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datumbox/datumbox-framework | datumbox-framework-core/src/main/java/com/datumbox/framework/core/machinelearning/common/abstracts/featureselectors/AbstractScoreBasedFeatureSelector.java | AbstractScoreBasedFeatureSelector.keepTopFeatures | protected void keepTopFeatures(Map<Object, Double> featureScores, int maxFeatures) {
logger.debug("keepTopFeatures()");
logger.debug("Estimating the minPermittedScore");
Double minPermittedScore = SelectKth.largest(featureScores.values().iterator(), maxFeatures);
//remove any entry wit... | java | protected void keepTopFeatures(Map<Object, Double> featureScores, int maxFeatures) {
logger.debug("keepTopFeatures()");
logger.debug("Estimating the minPermittedScore");
Double minPermittedScore = SelectKth.largest(featureScores.values().iterator(), maxFeatures);
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datumbox/datumbox-framework | datumbox-framework-core/src/main/java/com/datumbox/framework/core/machinelearning/common/abstracts/featureselectors/AbstractScoreBasedFeatureSelector.java | AbstractScoreBasedFeatureSelector.removeRareFeatures | protected void removeRareFeatures(Map<Object, Double> featureCounts, int rareFeatureThreshold) {
logger.debug("removeRareFeatures()");
Iterator<Map.Entry<Object, Double>> it = featureCounts.entrySet().iterator();
while(it.hasNext()) {
Map.Entry<Object, Double> entry = it.next();
... | java | protected void removeRareFeatures(Map<Object, Double> featureCounts, int rareFeatureThreshold) {
logger.debug("removeRareFeatures()");
Iterator<Map.Entry<Object, Double>> it = featureCounts.entrySet().iterator();
while(it.hasNext()) {
Map.Entry<Object, Double> entry = it.next();
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datumbox/datumbox-framework | datumbox-framework-core/src/main/java/com/datumbox/framework/core/statistics/sampling/StratifiedSampling.java | StratifiedSampling.weightedProbabilitySampling | public static TransposeDataCollection weightedProbabilitySampling(AssociativeArray2D strataFrequencyTable, AssociativeArray nh, boolean withReplacement) {
TransposeDataCollection sampledIds = new TransposeDataCollection();
for(Map.Entry<Object, AssociativeArray> entry : strataFrequencyTable.entryS... | java | public static TransposeDataCollection weightedProbabilitySampling(AssociativeArray2D strataFrequencyTable, AssociativeArray nh, boolean withReplacement) {
TransposeDataCollection sampledIds = new TransposeDataCollection();
for(Map.Entry<Object, AssociativeArray> entry : strataFrequencyTable.entryS... | [
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datumbox/datumbox-framework | datumbox-framework-core/src/main/java/com/datumbox/framework/core/statistics/sampling/StratifiedSampling.java | StratifiedSampling.randomSampling | public static TransposeDataCollection randomSampling(TransposeDataList strataIdList, AssociativeArray nh, boolean withReplacement) {
TransposeDataCollection sampledIds = new TransposeDataCollection();
for(Map.Entry<Object, FlatDataList> entry : strataIdList.entrySet()) {
Object strata =... | java | public static TransposeDataCollection randomSampling(TransposeDataList strataIdList, AssociativeArray nh, boolean withReplacement) {
TransposeDataCollection sampledIds = new TransposeDataCollection();
for(Map.Entry<Object, FlatDataList> entry : strataIdList.entrySet()) {
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datumbox/datumbox-framework | datumbox-framework-core/src/main/java/com/datumbox/framework/core/statistics/sampling/StratifiedSampling.java | StratifiedSampling.variance | public static double variance(TransposeDataCollection sampleDataCollection, AssociativeArray populationNh) {
double variance = 0.0;
int populationN = 0;
double mean = mean(sampleDataCollection, populationNh);
for(Map.Entry<Object, FlatDataCollection> entry : sa... | java | public static double variance(TransposeDataCollection sampleDataCollection, AssociativeArray populationNh) {
double variance = 0.0;
int populationN = 0;
double mean = mean(sampleDataCollection, populationNh);
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datumbox/datumbox-framework | datumbox-framework-core/src/main/java/com/datumbox/framework/core/statistics/sampling/StratifiedSampling.java | StratifiedSampling.std | public static double std(TransposeDataCollection sampleDataCollection, AssociativeArray populationNh) {
return Math.sqrt(variance(sampleDataCollection, populationNh));
} | java | public static double std(TransposeDataCollection sampleDataCollection, AssociativeArray populationNh) {
return Math.sqrt(variance(sampleDataCollection, populationNh));
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datumbox/datumbox-framework | datumbox-framework-core/src/main/java/com/datumbox/framework/core/statistics/sampling/StratifiedSampling.java | StratifiedSampling.optimumSampleSize | public static AssociativeArray optimumSampleSize(int n, AssociativeArray populationNh, AssociativeArray populationStdh) {
AssociativeArray nh = new AssociativeArray();
double sumNhSh = 0.0;
for(Map.Entry<Object, Object> entry : populationNh.entrySet()) {
Object strata = entr... | java | public static AssociativeArray optimumSampleSize(int n, AssociativeArray populationNh, AssociativeArray populationStdh) {
AssociativeArray nh = new AssociativeArray();
double sumNhSh = 0.0;
for(Map.Entry<Object, Object> entry : populationNh.entrySet()) {
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datumbox/datumbox-framework | datumbox-framework-common/src/main/java/com/datumbox/framework/common/concurrency/ThreadMethods.java | ThreadMethods.throttledExecution | public static <T> void throttledExecution(Stream<T> stream, Consumer<T> consumer, ConcurrencyConfiguration concurrencyConfiguration) {
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int maxThreads = concurrencyConfiguration.getMaxNumberOfThreadsPerTask();
int maxTasks = 2*maxThreads;
... | java | public static <T> void throttledExecution(Stream<T> stream, Consumer<T> consumer, ConcurrencyConfiguration concurrencyConfiguration) {
if(concurrencyConfiguration.isParallelized()) {
int maxThreads = concurrencyConfiguration.getMaxNumberOfThreadsPerTask();
int maxTasks = 2*maxThreads;
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datumbox/datumbox-framework | datumbox-framework-core/src/main/java/com/datumbox/framework/core/statistics/distributions/ContinuousDistributions.java | ContinuousDistributions.betinc | protected static double betinc(double x, double A, double B) {
double A0=0.0;
double B0=1.0;
double A1=1.0;
double B1=1.0;
double M9=0.0;
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double C9=-(A+M9)*(A+B+M9)*x/(A+2.0*M9)/(... | java | protected static double betinc(double x, double A, double B) {
double A0=0.0;
double B0=1.0;
double A1=1.0;
double B1=1.0;
double M9=0.0;
double A2=0.0;
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datumbox/datumbox-framework | datumbox-framework-core/src/main/java/com/datumbox/framework/core/statistics/distributions/ContinuousDistributions.java | ContinuousDistributions.exponentialCdf | public static double exponentialCdf(double x, double lamda) {
if(x<0 || lamda<=0) {
throw new IllegalArgumentException("All the parameters must be positive.");
}
double probability = 1.0 - Math.exp(-lamda*x);
return probability;
} | java | public static double exponentialCdf(double x, double lamda) {
if(x<0 || lamda<=0) {
throw new IllegalArgumentException("All the parameters must be positive.");
}
double probability = 1.0 - Math.exp(-lamda*x);
return probability;
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datumbox/datumbox-framework | datumbox-framework-core/src/main/java/com/datumbox/framework/core/statistics/distributions/ContinuousDistributions.java | ContinuousDistributions.betaCdf | public static double betaCdf(double x, double a, double b) {
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double Bcdf = 0.0;
if(x==0) {
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... | java | public static double betaCdf(double x, double a, double b) {
if(x<0 || a<=0 || b<=0) {
throw new IllegalArgumentException("All the parameters must be positive.");
}
double Bcdf = 0.0;
if(x==0) {
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datumbox/datumbox-framework | datumbox-framework-core/src/main/java/com/datumbox/framework/core/statistics/distributions/ContinuousDistributions.java | ContinuousDistributions.fCdf | public static double fCdf(double x, int f1, int f2) {
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}
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double FCdf = betaCdf(Z,f1/2.0,f2/2.0);
return FCdf;
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if(x<0 || f1<=0 || f2<=0) {
throw new IllegalArgumentException("All the parameters must be positive.");
}
double Z = x/(x + (double)f2/f1);
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datumbox/datumbox-framework | datumbox-framework-core/src/main/java/com/datumbox/framework/core/statistics/distributions/ContinuousDistributions.java | ContinuousDistributions.gammaCdf | public static double gammaCdf(double x, double a, double b) {
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}
double GammaCdf = ContinuousDistributions.gammaCdf(x/b, a);
return GammaCdf;
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if(a<=0 || b<=0) {
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double GammaCdf = ContinuousDistributions.gammaCdf(x/b, a);
return GammaCdf;
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datumbox/datumbox-framework | datumbox-framework-core/src/main/java/com/datumbox/framework/core/statistics/distributions/ContinuousDistributions.java | ContinuousDistributions.uniformCdf | public static double uniformCdf(double x, double a, double b) {
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probability... | java | public static double uniformCdf(double x, double a, double b) {
if(a>=b) {
throw new IllegalArgumentException("The a must be smaller than b.");
}
double probabilitySum;
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datumbox/datumbox-framework | datumbox-framework-core/src/main/java/com/datumbox/framework/core/statistics/distributions/ContinuousDistributions.java | ContinuousDistributions.kolmogorov | public static double kolmogorov(double z) {
//Kolmogorov distribution. Error<.0000001
if (z<0.27) {
return 0.0;
}
else if (z>3.2) {
return 1.1;
}
double ks=0;
double y=-2*z*z;
for(int i=27;i>=1;i=i-2) {
ks=Math.exp(i*... | java | public static double kolmogorov(double z) {
//Kolmogorov distribution. Error<.0000001
if (z<0.27) {
return 0.0;
}
else if (z>3.2) {
return 1.1;
}
double ks=0;
double y=-2*z*z;
for(int i=27;i>=1;i=i-2) {
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datumbox/datumbox-framework | datumbox-framework-core/src/main/java/com/datumbox/framework/core/statistics/distributions/ContinuousDistributions.java | ContinuousDistributions.dirichletPdf | public static double dirichletPdf(double[] pi, double[] ai) {
double probability=1.0;
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double productGammaAi=1.0;
double tmp;
int piLength=pi.length;
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sumAi+= tmp;
produc... | java | public static double dirichletPdf(double[] pi, double[] ai) {
double probability=1.0;
double sumAi=0.0;
double productGammaAi=1.0;
double tmp;
int piLength=pi.length;
for(int i=0;i<piLength;++i) {
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sumAi+= tmp;
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datumbox/datumbox-framework | datumbox-framework-core/src/main/java/com/datumbox/framework/core/statistics/distributions/ContinuousDistributions.java | ContinuousDistributions.dirichletPdf | public static double dirichletPdf(double[] pi, double a) {
double probability=1.0;
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probability*=Math.pow(pi[i], a-1);
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double probability=1.0;
int piLength=pi.length;
for(int i=0;i<piLength;++i) {
probability*=Math.pow(pi[i], a-1);
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datumbox/datumbox-framework | datumbox-framework-core/src/main/java/com/datumbox/framework/core/statistics/distributions/ContinuousDistributions.java | ContinuousDistributions.multinomialGaussianSample | public static double[] multinomialGaussianSample(double[] mean, double[][] covariance) {
MultivariateNormalDistribution gaussian = new
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gaussian.reseedRandomGenerator(RandomGenerator.getThreadLocalRandom().nextLong());
return gaussian... | java | public static double[] multinomialGaussianSample(double[] mean, double[][] covariance) {
MultivariateNormalDistribution gaussian = new
MultivariateNormalDistribution(mean, covariance);
gaussian.reseedRandomGenerator(RandomGenerator.getThreadLocalRandom().nextLong());
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datumbox/datumbox-framework | datumbox-framework-core/src/main/java/com/datumbox/framework/core/statistics/distributions/ContinuousDistributions.java | ContinuousDistributions.multinomialGaussianPdf | public static double multinomialGaussianPdf(double[] mean, double[][] covariance, double[] x) {
MultivariateNormalDistribution gaussian = new
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return gaussian.density(x);
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MultivariateNormalDistribution gaussian = new
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return gaussian.density(x);
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datumbox/datumbox-framework | datumbox-framework-core/src/main/java/com/datumbox/framework/core/common/utilities/MapMethods.java | MapMethods.selectMaxKeyValue | public static Map.Entry<Object, Double> selectMaxKeyValue(Map<Object, Double> keyValueMap) {
Double maxValue=Double.NEGATIVE_INFINITY;
Object maxValueKey = null;
for(Map.Entry<Object, Double> entry : keyValueMap.entrySet()) {
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if(v... | java | public static Map.Entry<Object, Double> selectMaxKeyValue(Map<Object, Double> keyValueMap) {
Double maxValue=Double.NEGATIVE_INFINITY;
Object maxValueKey = null;
for(Map.Entry<Object, Double> entry : keyValueMap.entrySet()) {
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datumbox/datumbox-framework | datumbox-framework-core/src/main/java/com/datumbox/framework/core/common/utilities/MapMethods.java | MapMethods.selectMinKeyValue | public static Map.Entry<Object, Object> selectMinKeyValue(AssociativeArray keyValueMap) {
Double minValue=Double.POSITIVE_INFINITY;
Object minValueKey = null;
for(Map.Entry<Object, Object> entry : keyValueMap.entrySet()) {
Double value = TypeInference.toDouble(entry.getValue... | java | public static Map.Entry<Object, Object> selectMinKeyValue(AssociativeArray keyValueMap) {
Double minValue=Double.POSITIVE_INFINITY;
Object minValueKey = null;
for(Map.Entry<Object, Object> entry : keyValueMap.entrySet()) {
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datumbox/datumbox-framework | datumbox-framework-core/src/main/java/com/datumbox/framework/core/common/utilities/MapMethods.java | MapMethods.sortNumberMapByKeyAscending | public static <K, V> Map<K, V> sortNumberMapByKeyAscending(Map<K, V> map) {
return sortNumberMapByKeyAscending(map.entrySet());
} | java | public static <K, V> Map<K, V> sortNumberMapByKeyAscending(Map<K, V> map) {
return sortNumberMapByKeyAscending(map.entrySet());
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datumbox/datumbox-framework | datumbox-framework-core/src/main/java/com/datumbox/framework/core/common/utilities/MapMethods.java | MapMethods.sortNumberMapByKeyDescending | public static <K, V> Map<K, V> sortNumberMapByKeyDescending(Map<K, V> map) {
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} | java | public static <K, V> Map<K, V> sortNumberMapByKeyDescending(Map<K, V> map) {
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datumbox/datumbox-framework | datumbox-framework-core/src/main/java/com/datumbox/framework/core/common/utilities/MapMethods.java | MapMethods.sortNumberMapByValueDescending | public static <K, V> Map<K, V> sortNumberMapByValueDescending(Map<K, V> map) {
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Double vb =... | java | public static <K, V> Map<K, V> sortNumberMapByValueDescending(Map<K, V> map) {
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datumbox/datumbox-framework | datumbox-framework-core/src/main/java/com/datumbox/framework/core/common/utilities/MapMethods.java | MapMethods.sortAssociativeArrayByValueAscending | public static AssociativeArray sortAssociativeArrayByValueAscending(AssociativeArray associativeArray) {
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ArrayList<Map.Entry<Object, Object>> entries = new ArrayList<>(associativeArray.entrySet());
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datumbox/datumbox-framework | datumbox-framework-core/src/main/java/com/datumbox/framework/core/common/text/parsers/HTMLParser.java | HTMLParser.unescapeHtml | private static String unescapeHtml(final String input) {
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int st = 0;
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// look for '&'
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... | java | private static String unescapeHtml(final String input) {
StringBuilder writer = null;
int len = input.length();
int i = 1;
int st = 0;
while (true) {
// look for '&'
while (i < len && input.charAt(i-1) != '&') {
i++;
}
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datumbox/datumbox-framework | datumbox-framework-core/src/main/java/com/datumbox/framework/core/common/text/parsers/HTMLParser.java | HTMLParser.replaceImgWithAlt | public static String replaceImgWithAlt(String html) {
Matcher m = IMG_ALT_TITLE_PATTERN.matcher(html);
if (m.find()) {
return m.replaceAll(" $1 ");
}
return html;
} | java | public static String replaceImgWithAlt(String html) {
Matcher m = IMG_ALT_TITLE_PATTERN.matcher(html);
if (m.find()) {
return m.replaceAll(" $1 ");
}
return html;
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datumbox/datumbox-framework | datumbox-framework-core/src/main/java/com/datumbox/framework/core/common/text/parsers/HTMLParser.java | HTMLParser.safeRemoveAllTags | public static String safeRemoveAllTags(String html) {
html = removeNonTextTags(html);
html = unsafeRemoveAllTags(html);
return html;
} | java | public static String safeRemoveAllTags(String html) {
html = removeNonTextTags(html);
html = unsafeRemoveAllTags(html);
return html;
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datumbox/datumbox-framework | datumbox-framework-core/src/main/java/com/datumbox/framework/core/common/text/parsers/HTMLParser.java | HTMLParser.extractText | public static String extractText(String html) {
//return Jsoup.parse(text).text();
html = replaceImgWithAlt(html);
html = safeRemoveAllTags(html);
html = unescapeHtml(html);
return html;
} | java | public static String extractText(String html) {
//return Jsoup.parse(text).text();
html = replaceImgWithAlt(html);
html = safeRemoveAllTags(html);
html = unescapeHtml(html);
return html;
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datumbox/datumbox-framework | datumbox-framework-core/src/main/java/com/datumbox/framework/core/common/text/parsers/HTMLParser.java | HTMLParser.extractTitle | public static String extractTitle(String html) {
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}
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} | java | public static String extractTitle(String html) {
Matcher m = TITLE_PATTERN.matcher(html);
if (m.find()) {
return clear(m.group(0));
}
return null;
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datumbox/datumbox-framework | datumbox-framework-core/src/main/java/com/datumbox/framework/core/common/text/parsers/HTMLParser.java | HTMLParser.extractHyperlinks | public static Map<HyperlinkPart, List<String>> extractHyperlinks(String html) {
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hyperlinksMap.put(HyperlinkPart.HTMLTAG, new ArrayList<>());
hyperlinksMap.put(HyperlinkPart.URL, new ArrayList<>());
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Map<HyperlinkPart, List<String>> hyperlinksMap = new HashMap<>();
hyperlinksMap.put(HyperlinkPart.HTMLTAG, new ArrayList<>());
hyperlinksMap.put(HyperlinkPart.URL, new ArrayList<>());
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datumbox/datumbox-framework | datumbox-framework-core/src/main/java/com/datumbox/framework/core/common/text/parsers/HTMLParser.java | HTMLParser.extractMetatags | public static Map<String, String> extractMetatags(String html) {
Map<String, String> metatagsMap = new HashMap<>();
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while (m.find()) {
if(m.groupCount()==2) {
String name = m.group(1);
String ... | java | public static Map<String, String> extractMetatags(String html) {
Map<String, String> metatagsMap = new HashMap<>();
Matcher m = METATAG_PATTERN.matcher(html);
while (m.find()) {
if(m.groupCount()==2) {
String name = m.group(1);
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datumbox/datumbox-framework | datumbox-framework-core/src/main/java/com/datumbox/framework/core/statistics/nonparametrics/onesample/KolmogorovSmirnovOneSample.java | KolmogorovSmirnovOneSample.normalDistribution | public static double normalDistribution(Double x, AssociativeArray params) {
double mean= params.getDouble("mean");
double variance= params.getDouble("variance");
//standardize the x value
double z=(x-mean)/Math.sqrt(variance);
return ContinuousDistributions.gaussCdf(z);
} | java | public static double normalDistribution(Double x, AssociativeArray params) {
double mean= params.getDouble("mean");
double variance= params.getDouble("variance");
//standardize the x value
double z=(x-mean)/Math.sqrt(variance);
return ContinuousDistributions.gaussCdf(z);
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datumbox/datumbox-framework | datumbox-framework-core/src/main/java/com/datumbox/framework/core/statistics/distributions/DiscreteDistributions.java | DiscreteDistributions.bernoulliCdf | public static double bernoulliCdf(int k, double p) {
if(p<0) {
throw new IllegalArgumentException("The probability p can't be negative.");
}
double probabilitySum=0.0;
if(k<0) {
}
else if(k<1) { //aka k==0
probabilitySum=(1-p)... | java | public static double bernoulliCdf(int k, double p) {
if(p<0) {
throw new IllegalArgumentException("The probability p can't be negative.");
}
double probabilitySum=0.0;
if(k<0) {
}
else if(k<1) { //aka k==0
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datumbox/datumbox-framework | datumbox-framework-core/src/main/java/com/datumbox/framework/core/statistics/distributions/DiscreteDistributions.java | DiscreteDistributions.binomial | public static double binomial(int k, double p, int n) {
if(k<0 || p<0 || n<1) {
throw new IllegalArgumentException("All the parameters must be positive and n larger than 1.");
}
k = Math.min(k, n);
/*
//Slow and can't handle large numbers
$... | java | public static double binomial(int k, double p, int n) {
if(k<0 || p<0 || n<1) {
