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Java ClassPathResource类代码示例

本文整理汇总了Java中org.datavec.api.util.ClassPathResource类的典型用法代码示例。如果您正苦于以下问题：Java ClassPathResource类的具体用法？Java ClassPathResource怎么用？Java ClassPathResource使用的例子？那么, 这里精选的类代码示例或许可以为您提供帮助。


ClassPathResource类属于org.datavec.api.util包，在下文中一共展示了ClassPathResource类的15个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Java代码示例。

示例1: test

import org.datavec.api.util.ClassPathResource; //导入依赖的package包/类
@Test
public void test() throws Exception {

    CSVRecordReader rr = new CSVRecordReader(0, ',');
    rr.initialize(new FileSplit(new ClassPathResource("iris.dat").getFile()));

    CSVRecordReader rr2 = new CSVRecordReader(0, ',');
    rr2.initialize(new FileSplit(new ClassPathResource("iris.dat").getFile()));

    RecordReader rrC = new ConcatenatingRecordReader(rr, rr2);

    int count = 0;
    while(rrC.hasNext()){
        rrC.next();
        count++;
    }

    assertEquals(300, count);
}
开发者ID:deeplearning4j，项目名称:DataVec，代码行数:20，代码来源:TestConcatenatingRecordReader.java

示例2: testWord2VecPlot

import org.datavec.api.util.ClassPathResource; //导入依赖的package包/类
@Test
public void testWord2VecPlot() throws Exception {
    File inputFile = new ClassPathResource("/big/raw_sentences.txt").getFile();
    SentenceIterator iter = new BasicLineIterator(inputFile.getAbsolutePath());

    TokenizerFactory t = new DefaultTokenizerFactory();
    t.setTokenPreProcessor(new CommonPreprocessor());

    Word2Vec vec = new Word2Vec.Builder().minWordFrequency(5).iterations(2).batchSize(1000).learningRate(0.025)
                    .layerSize(100).seed(42).sampling(0).negativeSample(0).windowSize(5)
                    .modelUtils(new BasicModelUtils<VocabWord>()).useAdaGrad(false).iterate(iter).workers(10)
                    .tokenizerFactory(t).build();

    vec.fit();

    //        UiConnectionInfo connectionInfo = UiServer.getInstance().getConnectionInfo();

    //        vec.getLookupTable().plotVocab(100, connectionInfo);

    Thread.sleep(10000000000L);
    fail("Not implemented");
}
开发者ID:deeplearning4j，项目名称:deeplearning4j，代码行数:23，代码来源:ManualTests.java

示例3: testAsWritable

import org.datavec.api.util.ClassPathResource; //导入依赖的package包/类
@Test
public void testAsWritable() throws Exception {
    File f0 = new ClassPathResource("/testimages/class0/0.jpg").getFile();

    NativeImageLoader imageLoader = new NativeImageLoader();
    ImageWritable img = imageLoader.asWritable(f0);

    assertEquals(32, img.getFrame().imageHeight);
    assertEquals(32, img.getFrame().imageWidth);
    assertEquals(3, img.getFrame().imageChannels);

    BufferedImage img1 = makeRandomBufferedImage(0, 0, 3);
    Mat img2 = makeRandomImage(0, 0, 4);

    int w1 = 33, h1 = 77, ch1 = 1;
    NativeImageLoader loader1 = new NativeImageLoader(h1, w1, ch1);

    INDArray array1 = loader1.asMatrix(f0);
    assertEquals(4, array1.rank());
    assertEquals(1, array1.size(0));
    assertEquals(1, array1.size(1));
    assertEquals(h1, array1.size(2));
    assertEquals(w1, array1.size(3));
}
开发者ID:deeplearning4j，项目名称:DataVec，代码行数:25，代码来源:TestNativeImageLoader.java

示例4: testReader

import org.datavec.api.util.ClassPathResource; //导入依赖的package包/类
@Test
public void testReader() throws Exception {
    TfidfVectorizer vectorizer = new TfidfVectorizer();
    Configuration conf = new Configuration();
    conf.setInt(TfidfVectorizer.MIN_WORD_FREQUENCY, 1);
    conf.setBoolean(RecordReader.APPEND_LABEL, true);
    vectorizer.initialize(conf);
    TfidfRecordReader reader = new TfidfRecordReader();
    reader.initialize(conf, new FileSplit(new ClassPathResource("labeled").getFile()));
    int count = 0;
    int[] labelAssertions = new int[3];
    while (reader.hasNext()) {
        Collection<Writable> record = reader.next();
        Iterator<Writable> recordIter = record.iterator();
        NDArrayWritable writable = (NDArrayWritable) recordIter.next();
        labelAssertions[count] = recordIter.next().toInt();
        count++;
    }

    assertArrayEquals(new int[] {0, 1, 2}, labelAssertions);
    assertEquals(3, reader.getLabels().size());
    assertEquals(3, count);
}
开发者ID:deeplearning4j，项目名称:DataVec，代码行数:24，代码来源:TfidfRecordReaderTest.java

