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[jvm-packages] Maven central release stuffs (#3401)

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* add back train method but mark as deprecated

* add back train method but mark as deprecated

* fix scalastyle error

* fix scalastyle error

* maven central release
This commit is contained in:
Nan Zhu
2018-06-22 06:41:28 -07:00
committed by GitHub
parent 9ac163d0bb
commit d062c6f61b
3 changed files with 147 additions and 31 deletions
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35
doc/jvm/index.md
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@@ -38,15 +38,38 @@ This command will publish the xgboost binaries, the compiled java classes as wel
For sbt, please add the repository and dependency in build.sbt as following:
<b>sbt</b>
<b>sbt</b>
```sbt
resolvers += "Local Maven Repository" at "file://"+Path.userHome.absolutePath+"/.m2/repository"
"ml.dmlc" % "xgboost4j" % "latest_source_version_num"
```
```
#### Installation from repo
#### Installation from maven repo
### Access release version
<b>maven</b>
```
<dependency>
<groupId>ml.dmlc</groupId>
<artifactId>xgboost4j</artifactId>
<version>latest_version_num</version>
</dependency>
```
<b>sbt</b>
```sbt
"ml.dmlc" % "xgboost4j" % "latest_version_num"
```
For the latest release version number, please check [here](https://github.com/dmlc/xgboost/releases).
if you want to use `xgboost4j-spark`, you just need to replace xgboost4j with `xgboost4j-spark`
### Access SNAPSHOT version
You need to add github as repo:
@@ -83,12 +106,14 @@ the add dependency as following:
"ml.dmlc" % "xgboost4j" % "latest_version_num"
```
For the latest release version number, please check [here](https://github.com/dmlc/xgboost/releases).
For the latest release version number, please check [here](https://github.com/CodingCat/xgboost/tree/maven-repo/ml/dmlc/xgboost4j).
if you want to use `xgboost4j-spark`, you just need to replace xgboost4j with `xgboost4j-spark`
After integrating with Dataframe/Dataset APIs of Spark 2.0, XGBoost4J-Spark only supports compile with Spark 2.x. You can build XGBoost4J-Spark as a component of XGBoost4J by running `mvn package`, and you can specify the version of spark with `mvn -Dspark.version=2.0.0 package`. (To continue working with Spark 1.x, the users are supposed to update pom.xml by modifying the properties like `spark.version`, `scala.version`, and `scala.binary.version`. Users also need to change the implementation by replacing SparkSession with SQLContext and the type of API parameters from Dataset[_] to Dataframe)
#### Enabling OpenMP for Mac OS
If you are on Mac OS and using a compiler that supports OpenMP, you need to go to the file `xgboost/jvm-packages/create_jni.py` and comment out the line
If you are on Mac OS and using a compiler that supports OpenMP, you need to go to the file `xgboost/jvm-packages/create_jni.py` and comment out the line
```python
CONFIG["USE_OPENMP"] = "OFF"
```