xgboost4j-linux-ompv4

H2O XGBoost Libraries

License

License

Categories

Categories

H2 Data Databases H2O Business Logic Libraries Machine Learning
GroupId

GroupId

ai.h2o
ArtifactId

ArtifactId

xgboost4j-linux-ompv4
Last Version

Last Version

1.2.0.16
Release Date

Release Date

Type

Type

jar
Description

Description

xgboost4j-linux-ompv4
H2O XGBoost Libraries
Project URL

Project URL

https://github.com/h2oai/xgboost
Project Organization

Project Organization

H2O.ai
Source Code Management

Source Code Management

https://github.com/h2oai/xgboost

Download xgboost4j-linux-ompv4

How to add to project

<!-- https://jarcasting.com/artifacts/ai.h2o/xgboost4j-linux-ompv4/ -->
<dependency>
    <groupId>ai.h2o</groupId>
    <artifactId>xgboost4j-linux-ompv4</artifactId>
    <version>1.2.0.16</version>
</dependency>
// https://jarcasting.com/artifacts/ai.h2o/xgboost4j-linux-ompv4/
implementation 'ai.h2o:xgboost4j-linux-ompv4:1.2.0.16'
// https://jarcasting.com/artifacts/ai.h2o/xgboost4j-linux-ompv4/
implementation ("ai.h2o:xgboost4j-linux-ompv4:1.2.0.16")
'ai.h2o:xgboost4j-linux-ompv4:jar:1.2.0.16'
<dependency org="ai.h2o" name="xgboost4j-linux-ompv4" rev="1.2.0.16">
  <artifact name="xgboost4j-linux-ompv4" type="jar" />
</dependency>
@Grapes(
@Grab(group='ai.h2o', module='xgboost4j-linux-ompv4', version='1.2.0.16')
)
libraryDependencies += "ai.h2o" % "xgboost4j-linux-ompv4" % "1.2.0.16"
[ai.h2o/xgboost4j-linux-ompv4 "1.2.0.16"]

Dependencies

There are no dependencies for this project. It is a standalone project that does not depend on any other jars.

Project Modules

There are no modules declared in this project.

eXtreme Gradient Boosting

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Documentation | Resources | Installation | Release Notes | RoadMap

XGBoost is an optimized distributed gradient boosting library designed to be highly efficient, flexible and portable. It implements machine learning algorithms under the Gradient Boosting framework. XGBoost provides a parallel tree boosting (also known as GBDT, GBM) that solve many data science problems in a fast and accurate way. The same code runs on major distributed environment (Hadoop, SGE, MPI) and can solve problems beyond billions of examples.

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XGBoost has been developed and used by a group of active community members. Your help is very valuable to make the package better for everyone.

License

© Contributors, 2016. Licensed under an Apache-2 license.

Reference

ai.h2o

H2O.ai

Fast Scalable Machine Learning For Smarter Applications

Versions

Version
1.2.0.16
1.2.0.15
1.2.0.11
1.2.0.7
1.2.0.6
1.2.0.5
1.0.0.11
1.0.0.9
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0.90.3
0.83.17
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0.82.18
0.7.15
0.7.13
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0.7.9
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0.7.2