xgboost4j-gpu_2.12/1.5.0 $ jar -tf xgboost4j-gpu_2.12-1.5.0.jar | grep tracker
(base) corey.zumar@C02F17H3MD6R ~/.m2/repository/ml/dmlc/xgboost4j-gpu_2.12/1.5.0 $

In contrast, this file appears to be present in the CPU-only version (ml.dmlc:xgboost4j_2.12:1.5.0):

$ mvn dependency:get -Dartifact=ml.dmlc:xgboost4j_2.12:1.5.0
(base) corey.zumar@C02F17H3MD6R ~/.m2/repository/ml/dmlc/xgboost4j_2.12/1.5.0 $ jar -tf xgboost4j_2.12-1.5.0.jar | grep tracker
tracker.py
(base) corey.zumar@C02F17H3MD6R ~/.m2/repository/ml/dmlc/xgboost4j_2.12/1.5.0 $

For reference, here's the full contents of the impacted xgboost4j-gpu_2.12-1.5.0.jar:

(base) corey.zumar@C02F17H3MD6R ~/.m2/repository/ml/dmlc/xgboost4j-gpu_2.12/1.5.0 $ jar -tf xgboost4j-gpu_2.12-1.5.0.jar
META-INF/MANIFEST.MF
META-INF/
ml/
ml/dmlc/
ml/dmlc/xgboost4j/
ml/dmlc/xgboost4j/gpu/
ml/dmlc/xgboost4j/gpu/java/
ml/dmlc/xgboost4j/java/
ml/dmlc/xgboost4j/java/util/
ml/dmlc/xgboost4j/scala/
ml/dmlc/xgboost4j/scala/rabit/
ml/dmlc/xgboost4j/scala/rabit/handler/
ml/dmlc/xgboost4j/scala/rabit/util/
lib/
lib/linux/
lib/linux/x86_64/
META-INF/maven/
META-INF/maven/ml.dmlc/
META-INF/maven/ml.dmlc/xgboost4j-gpu_2.12/
xgboost4j-version.properties
ml/dmlc/xgboost4j/java/Rabit.class
ml/dmlc/xgboost4j/scala/rabit/handler/RabitWorkerHandler$$anonfun$4.class
ml/dmlc/xgboost4j/scala/rabit/handler/RabitWorkerHandler$AwaitingConnections$.class
ml/dmlc/xgboost4j/scala/rabit/handler/RabitWorkerHandler$SetupComplete$.class
ml/dmlc/xgboost4j/scala/rabit/handler/RabitTrackerHandler$StartTracker.class
ml/dmlc/xgboost4j/LabeledPoint.class
ml/dmlc/xgboost4j/gpu/java/CudfUtils$1.class
ml/dmlc/xgboost4j/java/GpuTestSuite.class
ml/dmlc/xgboost4j/scala/rabit/handler/RabitWorkerHandler$DataStruct$.class
ml/dmlc/xgboost4j/scala/rabit/handler/RabitWorkerHandler$RabitWorkerRequest.class
ml/dmlc/xgboost4j/scala/rabit/handler/RabitWorkerHandler$ReduceWaitCount.class
ml/dmlc/xgboost4j/scala/rabit/handler/RabitWorkerHandler$IntraWorkerMessage.class
ml/dmlc/xgboost4j/scala/rabit/handler/RabitWorkerHandler$WorkerRecover$.class
ml/dmlc/xgboost4j/scala/rabit/RabitTracker$.class
ml/dmlc/xgboost4j/gpu/java/CudfUtils.class
ml/dmlc/xgboost4j/java/XGBoostError.class
ml/dmlc/xgboost4j/java/RabitTracker$1.class
ml/dmlc/xgboost4j/scala/rabit/handler/RabitWorkerHandler$$anonfun$6.class
ml/dmlc/xgboost4j/scala/rabit/handler/RabitWorkerHandler$TrackerCommand.class
ml/dmlc/xgboost4j/scala/rabit/handler/RabitWorkerHandler$WorkerStart.class
ml/dmlc/xgboost4j/scala/rabit/handler/RabitWorkerHandler$WorkerRecover.class
ml/dmlc/xgboost4j/scala/rabit/util/AssignedRank$.class
ml/dmlc/xgboost4j/gpu/java/CudfColumnBatch.class
ml/dmlc/xgboost4j/java/RabitTracker$TrackerProcessLogger.class
ml/dmlc/xgboost4j/java/IRabitTracker$TrackerStatus.class
ml/dmlc/xgboost4j/scala/rabit/handler/RabitWorkerHandler$IntSeqField$.class
ml/dmlc/xgboost4j/scala/rabit/handler/RabitTrackerHandler$TrackerControlMessage.class
ml/dmlc/xgboost4j/scala/rabit/handler/RabitWorkerHandler$ReduceWaitCount$.class