throw new IllegalArgumentException("All the parameters must be positive and n larger than 1.");
}
k = Math.min(k, n);
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datumbox/datumbox-framework | datumbox-framework-core/src/main/java/com/datumbox/framework/core/statistics/distributions/DiscreteDistributions.java | DiscreteDistributions.binomialCdf | public static double binomialCdf(int k, double p, int n) {
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throw new IllegalArgumentException("All the parameters must be positive and n larger than 1.");
}
k = Math.min(k, n);
double probabilitySum = approxBinomialCdf(k,p,n);
... | java | public static double binomialCdf(int k, double p, int n) {
if(k<0 || p<0 || n<1) {
throw new IllegalArgumentException("All the parameters must be positive and n larger than 1.");
}
k = Math.min(k, n);
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datumbox/datumbox-framework | datumbox-framework-core/src/main/java/com/datumbox/framework/core/statistics/distributions/DiscreteDistributions.java | DiscreteDistributions.approxBinomialCdf | private static double approxBinomialCdf(int k, double p, int n) {
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double Z = p;
double A=k+1;
double B=n-k;
double S=A+B;
double BT=Math.exp(ContinuousDistributions.logGamma(S... | java | private static double approxBinomialCdf(int k, double p, int n) {
//use an approximation as described at http://www.math.ucla.edu/~tom/distributions/binomial.html
double Z = p;
double A=k+1;
double B=n-k;
double S=A+B;
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datumbox/datumbox-framework | datumbox-framework-core/src/main/java/com/datumbox/framework/core/statistics/distributions/DiscreteDistributions.java | DiscreteDistributions.geometric | public static double geometric(int k, double p) {
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throw new IllegalArgumentException("All the parameters must be positive.");
}
double probability = Math.pow(1-p,k-1)*p;
return probability;
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throw new IllegalArgumentException("All the parameters must be positive.");
}
double probability = Math.pow(1-p,k-1)*p;
return probability;
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datumbox/datumbox-framework | datumbox-framework-core/src/main/java/com/datumbox/framework/core/statistics/distributions/DiscreteDistributions.java | DiscreteDistributions.geometricCdf | public static double geometricCdf(int k, double p) {
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... | java | public static double geometricCdf(int k, double p) {
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throw new IllegalArgumentException("All the parameters must be positive.");
}
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datumbox/datumbox-framework | datumbox-framework-core/src/main/java/com/datumbox/framework/core/statistics/distributions/DiscreteDistributions.java | DiscreteDistributions.negativeBinomial | public static double negativeBinomial(int n, int r, double p) {
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throw new IllegalArgumentException("All the parameters must be positive.");
}
n = Math.max(n,r);//obvisouly the tota... | java | public static double negativeBinomial(int n, int r, double p) {
//tested its validity with http://www.mathcelebrity.com/binomialneg.php
if(n<0 || r<0 || p<0) {
throw new IllegalArgumentException("All the parameters must be positive.");
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datumbox/datumbox-framework | datumbox-framework-core/src/main/java/com/datumbox/framework/core/statistics/distributions/DiscreteDistributions.java | DiscreteDistributions.negativeBinomialCdf | public static double negativeBinomialCdf(int n, int r, double p) {
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throw new IllegalArgumentException("All the parameters must be positive.");
}
n = Math.max(n,r);
double probabilitySum = 0.0;
for(int i=0;i<=r;++i) {
probab... | java | public static double negativeBinomialCdf(int n, int r, double p) {
if(n<0 || r<0 || p<0) {
throw new IllegalArgumentException("All the parameters must be positive.");
}
n = Math.max(n,r);
double probabilitySum = 0.0;
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datumbox/datumbox-framework | datumbox-framework-core/src/main/java/com/datumbox/framework/core/statistics/distributions/DiscreteDistributions.java | DiscreteDistributions.uniformCdf | public static double uniformCdf(int k, int n) {
if(k<0 || n<1) {
throw new IllegalArgumentException("All the parameters must be positive and n larger than 1.");
}
k = Math.min(k, n);
double probabilitySum = k*uniform(n);
return probabilitySum;
} | java | public static double uniformCdf(int k, int n) {
if(k<0 || n<1) {
throw new IllegalArgumentException("All the parameters must be positive and n larger than 1.");
}
k = Math.min(k, n);
double probabilitySum = k*uniform(n);
return probabilitySum;
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datumbox/datumbox-framework | datumbox-framework-core/src/main/java/com/datumbox/framework/core/statistics/distributions/DiscreteDistributions.java | DiscreteDistributions.hypergeometric | public static double hypergeometric(int k, int n, int Kp, int Np) {
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datumbox/datumbox-framework | datumbox-framework-core/src/main/java/com/datumbox/framework/core/statistics/distributions/DiscreteDistributions.java | DiscreteDistributions.hypergeometricCdf | public static double hypergeometricCdf(int k, int n, int Kp, int Np) {
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throw new IllegalArgumentException("All the parameters must be positive.");
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Np = Math.max(n, Np);
/*
//slow!
$proba... | java | public static double hypergeometricCdf(int k, int n, int Kp, int Np) {
if(k<0 || n<0 || Kp<0 || Np<0) {
throw new IllegalArgumentException("All the parameters must be positive.");
}
Kp = Math.max(k, Kp);
Np = Math.max(n, Np);
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datumbox/datumbox-framework | datumbox-framework-core/src/main/java/com/datumbox/framework/core/statistics/distributions/DiscreteDistributions.java | DiscreteDistributions.poisson | public static double poisson(int k, double lamda) {
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$probability=pow($lamda,$k)*exp(-$lamda)/StatsUtilities::factorial($k);
*/
//fast... | java | public static double poisson(int k, double lamda) {
if(k<0 || lamda<0) {
throw new IllegalArgumentException("All the parameters must be positive.");
}
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datumbox/datumbox-framework | datumbox-framework-core/src/main/java/com/datumbox/framework/core/statistics/distributions/DiscreteDistributions.java | DiscreteDistributions.poissonCdf | public static double poissonCdf(int k, double lamda) {
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if(k<0 || lamda<0) {
throw new IllegalArgumentException("All the parameters must be positive.");
}
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datumbox/datumbox-framework | datumbox-framework-core/src/main/java/com/datumbox/framework/core/statistics/descriptivestatistics/Descriptives.java | Descriptives.count | public static int count(Iterable it) {
int n = 0;
for(Object v: it) {
if(v != null) {
++n;
}
}
return n;
} | java | public static int count(Iterable it) {
int n = 0;
for(Object v: it) {
if(v != null) {
++n;
}
}
return n;
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datumbox/datumbox-framework | datumbox-framework-core/src/main/java/com/datumbox/framework/core/statistics/descriptivestatistics/Descriptives.java | Descriptives.sum | public static double sum(FlatDataCollection flatDataCollection) {
