@Test public void testReplaceColumn() { final DataSet ds1 = generateTestData(); ds1.replaceColumn(1, 2, 1, 0); final List<BasicData> result = ds1.extractSupervised(1, 1, 2, 1); assertEquals(0.0, result.get(0).getInput()[0], AIFH.DEFAULT_PRECISION); assertEquals(1.0, result.get(1).getInput()[0], AIFH.DEFAULT_PRECISION); }
public void replaceColumn(final int columnIndex, final double searchFor, final double replaceWith, final double others) { for (final Object[] row : this.data) { final double d = convertNumeric(row, columnIndex); if (Math.abs(d - searchFor) < 0.0001) { row[columnIndex] = replaceWith; } else { row[columnIndex] = others; } } }
DataSet { public void replaceColumn(final int columnIndex, final double searchFor, final double replaceWith, final double others) { for (final Object[] row : this.data) { final double d = convertNumeric(row, columnIndex); if (Math.abs(d - searchFor) < 0.0001) { row[columnIndex] = replaceWith; } else { row[columnIndex] = others; } } } }
DataSet { public void replaceColumn(final int columnIndex, final double searchFor, final double replaceWith, final double others) { for (final Object[] row : this.data) { final double d = convertNumeric(row, columnIndex); if (Math.abs(d - searchFor) < 0.0001) { row[columnIndex] = replaceWith; } else { row[columnIndex] = others; } } } DataSet(final String[] theHeaders); }
DataSet { public void replaceColumn(final int columnIndex, final double searchFor, final double replaceWith, final double others) { for (final Object[] row : this.data) { final double d = convertNumeric(row, columnIndex); if (Math.abs(d - searchFor) < 0.0001) { row[columnIndex] = replaceWith; } else { row[columnIndex] = others; } } } 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 replaceColumn(final int columnIndex, final double searchFor, final double replaceWith, final double others) { for (final Object[] row : this.data) { final double d = convertNumeric(row, columnIndex); if (Math.abs(d - searchFor) < 0.0001) { row[columnIndex] = replaceWith; } else { row[columnIndex] = others; } } } 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);  }