| 组织ID: |
ai.h2o |
| 项目ID: |
xgboost-predictor |
| 版本: |
0.3.6 |
| 最后修改时间: |
2019-03-16 14:43:43 |
| 包类型: |
jar |
| 标题: |
xgboost-predictor |
| 描述: |
Pure Java implementation of XGBoost predictor for online prediction tasks |
| 相关URL: |
https://github.com/h2oai/xgboost-predictor |
| 大小: |
37.63KB |
|
|
| Maven引入代码: |
<dependency>
<groupId>ai.h2o</groupId>
<artifactId>xgboost-predictor</artifactId>
<version>0.3.6</version>
</dependency>
|
| Gradle引入代码: |
ai.h2o:xgboost-predictor:0.3.6
|
| 下载Jar包: |
|
| POM文件内容: |
<?xml version="1.0" encoding="UTF-8"?>
<project xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd" xmlns="http://maven.apache.org/POM/4.0.0"
xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
<modelVersion>4.0.0</modelVersion>
<groupId>ai.h2o</groupId>
<artifactId>xgboost-predictor</artifactId>
<version>0.3.6</version>
<name>xgboost-predictor</name>
<description>Pure Java implementation of XGBoost predictor for online prediction tasks</description>
<url>https://github.com/h2oai/xgboost-predictor</url>
<inceptionYear>2018</inceptionYear>
<organization>
<name>H2O.ai</name>
<url>http://h2o.ai/</url>
</organization>
<licenses>
<license>
<name>The Apache Software License, Version 2.0</name>
<url>http://www.apache.org/licenses/LICENSE-2.0.txt</url>
<distribution>repo</distribution>
</license>
</licenses>
<developers>
<developer>
<id>support</id>
<name>H2O.ai Support</name>
<email>support@h2o.ai</email>
</developer>
</developers>
<scm>
<connection>scm:git:https://github.com/h2oai/xgboost-predictor.git</connection>
<developerConnection>scm:git:git@github.com:h2oai/xgboost-predictor.git</developerConnection>
<url>https://github.com/h2oai/xgboost-predictor</url>
</scm>
<issueManagement>
<system>Jira</system>
<url>http://jira.h2o.ai</url>
</issueManagement>
<dependencies>
<dependency>
<groupId>net.jafama</groupId>
<artifactId>jafama</artifactId>
<version>2.1.0</version>
<scope>compile</scope>
</dependency>
</dependencies>
</project>
|
| Jar包内容: |
META-INF/MANIFEST.MF
biz.k11i.xgboost.config.PredictorConfiguration.class
biz.k11i.xgboost.config.PredictorConfiguration$Builder.class
biz.k11i.xgboost.tree.RegTreeImpl$Param.class
biz.k11i.xgboost.tree.RegTree.class
biz.k11i.xgboost.tree.TreeSHAP$PathElement.class
biz.k11i.xgboost.tree.RegTreeFactory.class
biz.k11i.xgboost.tree.RegTreeNode.class
biz.k11i.xgboost.tree.RegTreeImpl$RTreeNodeStat.class
biz.k11i.xgboost.tree.TreeSHAP.class
biz.k11i.xgboost.tree.DefaultRegTreeFactory.class
biz.k11i.xgboost.tree.TreeSHAP$1.class
biz.k11i.xgboost.tree.TreeSHAP$PathPointer.class
biz.k11i.xgboost.tree.RegTreeImpl.class
biz.k11i.xgboost.tree.RegTreeImpl$Node.class
biz.k11i.xgboost.learner.ObjFunction$SoftmaxMultiClassObjClassify.class
biz.k11i.xgboost.learner.ObjFunction.class
biz.k11i.xgboost.learner.ObjFunction$SoftmaxMultiClassObjProb.class
biz.k11i.xgboost.learner.ObjFunction$SoftmaxMultiClassObjProb_Jafama.class
biz.k11i.xgboost.learner.ObjFunction$RegLossObjLogistic.class
biz.k11i.xgboost.learner.ObjFunction$RegLossObjLogistic_Jafama.class
biz.k11i.xgboost.util.FVecArrayImpl$FVecFloatArrayImpl.class
biz.k11i.xgboost.util.FVecArrayImpl$FVecDoubleArrayImpl.class
biz.k11i.xgboost.util.FVecArrayImpl.class
biz.k11i.xgboost.util.FVec$Transformer.class
biz.k11i.xgboost.util.ModelReader.class
biz.k11i.xgboost.util.FVecMapImpl.class
biz.k11i.xgboost.util.FVec.class
biz.k11i.xgboost.Predictor.class
biz.k11i.xgboost.gbm.GBLinear.class
biz.k11i.xgboost.gbm.GBLinear$ModelParam.class
biz.k11i.xgboost.gbm.GradBooster$Factory.class
biz.k11i.xgboost.gbm.GradBooster.class
biz.k11i.xgboost.gbm.Dart.class
biz.k11i.xgboost.gbm.GBTree.class
biz.k11i.xgboost.gbm.GBTree$ModelParam.class
biz.k11i.xgboost.gbm.GBBase.class
biz.k11i.xgboost.spark.SparkModelParam.class
biz.k11i.xgboost.Predictor$ModelParam.class
|
| 依赖Jar: |
jafama-2.1.0.jar
/net.jafama/jafama/2.1.0
查看jafama所有版本文件
|