Package edu.uci.jforestsx.tools

Source Code of edu.uci.jforestsx.tools.Sparse2ArffConvertor

/**
* Licensed to the Apache Software Foundation (ASF) under one or more
* contributor license agreements.  See the NOTICE file distributed with
* this work for additional information regarding copyright ownership.
* The ASF licenses this file to You under the Apache License, Version 2.0
* (the "License"); you may not use this file except in compliance with
* the License.  You may obtain a copy of the License at
*
*     http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/

package edu.uci.jforestsx.tools;

import java.io.File;
import java.io.PrintStream;

import edu.uci.jforestsx.input.FeatureValuePair;
import edu.uci.jforestsx.input.sparse.FeatureMetaData;
import edu.uci.jforestsx.input.sparse.MetaData;
import edu.uci.jforestsx.input.sparse.MetaLineParser;
import edu.uci.jforestsx.input.sparse.SparseTextFileLine;
import edu.uci.jforestsx.input.sparse.SparseTextFileReader;

/**
* Converts a file from the Sparse format to Arff format which
* can then be used in Weka package.
*
* @author Yasser Ganjisaffar <ganjisaffar at gmail dot com>
*/

public class Sparse2ArffConvertor {
 
  private SparseTextFileReader reader;
  private PrintStream output;
  private boolean dumpAsSparse;
  private SparseTextFileLine line;
  private int featureCount;
  private StringBuilder sb;
  private int targetColIdx;
 
  public void init(String inputFile, String outputFile, boolean dumpAsSparse) throws Exception {
    reader = new SparseTextFileReader();
    reader.open(inputFile);
    this.dumpAsSparse = dumpAsSparse;
   
    output = new PrintStream(new File(outputFile));
    output.println("@RELATION myrel");
    output.println();
   
    sb = new StringBuilder();
    line = new SparseTextFileLine();
  }
 
  public void dumpHeaderFromInputFile() {
    featureCount = 0;
    while (reader.loadNextLine(line)) {
      if (line.meta) {
        MetaData metaData = MetaLineParser.parse(line.content);
        if (metaData instanceof FeatureMetaData) {
          output.println("@ATTRIBUTE " + ((FeatureMetaData) metaData).name + " REAL");
          featureCount++;
        }
      } else {
        output.println("@ATTRIBUTE target REAL");
        output.println("");
        output.println("@DATA");
        targetColIdx = featureCount;
        processLine(line);
        break;
      }
    }
  }
 
  public void dumpHeader(int featureCount) {
    for (int f = 0; f < featureCount; f++) {
      output.println("@ATTRIBUTE f" + (f+1) + " REAL");
    }
    this.featureCount = featureCount;
    output.println("@ATTRIBUTE target REAL");
    output.println("");
    output.println("@DATA");
    targetColIdx = featureCount;
  }
 
  private void processLine(SparseTextFileLine line) {
    sb.setLength(0);
    if (dumpAsSparse) {
      sb.append("{");
      for (int i = 0; i < line.numPairs; i++) {
        FeatureValuePair pair = line.pairs[i];
        if (sb.length() > 1) {
          sb.append(",");
        }
        sb.append((pair.featureIndex - 1) + " " + pair.featureValue);
      }
      sb.append(", " + targetColIdx + " " + line.target);
      sb.append("}\n");
    } else {
      int prevFeatureIdx = 0;
      for (int i = 0; i < line.numPairs; i++) {
        FeatureValuePair pair = line.pairs[i];
        while (pair.featureIndex > prevFeatureIdx + 1) {
          if (sb.length() > 0) {
            sb.append(",");
          }
          sb.append("0");
          prevFeatureIdx++;
        }
        if (sb.length() > 0) {
          sb.append(",");
        }
        String fValue = "" + pair.featureValue;
        if (fValue.endsWith(".0")) {
          fValue = fValue.substring(0, fValue.length() - 2);
        }
        sb.append(fValue);
        prevFeatureIdx = pair.featureIndex;
      }
      for (int i = prevFeatureIdx; i < featureCount; i++) {
        sb.append(",0");
      }
      sb.append("," + line.target + "\n");
    }
    output.print(sb.toString());
  }

  public void convert() throws Exception {
    int count = 0;
    while (reader.loadNextLine(line)) {
      processLine(line);
      count++;
      if (count % 10000 == 0) {
        System.out.println("\t Processed: " + count);
      }
    }
    reader.close();
    output.close();
 
}
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