32e5cc1945
* Capsnet test runtime improvements * Slow test speedups * Next round of test speed improvements * More test improvements * Improve test speed * Next round of test speedups * Another round * More test speedups * Another round * Another round of test speedups * Another round of speedups... * CuDNN test speedups + more tests extending BaseDL4JTest * Minor fix + more BaseDL4JTest use in other modules
82 lines
3.3 KiB
Java
82 lines
3.3 KiB
Java
/*******************************************************************************
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* Copyright (c) 2015-2018 Skymind, Inc.
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*
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* This program and the accompanying materials are made available under the
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* terms of the Apache License, Version 2.0 which is available at
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* https://www.apache.org/licenses/LICENSE-2.0.
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
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* WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
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* License for the specific language governing permissions and limitations
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* under the License.
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*
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* SPDX-License-Identifier: Apache-2.0
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******************************************************************************/
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package org.deeplearning4j.models;
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import org.deeplearning4j.BaseDL4JTest;
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import org.deeplearning4j.models.embeddings.loader.WordVectorSerializer;
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import org.deeplearning4j.models.embeddings.wordvectors.WordVectors;
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import org.deeplearning4j.models.word2vec.Word2Vec;
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import org.deeplearning4j.plot.BarnesHutTsne;
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import org.deeplearning4j.text.sentenceiterator.SentenceIterator;
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import org.deeplearning4j.text.sentenceiterator.UimaSentenceIterator;
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import org.deeplearning4j.text.tokenization.tokenizer.preprocessor.CommonPreprocessor;
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import org.deeplearning4j.text.tokenization.tokenizerfactory.DefaultTokenizerFactory;
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import org.deeplearning4j.text.tokenization.tokenizerfactory.TokenizerFactory;
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import org.deeplearning4j.ui.UiConnectionInfo;
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import org.deeplearning4j.ui.api.UIServer;
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import org.junit.Ignore;
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import org.junit.Test;
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import org.nd4j.linalg.io.ClassPathResource;
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import java.io.File;
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import java.util.ArrayList;
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/**
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* Created by Alex on 10/01/2017.
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*/
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@Ignore
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public class UITest extends BaseDL4JTest {
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@Test
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public void testPosting() throws Exception {
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// File inputFile = Resources.asFile("big/raw_sentences.txt");
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File inputFile = new ClassPathResource("/basic/word2vec_advance.txt").getFile();
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SentenceIterator iter = UimaSentenceIterator.createWithPath(inputFile.getAbsolutePath());
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// Split on white spaces in the line to get words
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TokenizerFactory t = new DefaultTokenizerFactory();
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t.setTokenPreProcessor(new CommonPreprocessor());
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Word2Vec vec = new Word2Vec.Builder().minWordFrequency(1).epochs(1).layerSize(20)
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.stopWords(new ArrayList<String>()).useAdaGrad(false).negativeSample(5).seed(42).windowSize(5)
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.iterate(iter).tokenizerFactory(t).build();
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vec.fit();
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File tempFile = File.createTempFile("temp", "w2v");
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tempFile.deleteOnExit();
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WordVectorSerializer.writeWordVectors(vec, tempFile);
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WordVectors vectors = WordVectorSerializer.loadTxtVectors(tempFile);
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UIServer.getInstance(); //Initialize
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UiConnectionInfo uiConnectionInfo =
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new UiConnectionInfo.Builder().setAddress("localhost").setPort(9000).build();
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BarnesHutTsne tsne = new BarnesHutTsne.Builder().normalize(false).setFinalMomentum(0.8f).numDimension(2)
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.setMaxIter(10).build();
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vectors.lookupTable().plotVocab(tsne, vectors.lookupTable().getVocabCache().numWords(), uiConnectionInfo);
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Thread.sleep(100000);
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}
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}
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