/**
* Run the solver to produce the raw eigenvectors
*
* @param inputPath the Path to the input corpus
* @param outputPath the Path to the output
* @param outputTmpPath a Path to a temporary working directory
* @param numRows the int number of rows
* @param numCols the int number of columns
* @param isSymmetric true if the input matrix is symmetric
* @param desiredRank the int desired rank of eigenvectors to produce
* @return an int indicating success (0) or otherwise
*/
public int run(
Path inputPath,
Path outputPath,
Path outputTmpPath,
Path workingDirPath,
int numRows,
int numCols,
boolean isSymmetric,
int desiredRank)
throws Exception {
DistributedRowMatrix matrix =
new DistributedRowMatrix(inputPath, outputTmpPath, numRows, numCols);
matrix.setConf(new Configuration(getConf() != null ? getConf() : new Configuration()));
LanczosState state;
if (workingDirPath == null) {
state = new LanczosState(matrix, desiredRank, getInitialVector(matrix));
} else {
HdfsBackedLanczosState hState =
new HdfsBackedLanczosState(matrix, desiredRank, getInitialVector(matrix), workingDirPath);
hState.setConf(matrix.getConf());
state = hState;
}
solve(state, desiredRank, isSymmetric);
Path outputEigenVectorPath = new Path(outputPath, RAW_EIGENVECTORS);
serializeOutput(state, outputEigenVectorPath);
return 0;
}
