@Test public void testEncodeEquilateral() { final DataSet ds1 = generateTestData(); ds1.encodeEquilateral(0,-1,1); assertEquals(4,ds1.getHeaderCount()); Set<Double> col1=new HashSet<>(); Set<Double> col2=new HashSet<>(); for (Object[] row:ds1.getData()){ col1.add(round((Double)row[0])); col2.add(round((Double)row[1])); } Set<Double> expected1=new HashSet<>(Arrays.<Double>asList(0.0,-0.866,0.866)); Set<Double> expected2=new HashSet<>(Arrays.<Double>asList(1.0,-0.5)); assertEquals(expected1,col1); assertEquals(expected2,col2); }
public Map<String, Integer> encodeEquilateral(final int column) { return encodeEquilateral(column, 0, 1); }
DataSet { public Map<String, Integer> encodeEquilateral(final int column) { return encodeEquilateral(column, 0, 1); } }
DataSet { public Map<String, Integer> encodeEquilateral(final int column) { return encodeEquilateral(column, 0, 1); } DataSet(final String[] theHeaders); }
DataSet { public Map<String, Integer> encodeEquilateral(final int column) { return encodeEquilateral(column, 0, 1); } DataSet(final String[] theHeaders); static DataSet load(final File filename); static DataSet load(final InputStream is); static void save(final File filename, final DataSet ds); static void save(final OutputStream os, final DataSet ds); int getHeaderCount(); String[] getHeaders(); void add(final Object[] row); List<Object[]> getData(); double getMax(final int column); double getMin(final int column); void normalizeRange(final int column, final double dataLow, final double dataHigh, final double normalizedLow, final double normalizedHigh); void normalizeRange(final int column, final double normalizedLow, final double normalizedHigh); void deNormalizeRange(final int column, final double dataLow, final double dataHigh, final double normalizedLow, final double normalizedHigh); void normalizeReciprocal(final int column); void deNormalizeReciprocal(final int column); Map<String, Integer> enumerateClasses(final int column); Map<String, Integer> encodeNumeric(final int column); Map<String, Integer> encodeOneOfN(final int column); Map<String, Integer> encodeOneOfN(final int column, final double offValue, final double onValue); Map<String, Integer> encodeEquilateral(final int column); Map<String, Integer> encodeEquilateral(final int column, final double offValue, final double onValue); int size(); void appendColumns(final int count); void insertColumns(final int column, final int columnCount); @Override boolean equals(final Object other); List<BasicData> extractUnsupervisedLabeled(final int labelIndex); List<BasicData> extractSupervised(final int inputBegin, final int inputCount, final int idealBegin, final int idealCount); void deleteUnknowns(); void deleteColumn(final int col); void replaceColumn(final int columnIndex, final double searchFor, final double replaceWith, final double others); }
DataSet { public Map<String, Integer> encodeEquilateral(final int column) { return encodeEquilateral(column, 0, 1); } DataSet(final String[] theHeaders); static DataSet load(final File filename); static DataSet load(final InputStream is); static void save(final File filename, final DataSet ds); static void save(final OutputStream os, final DataSet ds); int getHeaderCount(); String[] getHeaders(); void add(final Object[] row); List<Object[]> getData(); double getMax(final int column); double getMin(final int column); void normalizeRange(final int column, final double dataLow, final double dataHigh, final double normalizedLow, final double normalizedHigh); void normalizeRange(final int column, final double normalizedLow, final double normalizedHigh); void deNormalizeRange(final int column, final double dataLow, final double dataHigh, final double normalizedLow, final double normalizedHigh); void normalizeReciprocal(final int column); void deNormalizeReciprocal(final int column); Map<String, Integer> enumerateClasses(final int column); Map<String, Integer> encodeNumeric(final int column); Map<String, Integer> encodeOneOfN(final int column); Map<String, Integer> encodeOneOfN(final int column, final double offValue, final double onValue); Map<String, Integer> encodeEquilateral(final int column); Map<String, Integer> encodeEquilateral(final int column, final double offValue, final double onValue); int size(); void appendColumns(final int count); void insertColumns(final int column, final int columnCount); @Override boolean equals(final Object other); List<BasicData> extractUnsupervisedLabeled(final int labelIndex); List<BasicData> extractSupervised(final int inputBegin, final int inputCount, final int idealBegin, final int idealCount); void deleteUnknowns(); void deleteColumn(final int col); void replaceColumn(final int columnIndex, final double searchFor, final double replaceWith, final double others);  }