All Downloads are FREE. Search and download functionalities are using the official Maven repository.

org.deeplearning4j.models.word2vec.VocabWord Maven / Gradle / Ivy

There is a newer version: 1.0.0-M2.1
Show newest version
/*******************************************************************************
 * Copyright (c) 2015-2018 Skymind, Inc.
 *
 * This program and the accompanying materials are made available under the
 * terms of the Apache License, Version 2.0 which is available at
 * https://www.apache.org/licenses/LICENSE-2.0.
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
 * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
 * License for the specific language governing permissions and limitations
 * under the License.
 *
 * SPDX-License-Identifier: Apache-2.0
 ******************************************************************************/

package org.deeplearning4j.models.word2vec;

import lombok.Getter;
import lombok.NonNull;
import lombok.Setter;
import org.deeplearning4j.models.sequencevectors.sequence.SequenceElement;
import org.nd4j.shade.jackson.annotation.JsonAutoDetect;
import org.nd4j.shade.jackson.annotation.JsonTypeInfo;
import org.nd4j.shade.jackson.databind.ObjectMapper;

import java.io.Serializable;


/**
 * Intermediate layers of the neural network
 *
 * @author Adam Gibson
 */
@JsonTypeInfo(use = JsonTypeInfo.Id.CLASS, include = JsonTypeInfo.As.PROPERTY, property = "@class")
@JsonAutoDetect(fieldVisibility = JsonAutoDetect.Visibility.ANY, getterVisibility = JsonAutoDetect.Visibility.NONE,
        setterVisibility = JsonAutoDetect.Visibility.NONE)
public class VocabWord extends SequenceElement implements Serializable {

    private static final long serialVersionUID = 2223750736522624256L;

    //for my sanity
    private String word;

    /*
        Used for Joint/Distributed vocabs mechanics
     */
    @Getter
    @Setter
    protected Long vocabId;
    @Getter
    @Setter
    protected Long affinityId;

    public static VocabWord none() {
        return new VocabWord(0, "none");
    }

    /**
     *
     * @param wordFrequency count of the word
    
     */
    public VocabWord(double wordFrequency, @NonNull String word) {
        if (word.isEmpty())
            throw new IllegalArgumentException("Word must not be null or empty");
        this.word = word;
        this.elementFrequency.set(wordFrequency);
        this.storageId = SequenceElement.getLongHash(word);
    }

    public VocabWord(double wordFrequency, @NonNull String word, long storageId) {
        this(wordFrequency, word);
        this.storageId = storageId;
    }


    public VocabWord() {}


    public String getLabel() {
        return this.word;
    }
    /*
    	public void write(DataOutputStream dos) throws IOException {
    		dos.writeDouble(this.elementFrequency.get());
    	}
    
    	public VocabWord read(DataInputStream dos) throws IOException {
    		this.elementFrequency.set(dos.readDouble());
    		return this;
    	}
    
    */

    public String getWord() {
        return word;
    }

    public void setWord(String word) {
        this.word = word;
    }


    @Override
    public boolean equals(Object o) {
        if (this == o)
            return true;
        if (!(o instanceof VocabWord))
            return false;
        final VocabWord vocabWord = (VocabWord) o;
        if (this.word == null)
            return vocabWord.word == null;

        return this.word.equals(vocabWord.getWord());
        /*
        if (codeLength != vocabWord.codeLength) return false;
        if (index != vocabWord.index) return false;
        if (!codes.equals(vocabWord.codes)) return false;
        if (historicalGradient != null ? !historicalGradient.equals(vocabWord.historicalGradient) : vocabWord.historicalGradient != null)
            return false;
        if (!points.equals(vocabWord.points)) return false;
        if (!word.equals(vocabWord.word)) return false;
        return this.elementFrequency.get() == vocabWord.elementFrequency.get();
        */
    }
    

    @Override
    public int hashCode() {
        final int result = this.word == null ? 0 : this.word.hashCode(); //this.elementFrequency.hashCode();
        /*result = 31 * result + index;
        result = 31 * result + codes.hashCode();
        result = 31 * result + word.hashCode();
        result = 31 * result + (historicalGradient != null ? historicalGradient.hashCode() : 0);
        result = 31 * result + points.hashCode();
        result = 31 * result + codeLength;*/
        return result;
    }

    @Override
    public String toString() {
        return "VocabWord{" + "wordFrequency=" + this.elementFrequency + ", index=" + index + ", word='" + word + '\''
                        + ", codeLength=" + codeLength + '}';
    }

    @Override
    public String toJSON() {
        ObjectMapper mapper = mapper();
        try {
            /*
                we need JSON as single line to save it at first line of the CSV model file
            */
            return mapper.writeValueAsString(this);
        } catch (org.nd4j.shade.jackson.core.JsonProcessingException e) {
            throw new RuntimeException(e);
        }
    }


}





© 2015 - 2024 Weber Informatics LLC | Privacy Policy