Package org.apache.commons.math.stat.descriptive

Examples of org.apache.commons.math.stat.descriptive.DescriptiveStatistics

82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
        weightedValues[i] = measurement.value().magnitude() / measurement.weight();
        i++;
      }
      Percentile percentile = new Percentile();
      percentile.setData(weightedValues);
      DescriptiveStatistics descriptiveStatistics = new DescriptiveStatistics(weightedValues);
      String unit = Iterables.getOnlyElement(units);
      stdout.printf(
          "  %s%s: min=%.2f, 1st qu.=%.2f, median=%.2f, mean=%.2f, 3rd qu.=%.2f, max=%.2f%n",
          entry.getKey(), unit.isEmpty() ? "" : "(" + unit + ")",
          descriptiveStatistics.getMin(), percentile.evaluate(25),
          percentile.evaluate(50), descriptiveStatistics.getMean(),
          percentile.evaluate(75), descriptiveStatistics.getMax());
    }

    instrumentSpecs.add(trial.instrumentSpec());
    Scenario scenario = trial.scenario();
    vmSpecs.add(scenario.vmSpec());
View Full Code Here
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
                new int[]{7, 0, 0, 0}, //Max INdex Per Tensor
                20, 2, true);
        rp.reset(-3806751651286565680L);
        System.out.println("Random Seed = " + rp.getSeed());
        System.out.println("NM Seed = " + CC.getNameManager().getSeed());
        DescriptiveStatistics timeStats = new DescriptiveStatistics();
        DescriptiveStatistics trysStats = new DescriptiveStatistics();
        int count = 0;
        while (++count < 5000) {
            CC.resetTensorNames();
            Product from = rp.next();
            Product target = from.clone();

            long start = System.nanoTime();
            ProductsBijectionsPort port = new ProductsBijectionsPort(from.getContent(), target.getContent());

            int[] bijection;
            boolean good = false;
            int trys = 0;
            OUTER:
            while (trys++ < 5000 && (bijection = port.take()) != null) {
                for (int i = 0; i < bijection.length; ++i)
                    if (bijection[i] != i)
                        continue OUTER;
                good = true;
                break;
            }

            double millis = 1E-6 * (System.nanoTime() - start);
            timeStats.addValue(millis);
            trysStats.addValue(trys);

            if (!good)
                throw new RuntimeException();
        }
        System.out.println(timeStats);
View Full Code Here
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
//        Product t = rp.next();
//        ContractionsGraphDrawer.drawToPngFile(t, "/home/stas/Projects/Durty/", "Huge1");


        DescriptiveStatistics timeStats = new DescriptiveStatistics();
        DescriptiveStatistics trysStats = new DescriptiveStatistics();
        int count = -1;
        while (++count < 100) {
            CC.resetTensorNames();
            Product from = rp.next();
            Product target = from.clone();

            long start = System.nanoTime();
            Tensor[] dataFrom = from.getContent().getDataCopy();
            Tensor[] dataTarget = target.getContent().getDataCopy();
//             if (count == 6)
//                ContractionsGraphDrawer.drawToPngFile(from, "/home/stas/Projects/Durty/", "Huge6");
            if (count == 24)
                ContractionsGraphDrawer.drawToPngFile(from, "/home/stas/Projects/Durty/", "Huge24");
            if (count == 30)
                ContractionsGraphDrawer.drawToPngFile(from, "/home/stas/Projects/Durty/", "Huge30");
            ProductsBijectionsPort port = new ProductsBijectionsPort(from.getContent(), target.getContent());

