Skip to content

bahasa-ai/klasifikasi-java

Repository files navigation

Klasifikasi for Java

Official Klasifikasi API Client Library

Requirement

JDK 15 or later

Installation

Gradle

Add these lines in your build.gradle

repositories {
    ...
    maven {
        url "https://dl.bintray.com/bahasa-ai/klasifikasi"
    }
}

dependencies {
    ...
    implementation 'ai.bahasa:klasifikasi-java:0.0.1'
}

Maven

Add these lines in your pom.xml

<dependency>
    <groupId>ai.bahasa</groupId>
    <artifactId>klasifikasi-java</artifactId>
    <version>0.0.1</version>
    <type>pom</type>
</dependency>


<repositories>
    <repository>
        <snapshots>
            <enabled>false</enabled>
        </snapshots>
        <id>bintray-bahasa-ai-klasifikasi</id>
        <name>bintray</name>
        <url>https://dl.bintray.com/bahasa-ai/klasifikasi</url>
    </repository>
</repositories>
<pluginRepositories>
    <pluginRepository>
        <snapshots>
            <enabled>false</enabled>
        </snapshots>
        <id>bintray-bahasa-ai-klasifikasi</id>
        <name>bintray-plugins</name>
        <url>https://dl.bintray.com/bahasa-ai/klasifikasi</url>
    </pluginRepository>
</pluginRepositories>
<id>bintray</id>

Quick Start

You will need valid clientId & clientSecret of your model. You can get those from credential section at your model page, which is both unique per model.

Klasifikasi klasifikasi = Klasifikasi.build(new BuildParams[]{
  new BuildParams("client-id", "client-secret")
});

You can pass multiple clientId & clientSecret too

Klasifikasi klasifikasi = Klasifikasi.build(new BuildParams[]{
  new BuildParams("client-id-1", "client-secret-1"),
  new BuildParams("client-id-2", "client-secret-2"),
});

Classify

You will need you model publicId to start classifying with your model. You can get your model publicId from your model page, or you can get it from here :

Map<String, ClientData> models = klasifikasi.getModels();
for (Map.Entry<String, ClientData> data : models.entrySet()) {
  System.out.println(data.getKey()); // publicId
}

Classifying example

ClassifyResponse response = klasifikasi.classify("publicId", "Query");
TagScore[] tagScores = response.getTagScores();
for (TagScore data : tagScores) {
  System.out.printf("%s : %f\n", data.getName(), data.getScore());
  /*
    Example:
      Tag 1 : 0.52
      Tag 2 : 0.23
  */

}

Logs

You can get your classifying logs based on your model publicId

SimpleDateFormat formater = new SimpleDateFormat("d MMMM yyyy");
Date startedAt = formater.parse("10 December 2020");
Date endedAt = formater.parse("12 December 2020");
int skip = 0;
int take = 10;
LogsResponse response = instance.logs("publicId", startedAt, endedAt, skip, take);
Log[] logs = response.getLogs();
for (Log log : logs) {
  System.out.printf("Result: %s, %s\n",log.getQuery(), log.getCreatedAt());
  for (TagScore score : log.getModelResult()) {
    System.out.printf("-%s : %f\n", score.getName(), score.getScore());
  }
}
/*
Output :
  Result : your query, 2020-12-11T10:00:29+07:00
  - Tag 1 : 0.52
  - Tag 2 : 0.23
*/

Error

All the function above will throw an Exception if something bad happen. Always run each function inside try & catch block

About

No description, website, or topics provided.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages