Exemplo n.º 1
0
        public void GeneralTextAlgorithm_Predict()
        {
            // arrange
            var sample = getSample();
            var CLS1   = sample.CachedClasses.ElementAt(0);
            var CLS2   = sample.CachedClasses.ElementAt(1);
            var prep   = getDefaultPreprocessor();

            var kernel = new TriangularKernel();
            var subAlg = new NaiveBayesianKernelAlgorithm(kernel, 2.0D);
            var alg    = new GeneralTextAlgorithm(subAlg)
            {
                Preprocessor = prep
            };

            // act
            alg.Train(sample);
            var result1 = alg.Predict(testDocs()[0]);
            var result2 = alg.Predict(testDocs()[1]);
            var result3 = alg.Predict(testDocs()[2]);

            // assert
            Assert.AreEqual(CLS1, result1);
            Assert.AreEqual(CLS2, result2);
            Assert.AreEqual(CLS2, result3);
        }
Exemplo n.º 2
0
        public void GeneralTextAlgorithm_PredictTokens()
        {
            // arrange
            var sample = getSample();
            var CLS1   = sample.CachedClasses.ElementAt(0);
            var CLS2   = sample.CachedClasses.ElementAt(1);
            var prep   = getDefaultPreprocessor();

            var kernel = new TriangularKernel();
            var subAlg = new NaiveBayesianKernelAlgorithm(kernel, 0.5D)
            {
                UseKernelMinValue = true, KernelMinValue = EPS_ROUGH
            };
            var alg = new GeneralTextAlgorithm(subAlg)
            {
                Preprocessor = prep
            };

            // act
            alg.Train(sample);
            var result1 = alg.PredictTokens(testDocs()[0], 2);
            var result2 = alg.PredictTokens(testDocs()[1], 2);

            // assert
            Assert.AreEqual(2, result1.Length);
            Assert.AreEqual(CLS1, result1[0].Class);
            Assert.AreEqual(Math.Log(27.0D / 8), result1[0].Score, EPS);
            Assert.AreEqual(CLS2, result1[1].Class);
            Assert.AreEqual(Math.Log(EPS_ROUGH * EPS_ROUGH * EPS_ROUGH * 8.0D / 6), result1[1].Score, EPS);
            Assert.AreEqual(CLS2, result2[0].Class);
            Assert.AreEqual(Math.Log(EPS_ROUGH * EPS_ROUGH * EPS_ROUGH * 4.0 / 3), result2[0].Score, EPS);
            Assert.AreEqual(CLS1, result2[1].Class);
            Assert.AreEqual(Math.Log(EPS_ROUGH * EPS_ROUGH * EPS_ROUGH / 4), result2[1].Score, EPS);
        }
Exemplo n.º 3
0
        public static TextAlgorithmBase Create_GeneralTextAlgorithm()
        {
            var proc = new TextPreprocessor(new EnglishSimpleTokenizer(),
                                            new EnglishStopwords(),
                                            new EnglishSimpleNormalizer(),
                                            new EnglishPorterStemmer());
            var kernel = new TriangularKernel();
            var subAlg = new NaiveBayesianKernelAlgorithm(kernel, 0.5D)
            {
                UseKernelMinValue = true, KernelMinValue = 0.000001D
            };
            var alg = new GeneralTextAlgorithm(subAlg)
            {
                Preprocessor = proc
            };

            return(alg);
        }
Exemplo n.º 4
0
        public void GeneralTextAlgorithm_Train()
        {
            // arrange
            var sample = getSample();
            var CLS1   = sample.CachedClasses.ElementAt(0);
            var CLS2   = sample.CachedClasses.ElementAt(1);
            var prep   = getDefaultPreprocessor();

            var kernel = new TriangularKernel();
            var subAlg = new NaiveBayesianKernelAlgorithm(kernel, 2.0D);
            var alg    = new GeneralTextAlgorithm(subAlg)
            {
                Preprocessor = prep
            };

            // act
            alg.Train(sample);

            // assert
            Assert.AreEqual(subAlg, alg.SubAlgorithm);
            var ts = subAlg.TrainingSample.ToList();

            Assert.AreEqual(1, ts[0].Key[0]);
            Assert.AreEqual(1, ts[0].Key[1]);
            Assert.AreEqual(1, ts[0].Key[2]);
            Assert.AreEqual(0, ts[0].Key[7]);
            Assert.AreEqual(CLS1, ts[0].Value);
            Assert.AreEqual(0, ts[5].Key[3]);
            Assert.AreEqual(2, ts[5].Key[4]);
            Assert.AreEqual(0, ts[5].Key[5]);
            Assert.AreEqual(1, ts[5].Key[6]);
            Assert.AreEqual(CLS2, ts[5].Value);

            Assert.AreEqual(2, subAlg.PriorProbs.Length);
            Assert.AreEqual(Math.Log(4.0D / 6), subAlg.PriorProbs[0], EPS);
            Assert.AreEqual(Math.Log(2.0D / 6), subAlg.PriorProbs[1], EPS);

            Assert.AreEqual(8, subAlg.DataDim);
            Assert.AreEqual(6, subAlg.DataCount);
            Assert.AreEqual(2, subAlg.ClassHist.Length);
            Assert.AreEqual(4, subAlg.ClassHist[0]);
            Assert.AreEqual(2, subAlg.ClassHist[1]);
        }
Exemplo n.º 5
0
        public void GeneralTextAlgorithm_ExtractFeatureVector()
        {
            // arrange
            var sample = getSample();
            var CLS1   = sample.CachedClasses.ElementAt(0);
            var CLS2   = sample.CachedClasses.ElementAt(1);
            var prep   = getDefaultPreprocessor();

            var kernel = new TriangularKernel();
            var subAlg = new NaiveBayesianKernelAlgorithm(kernel, 2.0D);
            var alg    = new GeneralTextAlgorithm(subAlg)
            {
                Preprocessor = prep
            };
            bool isEmpty;

            // act
            alg.Train(sample);
            var result1 = alg.ExtractFeatureVector(testDocs()[0], out isEmpty);
            var result2 = alg.ExtractFeatureVector(testDocs()[1], out isEmpty);

            // assert
            Assert.AreEqual(8, result1.Length);
            Assert.AreEqual(1, result1[0]);
            Assert.AreEqual(0, result1[1]);
            Assert.AreEqual(1, result1[2]);
            Assert.AreEqual(0, result1[3]);
            Assert.AreEqual(0, result1[4]);
            Assert.AreEqual(0, result1[5]);
            Assert.AreEqual(0, result1[6]);
            Assert.AreEqual(0, result1[7]);

            Assert.AreEqual(8, result2.Length);
            Assert.AreEqual(1, result2[0]);
            Assert.AreEqual(2, result2[1]);
            Assert.AreEqual(1, result2[2]);
            Assert.AreEqual(0, result2[3]);
            Assert.AreEqual(2, result2[4]);
            Assert.AreEqual(0, result2[5]);
            Assert.AreEqual(1, result2[6]);
            Assert.AreEqual(1, result2[7]);
        }