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# AUTHOR: Freedom Preetham | |
# DATE: FEB, 2017 | |
# THE AUTHOUR OR HIS ASSOCIATED COMPANIES/SERVICES HOLDS NO RESPONSIBILITY OR LIABIILTY IF YOU DECIDE TO USE IT. | |
# THIS CODE IS SHARED AS AN EXAMPLE ONLY. | |
# FEEL FREE TO USE AND DISTRIBUTE AS NECESSARY. | |
# APPRECIATE THE ATTRIBUTION IF ANY | |
# THE CODE IN SOME PLACES IS A TEMPLATE AND IS NOT THOROUGHLY TESTED. |
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0,14.23,1.71,2.43,15.6,127,2.8,3.06,0.28,2.29,5.64,1.04,3.92,1065 | |
0,13.2,1.78,2.14,11.2,100,2.65,2.76,0.26,1.28,4.38,1.05,3.4,1050 | |
0,13.16,2.36,2.67,18.6,101,2.8,3.24,0.3,2.81,5.68,1.03,3.17,1185 | |
0,14.37,1.95,2.5,16.8,113,3.85,3.49,0.24,2.18,7.8,0.86,3.45,1480 | |
0,13.24,2.59,2.87,21,118,2.8,2.69,0.39,1.82,4.32,1.04,2.93,735 | |
0,14.2,1.76,2.45,15.2,112,3.27,3.39,0.34,1.97,6.75,1.05,2.85,1450 | |
0,14.39,1.87,2.45,14.6,96,2.5,2.52,0.3,1.98,5.25,1.02,3.58,1290 | |
0,14.06,2.15,2.61,17.6,121,2.6,2.51,0.31,1.25,5.05,1.06,3.58,1295 | |
0,14.83,1.64,2.17,14,97,2.8,2.98,0.29,1.98,5.2,1.08,2.85,1045 | |
0,13.86,1.35,2.27,16,98,2.98,3.15,0.22,1.85,7.22,1.01,3.55,1045 |
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package nn.example; | |
import org.datavec.api.records.reader.RecordReader; | |
import org.datavec.api.records.reader.impl.csv.CSVRecordReader; | |
import org.datavec.api.split.FileSplit; | |
import org.datavec.api.util.ClassPathResource; | |
import org.deeplearning4j.datasets.datavec.RecordReaderDataSetIterator; | |
import org.deeplearning4j.eval.Evaluation; | |
import org.deeplearning4j.nn.api.OptimizationAlgorithm; | |
import org.deeplearning4j.nn.conf.MultiLayerConfiguration; |
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// package nn.example; | |
import org.deeplearning4j.nn.api.Layer; | |
import org.deeplearning4j.nn.api.OptimizationAlgorithm; | |
import org.deeplearning4j.nn.conf.MultiLayerConfiguration; | |
import org.deeplearning4j.nn.conf.NeuralNetConfiguration; | |
import org.deeplearning4j.nn.conf.NeuralNetConfiguration.ListBuilder; | |
import org.deeplearning4j.nn.conf.distribution.UniformDistribution; | |
import org.deeplearning4j.nn.conf.layers.DenseLayer; | |
import org.deeplearning4j.nn.conf.layers.OutputLayer; |
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// package nn.example; | |
import org.deeplearning4j.nn.api.Layer; | |
import org.deeplearning4j.nn.api.OptimizationAlgorithm; | |
import org.deeplearning4j.nn.conf.MultiLayerConfiguration; | |
import org.deeplearning4j.nn.conf.NeuralNetConfiguration; | |
import org.deeplearning4j.nn.conf.NeuralNetConfiguration.ListBuilder; | |
import org.deeplearning4j.nn.conf.distribution.UniformDistribution; | |
import org.deeplearning4j.nn.conf.layers.DenseLayer; | |
import org.deeplearning4j.nn.conf.layers.OutputLayer; |
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import org.canova.api.util.ClassPathResource | |
import org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable | |
import org.deeplearning4j.models.embeddings.loader.WordVectorSerializer | |
import org.deeplearning4j.models.word2vec.{ VocabWord, Word2Vec } | |
import org.deeplearning4j.models.word2vec.wordstore.inmemory.InMemoryLookupCache | |
import org.deeplearning4j.text.sentenceiterator.{ BasicLineIterator, SentenceIterator } | |
import org.deeplearning4j.text.tokenization.tokenizer.preprocessor.CommonPreprocessor | |
import org.deeplearning4j.text.tokenization.tokenizerfactory.{ DefaultTokenizerFactory, TokenizerFactory } | |
import org.slf4j.LoggerFactory | |
import scala.io.Source |