Java

Quick start

To apply a previously trained CatBoost model in Java:

Install the package using a package manager.

For example, change the source_version line to the latest available version and add the following block to the dependencies section of the pom.xml file for Maven:

<!-- https://mvnrepository.com/artifact/ai.catboost/catboost-prediction --> 
<dependency>
    <groupId>ai.catboost</groupId>
    <artifactId>catboost-prediction</artifactId>
    <version>source_version</version>
</dependency>

Load the trained model:

import ai.catboost.CatBoostModel;
import ai.catboost.CatBoostPredictions;

CatBoostModel model = new CatBoostModel.loadModel("model.cbm");

Apply the model:

CatBoostPredictions prediction = model.predict(new float[3]{0.1f, 0.3f, 0.2f}, new String[3]{"foo", "bar", "baz"});
// assuming that this is a regression task
System.out.print("model value is " + String.valueOf(prediction.get(0, 0));

Provided classes


Class	Description
CatBoostModel	Basic model application methods.
CatBoostPredictions	A wrapper that provides methods for making convenient predictions for certain classes.