API Reference

• Mathematics: abs, acos, acosh, add, asin, asinh, atan, atanh, cbrt, clip, clip!, cos, cosh, cholesky, derivative, diag, div, det, eig, exp, exp2, expm1, gram, gramSchmidt, integral, inverse, intersection, iterate, log, log10, log1p, log2, lu, mod, mul, neg, pow, ratio, reciprocal, repmat, sin, sinh, sqrt, square, sub, symmetricDifference, svd, tan, tanh, tril ,triu, schur, signbit, signum, qr
• Statistics: atImax, atImin, avg, contextSum, contextSum2, count, covar, covarMatrix, crossStat, cumnunique, demean, dot, ewmCov, ewmMean, ewmStd, ewmVar, gaussianKde, gaussianKdePredict, imax, imin, kurtosis, mad, max, maxIgnoreNull, med, mean, med, min, minIgnoreNull, mode, mmed, nunique, percentChange, percentile, percentileRank, prod, quantile, quantileSeries, sem, skew, std, stdp, summary, sum, sum2, sum3, sum4, stat, var, varp, wavg, wc, wcovar, wsum
• Correlation: acf, autocorr, corr, corrMatrix, distance, ewmCorr, euclidean, kendall, mutualInfo, rowEuclidean, rowTanimoto, spearmanr, tanimoto
• Sequential analysis: isMonotonicIncreasing/isMonotonic, isMonotonicDecreasing, isPeak, isValley, zigzag
• Machine learning: adaBoostClassifier, adaBoostRegressor, beta, elasticNet, elasticNetCV, gaussianNB, glm, gmm, kmeans, knn, lasso, lassoBasic, lassoCV, logisticRegression, mmse, msl, multinomialNB, ols, olsEx, piecewiseLinFit, poly1d, polyFit, polynomial, predict, pwlfPredict, randomForestClassifier, randomForestRegressor, residual, ridge, ridgeBasic, vectorAR, wls
• Distribution and hypothesis testing: adfuller, anova, cdfBeta, cdfBinomial, cdfChiSquare, cdfExp, cdfF, cdfGamma, cdfKolmogorov, cdfLogistic, cdfNormal, cdfPoisson, cdfStudent, cdfUniform, cdfWeibull, cdfZipf, chiSquareTest, coint, esd, fTest, invBeta, invBinomial, invChiSquare, invExp, invF, invGamma, invLogistic, invNormal, invStudent, invPoisson, invUniform, invWeibull, ksTest, mannWhitneyUTest, manova, norm/normal, rand, randBeta, randBinomial, randChiSquare, randDiscrete, randExp, randF, randGamma, randLogistic, randMultivariateNormal, randNormal, randPoisson, randStudent, randUniform, randWeibull, seasonalEsd, shapiroTest, tTest, zTest
• Data processing: all, any, asis, asof, bucketCount, coeven, cols, copy, contextCount, countNanInf, cumPositiveStreak, deltas, dictUpdate!, distinct, dynamicGroupCumcount, dynamicGroupCumsum, hashBucket, iif, imaxLast, iminLast, isDuplicated, keys, linearTimeTrend, lowerBound, lowRange, mask, maxPositiveStreak, mimaxLast, miminLast, mmaxPositiveStreakxPositiveStreak, pca, ratios, resample, rowImaxLast, rowIminLast, rows, sessionWindow, shape, size, stl, sumbars, talibNull, tmove, topRange, valueChanged, values, winsorize!, winsorize, zscore
• Interpolation: cubicSpline, cubicSplinePredict, dividedDifference, kroghInterpolate, loess, neville, spline, splrep, splev
• Optimization: brute, brentq, fmin, fminBFGS, fminLBFGSB, fminNCG, fminSLSQP, linprog, osqp, qclp, quadprog, scs, solve, socp
• Financial analysis: CVaR, bondAccrInt, bondConvexity, bondDirtyPrice, bondDuration, nss, nsspredict, trueRange, VaR

The following table provides a mapping between Swordfish state functions and DolphinDB built-in functions. For detailed information, refer to the DolphinDB documentation.