示例5: testRecordMetaData

import org.datavec.api.util.ClassPathResource; //导入依赖的package包/类
@Test
public void testRecordMetaData() throws Exception {
    TfidfVectorizer vectorizer = new TfidfVectorizer();
    Configuration conf = new Configuration();
    conf.setInt(TfidfVectorizer.MIN_WORD_FREQUENCY, 1);
    conf.setBoolean(RecordReader.APPEND_LABEL, true);
    vectorizer.initialize(conf);
    TfidfRecordReader reader = new TfidfRecordReader();
    reader.initialize(conf, new FileSplit(new ClassPathResource("labeled").getFile()));

    while (reader.hasNext()) {
        Record record = reader.nextRecord();
        assertNotNull(record.getMetaData().getURI());
        assertEquals(record.getMetaData().getReaderClass(), TfidfRecordReader.class);
    }
}
开发者ID:deeplearning4j，项目名称:DataVec，代码行数:17，代码来源:TfidfRecordReaderTest.java

示例6: testReadRecordFromMetaData

import org.datavec.api.util.ClassPathResource; //导入依赖的package包/类
@Test
public void testReadRecordFromMetaData() throws Exception {
    TfidfVectorizer vectorizer = new TfidfVectorizer();
    Configuration conf = new Configuration();
    conf.setInt(TfidfVectorizer.MIN_WORD_FREQUENCY, 1);
    conf.setBoolean(RecordReader.APPEND_LABEL, true);
    vectorizer.initialize(conf);
    TfidfRecordReader reader = new TfidfRecordReader();
    reader.initialize(conf, new FileSplit(new ClassPathResource("labeled").getFile()));

    Record record = reader.nextRecord();

    Record reread = reader.loadFromMetaData(record.getMetaData());

    assertEquals(record.getRecord().size(), 2);
    assertEquals(reread.getRecord().size(), 2);
    assertEquals(record.getRecord().get(0), reread.getRecord().get(0));
    assertEquals(record.getRecord().get(1), reread.getRecord().get(1));
    assertEquals(record.getMetaData(), reread.getMetaData());
}
开发者ID:deeplearning4j，项目名称:DataVec，代码行数:21，代码来源:TfidfRecordReaderTest.java

示例7: testCodecReader

import org.datavec.api.util.ClassPathResource; //导入依赖的package包/类
@Test
public void testCodecReader() throws Exception {
    File file = new ClassPathResource("fire_lowres.mp4").getFile();
    SequenceRecordReader reader = new CodecRecordReader();
    Configuration conf = new Configuration();
    conf.set(CodecRecordReader.RAVEL, "true");
    conf.set(CodecRecordReader.START_FRAME, "160");
    conf.set(CodecRecordReader.TOTAL_FRAMES, "500");
    conf.set(CodecRecordReader.ROWS, "80");
    conf.set(CodecRecordReader.COLUMNS, "46");
    reader.initialize(new FileSplit(file));
    reader.setConf(conf);
    assertTrue(reader.hasNext());
    List<List<Writable>> record = reader.sequenceRecord();
    //        System.out.println(record.size());

    Iterator<List<Writable>> it = record.iterator();
    List<Writable> first = it.next();
    //        System.out.println(first);

    //Expected size: 80x46x3
    assertEquals(1, first.size());
    assertEquals(80 * 46 * 3, ((ArrayWritable) first.iterator().next()).length());
}
开发者ID:deeplearning4j，项目名称:DataVec，代码行数:25，代码来源:CodecReaderTest.java

示例8: testCodecReaderMeta

import org.datavec.api.util.ClassPathResource; //导入依赖的package包/类
@Test
public void testCodecReaderMeta() throws Exception {
    File file = new ClassPathResource("fire_lowres.mp4").getFile();
    SequenceRecordReader reader = new CodecRecordReader();
    Configuration conf = new Configuration();
    conf.set(CodecRecordReader.RAVEL, "true");
    conf.set(CodecRecordReader.START_FRAME, "160");
    conf.set(CodecRecordReader.TOTAL_FRAMES, "500");
    conf.set(CodecRecordReader.ROWS, "80");
    conf.set(CodecRecordReader.COLUMNS, "46");
    reader.initialize(new FileSplit(file));
    reader.setConf(conf);
    assertTrue(reader.hasNext());
    List<List<Writable>> record = reader.sequenceRecord();
    assertEquals(500, record.size()); //500 frames

    reader.reset();
    SequenceRecord seqR = reader.nextSequence();
    assertEquals(record, seqR.getSequenceRecord());
    RecordMetaData meta = seqR.getMetaData();
    //        System.out.println(meta);
    assertTrue(meta.getURI().toString().endsWith("fire_lowres.mp4"));

