@Test public void testNormalizeReciprocal() { final DataSet ds1 = generateTestData(); ds1.normalizeReciprocal(1); assertEquals(0.5, Double.parseDouble(ds1.getData().get(1)[1].toString()) , AIFH.DEFAULT_PRECISION); ds1.deNormalizeReciprocal(1); assertEquals(2.0, Double.parseDouble(ds1.getData().get(1)[1].toString()) , AIFH.DEFAULT_PRECISION); }
public void normalizeReciprocal(final int column) { for (final Object[] obj : this.data) { final double x = convertNumeric(obj, column); obj[column] = 1 / x; } }
DataSet { public void normalizeReciprocal(final int column) { for (final Object[] obj : this.data) { final double x = convertNumeric(obj, column); obj[column] = 1 / x; } } }
DataSet { public void normalizeReciprocal(final int column) { for (final Object[] obj : this.data) { final double x = convertNumeric(obj, column); obj[column] = 1 / x; } } DataSet(final String[] theHeaders); }
DataSet { public void normalizeReciprocal(final int column) { for (final Object[] obj : this.data) { final double x = convertNumeric(obj, column); obj[column] = 1 / x; } } 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 void normalizeReciprocal(final int column) { for (final Object[] obj : this.data) { final double x = convertNumeric(obj, column); obj[column] = 1 / x; } } 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);  }