https://github.com/i-wonderful/hello-ignite-ml

My experiment image classification with SVM algorithm in Apache Ignite ML.
https://github.com/i-wonderful/hello-ignite-ml

apache-ignite apache-ignite-ml classification ml mnist-classification svm

Last synced: 9 months ago
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My experiment image classification with SVM algorithm in Apache Ignite ML.

• Host: GitHub
• URL: https://github.com/i-wonderful/hello-ignite-ml
• Owner: i-wonderful
• Created: 2023-01-15T14:44:26.000Z (over 3 years ago)
• Default Branch: master
• Last Pushed: 2023-01-29T15:31:20.000Z (over 3 years ago)
• Last Synced: 2025-07-25T17:07:48.961Z (11 months ago)
• Topics: apache-ignite, apache-ignite-ml, classification, ml, mnist-classification, svm
• Language: Java
• Homepage:
• Size: 20.5 KB
• Stars: 0
• Watchers: 0
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: readme.md

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README

          
# Hello-Ignite-ML

Пример использования apache-ignite-ml для задачи мультиклассовой классификации.

Датасет MNIST рукописных цифр.

Описание и подробности в [посте](https://not-accidental-chaos.blogspot.com/2023/01/apache-ignite-ml.html#more).

## Сборка и запуск

1. Поместить [датасет](https://www.kaggle.com/datasets/oddrationale/mnist-in-csv) в папку ./dataset в корне проекта.

![project dataset](screen.png)

2. Собрать

`mvn clean package`

3. Запустить

`java -jar ./target/HelloIgniteML.jar`

При запуске из IDE, указать параметры vm (из оф доки):

--add-exports=java.base/jdk.internal.misc=ALL-UNNAMED --add-exports=java.base/sun.nio.ch=ALL-UNNAMED --add-exports=java.management/com.sun.jmx.mbeanserver=ALL-UNNAMED --add-exports=jdk.internal.jvmstat/sun.jvmstat.monitor=ALL-UNNAMED --add-exports=java.base/sun.reflect.generics.reflectiveObjects=ALL-UNNAMED --add-opens=jdk.management/com.sun.management.internal=ALL-UNNAMED --illegal-access=permit