import { perceptron } from "https://deno.land/x/simplestatistics@v7.7.6/index.js";
Predict: Use an array of features with the weight array and bias to predict whether an example is labeled 0 or 1.
benchmarksscriptssrctestbayesianBayesianClassifierperceptronPerceptronModelchiSquaredDistributionTableepsilonstandardNormalTableaddToMeanapproxEqualaverageaverageSimplebernoulliDistributionbinomialDistributionbisectchiSquaredGoodnessOfFitchunkckmeanscoefficientOfVariationcombinationscombinationsReplacementcombineMeanscombineVariancescumulativeStdLogisticProbabilitycumulativeStdNormalProbabilityequalIntervalBreakserferrorFunctionextentextentSortedfactorialgammagammalngeometricMeanharmonicMeaninterquartileRangeinverseErrorFunctioniqrkdekernelDensityEstimationkMeansClusterlinearRegressionlinearRegressionLinelogAveragelogitmadmaxmaxSortedmeanmeanSimplemedianmedianAbsoluteDeviationmedianSortedminminSortedmodemodeFastmodeSortednumericSortpermutationsHeappermutationTestpoissonDistributionprobitproductquantilequantileRankquantileRankSortedquantileSortedquickselectrelativeErrorrmsrootMeanSquarerSquaredsamplesampleCorrelationsampleCovariancesampleKurtosissampleRankCorrelationsampleSkewnesssampleStandardDeviationsampleVariancesampleWithReplacementshuffleshuffleInPlacesignsilhouettesilhouetteMetricstandardDeviationsubtractFromMeansumsumNthPowerDeviationssumSimpletTesttTestTwoSampleuniqueCountSortedvariancewilcoxonRankSumzScore
index.js (default module)
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