ml/dmlc/xgboost4j/scala/rabit/handler/RabitTrackerHandler.class
ml/dmlc/xgboost4j/scala/rabit/util/RabitTrackerHelpers.class
META-INF/maven/ml.dmlc/xgboost4j-gpu_2.12/pom.properties
ml/dmlc/xgboost4j/gpu/java/CudfColumn.class
ml/dmlc/xgboost4j/java/DMatrix$SparseType.class
ml/dmlc/xgboost4j/java/ExternalCheckpointManager.class
ml/dmlc/xgboost4j/scala/rabit/handler/RabitWorkerHandler$AcknowledgeAcceptance$.class
ml/dmlc/xgboost4j/scala/rabit/handler/RabitTrackerHandler$InterruptTracker$.class
ml/dmlc/xgboost4j/scala/rabit/handler/RabitWorkerHandler$RequestAwaitConnWorkers$.class
ml/dmlc/xgboost4j/scala/rabit/handler/RabitWorkerHandler$.class
ml/dmlc/xgboost4j/scala/rabit/util/RabitTrackerHelpers$ByteBufferHelpers.class
ml/dmlc/xgboost4j/gpu/java/CudfUtils$Builder.class
ml/dmlc/xgboost4j/java/IEvaluation.class
ml/dmlc/xgboost4j/java/XGBoost$CVPack.class
ml/dmlc/xgboost4j/scala/rabit/handler/RabitTrackerHandler$$anonfun$receive$1.class
ml/dmlc/xgboost4j/scala/rabit/handler/RabitWorkerHandler$DropFromWaitingList$.class
ml/dmlc/xgboost4j/scala/rabit/handler/RabitWorkerHandler$$anonfun$3.class
ml/dmlc/xgboost4j/scala/rabit/handler/RabitWorkerHandler$AwaitingErrorCount$.class
ml/dmlc/xgboost4j/scala/rabit/handler/RabitWorkerHandler$DivulgedWorkerHostPort$.class
ml/dmlc/xgboost4j/scala/rabit/handler/RabitTrackerHandler$InterruptTracker.class
META-INF/maven/ml.dmlc/xgboost4j-gpu_2.12/pom.xml
ml/dmlc/xgboost4j/java/Booster.class
ml/dmlc/xgboost4j/java/NativeLibLoader$OS.class
ml/dmlc/xgboost4j/scala/XGBoost.class
ml/dmlc/xgboost4j/scala/XGBoost$.class
ml/dmlc/xgboost4j/scala/rabit/handler/RabitTrackerHandler$RequestCompletionFuture$.class
ml/dmlc/xgboost4j/scala/rabit/handler/RabitWorkerHandler$StringField$.class
ml/dmlc/xgboost4j/scala/rabit/handler/RabitWorkerHandler$DataStruct.class
ml/dmlc/xgboost4j/scala/ExternalCheckpointParams.class
ml/dmlc/xgboost4j/java/XGBoost.class
ml/dmlc/xgboost4j/java/Column.class
ml/dmlc/xgboost4j/java/RabitTracker.class
ml/dmlc/xgboost4j/scala/ObjectiveTrait.class
ml/dmlc/xgboost4j/scala/rabit/handler/RabitWorkerHandler$$anonfun$7.class
ml/dmlc/xgboost4j/scala/rabit/handler/RabitWorkerHandler$DropFromWaitingList.class
ml/dmlc/xgboost4j/scala/rabit/handler/RabitWorkerHandler$WorkerStarted.class
ml/dmlc/xgboost4j/scala/rabit/handler/RabitWorkerHandler$WorkerShutdown$.class
ml/dmlc/xgboost4j/LabeledPoint$.class
ml/dmlc/xgboost4j/java/DeviceQuantileDMatrix.class
ml/dmlc/xgboost4j/java/XGBoostJNI.class
ml/dmlc/xgboost4j/java/IRabitTracker.class
ml/dmlc/xgboost4j/java/IObjective.class
ml/dmlc/xgboost4j/scala/rabit/handler/RabitWorkerHandler$$anonfun$1.class
ml/dmlc/xgboost4j/scala/rabit/handler/RabitWorkerHandler$WorkerTrackerPrint$.class
ml/dmlc/xgboost4j/scala/rabit/handler/WorkerDependencyResolver$Fulfillment.class
ml/dmlc/xgboost4j/scala/rabit/handler/RabitWorkerHandler$$anonfun$8.class
ml/dmlc/xgboost4j/scala/DMatrix.class
ml/dmlc/xgboost4j/java/Rabit$OpType.class
ml/dmlc/xgboost4j/java/DataBatch$BatchIterator.class
ml/dmlc/xgboost4j/scala/EvalTrait.class
ml/dmlc/xgboost4j/scala/rabit/handler/RabitWorkerHandler$State.class
