CatBoost model applier

Java module to apply CatBoost models

License	The Apache License, Version 2.0
GroupId	ai.catboost
ArtifactId	catboost-prediction
Last Version	1.0.6
Release Date	May 20, 2022
Type	jar
Description	CatBoost model applier Java module to apply CatBoost models
Project URL	https://catboost.ai
Project Organization	CatBoost dev team
Source Code Management	https://github.com/catboost/catboost

Download catboost-prediction

Filename	Size
catboost-prediction-1.0.6.pom
catboost-prediction-1.0.6.jar	6 MB
catboost-prediction-1.0.6-sources.jar	6 MB
catboost-prediction-1.0.6-javadoc.jar	38 KB

How to add to project

Apache Maven

<!-- https://jarcasting.com/artifacts/ai.catboost/catboost-prediction/ -->
<dependency>
    <groupId>ai.catboost</groupId>
    <artifactId>catboost-prediction</artifactId>
    <version>1.0.6</version>
</dependency>

Gradle Groovy

// https://jarcasting.com/artifacts/ai.catboost/catboost-prediction/
implementation 'ai.catboost:catboost-prediction:1.0.6'

Gradle Kotlin

// https://jarcasting.com/artifacts/ai.catboost/catboost-prediction/
implementation ("ai.catboost:catboost-prediction:1.0.6")

Apache Buildr

'ai.catboost:catboost-prediction:jar:1.0.6'

Apache Ivy

<dependency org="ai.catboost" name="catboost-prediction" rev="1.0.6">
  <artifact name="catboost-prediction" type="jar" />
</dependency>

Groovy Grape

@Grapes(
@Grab(group='ai.catboost', module='catboost-prediction', version='1.0.6')
)

Scala SBT

libraryDependencies += "ai.catboost" % "catboost-prediction" % "1.0.6"

Leiningen

[ai.catboost/catboost-prediction "1.0.6"]

Dependencies

compile (4)

Group / Artifact	Type	Version
javax.validation : validation-api	jar	1.1.0.Final
com.google.code.findbugs : jsr305	jar	3.0.2
org.slf4j : slf4j-api	jar	1.7.25
ai.catboost : catboost-common	jar	1.0.6

test (2)

Group / Artifact	Type	Version
junit : junit	jar	4.13.1
org.slf4j : slf4j-jdk14	jar	1.7.25

Project Modules

There are no modules declared in this project.

CatBoost

CatBoost is a fast, scalable, high performance gradient boosting on decision trees library. Used for ranking, classification, regression and other ML tasks.

Versions

Version
1.0.6 May 20, 2022
1.0.4 Jan 14, 2022
1.0.3 Nov 4, 2021
1.0.2 Nov 3, 2021
1.0.1 Oct 29, 2021
0.26.1 Aug 6, 2021
0.26 Jun 4, 2021
0.25.1 Apr 15, 2021
0.24 Aug 10, 2020
0.23 Apr 25, 2020
0.22 Mar 2, 2020
0.21 Jan 31, 2020
0.2.6 Dec 12, 2019
0.2.5 May 16, 2019
0.2.4 Oct 2, 2018
0.2.3 Oct 2, 2018
0.2.2 Oct 2, 2018
0.2.1 Oct 2, 2018
0.2 Oct 1, 2018
0.1 Oct 1, 2018