//            List<int[]> bijections = new ArrayList<>();
            int[] bijection;
            boolean good = false;
            int trys = 0;
            OUTER:
            while (trys++ < 5000 && (bijection = port.take()) != null)
//                System.out.println(Arrays.toString(bijection));
//                bijections.add(bijection.clone());
                if (IndexMappings.createBijectiveProductPort(dataFrom, dataTo(dataTarget, bijection), false).take() != null) {
                    good = true;
                    System.out.println(count + "  " + trys);
                    break;
                }
//            if (trys == 3169) {
//                ContractionsGraphDrawer.drawToPngFile(from, "/home/stas/Projects/Durty/", "Worst");
//                for (int[] b : bijections)
//                    System.out.println(Arrays.toString(b));
//            }
            double millis = 1E-6 * (System.nanoTime() - start);
            timeStats.addValue(millis);
            trysStats.addValue(trys);

            if (!good)
                throw new RuntimeException();
        }
        System.out.println(timeStats);
View Full Code Here
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
                new int[]{7, 0, 0, 0}, //Max INdex Per Tensor
                20, 2, true);
        rp.reset(-3806751651286565680L);
        System.out.println("Random Seed = " + rp.getSeed());
        System.out.println("NM Seed = " + CC.getNameManager().getSeed());
        DescriptiveStatistics timeStats = new DescriptiveStatistics();
        DescriptiveStatistics trysStats = new DescriptiveStatistics();
        int count = 0;
        while (++count < 5000) {
            CC.resetTensorNames();
            Product from = rp.next();
            Product target = from.clone();

            long start = System.nanoTime();
            ProductsBijectionsPort port = new ProductsBijectionsPort(from.getContent(), target.getContent());
            Tensor[] dataFrom = from.getContent().getDataCopy();
            Tensor[] dataTarget = target.getContent().getDataCopy();
//            List<int[]> bijections = new ArrayList<>();
            int[] bijection;
            boolean good = false;
            int trys = 0;
            OUTER:
            while (trys++ < 5000 && (bijection = port.take()) != null) {
//                bijections.add(bijection.clone());
                if (IndexMappings.createBijectiveProductPort(dataFrom, dataTo(dataTarget, bijection), false).take() != null) {
                    good = true;
                    break;
                }
            }
//            if (trys == 3169) {
//                ContractionsGraphDrawer.drawToPngFile(from, "/home/stas/Projects/Durty/", "Worst");
//                for (int[] b : bijections)
//                    System.out.println(Arrays.toString(b));
//            }
            double millis = 1E-6 * (System.nanoTime() - start);
            timeStats.addValue(millis);
            trysStats.addValue(trys);

            if (!good)
                throw new RuntimeException();
        }
        System.out.println(timeStats);
View Full Code Here
136
137
138
139
140
141
142
143
144
145
146
147
                // Create the repository
                RepositoryImpl repository = createRepository(dir, xml);
                try {
                    // Run the test
                    DescriptiveStatistics statistics = runTest(test, repository);
                    if (statistics.getN() > 0) {
                        writeReport(test.toString(), name, statistics);
                    }
                } finally {
                    repository.shutdown();
                }
View Full Code Here
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
    }

    private DescriptiveStatistics runTest(
            AbstractTest test, Repository repository)
            throws Exception {
        DescriptiveStatistics statistics = new DescriptiveStatistics();

        test.setUp(repository, credentials);
        try {
            // Run a few iterations to warm up the system
            long warmupEnd = System.currentTimeMillis() + warmup * 1000;
            while (System.currentTimeMillis() < warmupEnd) {
                test.execute();
            }

            // Run test iterations, and capture the execution times
            long runtimeEnd = System.currentTimeMillis() + runtime * 1000;
            while (System.currentTimeMillis() < runtimeEnd) {
                statistics.addValue(test.execute());
            }
        } finally {
            test.tearDown();
        }

View Full Code Here
72
73
74
75
76
77
78
79
80
81
82
83
            RepositoryImpl repository;
            try {
                repository = createRepository(microKernel);

                // Run the test
                DescriptiveStatistics statistics = runTest(test, repository);
                if (statistics.getN() > 0) {
                    writeReport(test.toString(), name, microKernel, statistics);
                }
            } catch (RepositoryException re) {
                re.printStackTrace();
            } catch (Exception e) {
View Full Code Here
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
        }
    }

    private DescriptiveStatistics runTest(AbstractTest test,
            Repository repository) throws Exception {
        DescriptiveStatistics statistics = new DescriptiveStatistics();

        test.setUp(repository, credentials);
        try {
            // Run a few iterations to warm up the system
            long warmupEnd = System.currentTimeMillis() + warmup * 1000;
            while (System.currentTimeMillis() < warmupEnd) {
                test.execute();
            }

