/**
* Converts a String back to connection parameters.
*
* @param input String from configuration
* @return JDBC connection parameters
*/
protected static Properties propertiesFromString(String input) {
if (input != null && !input.isEmpty()) {
Properties result = new Properties();
StrTokenizer propertyTokenizer = StrTokenizer.getCSVInstance(input);
StrTokenizer valueTokenizer = StrTokenizer.getCSVInstance();
valueTokenizer.setDelimiterChar('=');
while (propertyTokenizer.hasNext()) {
valueTokenizer.reset(propertyTokenizer.nextToken());
String[] values = valueTokenizer.getTokenArray();
if (values.length == 2) {
result.put(values[0], values[1]);
}
}
return result;
} else {
return null;
}
}
static List<double[]> readDataBodyAsDouble(
BufferedReader br, int[] remappedColumns, int mappedColumnCount)
throws NumberFormatException, IOException {
List<double[]> rows = new ArrayList<double[]>(500);
int colCount = 0; // Number of columns (minus one) - must match in each row
int curRow = 0; // Current row number - 0 based;
String s = null; // Single line from file
while ((s = br.readLine()) != null) {
StrTokenizer strTk = new StrTokenizer(s);
strTk.setIgnoreEmptyTokens(false);
strTk.setDelimiterChar('\t');
String src[] = strTk.getTokenArray();
// String src[] = s.split("\t");
if (isNonEmptyLine(src)) {
if (colCount == 0) {
colCount = src.length; // initialize column count
if (remappedColumns == null) {
// assign default mapping now
remappedColumns = new int[colCount];
for (int i = 0; i < colCount; i++) {
remappedColumns[i] = i;
}
mappedColumnCount = colCount;
}
} else {
if (src.length != colCount) {
for (int i = 0; i < src.length; i++) {
System.out.println(i + ": " + src[i]);
}
throw new IllegalStateException(
"Parse Error: Row "
+ curRow
+ " has "
+ src.length
+ " columns, previous columns had "
+ colCount
+ " columns.");
}
}
double[] row = new double[mappedColumnCount];
for (int i = 0; i < src.length; i++) {
if (remappedColumns[i] != -1) {
if (src[i].length() > 0) {
// Simple hack to ignore text columns in the predict.txt file
try {
row[remappedColumns[i]] = Double.parseDouble(src[i]);
} catch (Exception e) {
row[remappedColumns[i]] = Double.NaN;
}
} else {
row[remappedColumns[i]] = 0;
}
}
}
rows.add(row);
} else {
// ignore empty lines
}
curRow++;
}
log.debug("Found " + curRow + " rows in predict.txt file.");
return rows;
}