double sum = 0.0;
Iterator<Double> it = flatDataCollection.iteratorDouble();
while(it.hasNext()) {
Double value = it.next();
if(value != null) {
sum+= value;
}
}... | java | public static double sum(FlatDataCollection flatDataCollection) {
double sum = 0.0;
Iterator<Double> it = flatDataCollection.iteratorDouble();
while(it.hasNext()) {
Double value = it.next();
if(value != null) {
sum+= value;
}
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datumbox/datumbox-framework | datumbox-framework-core/src/main/java/com/datumbox/framework/core/statistics/descriptivestatistics/Descriptives.java | Descriptives.mean | public static double mean(FlatDataCollection flatDataCollection) {
int n = 0;
double mean = 0.0;
Iterator<Double> it = flatDataCollection.iteratorDouble();
while(it.hasNext()) {
Double value = it.next();
if(value != null) {
++n;
mea... | java | public static double mean(FlatDataCollection flatDataCollection) {
int n = 0;
double mean = 0.0;
Iterator<Double> it = flatDataCollection.iteratorDouble();
while(it.hasNext()) {
Double value = it.next();
if(value != null) {
++n;
mea... | [
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datumbox/datumbox-framework | datumbox-framework-core/src/main/java/com/datumbox/framework/core/statistics/descriptivestatistics/Descriptives.java | Descriptives.meanSE | public static double meanSE(FlatDataCollection flatDataCollection) {
double std = std(flatDataCollection, true);
double meanSE = std/Math.sqrt(count(flatDataCollection));
return meanSE;
} | java | public static double meanSE(FlatDataCollection flatDataCollection) {
double std = std(flatDataCollection, true);
double meanSE = std/Math.sqrt(count(flatDataCollection));
return meanSE;
} | [
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datumbox/datumbox-framework | datumbox-framework-core/src/main/java/com/datumbox/framework/core/statistics/descriptivestatistics/Descriptives.java | Descriptives.median | public static double median(FlatDataCollection flatDataCollection) {
double[] doubleArray = flatDataCollection.stream().filter(x -> x!=null).mapToDouble(TypeInference::toDouble).toArray();
int n = doubleArray.length;
if(n==0) {
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double[] doubleArray = flatDataCollection.stream().filter(x -> x!=null).mapToDouble(TypeInference::toDouble).toArray();
int n = doubleArray.length;
if(n==0) {
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datumbox/datumbox-framework | datumbox-framework-core/src/main/java/com/datumbox/framework/core/statistics/descriptivestatistics/Descriptives.java | Descriptives.min | public static double min(FlatDataCollection flatDataCollection) {
double min=Double.POSITIVE_INFINITY;
Iterator<Double> it = flatDataCollection.iteratorDouble();
while(it.hasNext()) {
Double v = it.next();
if(v != null && min > v) {
min=v;
... | java | public static double min(FlatDataCollection flatDataCollection) {
double min=Double.POSITIVE_INFINITY;
Iterator<Double> it = flatDataCollection.iteratorDouble();
while(it.hasNext()) {
Double v = it.next();
if(v != null && min > v) {
min=v;
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datumbox/datumbox-framework | datumbox-framework-core/src/main/java/com/datumbox/framework/core/statistics/descriptivestatistics/Descriptives.java | Descriptives.max | public static double max(FlatDataCollection flatDataCollection) {
double max=Double.NEGATIVE_INFINITY;
Iterator<Double> it = flatDataCollection.iteratorDouble();
while(it.hasNext()) {
Double v = it.next();
if(v != null && max < v) {
max=v;
... | java | public static double max(FlatDataCollection flatDataCollection) {
double max=Double.NEGATIVE_INFINITY;
Iterator<Double> it = flatDataCollection.iteratorDouble();
while(it.hasNext()) {
Double v = it.next();
if(v != null && max < v) {
max=v;
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datumbox/datumbox-framework | datumbox-framework-core/src/main/java/com/datumbox/framework/core/statistics/descriptivestatistics/Descriptives.java | Descriptives.minAbsolute | public static double minAbsolute(FlatDataCollection flatDataCollection) {
double minAbs=Double.POSITIVE_INFINITY;
Iterator<Double> it = flatDataCollection.iteratorDouble();
while(it.hasNext()) {
Double v = it.next();
if(v != null) {
minAbs= Math.min(minAb... | java | public static double minAbsolute(FlatDataCollection flatDataCollection) {
double minAbs=Double.POSITIVE_INFINITY;
Iterator<Double> it = flatDataCollection.iteratorDouble();
while(it.hasNext()) {
Double v = it.next();
if(v != null) {
minAbs= Math.min(minAb... | [
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datumbox/datumbox-framework | datumbox-framework-core/src/main/java/com/datumbox/framework/core/statistics/descriptivestatistics/Descriptives.java | Descriptives.maxAbsolute | public static double maxAbsolute(FlatDataCollection flatDataCollection) {
double maxAbs=0.0;
Iterator<Double> it = flatDataCollection.iteratorDouble();
while(it.hasNext()) {
Double v = it.next();
if(v != null) {
maxAbs= Math.max(maxAbs, Math.abs(v));
... | java | public static double maxAbsolute(FlatDataCollection flatDataCollection) {
double maxAbs=0.0;
Iterator<Double> it = flatDataCollection.iteratorDouble();
while(it.hasNext()) {
Double v = it.next();
if(v != null) {
maxAbs= Math.max(maxAbs, Math.abs(v));
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datumbox/datumbox-framework | datumbox-framework-core/src/main/java/com/datumbox/framework/core/statistics/descriptivestatistics/Descriptives.java | Descriptives.geometricMean | public static double geometricMean(FlatDataCollection flatDataCollection) {
int n = 0;
double geometricMean = 0.0;
Iterator<Double> it = flatDataCollection.iteratorDouble();
while(it.hasNext()) {
Double v = it.next();
if(v != null) {
if(v <= 0.0) {
... | java | public static double geometricMean(FlatDataCollection flatDataCollection) {
int n = 0;
double geometricMean = 0.0;
Iterator<Double> it = flatDataCollection.iteratorDouble();
while(it.hasNext()) {
Double v = it.next();
if(v != null) {
if(v <= 0.0) {
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datumbox/datumbox-framework | datumbox-framework-core/src/main/java/com/datumbox/framework/core/statistics/descriptivestatistics/Descriptives.java | Descriptives.harmonicMean | public static double harmonicMean(FlatDataCollection flatDataCollection) {
int n = 0;
double harmonicMean = 0.0;
Iterator<Double> it = flatDataCollection.iteratorDouble();
while(it.hasNext()) {
Double v = it.next();
if(v!=null) {
++n;
... | java | public static double harmonicMean(FlatDataCollection flatDataCollection) {
int n = 0;
double harmonicMean = 0.0;
Iterator<Double> it = flatDataCollection.iteratorDouble();
while(it.hasNext()) {
Double v = it.next();
if(v!=null) {
++n;
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datumbox/datumbox-framework | datumbox-framework-core/src/main/java/com/datumbox/framework/core/statistics/descriptivestatistics/Descriptives.java | Descriptives.variance | public static double variance(FlatDataCollection flatDataCollection, boolean isSample) {
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int n = 0;
double mean = 0.0;
double squaredMean = 0.0;
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while(it.hasNext())... | java | public static double variance(FlatDataCollection flatDataCollection, boolean isSample) {
/* Uses the formal Variance = E(X^2) - mean^2 */
int n = 0;
double mean = 0.0;
double squaredMean = 0.0;
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datumbox/datumbox-framework | datumbox-framework-core/src/main/java/com/datumbox/framework/core/statistics/descriptivestatistics/Descriptives.java | Descriptives.std | public static double std(FlatDataCollection flatDataCollection, boolean isSample) {