ml/dmlc/xgboost4j/scala/rabit/handler/RabitWorkerHandler$AcknowledgeAcceptance.class
ml/dmlc/xgboost4j/scala/rabit/handler/RabitWorkerHandler$WorkerTrackerPrint.class
ml/dmlc/xgboost4j/scala/rabit/util/LinkMap.class
ml/dmlc/xgboost4j/java/NativeLibLoader$Arch.class
ml/dmlc/xgboost4j/scala/Booster.class
ml/dmlc/xgboost4j/scala/rabit/handler/WorkerDependencyResolver$$anonfun$receive$2.class
ml/dmlc/xgboost4j/scala/rabit/handler/RabitWorkerHandler$WorkerShutdown.class
ml/dmlc/xgboost4j/scala/rabit/handler/RabitWorkerHandler$AwaitingPortNumber$.class
ml/dmlc/xgboost4j/scala/ExternalCheckpointManager.class
ml/dmlc/xgboost4j/java/NativeLibLoader.class
ml/dmlc/xgboost4j/scala/DMatrix$.class
ml/dmlc/xgboost4j/scala/rabit/handler/RabitWorkerHandler$IntField$.class
ml/dmlc/xgboost4j/scala/rabit/handler/RabitWorkerHandler$RequestAwaitConnWorkers.class
ml/dmlc/xgboost4j/scala/rabit/handler/RabitWorkerHandler$DivulgedWorkerHostPort.class
ml/dmlc/xgboost4j/scala/rabit/handler/RabitTrackerHandler$RequestBoundFuture$.class
ml/dmlc/xgboost4j/scala/rabit/handler/RabitTrackerHandler$.class
lib/linux/x86_64/libxgboost4j.so
ml/dmlc/xgboost4j/java/util/BigDenseMatrix.class
ml/dmlc/xgboost4j/scala/ExternalCheckpointParams$.class
ml/dmlc/xgboost4j/scala/rabit/handler/RabitWorkerHandler$$anonfun$2.class
ml/dmlc/xgboost4j/scala/rabit/handler/RabitWorkerHandler$RabitWorkerResponse.class
ml/dmlc/xgboost4j/scala/rabit/util/AssignedRank.class
ml/dmlc/xgboost4j/java/util/UtilUnsafe.class
ml/dmlc/xgboost4j/java/ColumnBatch.class
ml/dmlc/xgboost4j/java/DMatrix.class
ml/dmlc/xgboost4j/scala/rabit/handler/RabitWorkerHandler$WorkerStarted$.class
ml/dmlc/xgboost4j/scala/rabit/handler/RabitWorkerHandler$AwaitingConnections.class
ml/dmlc/xgboost4j/scala/rabit/handler/RabitTrackerHandler$StartTracker$.class
ml/dmlc/xgboost4j/scala/rabit/handler/RabitWorkerHandler$WorkerStart$.class
ml/dmlc/xgboost4j/scala/rabit/util/RabitTrackerHelpers$.class
ml/dmlc/xgboost4j/java/Rabit$DataType.class
ml/dmlc/xgboost4j/java/DataBatch.class
ml/dmlc/xgboost4j/java/NativeLibLoader$1.class
ml/dmlc/xgboost4j/scala/rabit/handler/WorkerDependencyResolver.class
ml/dmlc/xgboost4j/scala/rabit/handler/RabitWorkerHandler$RequestWorkerHostPort$.class
ml/dmlc/xgboost4j/scala/rabit/handler/RabitWorkerHandler$AwaitingHandshake$.class
ml/dmlc/xgboost4j/scala/rabit/handler/RabitWorkerHandler$BuildingLinkMap$.class
ml/dmlc/xgboost4j/scala/rabit/handler/RabitWorkerHandler$AwaitingCommand$.class
ml/dmlc/xgboost4j/scala/rabit/RabitTracker.class
ml/dmlc/xgboost4j/java/Booster$FeatureImportanceType.class
ml/dmlc/xgboost4j/java/TrackerProperties.class
ml/dmlc/xgboost4j/scala/rabit/handler/WorkerDependencyResolver$Fulfillment$.class
ml/dmlc/xgboost4j/scala/rabit/handler/RabitWorkerHandler$$anonfun$5.class
ml/dmlc/xgboost4j/scala/rabit/handler/RabitWorkerHandler$DataField.class
ml/dmlc/xgboost4j/scala/rabit/handler/RabitWorkerHandler.class
ml/dmlc/xgboost4j/scala/rabit/util/RabitTrackerHelpers$ByteStringHelplers.class
@hcho3
Copy link
Collaborator

