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Java example source code file (VectorsConfiguration.java)

This example Java source code file (VectorsConfiguration.java) is included in the alvinalexander.com "Java Source Code Warehouse" project. The intent of this project is to help you "Learn Java by Example" TM.

Learn more about this Java project at its project page.

Java - Java tags/keywords

arraylist, base64, data, ioexception, list, objectmapper, runtimeexception, serializable, stop, string, unk, utf-8, util, vectorsconfiguration

The VectorsConfiguration.java Java example source code

package org.deeplearning4j.models.embeddings.loader;

import com.fasterxml.jackson.databind.DeserializationFeature;
import com.fasterxml.jackson.databind.MapperFeature;
import com.fasterxml.jackson.databind.ObjectMapper;
import com.fasterxml.jackson.databind.SerializationFeature;
import lombok.Data;
import org.apache.commons.codec.binary.Base64;


import java.io.IOException;
import java.io.Serializable;
import java.util.ArrayList;
import java.util.List;

/**
 *
 * This is simple bean/POJO for Word2Vec persistence handling.
 * It holds whole w2v model configuration info, except of TokenizerFactory and SentenceIterator, since they are not intended for serialization, and specified at run-time.
 *
 *  @author raver119@gmail.com
 */
@Data
public class VectorsConfiguration implements Serializable {

    // word2vec params
    private int minWordFrequency = 5;
    private double learningRate = 0.025;
    private double minLearningRate = 0.0001;
    private int layersSize = 200;
    private boolean useAdaGrad = false;
    private int batchSize = 1000;
    private int iterations = 1;
    private int epochs = 1;
    private int window = 5;
    private long seed;
    private double negative = 0.0d;
    private double sampling = 0.0d;
    private int learningRateDecayWords;

    private boolean hugeModelExpected = false;
    private int scavengerActivationThreshold = 2000000;
    private int scavengerRetentionDelay = 3;

    private String elementsLearningAlgorithm;
    private String sequenceLearningAlgorithm;

    private String UNK = "UNK";
    private String STOP = "STOP";

    private List<String> stopList = new ArrayList<>();

    // overall model info
    private int vocabSize;

    private static ObjectMapper mapper() {
        /*
              DO NOT ENABLE INDENT_OUTPUT FEATURE
              we need THIS json to be single-line
          */
        ObjectMapper ret = new ObjectMapper();
        ret.configure(DeserializationFeature.FAIL_ON_UNKNOWN_PROPERTIES, false);
        ret.configure(SerializationFeature.FAIL_ON_EMPTY_BEANS, false);
        ret.configure(MapperFeature.SORT_PROPERTIES_ALPHABETICALLY, true);
        return ret;
    }

    public String toJson() {
        ObjectMapper mapper = mapper();
        try {
            /*
                we need JSON as single line to save it at first line of the CSV model file
                That's ugly method, but its way more memory-friendly then loading whole 10GB json file just to create another 10GB memory array.
            */
            return mapper.writeValueAsString(this);
        } catch (com.fasterxml.jackson.core.JsonProcessingException e) {
            throw new RuntimeException(e);
        }
    }

    public String toEncodedJson() {
        Base64 base64 = new Base64(Integer.MAX_VALUE);
        try {
            return base64.encodeAsString(this.toJson().getBytes("UTF-8"));
        } catch (Exception e) {
            throw new RuntimeException(e);
        }
    }

    public static VectorsConfiguration fromJson(String json) {
        ObjectMapper mapper = mapper();
        try {
            VectorsConfiguration ret =  mapper.readValue(json, VectorsConfiguration.class);
            return ret;
        } catch (IOException e) {
            throw new RuntimeException(e);
        }
    }
}

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