Examples of processLineAlt()

Examples of tv.floe.metronome.io.records.RCV1RecordFactory.processLineAlt()

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          rec_count++;
 
          Vector vec = new RandomAccessSparseVector(qtf.feature_size);
         
           
            double actual = factory.processLineAlt(line, vec);

            // we're only looking at the first row or the matrix because
            // the original code was for multinomial log regression
            // but here we only need a single parameter vector
            double hypothesis_value = polr.getBeta().viewRow(0).dot(vec);
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Examples of tv.floe.metronome.io.records.RCV1RecordFactory.processLineAlt()

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        } else {
   
          Vector vec = new RandomAccessSparseVector(qtf.feature_size);
           
            double y_observed = factory.processLineAlt(line, vec);
            double y_predicted = polr.getBeta().viewRow(0).dot(vec);
           
            SSyy_partial_sum += Math.pow( (y_observed - y_bar), 2 );
           
            SSE_partial_sum += Math.pow( (y_observed - y_predicted), 2 );
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Examples of tv.floe.metronome.io.records.RCV1RecordFactory.processLineAlt()

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        System.out.println( "> " + line  );
 
        Vector vec = new RandomAccessSparseVector(2);
       
         
          double y_observed = factory.processLineAlt(line, vec);
       
          System.out.println( "Parsed: y:" + y_observed + ", x: " + vec.get(1) + "\n" );
         
          y_partial_sum += y_observed;
          rec_count++;
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Examples of tv.floe.metronome.io.records.RCV1RecordFactory.processLineAlt()

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          rec_count++;
 
          Vector vec = new RandomAccessSparseVector(2);
         
           
            double actual = factory.processLineAlt(line, vec);

            //Utils.PrintVector(vec);
         
            // we're only looking at the first row or the matrix because
            // the original code was for multinomial log regression
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Examples of tv.floe.metronome.io.records.RCV1RecordFactory.processLineAlt()

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      } else {

        Vector vec = new RandomAccessSparseVector(2);
       
         
          double y_observed = factory.processLineAlt(line, vec);
          double y_predicted = polr.getBeta().viewRow(0).dot(vec);
       
         
          SSyy_partial_sum += Math.pow( (y_observed - y_bar), 2 );
         
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