Package org.apache.ignite.examples.ml.preprocessing.encoding

Class EncoderExampleWithNormalization

  • public class EncoderExampleWithNormalization
extends java.lang.Object
    Example that shows how to combine together two preprocessors: String Encoder preprocessor to encode features presented as a strings and Normalizer to normalize data presented as doubles.

    Code in this example launches Ignite grid and fills the cache with test data (based on mushrooms dataset).

    After that it defines preprocessors that extract features from an upstream data and encode string values (categories) to double values in specified range.

    Then, it trains the model based on the processed data using decision tree classification.

    Finally, this example uses Evaluator functionality to compute metrics from predictions.

    • Method Summary

      All Methods Static Methods Concrete Methods 
      Modifier and Type Method Description
      static void main​(java.lang.String[] args)
      Run example.

      • Methods inherited from class java.lang.Object

        clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

    • Constructor Detail

      • EncoderExampleWithNormalization

        public EncoderExampleWithNormalization()

    • Method Detail

      • main

        public static void main​(java.lang.String[] args)
        Run example.