Java Code Examples for org.nd4j.linalg.primitives.Pair#of()
The following examples show how to use
org.nd4j.linalg.primitives.Pair#of() .
You can vote up the ones you like or vote down the ones you don't like,
and go to the original project or source file by following the links above each example. You may check out the related API usage on the sidebar.
Example 1
Source File: ArrowConverter.java From DataVec with Apache License 2.0 | 6 votes |
/** * Read a datavec schema and record set * from the given arrow file. * @param input the input to read * @return the associated datavec schema and record */ public static Pair<Schema,ArrowWritableRecordBatch> readFromFile(FileInputStream input) throws IOException { BufferAllocator allocator = new RootAllocator(Long.MAX_VALUE); Schema retSchema = null; ArrowWritableRecordBatch ret = null; SeekableReadChannel channel = new SeekableReadChannel(input.getChannel()); ArrowFileReader reader = new ArrowFileReader(channel, allocator); reader.loadNextBatch(); retSchema = toDatavecSchema(reader.getVectorSchemaRoot().getSchema()); //load the batch VectorUnloader unloader = new VectorUnloader(reader.getVectorSchemaRoot()); VectorLoader vectorLoader = new VectorLoader(reader.getVectorSchemaRoot()); ArrowRecordBatch recordBatch = unloader.getRecordBatch(); vectorLoader.load(recordBatch); ret = asDataVecBatch(recordBatch,retSchema,reader.getVectorSchemaRoot()); ret.setUnloader(unloader); return Pair.of(retSchema,ret); }
Example 2
Source File: ArrowConverter.java From DataVec with Apache License 2.0 | 6 votes |
/** * Read a datavec schema and record set * from the given bytes (usually expected to be an arrow format file) * @param input the input to read * @return the associated datavec schema and record */ public static Pair<Schema,ArrowWritableRecordBatch> readFromBytes(byte[] input) throws IOException { BufferAllocator allocator = new RootAllocator(Long.MAX_VALUE); Schema retSchema = null; ArrowWritableRecordBatch ret = null; SeekableReadChannel channel = new SeekableReadChannel(new ByteArrayReadableSeekableByteChannel(input)); ArrowFileReader reader = new ArrowFileReader(channel, allocator); reader.loadNextBatch(); retSchema = toDatavecSchema(reader.getVectorSchemaRoot().getSchema()); //load the batch VectorUnloader unloader = new VectorUnloader(reader.getVectorSchemaRoot()); VectorLoader vectorLoader = new VectorLoader(reader.getVectorSchemaRoot()); ArrowRecordBatch recordBatch = unloader.getRecordBatch(); vectorLoader.load(recordBatch); ret = asDataVecBatch(recordBatch,retSchema,reader.getVectorSchemaRoot()); ret.setUnloader(unloader); return Pair.of(retSchema,ret); }
Example 3
Source File: MapToPairForReducerFunction.java From DataVec with Apache License 2.0 | 6 votes |
@Override public Pair<String, List<Writable>> apply(List<Writable> writables) { List<String> keyColumns = reducer.getKeyColumns(); if(keyColumns == null){ //Global reduction return Pair.of(GLOBAL_KEY, writables); } else { Schema schema = reducer.getInputSchema(); String key; if (keyColumns.size() == 1) key = writables.get(schema.getIndexOfColumn(keyColumns.get(0))).toString(); else { StringBuilder sb = new StringBuilder(); for (int i = 0; i < keyColumns.size(); i++) { if (i > 0) sb.append("_"); sb.append(writables.get(schema.getIndexOfColumn(keyColumns.get(i))).toString()); } key = sb.toString(); } return Pair.of(key, writables); } }
Example 4
Source File: ArrowConverterTest.java From DataVec with Apache License 2.0 | 5 votes |
private Pair<Schema,List<List<Writable>>> recordToWrite() { List<List<Writable>> records = new ArrayList<>(); records.add(Arrays.<Writable>asList(new DoubleWritable(0.0),new DoubleWritable(0.0))); records.add(Arrays.<Writable>asList(new DoubleWritable(0.0),new DoubleWritable(0.0))); Schema.Builder schemaBuilder = new Schema.Builder(); for(int i = 0; i < 2; i++) { schemaBuilder.addColumnFloat("col-" + i); } return Pair.of(schemaBuilder.build(),records); }
Example 5
Source File: ExtractKeysFunction.java From DataVec with Apache License 2.0 | 5 votes |
@Override public Pair<List<Writable>, List<Writable>> apply(List<Writable> writables) { List<Writable> keyValues; if (columnIndexes.length == 1) { keyValues = Collections.singletonList(writables.get(columnIndexes[0])); } else { keyValues = new ArrayList<>(columnIndexes.length); for (int i : columnIndexes) { keyValues.add(writables.get(i)); } } return Pair.of(keyValues, writables); }
Example 6
Source File: LocalMapToPairByMultipleColumnsFunction.java From DataVec with Apache License 2.0 | 5 votes |
@Override public Pair<List<Writable>, List<Writable>> apply(List<Writable> writables) { List<Writable> keyOut = new ArrayList<>(keyColumnIdxs.length); for (int keyColumnIdx : keyColumnIdxs) { keyOut.add(writables.get(keyColumnIdx)); } return Pair.of(keyOut, writables); }
Example 7
Source File: FilesAsBytesFunction.java From DataVec with Apache License 2.0 | 5 votes |
@Override public Pair<Text, BytesWritable> apply(Pair<String, InputStream> in) { try { return Pair.of(new Text(in.getFirst()), new BytesWritable(IOUtils.toByteArray(in.getSecond()))); } catch (IOException e) { throw new IllegalStateException(e); } }
Example 8
Source File: ColumnToKeyPairTransform.java From DataVec with Apache License 2.0 | 4 votes |
@Override public Pair<Writable, Long> apply(List<Writable> list) { return Pair.of(list.get(columnIndex), 1L); }
Example 9
Source File: ColumnAsKeyPairFunction.java From DataVec with Apache License 2.0 | 4 votes |
@Override public Pair<Writable, List<Writable>> apply(List<Writable> writables) { return Pair.of(writables.get(columnIdx), writables); }
Example 10
Source File: LocalMapToPairByColumnFunction.java From DataVec with Apache License 2.0 | 4 votes |
@Override public Pair<Writable, List<Writable>> apply(List<Writable> writables) { return Pair.of(writables.get(keyColumnIdx), writables); }