    SequenceRecord fromMeta = reader.loadSequenceFromMetaData(meta);
    assertEquals(seqR, fromMeta);
}
开发者ID:deeplearning4j，项目名称:DataVec，代码行数:27，代码来源:CodecReaderTest.java

示例9: testNativeCodecReader

import org.datavec.api.util.ClassPathResource; //导入依赖的package包/类
@Ignore
@Test
public void testNativeCodecReader() throws Exception {
    File file = new ClassPathResource("fire_lowres.mp4").getFile();
    SequenceRecordReader reader = new NativeCodecRecordReader();
    Configuration conf = new Configuration();
    conf.set(CodecRecordReader.RAVEL, "true");
    conf.set(CodecRecordReader.START_FRAME, "160");
    conf.set(CodecRecordReader.TOTAL_FRAMES, "500");
    conf.set(CodecRecordReader.ROWS, "80");
    conf.set(CodecRecordReader.COLUMNS, "46");
    reader.initialize(new FileSplit(file));
    reader.setConf(conf);
    assertTrue(reader.hasNext());
    List<List<Writable>> record = reader.sequenceRecord();
    //        System.out.println(record.size());

    Iterator<List<Writable>> it = record.iterator();
    List<Writable> first = it.next();
    //        System.out.println(first);

    //Expected size: 80x46x3
    assertEquals(1, first.size());
    assertEquals(80 * 46 * 3, ((ArrayWritable) first.iterator().next()).length());
}
开发者ID:deeplearning4j，项目名称:DataVec，代码行数:26，代码来源:CodecReaderTest.java

示例10: testSingleImageSparkTransform

import org.datavec.api.util.ClassPathResource; //导入依赖的package包/类
@Test
public void testSingleImageSparkTransform() throws Exception {
    int seed = 12345;

    File f1 = new ClassPathResource("/testimages/class1/A.jpg").getFile();

    SingleImageRecord imgRecord = new SingleImageRecord(f1.toURI());

    ImageTransformProcess imgTransformProcess = new ImageTransformProcess.Builder().seed(seed)
                    .scaleImageTransform(10).cropImageTransform(5).build();

    ImageSparkTransform imgSparkTransform = new ImageSparkTransform(imgTransformProcess);
    Base64NDArrayBody body = imgSparkTransform.toArray(imgRecord);

    INDArray fromBase64 = Nd4jBase64.fromBase64(body.getNdarray());
    System.out.println("Base 64ed array " + fromBase64);
    assertEquals(1, fromBase64.size(0));
}
开发者ID:deeplearning4j，项目名称:DataVec，代码行数:19，代码来源:ImageSparkTransformTest.java

示例11: testBatchImageSparkTransform

import org.datavec.api.util.ClassPathResource; //导入依赖的package包/类
@Test
public void testBatchImageSparkTransform() throws Exception {
    int seed = 12345;

    File f0 = new ClassPathResource("/testimages/class1/A.jpg").getFile();
    File f1 = new ClassPathResource("/testimages/class1/B.png").getFile();
    File f2 = new ClassPathResource("/testimages/class1/C.jpg").getFile();

    BatchImageRecord batch = new BatchImageRecord();
    batch.add(f0.toURI());
    batch.add(f1.toURI());
    batch.add(f2.toURI());

    ImageTransformProcess imgTransformProcess = new ImageTransformProcess.Builder().seed(seed)
                    .scaleImageTransform(10).cropImageTransform(5).build();

    ImageSparkTransform imgSparkTransform = new ImageSparkTransform(imgTransformProcess);
    Base64NDArrayBody body = imgSparkTransform.toArray(batch);

    INDArray fromBase64 = Nd4jBase64.fromBase64(body.getNdarray());
    System.out.println("Base 64ed array " + fromBase64);
    assertEquals(3, fromBase64.size(0));
}
开发者ID:deeplearning4j，项目名称:DataVec，代码行数:24，代码来源:ImageSparkTransformTest.java

示例12: testMultilabelRecord

import org.datavec.api.util.ClassPathResource; //导入依赖的package包/类
@Test
public void testMultilabelRecord() throws Exception {
    Configuration configWriter = new Configuration();
    configWriter.setInt(SVMLightRecordWriter.FEATURE_FIRST_COLUMN, 0);
    configWriter.setInt(SVMLightRecordWriter.FEATURE_LAST_COLUMN, 9);
    configWriter.setBoolean(SVMLightRecordWriter.MULTILABEL, true);

