Examples of BenchmarkFnD

Examples of org.apache.mahout.benchmark.BenchmarkRunner.BenchmarkFnD

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  public DistanceBenchmark(VectorBenchmarks mark) {
    this.mark = mark;
  }

  public void benchmark(final DistanceMeasure measure) {
    mark.printStats(mark.getRunner().benchmarkD(new BenchmarkFnD() {
      @Override
      public Double apply(Integer i) {
        return measure.distance(mark.vectors[0][mark.vIndex(i)], mark.vectors[0][mark.vIndex(randIndex())]);
      }
    }), measure.getClass().getName(), DENSE_VECTOR);

    mark.printStats(mark.getRunner().benchmarkD(new BenchmarkFnD() {
      @Override
      public Double apply(Integer i) {
        return measure.distance(mark.vectors[1][mark.vIndex(i)], mark.vectors[1][mark.vIndex(randIndex())]);
      }
    }), measure.getClass().getName(), RAND_SPARSE_VECTOR);

    mark.printStats(mark.getRunner().benchmarkD(new BenchmarkFnD() {
      @Override
      public Double apply(Integer i) {
        return measure.distance(mark.vectors[2][mark.vIndex(i)], mark.vectors[2][mark.vIndex(randIndex())]);
      }
    }), measure.getClass().getName(), SEQ_SPARSE_VECTOR);

    mark.printStats(mark.getRunner().benchmarkD(new BenchmarkFnD() {
      @Override
      public Double apply(Integer i) {
        return measure.distance(mark.vectors[0][mark.vIndex(i)], mark.vectors[1][mark.vIndex(randIndex())]);
      }
    }), measure.getClass().getName(), DENSE_FN_RAND);

    mark.printStats(mark.getRunner().benchmarkD(new BenchmarkFnD() {
      @Override
      public Double apply(Integer i) {
        return measure.distance(mark.vectors[0][mark.vIndex(i)], mark.vectors[2][mark.vIndex(randIndex())]);
      }
    }), measure.getClass().getName(), DENSE_FN_SEQ);

    mark.printStats(mark.getRunner().benchmarkD(new BenchmarkFnD() {
      @Override
      public Double apply(Integer i) {
        return measure.distance(mark.vectors[1][mark.vIndex(i)], mark.vectors[0][mark.vIndex(randIndex())]);
      }
    }), measure.getClass().getName(), RAND_FN_DENSE);

    mark.printStats(mark.getRunner().benchmarkD(new BenchmarkFnD() {
      @Override
      public Double apply(Integer i) {
        return measure.distance(mark.vectors[1][mark.vIndex(i)], mark.vectors[2][mark.vIndex(randIndex())]);
      }
    }), measure.getClass().getName(), RAND_FN_SEQ);

    mark.printStats(mark.getRunner().benchmarkD(new BenchmarkFnD() {
      @Override
      public Double apply(Integer i) {
        return measure.distance(mark.vectors[2][mark.vIndex(i)], mark.vectors[0][mark.vIndex(randIndex())]);
      }
    }), measure.getClass().getName(), SEQ_FN_DENSE);

    mark.printStats(mark.getRunner().benchmarkD(new BenchmarkFnD() {
      @Override
      public Double apply(Integer i) {
        return measure.distance(mark.vectors[2][mark.vIndex(i)], mark.vectors[1][mark.vIndex(randIndex())]);
      }
    }), measure.getClass().getName(), SEQ_FN_RAND);
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Examples of org.apache.mahout.benchmark.BenchmarkRunner.BenchmarkFnD

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      }
    }), LOG_NORMALIZE, SEQ_SPARSE_VECTOR);
  }

  private void benchmarkNorm1() {
    mark.printStats(mark.getRunner().benchmarkD(new BenchmarkFnD() {
      @Override
      public Double apply(Integer i) {
        return mark.vectors[0][mark.vIndex(i)].norm(1);
      }
    }), NORM1, DENSE_VECTOR);

    mark.printStats(mark.getRunner().benchmarkD(new BenchmarkFnD() {
      @Override
      public Double apply(Integer i) {
        return mark.vectors[1][mark.vIndex(i)].norm(1);
      }
    }), NORM1, RAND_SPARSE_VECTOR);

    mark.printStats(mark.getRunner().benchmarkD(new BenchmarkFnD() {
      @Override
      public Double apply(Integer i) {
        return mark.vectors[2][mark.vIndex(i)].norm(1);
      }
    }), NORM1, SEQ_SPARSE_VECTOR);
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Examples of org.apache.mahout.benchmark.BenchmarkRunner.BenchmarkFnD

