@Test public void testDeleteUnknowns() { final DataSet ds1 = generateTestData(); ds1.getData().get(1)[2] = "?"; ds1.deleteUnknowns(); assertEquals(2, ds1.getData().size()); }
public void deleteUnknowns() { int rowIndex = 0; while (rowIndex < this.data.size()) { final Object[] row = data.get(rowIndex); boolean remove = false; for (final Object aRow : row) { if (aRow.toString().equals("?")) { remove = true; break; } } if (remove) { data.remove(rowIndex); } else { rowIndex++; } } }
DataSet { public void deleteUnknowns() { int rowIndex = 0; while (rowIndex < this.data.size()) { final Object[] row = data.get(rowIndex); boolean remove = false; for (final Object aRow : row) { if (aRow.toString().equals("?")) { remove = true; break; } } if (remove) { data.remove(rowIndex); } else { rowIndex++; } } } }
DataSet { public void deleteUnknowns() { int rowIndex = 0; while (rowIndex < this.data.size()) { final Object[] row = data.get(rowIndex); boolean remove = false; for (final Object aRow : row) { if (aRow.toString().equals("?")) { remove = true; break; } } if (remove) { data.remove(rowIndex); } else { rowIndex++; } } } DataSet(final String[] theHeaders); }
DataSet { public void deleteUnknowns() { int rowIndex = 0; while (rowIndex < this.data.size()) { final Object[] row = data.get(rowIndex); boolean remove = false; for (final Object aRow : row) { if (aRow.toString().equals("?")) { remove = true; break; } } if (remove) { data.remove(rowIndex); } else { rowIndex++; } } } 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 deleteUnknowns() { int rowIndex = 0; while (rowIndex < this.data.size()) { final Object[] row = data.get(rowIndex); boolean remove = false; for (final Object aRow : row) { if (aRow.toString().equals("?")) { remove = true; break; } } if (remove) { data.remove(rowIndex); } else { rowIndex++; } } } 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);  }