sklearn

Use Python's #1 machine learning library from Node.js
scikitlearnsklearnmachine learningmlaiSelectorMixinCalibratedClassifierCVAffinityPropagationAgglomerativeClusteringBirchDBSCANFeatureAgglomerationKMeansBisectingKMeansMiniBatchKMeansMeanShiftOPTICSSpectralClusteringSpectralBiclusteringSpectralCoclusteringColumnTransformerTransformedTargetRegressorEmpiricalCovarianceEllipticEnvelopeGraphicalLassoGraphicalLassoCVLedoitWolfMinCovDetOASShrunkCovarianceCCAPLSCanonicalPLSRegressionPLSSVDDictionaryLearningFactorAnalysisFastICAIncrementalPCAKernelPCALatentDirichletAllocationMiniBatchDictionaryLearningMiniBatchSparsePCANMFMiniBatchNMFPCASparsePCASparseCoderTruncatedSVDLinearDiscriminantAnalysisQuadraticDiscriminantAnalysisDummyClassifierDummyRegressorAdaBoostClassifierAdaBoostRegressorBaggingClassifierBaggingRegressorExtraTreesClassifierExtraTreesRegressorGradientBoostingClassifierGradientBoostingRegressorIsolationForestRandomForestClassifierRandomForestRegressorRandomTreesEmbeddingStackingClassifierStackingRegressorVotingClassifierVotingRegressorHistGradientBoostingRegressorHistGradientBoostingClassifierConvergenceWarningDataConversionWarningDataDimensionalityWarningEfficiencyWarningFitFailedWarningNotFittedErrorUndefinedMetricWarningDictVectorizerFeatureHasherPatchExtractorCountVectorizerHashingVectorizerTfidfTransformerTfidfVectorizerGenericUnivariateSelectSelectPercentileSelectKBestSelectFprSelectFdrSelectFromModelSelectFweSequentialFeatureSelectorRFERFECVVarianceThresholdGaussianProcessClassifierGaussianProcessRegressorCompoundKernelConstantKernelDotProductExpSineSquaredExponentiationHyperparameterKernelMaternPairwiseKernelProductRBFRationalQuadraticSumWhiteKernelSimpleImputerIterativeImputerMissingIndicatorKNNImputerDecisionBoundaryDisplayPartialDependenceDisplayIsotonicRegressionAdditiveChi2SamplerNystroemPolynomialCountSketchRBFSamplerSkewedChi2SamplerKernelRidgeLogisticRegressionLogisticRegressionCVPassiveAggressiveClassifierPerceptronRidgeClassifierRidgeClassifierCVSGDClassifierSGDOneClassSVMLinearRegressionRidgeRidgeCVSGDRegressorElasticNetElasticNetCVLarsLarsCVLassoLassoCVLassoLarsLassoLarsCVLassoLarsICOrthogonalMatchingPursuitOrthogonalMatchingPursuitCVARDRegressionBayesianRidgeMultiTaskElasticNetMultiTaskElasticNetCVMultiTaskLassoMultiTaskLassoCVHuberRegressorQuantileRegressorRANSACRegressorTheilSenRegressorPoissonRegressorTweedieRegressorGammaRegressorIsomapLocallyLinearEmbeddingMDSSpectralEmbeddingTSNEDistanceMetricConfusionMatrixDisplayDetCurveDisplayPrecisionRecallDisplayPredictionErrorDisplayRocCurveDisplayCalibrationDisplayBayesianGaussianMixtureGaussianMixtureGroupKFoldGroupShuffleSplitKFoldLeaveOneGroupOutLeavePGroupsOutLeaveOneOutLeavePOutPredefinedSplitRepeatedKFoldRepeatedStratifiedKFoldShuffleSplitStratifiedKFoldStratifiedShuffleSplitStratifiedGroupKFoldTimeSeriesSplitGridSearchCVHalvingGridSearchCVParameterGridParameterSamplerRandomizedSearchCVHalvingRandomSearchCVLearningCurveDisplayOneVsRestClassifierOneVsOneClassifierOutputCodeClassifierClassifierChainMultiOutputRegressorMultiOutputClassifierRegressorChainBernoulliNBCategoricalNBComplementNBGaussianNBMultinomialNBBallTreeKDTreeKernelDensityKNeighborsClassifierKNeighborsRegressorKNeighborsTransformerLocalOutlierFactorRadiusNeighborsClassifierRadiusNeighborsRegressorRadiusNeighborsTransformerNearestCentroidNearestNeighborsNeighborhoodComponentsAnalysisBernoulliRBMMLPClassifierMLPRegressorFeatureUnionPipelineBinarizerFunctionTransformerKBinsDiscretizerKernelCentererLabelBinarizerLabelEncoderMultiLabelBinarizerMaxAbsScalerMinMaxScalerNormalizerOneHotEncoderOrdinalEncoderPolynomialFeaturesPowerTransformerQuantileTransformerRobustScalerSplineTransformerStandardScalerGaussianRandomProjectionSparseRandomProjectionLabelPropagationLabelSpreadingSelfTrainingClassifierLinearSVCLinearSVRNuSVCNuSVROneClassSVMSVCSVRDecisionTreeClassifierDecisionTreeRegressorExtraTreeClassifierExtraTreeRegressorBunchParallel

lineareg

Javascript implementation of linear regression with gradient descent