import { perceptron } from "https://deno.land/x/simplestatistics@v7.7.5/index.js";
Train the classifier with a new example, which is a numeric array of features and a 0 or 1 label.
benchmarksscriptssrctestbayesianBayesianClassifierperceptronPerceptronModelchiSquaredDistributionTableepsilonstandardNormalTableaddToMeanapproxEqualaverageaverageSimplebernoulliDistributionbinomialDistributionbisectchiSquaredGoodnessOfFitchunkckmeanscoefficientOfVariationcombinationscombinationsReplacementcombineMeanscombineVariancescumulativeStdLogisticProbabilitycumulativeStdNormalProbabilityequalIntervalBreakserferrorFunctionextentextentSortedfactorialgammagammalngeometricMeanharmonicMeaninterquartileRangeinverseErrorFunctioniqrkdekernelDensityEstimationkMeansClusterlinearRegressionlinearRegressionLinelogAveragelogitmadmaxmaxSortedmeanmeanSimplemedianmedianAbsoluteDeviationmedianSortedminminSortedmodemodeFastmodeSortednumericSortpermutationsHeappermutationTestpoissonDistributionprobitproductquantilequantileRankquantileRankSortedquantileSortedquickselectrelativeErrorrmsrootMeanSquarerSquaredsamplesampleCorrelationsampleCovariancesampleKurtosissampleRankCorrelationsampleSkewnesssampleStandardDeviationsampleVariancesampleWithReplacementshuffleshuffleInPlacesignsilhouettesilhouetteMetricstandardDeviationsubtractFromMeansumsumNthPowerDeviationssumSimpletTesttTestTwoSampleuniqueCountSortedvariancewilcoxonRankSumzScore
index.js (default module)
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