double variance = variance(flatDataCollection, isSample);
double std = Math.sqrt(variance);
return std;
} | java | public static double std(FlatDataCollection flatDataCollection, boolean isSample) {
double variance = variance(flatDataCollection, isSample);
double std = Math.sqrt(variance);
return std;
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datumbox/datumbox-framework | datumbox-framework-core/src/main/java/com/datumbox/framework/core/statistics/descriptivestatistics/Descriptives.java | Descriptives.cv | public static double cv(double std, double mean) {
if(mean==0) {
return Double.POSITIVE_INFINITY;
}
double cv = std/mean;
return cv;
} | java | public static double cv(double std, double mean) {
if(mean==0) {
return Double.POSITIVE_INFINITY;
}
double cv = std/mean;
return cv;
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datumbox/datumbox-framework | datumbox-framework-core/src/main/java/com/datumbox/framework/core/statistics/descriptivestatistics/Descriptives.java | Descriptives.moment | public static double moment(FlatDataCollection flatDataCollection, int r) {
double mean = mean(flatDataCollection);
return moment(flatDataCollection, r, mean);
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double mean = mean(flatDataCollection);
return moment(flatDataCollection, r, mean);
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datumbox/datumbox-framework | datumbox-framework-core/src/main/java/com/datumbox/framework/core/statistics/descriptivestatistics/Descriptives.java | Descriptives.moment | public static double moment(FlatDataCollection flatDataCollection, int r, double mean) {
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double moment=0.0;
Iterator<Double> it = flatDataCollection.iteratorDouble();
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datumbox/datumbox-framework | datumbox-framework-core/src/main/java/com/datumbox/framework/core/statistics/descriptivestatistics/Descriptives.java | Descriptives.percentiles | public static AssociativeArray percentiles(FlatDataCollection flatDataCollection, int cutPoints) {
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int n = doubleArray.length;
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double[] doubleArray = flatDataCollection.stream().filter(x -> x!=null).mapToDouble(TypeInference::toDouble).toArray();
int n = doubleArray.length;
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datumbox/datumbox-framework | datumbox-framework-core/src/main/java/com/datumbox/framework/core/statistics/descriptivestatistics/Descriptives.java | Descriptives.autocorrelation | public static double autocorrelation(FlatDataList flatDataList, int lags) {
int n = count(flatDataList);
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throw new IllegalArgumentException("All the parameters must be positive and n larger than lags.");
}
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datumbox/datumbox-framework | datumbox-framework-core/src/main/java/com/datumbox/framework/core/statistics/descriptivestatistics/Descriptives.java | Descriptives.frequencies | public static AssociativeArray frequencies(FlatDataCollection flatDataCollection) {
AssociativeArray frequencies = new AssociativeArray();
for (Object value : flatDataCollection) {
Object counter = frequencies.get(value);
if(counter==null) {
frequencies.p... | java | public static AssociativeArray frequencies(FlatDataCollection flatDataCollection) {
AssociativeArray frequencies = new AssociativeArray();
for (Object value : flatDataCollection) {
Object counter = frequencies.get(value);
if(counter==null) {
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datumbox/datumbox-framework | datumbox-framework-core/src/main/java/com/datumbox/framework/core/statistics/descriptivestatistics/Descriptives.java | Descriptives.normalize | public static void normalize(AssociativeArray associativeArray) {
double sum = 0.0;
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Double value = TypeInfe... | java | public static void normalize(AssociativeArray associativeArray) {
double sum = 0.0;
//Prevents numeric underflow by subtracting the max. References: http://www.youtube.com/watch?v=-RVM21Voo7Q
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datumbox/datumbox-framework | datumbox-framework-core/src/main/java/com/datumbox/framework/core/statistics/descriptivestatistics/Descriptives.java | Descriptives.normalizeExp | public static void normalizeExp(AssociativeArray associativeArray) {
double max = max(associativeArray.toFlatDataCollection());
double sum = 0.0;
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datumbox/datumbox-framework | datumbox-framework-core/src/main/java/com/datumbox/framework/core/common/text/extractors/UniqueWordSequenceExtractor.java | UniqueWordSequenceExtractor.extract | @Override
public Map<Integer, String> extract(final String text) {
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Map<Integer, String> keywordSequence = new LinkedHashMap<>();
int position = 0;
for(String keyword : tmpKwd) {
... | java | @Override
public Map<Integer, String> extract(final String text) {
Set<String> tmpKwd = new LinkedHashSet<>(generateTokenizer().tokenize(text));
Map<Integer, String> keywordSequence = new LinkedHashMap<>();
int position = 0;
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datumbox/datumbox-framework | datumbox-framework-core/src/main/java/com/datumbox/framework/core/common/dataobjects/DataframeMatrix.java | DataframeMatrix.setStorageEngine | private static void setStorageEngine(Dataframe dataset) {
//create a single storage engine for all the MapRealMatrixes
if (storageEngine == null) {
synchronized(DataframeMatrix.class) {
if (storageEngine == null) {
String storageName = "mdf" + RandomGenera... | java | private static void setStorageEngine(Dataframe dataset) {
//create a single storage engine for all the MapRealMatrixes
if (storageEngine == null) {
synchronized(DataframeMatrix.class) {
if (storageEngine == null) {
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datumbox/datumbox-framework | datumbox-framework-core/src/main/java/com/datumbox/framework/core/common/dataobjects/DataframeMatrix.java | DataframeMatrix.newInstance | public static DataframeMatrix newInstance(Dataframe dataset, boolean addConstantColumn, Map<Integer, Integer> recordIdsReference, Map<Object, Integer> featureIdsReference) {
if(!featureIdsReference.isEmpty()) {
throw new IllegalArgumentException("The featureIdsReference map should be empty.");
... | java | public static DataframeMatrix newInstance(Dataframe dataset, boolean addConstantColumn, Map<Integer, Integer> recordIdsReference, Map<Object, Integer> featureIdsReference) {
if(!featureIdsReference.isEmpty()) {
throw new IllegalArgumentException("The featureIdsReference map should be empty.");
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datumbox/datumbox-framework | datumbox-framework-core/src/main/java/com/datumbox/framework/core/common/dataobjects/DataframeMatrix.java | DataframeMatrix.parseRecord | public static RealVector parseRecord(Record r, Map<Object, Integer> featureIdsReference) {
if(featureIdsReference.isEmpty()) {
throw new IllegalArgumentException("The featureIdsReference map should not be empty.");
}
int d = featureIdsReference.size();
//create an M... | java | public static RealVector parseRecord(Record r, Map<Object, Integer> featureIdsReference) {
if(featureIdsReference.isEmpty()) {
throw new IllegalArgumentException("The featureIdsReference map should not be empty.");
