home | career | drupal | java | mac | mysql | perl | scala | uml | unix  

Java example source code file (Classifier.java)

This example Java source code file (Classifier.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

classifier, indarray, list, model, util

The Classifier.java Java example source code

/*
 *
 *  * Copyright 2015 Skymind,Inc.
 *  *
 *  *    Licensed under the Apache License, Version 2.0 (the "License");
 *  *    you may not use this file except in compliance with the License.
 *  *    You may obtain a copy of the License at
 *  *
 *  *        http://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.
 *
 */

package org.deeplearning4j.nn.api;

import org.nd4j.linalg.api.ndarray.INDArray;
import org.nd4j.linalg.dataset.api.DataSet;
import org.nd4j.linalg.dataset.api.iterator.DataSetIterator;

import java.util.List;


/**
 * A classifier (this is for supervised learning)
 *
 * @author Adam Gibson
 */
public interface Classifier extends Model {




    /**
     * Sets the input and labels and returns a score for the prediction
     * wrt true labels
     * @param data the data to score
     * @return the score for the given input,label pairs
     */
    double f1Score(DataSet data);

    /**
     * Returns the f1 score for the given examples.
     * Think of this to be like a percentage right.
     * The higher the number the more it got right.
     * This is on a scale from 0 to 1.
     * @param examples te the examples to classify (one example in each row)
     * @param labels the true labels
     * @return the scores for each ndarray
     */
    double f1Score(INDArray examples, INDArray labels);

    /**
     * Returns the number of possible labels
     * @return the number of possible labels for this classifier
     */
    int numLabels();

    /**
     * Train the model based on the datasetiterator
     * @param iter the iterator to train on
     */
    void fit(DataSetIterator iter);

    /**
     * Takes in a list of examples
     * For each row, returns a label
     * @param examples the examples to classify (one example in each row)
     * @return the labels for each example
     */
    int[] predict(INDArray examples);

    /**
     * Takes in a DataSet of examples
     * For each row, returns a label
     * @param dataSet the examples to classify
     * @return the labels for each example
     */
    List<String> predict(DataSet dataSet);

    /**
     * Returns the probabilities for each label
     * for each example row wise
     * @param examples the examples to classify (one example in each row)
     * @return the likelihoods of each example and each label
     */
    INDArray labelProbabilities(INDArray examples);


    /**
     * Fit the model
     * @param examples the examples to classify (one example in each row)
     * @param labels the example labels(a binary outcome matrix)
     */
    void fit(INDArray examples, INDArray labels);

    /**
     * Fit the model
     * @param data the data to train on
     */
    void fit(DataSet data);




    /**
     * Fit the model
     * @param examples the examples to classify (one example in each row)
     * @param labels the labels for each example (the number of labels must match
     *               the number of rows in the example
     */
    void fit(INDArray examples,int[] labels);




}

Other Java examples (source code examples)

Here is a short list of links related to this Java Classifier.java source code file:



my book on functional programming

 

new blog posts

 

Copyright 1998-2019 Alvin Alexander, alvinalexander.com
All Rights Reserved.

A percentage of advertising revenue from
pages under the /java/jwarehouse URI on this website is
paid back to open source projects.