hcho3 commented Nov 19, 2021

@dbczumar My bad. I will publish a new patch version to include the missing tracker.py.

@trivialfis Can we wrap up the 1.5.1 version so that we can publish the same 1.5.1 version to both PyPI and Maven Central?

@dbczumar
Copy link
Author

Thanks @hcho3 !

@trivialfis
Copy link
Member

Sure, @hcho3 #7451 is the one last backport to 1.5.1 .

@trivialfis
Copy link
Member

@hcho3 I will handle the Python release after R package for 1.5.0.2 is done. Feel free to submit jvm packages to maven while you are at it.

@candalfigomoro
Copy link

@trivialfis @hcho3
As a side note, is there any known issue preventing the Scala tracker from being the default instead of the Python tracker for xgboost4j-spark?

@trivialfis
Copy link
Member

As a side note, is there any known issue preventing the Scala tracker from being the default instead of the Python tracker for xgboost4j-spark?

Lack of maintainer. ;-)

@hcho3 hcho3 mentioned this issue Nov 22, 2021
Merged
@hcho3
Copy link
Collaborator

hcho3 commented Nov 23, 2021

@dbczumar I just published 1.5.1 version of XGBoost. It contains the tracker file.

@hcho3 hcho3 closed this as completed Nov 23, 2021
@dbczumar
Copy link
Author

Thank you, @hcho3 !

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Assignees
No one assigned
Labels
None yet
Projects
None yet
Milestone
No milestone
Development

No branches or pull requests
4 participants
@hcho3 @trivialfis @dbczumar @candalfigomoro