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      }
    }), NORM1, SEQ_SPARSE_VECTOR);
  }

  private void benchmarkNorm2() {
    mark.printStats(mark.getRunner().benchmarkD(new BenchmarkFnD() {
      @Override
      public Double apply(Integer i) {
        return mark.vectors[0][mark.vIndex(i)].norm(2);
      }
    }), NORM2, DENSE_VECTOR);

    mark.printStats(mark.getRunner().benchmarkD(new BenchmarkFnD() {
      @Override
      public Double apply(Integer i) {
        return mark.vectors[1][mark.vIndex(i)].norm(2);
      }
    }), NORM2, RAND_SPARSE_VECTOR);

    mark.printStats(mark.getRunner().benchmarkD(new BenchmarkFnD() {
      @Override
      public Double apply(Integer i) {
        return mark.vectors[2][mark.vIndex(i)].norm(2);
      }
    }), NORM2, SEQ_SPARSE_VECTOR);
View Full Code Here

Examples of org.apache.mahout.benchmark.BenchmarkRunner.BenchmarkFnD

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      }
    }), NORM2, SEQ_SPARSE_VECTOR);
  }

  private void benchmarkDot() {
    mark.printStats(mark.getRunner().benchmarkD(new BenchmarkFnD() {
      @Override
      public Double apply(Integer i) {
        return mark.vectors[0][mark.vIndex(i)].dot(mark.vectors[0][mark.vIndex(randIndex())]);
      }
    }), DOT_PRODUCT, DENSE_VECTOR);

    mark.printStats(mark.getRunner().benchmarkD(new BenchmarkFnD() {
      @Override
      public Double apply(Integer i) {
        return mark.vectors[1][mark.vIndex(i)].dot(mark.vectors[1][mark.vIndex(randIndex())]);
      }
    }), DOT_PRODUCT, RAND_SPARSE_VECTOR);

    mark.printStats(mark.getRunner().benchmarkD(new BenchmarkFnD() {
      @Override
      public Double apply(Integer i) {
        return mark.vectors[2][mark.vIndex(i)].dot(mark.vectors[2][mark.vIndex(randIndex())]);
      }
    }), DOT_PRODUCT, SEQ_SPARSE_VECTOR);

    mark.printStats(mark.getRunner().benchmarkD(new BenchmarkFnD() {
      @Override
      public Double apply(Integer i) {
        return mark.vectors[0][mark.vIndex(i)].dot(mark.vectors[1][mark.vIndex(randIndex())]);
      }
    }), DOT_PRODUCT, DENSE_FN_RAND);

    mark.printStats(mark.getRunner().benchmarkD(new BenchmarkFnD() {
      @Override
      public Double apply(Integer i) {
        return mark.vectors[0][mark.vIndex(i)].dot(mark.vectors[2][mark.vIndex(randIndex())]);
      }
    }), DOT_PRODUCT, DENSE_FN_SEQ);

    mark.printStats(mark.getRunner().benchmarkD(new BenchmarkFnD() {
      @Override
      public Double apply(Integer i) {
        return mark.vectors[1][mark.vIndex(i)].dot(mark.vectors[0][mark.vIndex(randIndex())]);
      }
    }), DOT_PRODUCT, RAND_FN_DENSE);

    mark.printStats(mark.getRunner().benchmarkD(new BenchmarkFnD() {
      @Override
      public Double apply(Integer i) {
        return mark.vectors[1][mark.vIndex(i)].dot(mark.vectors[2][mark.vIndex(randIndex())]);
      }
    }), DOT_PRODUCT, RAND_FN_SEQ);

    mark.printStats(mark.getRunner().benchmarkD(new BenchmarkFnD() {
      @Override
      public Double apply(Integer i) {
        return mark.vectors[2][mark.vIndex(i)].dot(mark.vectors[0][mark.vIndex(randIndex())]);
      }
    }), DOT_PRODUCT, SEQ_FN_DENSE);

    mark.printStats(mark.getRunner().benchmarkD(new BenchmarkFnD() {
      @Override
      public Double apply(Integer i) {
        return mark.vectors[2][mark.vIndex(i)].dot(mark.vectors[1][mark.vIndex(randIndex())]);
      }
    }), DOT_PRODUCT, SEQ_FN_RAND);
View Full Code Here

