@stdlib/stats-incr-kurtosis
Compute a corrected sample excess kurtosis incrementally.
@stdlib/stats-incr-skewness
Compute a corrected sample skewness incrementally.
@stdlib/stats-incr-mmaape
Compute a moving arctangent mean absolute percentage error (MAAPE) incrementally.
@stdlib/ml-incr-binary-classification
Incrementally perform binary classification using stochastic gradient descent (SGD).
tmu
Implements the Tsetlin Machine, Coalesced Tsetlin Machine, Convolutional Tsetlin Machine, Regression Tsetlin Machine, and Weighted Tsetlin Machine, with support for continuous features, drop clause, Type III Feedback, focused negative sampling, multi-task classifier, autoencoder, literal budget, and one-vs-one multi-class classifier. TMU is written in Python with wrappers for C and CUDA-based clause evaluation and updating.
@stdlib/stats-incr-stdev
Compute a corrected sample standard deviation incrementally.
@stdlib/stats-incr-mstdev
Compute a moving corrected sample standard deviation incrementally.
@stdlib/stats-incr-mmaxabs
Compute a moving maximum absolute value incrementally.
@stdlib/stats-incr-mpcorrdist
Compute a moving sample Pearson product-moment correlation distance incrementally.
@stdlib/stats-incr-minmaxabs
Compute minimum and maximum absolute values incrementally.
@stdlib/stats-incr-meanabs2
Compute an arithmetic mean of squared absolute values incrementally.
@stdlib/stats-incr-mda
Compute the mean directional accuracy (MDA) incrementally.
@stdlib/stats-incr-mmda
Compute a moving mean directional accuracy (MDA) incrementally.
@stdlib/stats-incr-covmat
Compute an unbiased sample covariance matrix incrementally.
@stdlib/stats-incr-covariance
Compute an unbiased sample covariance incrementally.
stats-incr-pcorr
Compute a sample Pearson product-moment correlation coefficient.
@stdlib/stats-incr-pcorrdist
Compute a sample Pearson product-moment correlation distance.
@stdlib/stats-incr-ewmean
Compute an exponentially weighted mean incrementally.
@stdlib/stats-incr-mvariance
Compute a moving unbiased sample variance incrementally.
@stdlib/ml-incr-sgd-regression
Online regression via stochastic gradient descent (SGD).
@stdlib/stats-incr-mmae
Compute a moving mean absolute error (MAE) incrementally.
@stdlib/stats-incr-nansumabs
Compute a sum of absolute values incrementally, ignoring NaN values.
@stdlib/stats-incr-variance
Compute an unbiased sample variance incrementally.
@stdlib/stats-incr-msumabs
Compute a moving sum of absolute values incrementally.
@stdlib/stats-incr-mcovariance
Compute a moving unbiased sample covariance incrementally.
@stdlib/stats-incr-mmape
Compute a moving mean absolute percentage error (MAPE) incrementally.
@stdlib/stats-incr-mmpe
Compute a moving mean percentage error (MPE) incrementally.
@stdlib/stats-incr-rss
Compute the residual sum of squares (RSS) incrementally.
@stdlib/stats-incr-mmeanabs2
Compute a moving arithmetic mean of squared absolute values incrementally.
@stdlib/stats-incr-mmeanabs
Compute a moving arithmetic mean of absolute values incrementally.
@stdlib/stats-incr-mminabs
Compute a moving minimum absolute value incrementally.
@stdlib/stats-incr-sumabs2
Compute a sum of squared absolute values incrementally.
@stdlib/stats-incr-ewvariance
Compute an exponentially weighted variance incrementally.
@stdlib/stats-incr
Standard library functions for computing statistics incrementally.
@stdlib/stats-incr-nansumabs2
Compute a sum of squared absolute values incrementally, ignoring NaN values.
@stdlib/stats-incr-msumabs2
Compute a moving sum of squared absolute values incrementally.
@stdlib/stats-incr-mminmax
Compute a moving minimum and maximum incrementally.
@stdlib/stats-incr-cv
Compute the coefficient of variation (CV) incrementally.
@stdlib/stats-incr-mmse
Compute a moving mean squared error (MSE) incrementally.
@stdlib/stats-incr-meanabs
Compute an arithmetic mean of absolute values incrementally.
@stdlib/stats-incr-mcv
Compute a moving coefficient of variation (CV) incrementally.
https://github.com/comunica/incremunica
Incremental query engine build with Comunica
stats-incr-nanmaxabs
Compute a maximum absolute value incrementally, ignoring NaN values.
stats-incr-nanskewness
Compute a corrected sample skewness incrementally, ignoring NaN values.
stats-incr-nanstdev
Compute a corrected sample standard deviation incrementally, ignoring NaN values.
stats-incr-nanmean
Compute an arithmetic mean incrementally, ignoring NaN values.
stats-incr-nanmstdev
Compute a moving corrected sample standard deviation incrementally, ignoring NaN values.