    Configuration configReader = new Configuration();
    configReader.setInt(SVMLightRecordReader.NUM_FEATURES, 10);
    configReader.setBoolean(SVMLightRecordReader.MULTILABEL, true);
    configReader.setInt(SVMLightRecordReader.NUM_LABELS, 4);
    configReader.setBoolean(SVMLightRecordReader.ZERO_BASED_INDEXING, false);

    File inputFile = new ClassPathResource("svmlight/multilabel.txt").getFile();
    executeTest(configWriter, configReader, inputFile);
}
开发者ID:deeplearning4j，项目名称:DataVec，代码行数:17，代码来源:SVMLightRecordWriterTest.java

示例13: testZeroBasedIndexing

import org.datavec.api.util.ClassPathResource; //导入依赖的package包/类
@Test
public void testZeroBasedIndexing() throws Exception {
    Configuration configWriter = new Configuration();
    configWriter.setBoolean(SVMLightRecordWriter.ZERO_BASED_INDEXING, true);
    configWriter.setInt(SVMLightRecordWriter.FEATURE_FIRST_COLUMN, 0);
    configWriter.setInt(SVMLightRecordWriter.FEATURE_LAST_COLUMN, 10);
    configWriter.setBoolean(SVMLightRecordWriter.MULTILABEL, true);

    Configuration configReader = new Configuration();
    configReader.setInt(SVMLightRecordReader.NUM_FEATURES, 11);
    configReader.setBoolean(SVMLightRecordReader.MULTILABEL, true);
    configReader.setInt(SVMLightRecordReader.NUM_LABELS, 5);

    File inputFile = new ClassPathResource("svmlight/multilabel.txt").getFile();
    executeTest(configWriter, configReader, inputFile);
}
开发者ID:deeplearning4j，项目名称:DataVec，代码行数:17，代码来源:SVMLightRecordWriterTest.java

示例14: testMultilabelRecord

import org.datavec.api.util.ClassPathResource; //导入依赖的package包/类
@Test
public void testMultilabelRecord() throws Exception {
    Configuration configWriter = new Configuration();
    configWriter.setInt(LibSvmRecordWriter.FEATURE_FIRST_COLUMN, 0);
    configWriter.setInt(LibSvmRecordWriter.FEATURE_LAST_COLUMN, 9);
    configWriter.setBoolean(LibSvmRecordWriter.MULTILABEL, true);

    Configuration configReader = new Configuration();
    configReader.setInt(LibSvmRecordReader.NUM_FEATURES, 10);
    configReader.setBoolean(LibSvmRecordReader.MULTILABEL, true);
    configReader.setInt(LibSvmRecordReader.NUM_LABELS, 4);
    configReader.setBoolean(LibSvmRecordReader.ZERO_BASED_INDEXING, false);

    File inputFile = new ClassPathResource("svmlight/multilabel.txt").getFile();
    executeTest(configWriter, configReader, inputFile);
}
开发者ID:deeplearning4j，项目名称:DataVec，代码行数:17，代码来源:LibSvmRecordWriterTest.java

示例15: testZeroBasedIndexing

import org.datavec.api.util.ClassPathResource; //导入依赖的package包/类
@Test
public void testZeroBasedIndexing() throws Exception {
    Configuration configWriter = new Configuration();
    configWriter.setBoolean(LibSvmRecordWriter.ZERO_BASED_INDEXING, true);
    configWriter.setInt(LibSvmRecordWriter.FEATURE_FIRST_COLUMN, 0);
    configWriter.setInt(LibSvmRecordWriter.FEATURE_LAST_COLUMN, 10);
    configWriter.setBoolean(LibSvmRecordWriter.MULTILABEL, true);

    Configuration configReader = new Configuration();
    configReader.setInt(LibSvmRecordReader.NUM_FEATURES, 11);
    configReader.setBoolean(LibSvmRecordReader.MULTILABEL, true);
    configReader.setInt(LibSvmRecordReader.NUM_LABELS, 5);

    File inputFile = new ClassPathResource("svmlight/multilabel.txt").getFile();
    executeTest(configWriter, configReader, inputFile);
}
开发者ID:deeplearning4j，项目名称:DataVec，代码行数:17，代码来源:LibSvmRecordWriterTest.java


注：本文中的org.datavec.api.util.ClassPathResource类示例由纯净天空整理自Github/MSDocs等开源代码及文档管理平台，相关代码片段筛选自各路编程大神贡献的开源项目，源码版权归原作者所有，传播和使用请参考对应项目的License；未经允许，请勿转载。