Examples of org.apache.mahout.benchmark.BenchmarkRunner.BenchmarkFnD

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  public DistanceBenchmark(VectorBenchmarks mark) {
    this.mark = mark;
  }

  public void benchmark(final DistanceMeasure measure) {
    mark.printStats(mark.getRunner().benchmarkD(new BenchmarkFnD() {
      @Override
      public Double apply(Integer i) {
        return measure.distance(mark.vectors[0][mark.vIndex(i)], mark.vectors[0][mark.vIndex(randIndex())]);
      }
    }), measure.getClass().getName(), DENSE_VECTOR);

    mark.printStats(mark.getRunner().benchmarkD(new BenchmarkFnD() {
      @Override
      public Double apply(Integer i) {
        return measure.distance(mark.vectors[1][mark.vIndex(i)], mark.vectors[1][mark.vIndex(randIndex())]);
      }
    }), measure.getClass().getName(), RAND_SPARSE_VECTOR);

    mark.printStats(mark.getRunner().benchmarkD(new BenchmarkFnD() {
      @Override
      public Double apply(Integer i) {
        return measure.distance(mark.vectors[2][mark.vIndex(i)], mark.vectors[2][mark.vIndex(randIndex())]);
      }
    }), measure.getClass().getName(), SEQ_SPARSE_VECTOR);

    mark.printStats(mark.getRunner().benchmarkD(new BenchmarkFnD() {
      @Override
      public Double apply(Integer i) {
        return measure.distance(mark.vectors[0][mark.vIndex(i)], mark.vectors[1][mark.vIndex(randIndex())]);
      }
    }), measure.getClass().getName(), DENSE_FN_RAND);

    mark.printStats(mark.getRunner().benchmarkD(new BenchmarkFnD() {
      @Override
      public Double apply(Integer i) {
        return measure.distance(mark.vectors[0][mark.vIndex(i)], mark.vectors[2][mark.vIndex(randIndex())]);
      }
    }), measure.getClass().getName(), DENSE_FN_SEQ);

    mark.printStats(mark.getRunner().benchmarkD(new BenchmarkFnD() {
      @Override
      public Double apply(Integer i) {
        return measure.distance(mark.vectors[1][mark.vIndex(i)], mark.vectors[0][mark.vIndex(randIndex())]);
      }
    }), measure.getClass().getName(), RAND_FN_DENSE);

    mark.printStats(mark.getRunner().benchmarkD(new BenchmarkFnD() {
      @Override
      public Double apply(Integer i) {
        return measure.distance(mark.vectors[1][mark.vIndex(i)], mark.vectors[2][mark.vIndex(randIndex())]);
      }
    }), measure.getClass().getName(), RAND_FN_SEQ);

    mark.printStats(mark.getRunner().benchmarkD(new BenchmarkFnD() {
      @Override
      public Double apply(Integer i) {
        return measure.distance(mark.vectors[2][mark.vIndex(i)], mark.vectors[0][mark.vIndex(randIndex())]);
      }
    }), measure.getClass().getName(), SEQ_FN_DENSE);

    mark.printStats(mark.getRunner().benchmarkD(new BenchmarkFnD() {
      @Override
      public Double apply(Integer i) {
        return measure.distance(mark.vectors[2][mark.vIndex(i)], mark.vectors[1][mark.vIndex(randIndex())]);
      }
    }), measure.getClass().getName(), SEQ_FN_RAND);
View Full Code Here

Examples of org.apache.mahout.benchmark.BenchmarkRunner.BenchmarkFnD

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      }
    }), LOG_NORMALIZE, SEQ_SPARSE_VECTOR);
  }

  private void benchmarkNorm1() {
    mark.printStats(mark.getRunner().benchmarkD(new BenchmarkFnD() {
      @Override
      public Double apply(Integer i) {
        return mark.vectors[0][mark.vIndex(i)].norm(1);
      }
    }), NORM1, DENSE_VECTOR);

    mark.printStats(mark.getRunner().benchmarkD(new BenchmarkFnD() {
      @Override
      public Double apply(Integer i) {
        return mark.vectors[1][mark.vIndex(i)].norm(1);
      }
    }), NORM1, RAND_SPARSE_VECTOR);

    mark.printStats(mark.getRunner().benchmarkD(new BenchmarkFnD() {
      @Override
      public Double apply(Integer i) {
        return mark.vectors[2][mark.vIndex(i)].norm(1);
      }
    }), NORM1, SEQ_SPARSE_VECTOR);
View Full Code Here