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datumbox/datumbox-framework | datumbox-framework-common/src/main/java/com/datumbox/framework/common/concurrency/ConcurrencyConfiguration.java | ConcurrencyConfiguration.setMaxNumberOfThreadsPerTask | public void setMaxNumberOfThreadsPerTask(Integer maxNumberOfThreadsPerTask) {
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datumbox/datumbox-framework | datumbox-framework-common/src/main/java/com/datumbox/framework/common/concurrency/ForkJoinStream.java | ForkJoinStream.forEach | public <T> void forEach(Stream<T> stream, Consumer<? super T> action) {
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datumbox/datumbox-framework | datumbox-framework-common/src/main/java/com/datumbox/framework/common/concurrency/ForkJoinStream.java | ForkJoinStream.map | public <T, R> Stream<R> map(Stream<T> stream, Function<? super T, ? extends R> mapper) {
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datumbox/datumbox-framework | datumbox-framework-common/src/main/java/com/datumbox/framework/common/concurrency/ForkJoinStream.java | ForkJoinStream.collect | public <T, R, A> R collect(Stream<T> stream, Collector<? super T, A, R> collector) {
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datumbox/datumbox-framework | datumbox-framework-common/src/main/java/com/datumbox/framework/common/concurrency/ForkJoinStream.java | ForkJoinStream.min | public <T> Optional<T> min(Stream<T> stream, Comparator<? super T> comparator) {
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datumbox/datumbox-framework | datumbox-framework-common/src/main/java/com/datumbox/framework/common/concurrency/ForkJoinStream.java | ForkJoinStream.sum | public double sum(DoubleStream stream) {
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datumbox/datumbox-framework | datumbox-framework-core/src/main/java/com/datumbox/framework/core/machinelearning/common/dataobjects/KnowledgeBase.java | KnowledgeBase.save | public void save(String storageName) {
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storageEngine.saveObject("modelParameters", modelParameters);
storageEngine.saveObject("trainingParameters", trainingParameters);
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storageEngine.rename(storageName);
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//store the objects on storage
storageEngine.saveObject("modelParameters", modelParameters);
storageEngine.saveObject("trainingParameters", trainingParameters);
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datumbox/datumbox-framework | datumbox-framework-core/src/main/java/com/datumbox/framework/core/common/text/extractors/AbstractTextExtractor.java | AbstractTextExtractor.generateTokenizer | protected AbstractTokenizer generateTokenizer() {
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}
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}
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Class<? extends AbstractTokenizer> tokenizer = parameters.getTokenizer();
if(tokenizer==null) {
return null;
}
try {
return tokenizer.newInstance();
}
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datumbox/datumbox-framework | datumbox-framework-core/src/main/java/com/datumbox/framework/core/common/text/extractors/AbstractTextExtractor.java | AbstractTextExtractor.newInstance | public static <T extends AbstractTextExtractor, TP extends AbstractTextExtractor.AbstractParameters> T newInstance(TP parameters) {
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datumbox/datumbox-framework | datumbox-framework-core/src/main/java/com/datumbox/framework/core/statistics/descriptivestatistics/CensoredDescriptives.java | CensoredDescriptives.survivalFunction | public static AssociativeArray2D survivalFunction(FlatDataCollection flatDataCollection) {
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Queue<... | java | public static AssociativeArray2D survivalFunction(FlatDataCollection flatDataCollection) {
AssociativeArray2D survivalFunction = new AssociativeArray2D(); //AssociativeArray2D is important to maintain the order of the first keys
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datumbox/datumbox-framework | datumbox-framework-core/src/main/java/com/datumbox/framework/core/statistics/descriptivestatistics/CensoredDescriptives.java | CensoredDescriptives.median | public static double median(AssociativeArray2D survivalFunction) {
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Double BpointTi = null;
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Double BpointTi = null;
int n = survivalFunction.size();
if(n==0) {
throw new IllegalArgumentException("The provided collection can't be empty.");
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datumbox/datumbox-framework | datumbox-framework-core/src/main/java/com/datumbox/framework/core/statistics/descriptivestatistics/CensoredDescriptives.java | CensoredDescriptives.ar | private static double ar(AssociativeArray2D survivalFunction, int r) {
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//check if la... | java | private static double ar(AssociativeArray2D survivalFunction, int r) {
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datumbox/datumbox-framework | datumbox-framework-core/src/main/java/com/datumbox/framework/core/statistics/descriptivestatistics/CensoredDescriptives.java | CensoredDescriptives.meanVariance | public static double meanVariance(AssociativeArray2D survivalFunction) {
double meanVariance=0;
int m=0;
int n=0;
for(Map.Entry<Object, AssociativeArray> entry : survivalFunction.entrySet()) {
//Object ti = entry.getKey();
AssociativeArray row = entry.getValue();... | java | public static double meanVariance(AssociativeArray2D survivalFunction) {
double meanVariance=0;
int m=0;
int n=0;
for(Map.Entry<Object, AssociativeArray> entry : survivalFunction.entrySet()) {
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datumbox/datumbox-framework | datumbox-framework-core/src/main/java/com/datumbox/framework/core/machinelearning/modelselection/Validator.java | Validator.validate | public VM validate(Iterator<Split> dataSplits, TrainingParameters trainingParameters) {
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AbstractModeler modeler = MLBuilder.create(trainingParameters, configuration);
List<VM> validationMetricsList = new LinkedList<>();
while (dataSplits.hasNext()) {
Split s = dataSplits.next();
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datumbox/datumbox-framework | datumbox-framework-core/src/main/java/com/datumbox/framework/core/mathematics/regularization/L1Regularizer.java | L1Regularizer.updateWeights | public static <K> void updateWeights(double l1, double learningRate, Map<K, Double> weights, Map<K, Double> newWeights) {
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datumbox/datumbox-framework | datumbox-framework-core/src/main/java/com/datumbox/framework/core/mathematics/regularization/L1Regularizer.java | L1Regularizer.estimatePenalty | public static <K> double estimatePenalty(double l1, Map<K, Double> weights) {
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penalty = l1*sumAbsWeights;
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double penalty = 0.0;
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double sumAbsWeights = 0.0;
for(double w : weights.values()) {
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datumbox/datumbox-framework | datumbox-framework-common/src/main/java/com/datumbox/framework/common/dataobjects/TypeInference.java | TypeInference.getDataType | public static DataType getDataType(Object v) {
//NOTE: DO NOT CHANGE THE ORDER OF THE IFS!!!
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return DataType.BOOLEAN;
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return DataType.ORDINAL;
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//NOTE: DO NOT CHANGE THE ORDER OF THE IFS!!!
