Package tv.floe.metronome.eval

Examples of tv.floe.metronome.eval.Evaluation.stats()

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    //log.info(predict.toString());

    Evaluation eval = new Evaluation();
    eval.eval( y_xor_Matrix, predict );
    //log.info(eval.stats());
    System.out.println( eval.stats() );

    System.out.println( "Total Correct: " + eval.correctScores() + " out of " + x_xor_Matrix.numRows() );
 
 
  }
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    //log.info(predict.toString());

    Evaluation eval = new Evaluation();
    eval.eval( y_toy_Matrix, predict );
    //log.info(eval.stats());
    System.out.println( eval.stats() );

    System.out.println( "Total Correct: " + eval.correctScores() + " out of " + x_toy_Matrix.numRows() );
 
 
  } 
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    //log.info(predict.toString());

    Evaluation eval = new Evaluation();
    eval.eval(y, predict);
    //log.info(eval.stats());
    System.out.println( eval.stats() );

    System.out.println( "Total Correct: " + eval.correctScores() + " out of " + n );

   
   
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        //log.info(predict.toString());

        Evaluation eval = new Evaluation();
        eval.eval(yMatrix, predict);
        //log.info(eval.stats());
        System.out.println( eval.stats() );

        System.out.println( "Total Correct: " + eval.correctScores() + " out of " + yMatrix.numRows() );
       
       
   
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    Matrix predict = logRegression.predict(input);

    Evaluation eval = new Evaluation();
    eval.eval(labels, predict);
    //log.info(eval.stats());
    System.out.println( eval.stats() );

    System.out.println( "Total Correct: " + eval.correctScores() + " out of " + labels.numRows() );
   
    assertEquals( 0.95, eval.f1(), 0.1 );
   
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    //log.info(predict.toString());

    Evaluation eval = new Evaluation();
    eval.eval(y_xor_Matrix, predictions);
    //log.info(eval.stats());
    System.out.println( eval.stats() );

    System.out.println( "Total Correct: " + eval.correctScores() + " out of " + y_xor_Matrix.numRows() );
   
   
  }
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    //log.info(predict.toString());

    Evaluation eval = new Evaluation();
    eval.eval(yMatrix, predict);
    //log.info(eval.stats());
    System.out.println( eval.stats() );

    System.out.println( "Total Correct: " + eval.correctScores() + " out of " + yMatrix.numRows() );
   
   
    MatrixUtils.debug_print(predict);
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    //log.info(predict.toString());

    Evaluation eval = new Evaluation();
    eval.eval(labels, predict);
    //log.info(eval.stats());
    System.out.println( eval.stats() );

    System.out.println( "Total Correct: " + eval.correctScores() + " out of " + labels.numRows() );
   
    assertEquals( 0.90, eval.f1(), 0.02 );
   
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    //log.info(predict.toString());

    Evaluation eval = new Evaluation();
    eval.eval(labels, predict);
    //log.info(eval.stats());
    System.out.println( eval.stats() );

    System.out.println( "Total Correct: " + eval.correctScores() + " out of " + labels.numRows() );
   
    assertEquals( 0.95, eval.f1(), 0.1 );
   
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    }
   
   
   
    log.warn( "evaluateModel" );
    log.info( eval.stats() );   
   
    //writeReportToDisk( eval, pathForReport );
   
  } 
 
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