Examples of org.apache.mahout.benchmark.BenchmarkRunner.BenchmarkFnD

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      }
    }), NORM1, SEQ_SPARSE_VECTOR);
  }

  private void benchmarkNorm2() {
    mark.printStats(mark.getRunner().benchmarkD(new BenchmarkFnD() {
      @Override
      public Double apply(Integer i) {
        return mark.vectors[0][mark.vIndex(i)].norm(2);
      }
    }), NORM2, DENSE_VECTOR);

    mark.printStats(mark.getRunner().benchmarkD(new BenchmarkFnD() {
      @Override
      public Double apply(Integer i) {
        return mark.vectors[1][mark.vIndex(i)].norm(2);
      }
    }), NORM2, RAND_SPARSE_VECTOR);

    mark.printStats(mark.getRunner().benchmarkD(new BenchmarkFnD() {
      @Override
      public Double apply(Integer i) {
        return mark.vectors[2][mark.vIndex(i)].norm(2);
      }
    }), NORM2, SEQ_SPARSE_VECTOR);
View Full Code Here

Examples of org.apache.mahout.benchmark.BenchmarkRunner.BenchmarkFnD

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      }
    }), NORM2, SEQ_SPARSE_VECTOR);
  }

  private void benchmarkDot() {
    mark.printStats(mark.getRunner().benchmarkD(new BenchmarkFnD() {
      @Override
      public Double apply(Integer i) {
        return mark.vectors[0][mark.vIndex(i)].dot(mark.vectors[0][mark.vIndex(randIndex())]);
      }
    }), DOT_PRODUCT, DENSE_VECTOR);

    mark.printStats(mark.getRunner().benchmarkD(new BenchmarkFnD() {
      @Override
      public Double apply(Integer i) {
        return mark.vectors[1][mark.vIndex(i)].dot(mark.vectors[1][mark.vIndex(randIndex())]);
      }
    }), DOT_PRODUCT, RAND_SPARSE_VECTOR);

    mark.printStats(mark.getRunner().benchmarkD(new BenchmarkFnD() {
      @Override
      public Double apply(Integer i) {
        return mark.vectors[2][mark.vIndex(i)].dot(mark.vectors[2][mark.vIndex(randIndex())]);
      }
    }), DOT_PRODUCT, SEQ_SPARSE_VECTOR);

    mark.printStats(mark.getRunner().benchmarkD(new BenchmarkFnD() {
      @Override
      public Double apply(Integer i) {
        return mark.vectors[0][mark.vIndex(i)].dot(mark.vectors[1][mark.vIndex(randIndex())]);
      }
    }), DOT_PRODUCT, DENSE_FN_RAND);

    mark.printStats(mark.getRunner().benchmarkD(new BenchmarkFnD() {
      @Override
      public Double apply(Integer i) {
        return mark.vectors[0][mark.vIndex(i)].dot(mark.vectors[2][mark.vIndex(randIndex())]);
      }
    }), DOT_PRODUCT, DENSE_FN_SEQ);

    mark.printStats(mark.getRunner().benchmarkD(new BenchmarkFnD() {
      @Override
      public Double apply(Integer i) {
        return mark.vectors[1][mark.vIndex(i)].dot(mark.vectors[0][mark.vIndex(randIndex())]);
      }
    }), DOT_PRODUCT, RAND_FN_DENSE);

    mark.printStats(mark.getRunner().benchmarkD(new BenchmarkFnD() {
      @Override
      public Double apply(Integer i) {
        return mark.vectors[1][mark.vIndex(i)].dot(mark.vectors[2][mark.vIndex(randIndex())]);
      }
    }), DOT_PRODUCT, RAND_FN_SEQ);

    mark.printStats(mark.getRunner().benchmarkD(new BenchmarkFnD() {
      @Override
      public Double apply(Integer i) {
        return mark.vectors[2][mark.vIndex(i)].dot(mark.vectors[0][mark.vIndex(randIndex())]);
      }
    }), DOT_PRODUCT, SEQ_FN_DENSE);

    mark.printStats(mark.getRunner().benchmarkD(new BenchmarkFnD() {
      @Override
      public Double apply(Integer i) {
        return mark.vectors[2][mark.vIndex(i)].dot(mark.vectors[1][mark.vIndex(randIndex())]);
      }
    }), DOT_PRODUCT, SEQ_FN_RAND);
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