if(DataType.BOOLEAN.isInstance(v)) {
return DataType.BOOLEAN;
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datumbox/datumbox-framework | datumbox-framework-common/src/main/java/com/datumbox/framework/common/dataobjects/TypeInference.java | TypeInference.toDouble | public static Double toDouble(Object v) {
if (v == null) {
return null;
}
if (v instanceof Boolean) {
return ((Boolean) v) ? 1.0 : 0.0;
}
return ((Number) v).doubleValue();
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if (v == null) {
return null;
}
if (v instanceof Boolean) {
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}
return ((Number) v).doubleValue();
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datumbox/datumbox-framework | datumbox-framework-common/src/main/java/com/datumbox/framework/common/dataobjects/TypeInference.java | TypeInference.toInteger | public static Integer toInteger(Object v) {
if (v == null) {
return null;
}
if (v instanceof Boolean) {
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}
return ((Number) v).intValue();
} | java | public static Integer toInteger(Object v) {
if (v == null) {
return null;
}
if (v instanceof Boolean) {
return ((Boolean) v) ? 1 : 0;
}
return ((Number) v).intValue();
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datumbox/datumbox-framework | datumbox-framework-core/src/main/java/com/datumbox/framework/core/statistics/parametrics/onesample/DurbinWatson.java | DurbinWatson.calculateScore | public static double calculateScore(FlatDataList errorList) {
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double DWetsquare=0;
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double DWdeltasquare=0;
double DWetsquare=0;
int n = errorList.size();
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Double error = errorList.getDouble(i);
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datumbox/datumbox-framework | datumbox-framework-common/src/main/java/com/datumbox/framework/common/dataobjects/AbstractDataStructureCollection.java | AbstractDataStructureCollection.iteratorDouble | public final Iterator<Double> iteratorDouble() {
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/** {@inheritDoc} */
@Override
public boolean hasNext() {
retu... | java | public final Iterator<Double> iteratorDouble() {
return new Iterator<Double>() {
private final Iterator<Object> objectIterator = (Iterator<Object>) internalData.iterator();
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@Override
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datumbox/datumbox-framework | datumbox-framework-core/src/main/java/com/datumbox/framework/core/mathematics/distances/Distance.java | Distance.euclidean | public static double euclidean(AssociativeArray a1, AssociativeArray a2) {
Map<Object, Double> columnDistances = columnDistances(a1, a2, null);
double distance = 0.0;
for(double columnDistance : columnDistances.values()) {
distance+=(columnDistance*columnDistance);
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datumbox/datumbox-framework | datumbox-framework-core/src/main/java/com/datumbox/framework/core/mathematics/distances/Distance.java | Distance.euclideanWeighted | public static double euclideanWeighted(AssociativeArray a1, AssociativeArray a2, Map<Object, Double> columnWeights) {
Map<Object, Double> columnDistances = columnDistances(a1, a2, columnWeights.keySet());
double distance = 0.0;
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Map<Object, Double> columnDistances = columnDistances(a1, a2, columnWeights.keySet());
double distance = 0.0;
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datumbox/datumbox-framework | datumbox-framework-core/src/main/java/com/datumbox/framework/core/mathematics/distances/Distance.java | Distance.manhattan | public static double manhattan(AssociativeArray a1, AssociativeArray a2) {
Map<Object, Double> columnDistances = columnDistances(a1, a2, null);
double distance = 0.0;
for(double columnDistance : columnDistances.values()) {
distance+=Math.abs(columnDistance);
}
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Map<Object, Double> columnDistances = columnDistances(a1, a2, null);
double distance = 0.0;
for(double columnDistance : columnDistances.values()) {
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datumbox/datumbox-framework | datumbox-framework-core/src/main/java/com/datumbox/framework/core/mathematics/distances/Distance.java | Distance.manhattanWeighted | public static double manhattanWeighted(AssociativeArray a1, AssociativeArray a2, Map<Object, Double> columnWeights) {
Map<Object, Double> columnDistances = columnDistances(a1, a2, columnWeights.keySet());
double distance = 0.0;
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Map<Object, Double> columnDistances = columnDistances(a1, a2, columnWeights.keySet());
double distance = 0.0;
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datumbox/datumbox-framework | datumbox-framework-core/src/main/java/com/datumbox/framework/core/statistics/descriptivestatistics/Ranks.java | Ranks.getRanksFromValues | public static AssociativeArray getRanksFromValues(FlatDataList flatDataCollection) {
AssociativeArray tiesCounter = new AssociativeArray();
Map<Object, Double> key2AvgRank = new LinkedHashMap<>();
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int i = 0;
for (Obj... | java | public static AssociativeArray getRanksFromValues(FlatDataList flatDataCollection) {
AssociativeArray tiesCounter = new AssociativeArray();
Map<Object, Double> key2AvgRank = new LinkedHashMap<>();
_buildRankArrays(flatDataCollection, tiesCounter, key2AvgRank);
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returns in the tieCounter the keys that occur more than once and the
number of occurrences. The tieCounter does not store the list and ranks
of the actual ties because we never use them.
@param flatDataCollection
@return | [
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... | 909dff0476e80834f05ecdde0624dd2390e9b0ca | https://github.com/datumbox/datumbox-framework/blob/909dff0476e80834f05ecdde0624dd2390e9b0ca/datumbox-framework-core/src/main/java/com/datumbox/framework/core/statistics/descriptivestatistics/Ranks.java#L43-L52 | train |
datumbox/datumbox-framework | datumbox-framework-core/src/main/java/com/datumbox/framework/core/statistics/descriptivestatistics/Ranks.java | Ranks.getRanksFromValues | public static AssociativeArray getRanksFromValues(AssociativeArray associativeArray) {
AssociativeArray tiesCounter = new AssociativeArray();
Map<Object, Double> key2AvgRank = new LinkedHashMap<>();
_buildRankArrays(associativeArray.toFlatDataList(), tiesCounter, key2AvgRank);
for (Map.E... | java | public static AssociativeArray getRanksFromValues(AssociativeArray associativeArray) {
AssociativeArray tiesCounter = new AssociativeArray();
Map<Object, Double> key2AvgRank = new LinkedHashMap<>();
_buildRankArrays(associativeArray.toFlatDataList(), tiesCounter, key2AvgRank);
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@param associativeArray
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"t... | 909dff0476e80834f05ecdde0624dd2390e9b0ca | https://github.com/datumbox/datumbox-framework/blob/909dff0476e80834f05ecdde0624dd2390e9b0ca/datumbox-framework-core/src/main/java/com/datumbox/framework/core/statistics/descriptivestatistics/Ranks.java#L63-L71 | train |
datumbox/datumbox-framework | datumbox-framework-applications/src/main/java/com/datumbox/framework/applications/nlp/TextClassifier.java | TextClassifier.fit | public void fit(Map<Object, URI> datasets) {
TrainingParameters tp = (TrainingParameters) knowledgeBase.getTrainingParameters();
Dataframe trainingData = Dataframe.Builder.parseTextFiles(datasets,
AbstractTextExtractor.newInstance(tp.getTextExtractorParameters()),
knowled... | java | public void fit(Map<Object, URI> datasets) {
TrainingParameters tp = (TrainingParameters) knowledgeBase.getTrainingParameters();
Dataframe trainingData = Dataframe.Builder.parseTextFiles(datasets,
AbstractTextExtractor.newInstance(tp.getTextExtractorParameters()),
knowled... | [
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of the training files. The training files should contain one training example
per row.
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datumbox/datumbox-framework | datumbox-framework-applications/src/main/java/com/datumbox/framework/applications/nlp/TextClassifier.java | TextClassifier.predict | public Dataframe predict(URI datasetURI) {
//create a dummy dataset map
Map<Object, URI> dataset = new HashMap<>();
dataset.put(null, datasetURI);
TrainingParameters trainingParameters = (TrainingParameters) knowledgeBase.getTrainingParameters();
Dataframe testD... | java | public Dataframe predict(URI datasetURI) {
//create a dummy dataset map
Map<Object, URI> dataset = new HashMap<>();
dataset.put(null, datasetURI);
TrainingParameters trainingParameters = (TrainingParameters) knowledgeBase.getTrainingParameters();
Dataframe testD... | [
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The data file should contain the text of one observation per row.
@param datasetURI
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] | 909dff0476e80834f05ecdde0624dd2390e9b0ca | https://github.com/datumbox/datumbox-framework/blob/909dff0476e80834f05ecdde0624dd2390e9b0ca/datumbox-framework-applications/src/main/java/com/datumbox/framework/applications/nlp/TextClassifier.java#L148-L163 | train |
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