本文整理汇总了Java中pitt.search.semanticvectors.VectorStoreWriter.writeVectors方法的典型用法代码示例。如果您正苦于以下问题：Java VectorStoreWriter.writeVectors方法的具体用法？Java VectorStoreWriter.writeVectors怎么用？Java VectorStoreWriter.writeVectors使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类pitt.search.semanticvectors.VectorStoreWriter的用法示例。
在下文中一共展示了VectorStoreWriter.writeVectors方法的3个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Java代码示例。
示例1: main
import pitt.search.semanticvectors.VectorStoreWriter; //导入方法依赖的package包/类
public static void main(String[] args) throws IOException {
FlagConfig flagConfig = null;
try {
flagConfig = FlagConfig.getFlagConfig(args);
args = flagConfig.remainingArgs;
} catch (IllegalArgumentException e) {
System.err.println(usageMessage);
throw e;
}
if (flagConfig.remainingArgs.length != 1) {
throw new IllegalArgumentException("Wrong number of arguments after parsing command line flags.\n" + usageMessage);
}
VerbatimLogger.info("Building vector index of table in file: " + args[0] + "\n");
BufferedReader fileReader = new BufferedReader(new FileReader(args[0]));
String[] columnHeaders = fileReader.readLine().split(",");
ArrayList<String[]> dataRows = new ArrayList<>();
String dataLine;
while((dataLine = fileReader.readLine()) != null) {
String[] dataEntries = dataLine.split(",");
if (dataEntries.length != columnHeaders.length) {
throw new IllegalArgumentException(String.format(
"Column headers have length %d and this row has length %d. This indicates a data error or a csv parsing error."
+ "\nColumn headers:%s\nData row: %s\n",
columnHeaders.length, dataEntries.length,
StringUtils.join(columnHeaders), StringUtils.join(dataEntries)));
}
dataRows.add(dataEntries);
}
fileReader.close();
Table table = new Table(flagConfig, columnHeaders, dataRows);
VectorStoreWriter.writeVectors(flagConfig.termvectorsfile(), flagConfig, table.getRowVectorStore());
queryForSpecialValues(table);
//queryForName(table, "J. Adams");
// queryForName(table, "T. Roosevelt");
}
示例2: createNGrams
import pitt.search.semanticvectors.VectorStoreWriter; //导入方法依赖的package包/类
public void createNGrams(String fileOut, FlagConfig flagConfig, int numGrams )
{
BeagleNGramVectors bngv;
BeagleUtils utils = BeagleUtils.getInstance();
long time;
try
{
time = System.currentTimeMillis();
bngv = new BeagleNGramVectors(
flagConfig, "index", 5, 2, new String[] {"contents"}, numGrams, "stoplist.txt");
time = System.currentTimeMillis() - time;
System.out.println("\nTime to process: " + time/1000 + " secs.");
System.out.println("\nNumber of convolutions: " + utils.getNumConvolutions());
VectorStoreWriter.writeVectors(
fileOut + "_" + flagConfig.dimension() + "_" + numGrams + ".bin", flagConfig, bngv);
VectorStore indexVectors = bngv.getIndexVectors();
VectorStoreWriter.writeVectors(
fileOut + "_" + flagConfig.dimension() + "_" + numGrams + "_index.bin", flagConfig, indexVectors);
bngv = null;
System.gc();
}
catch(Exception e)
{
e.printStackTrace();
}
}
示例3: main
import pitt.search.semanticvectors.VectorStoreWriter; //导入方法依赖的package包/类
public static void main(String[] args) throws IOException {
FlagConfig flagConfig = null;
try {
flagConfig = FlagConfig.getFlagConfig(args);
args = flagConfig.remainingArgs;
} catch (IllegalArgumentException e) {
System.err.println(usageMessage);
throw e;
}
VerbatimLogger.info("Building vector index of table in file: " + args[0] + "\n");
BufferedReader fileReader = new BufferedReader(new FileReader(args[0]));
String[] columnHeaders = fileReader.readLine().split(",");
ArrayList<String[]> dataRows = new ArrayList<>();
String dataLine;
while((dataLine = fileReader.readLine()) != null) {
String[] dataEntries = dataLine.split(",");
if (dataEntries.length != columnHeaders.length) {
throw new IllegalArgumentException(String.format(
"Column headers have length %d and this row has length %d. This indicates a data error or a csv parsing error."
+ "\nColumn headers:%s\nData row: %s\n",
columnHeaders.length, dataEntries.length,
StringUtils.join(columnHeaders), StringUtils.join(dataEntries)));
}
dataRows.add(dataEntries);
}
fileReader.close();
Table table = new Table(flagConfig, columnHeaders, dataRows);
VectorStoreWriter.writeVectors(flagConfig.termvectorsfile(), flagConfig, table.getRowVectorStore());
queryForSpecialValues(table);
}