org.datavec.api.records.reader.impl.collection.ListStringRecordReader Java Examples
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org.datavec.api.records.reader.impl.collection.ListStringRecordReader.
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Example #1
Source File: TestTransformProcess.java From DataVec with Apache License 2.0 | 6 votes |
@Test public void testInferColumns() throws Exception { List<List<String>> categories = Arrays.asList( Arrays.asList("a","d") , Arrays.asList("b","e"), Arrays.asList("c","f") ); RecordReader listReader = new ListStringRecordReader(); listReader.initialize(new ListStringSplit(categories)); List<String> inferredSingle = TransformProcess.inferCategories(listReader,0); assertEquals(3,inferredSingle.size()); listReader.initialize(new ListStringSplit(categories)); Map<Integer, List<String>> integerListMap = TransformProcess.inferCategories(listReader, new int[]{0,1}); for(int i = 0; i < 2; i++) { assertEquals(3,integerListMap.get(i).size()); } }
Example #2
Source File: TestTransformProcess.java From deeplearning4j with Apache License 2.0 | 6 votes |
@Test public void testInferColumns() throws Exception { List<List<String>> categories = Arrays.asList( Arrays.asList("a","d") , Arrays.asList("b","e"), Arrays.asList("c","f") ); RecordReader listReader = new ListStringRecordReader(); listReader.initialize(new ListStringSplit(categories)); List<String> inferredSingle = TransformProcess.inferCategories(listReader,0); assertEquals(3,inferredSingle.size()); listReader.initialize(new ListStringSplit(categories)); Map<Integer, List<String>> integerListMap = TransformProcess.inferCategories(listReader, new int[]{0,1}); for(int i = 0; i < 2; i++) { assertEquals(3,integerListMap.get(i).size()); } }
Example #3
Source File: DL4JMLModel.java From neo4j-ml-procedures with Apache License 2.0 | 5 votes |
@Override protected Object doPredict(List<String> line) { try { ListStringSplit input = new ListStringSplit(Collections.singletonList(line)); ListStringRecordReader rr = new ListStringRecordReader(); rr.initialize(input); DataSetIterator iterator = new RecordReaderDataSetIterator(rr, 1); DataSet ds = iterator.next(); INDArray prediction = model.output(ds.getFeatures()); DataType outputType = types.get(this.output); switch (outputType) { case _float : return prediction.getDouble(0); case _class: { int numClasses = 2; double max = 0; int maxIndex = -1; for (int i=0;i<numClasses;i++) { if (prediction.getDouble(i) > max) {maxIndex = i; max = prediction.getDouble(i);} } return maxIndex; // return prediction.getInt(0,1); // numberOfClasses } default: throw new IllegalArgumentException("Output type not yet supported "+outputType); } } catch (Exception e) { throw new RuntimeException(e); } }
Example #4
Source File: ListStringInputFormat.java From DataVec with Apache License 2.0 | 5 votes |
/** * Creates a reader from an input split * * @param split the split to read * @return the reader from the given input split */ @Override public RecordReader createReader(InputSplit split) throws IOException, InterruptedException { RecordReader reader = new ListStringRecordReader(); reader.initialize(split); return reader; }
Example #5
Source File: ListStringInputFormat.java From deeplearning4j with Apache License 2.0 | 5 votes |
/** * Creates a reader from an input split * * @param split the split to read * @return the reader from the given input split */ @Override public RecordReader createReader(InputSplit split) throws IOException, InterruptedException { RecordReader reader = new ListStringRecordReader(); reader.initialize(split); return reader; }
Example #6
Source File: ListStringInputFormat.java From DataVec with Apache License 2.0 | 3 votes |
/** * Creates a reader from an input split * * @param split the split to read * @param conf * @return the reader from the given input split */ @Override public RecordReader createReader(InputSplit split, Configuration conf) throws IOException, InterruptedException { RecordReader reader = new ListStringRecordReader(); reader.initialize(conf, split); return reader; }
Example #7
Source File: ListStringInputFormat.java From deeplearning4j with Apache License 2.0 | 3 votes |
/** * Creates a reader from an input split * * @param split the split to read * @param conf * @return the reader from the given input split */ @Override public RecordReader createReader(InputSplit split, Configuration conf) throws IOException, InterruptedException { RecordReader reader = new ListStringRecordReader(); reader.initialize(conf, split); return reader; }