            // Run test iterations, and capture the execution times
            long runtimeEnd = System.currentTimeMillis() + runtime * 1000;
            while (System.currentTimeMillis() < runtimeEnd) {
                statistics.addValue(test.execute());
            }
        } finally {
            test.tearDown();
        }

View Full Code Here
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
    /**
     * Test StorelessDescriptiveStatistics
     */
    public void testStoredUnivariateImpl() throws Exception {

        DescriptiveStatistics u = DescriptiveStatistics.newInstance();
       
        loadStats("data/PiDigits.txt", u);
        assertEquals("PiDigits: std", std, u.getStandardDeviation(), .0000000000001);
        assertEquals("PiDigits: mean", mean, u.getMean(), .0000000000001);
       
        loadStats("data/Mavro.txt", u);
        assertEquals("Mavro: std", std, u.getStandardDeviation(), .00000000000001);
        assertEquals("Mavro: mean", mean, u.getMean(), .00000000000001);       
       
        //loadStats("data/Michelso.txt");
        //assertEquals("Michelso: std", std, u.getStandardDeviation(), .00000000000001);
        //assertEquals("Michelso: mean", mean, u.getMean(), .00000000000001);  

        loadStats("data/NumAcc1.txt", u);
        assertEquals("NumAcc1: std", std, u.getStandardDeviation(), .00000000000001);
        assertEquals("NumAcc1: mean", mean, u.getMean(), .00000000000001);
       
        //loadStats("data/NumAcc2.txt");
        //assertEquals("NumAcc2: std", std, u.getStandardDeviation(), .000000001);
        //assertEquals("NumAcc2: mean", mean, u.getMean(), .00000000000001);
    }
View Full Code Here
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
     * @param file
     * @param statistical summary
     */
    private void loadStats(String resource, Object u) throws Exception {
       
        DescriptiveStatistics d = null;
        SummaryStatistics s = null;
        if (u instanceof DescriptiveStatistics) {
            d = (DescriptiveStatistics) u;
        } else {
            s = (SummaryStatistics) u;
        }
        u.getClass().getDeclaredMethod(
                "clear", new Class[]{}).invoke(u, new Object[]{});
        mean = Double.NaN;
        std = Double.NaN;
       
        BufferedReader in =
            new BufferedReader(
                    new InputStreamReader(
                            getClass().getResourceAsStream(resource)));
       
        String line = null;
       
        for (int j = 0; j < 60; j++) {
            line = in.readLine();
            if (j == 40) {
                mean =
                    Double.parseDouble(
                            line.substring(line.lastIndexOf(":") + 1).trim());
            }
            if (j == 41) {
                std =
                    Double.parseDouble(
                            line.substring(line.lastIndexOf(":") + 1).trim());
            }
        }
       
        line = in.readLine();
       
        while (line != null) {
            if (d != null) {
                d.addValue(Double.parseDouble(line.trim()));
            }  else {
                s.addValue(Double.parseDouble(line.trim()));
            }
            line = in.readLine();
        }
View Full Code Here
TOP

Related Classes of org.apache.commons.math.stat.descriptive.DescriptiveStatistics

  • cc.redberry.performance.PairECBenchmark0
  • cc.redberry.performance.ProductBijectionMappingPerformanceHugeTensorTest
  • cc.redberry.performance.ProductBijectionMappingPerformanceTest
  • cc.redberry.performance.ProductBijectionPerformanceHugeTest
  • cc.redberry.performance.ProductBijectionPerformanceTest
  • com.dsi.parallax.ml.vector.util.Benchmarks
  • com.facebook.presto.AbstractTestQueries
  • com.facebook.presto.operator.aggregation.AbstractTestApproximateCountDistinct
  • com.google.caliper.runner.ConsoleResultProcessor
  • eas.plugins.standard.eaPlugin.evolvableTranslators.ChartCreator
    • Copyright © 2018 www.massapicom. All rights reserved.
    All source code are property of their respective owners. Java is a trademark of Sun Microsystems, Inc and owned by ORACLE Inc. Contact coftware#gmail.com.