@stdlib/ndarray-base-nullary-loop-interchange-order
Reorder ndarray dimensions and associated strides for loop interchange.
@stdlib/stats-incr-pcorrmat
Compute a sample Pearson product-moment correlation matrix incrementally.
@stdlib/math-base-special-ceil2
Round a numeric value to the nearest power of two toward positive infinity.
@stdlib/stats-base-dists-triangular-logpdf
Triangular distribution logarithm of probability density function (PDF).
@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-base-dists-triangular-quantile
Triangular distribution quantile function.
@stdlib/stats-incr-ewstdev
Compute an exponentially weighted standard deviation incrementally.
@stdlib/stats-base-dists-triangular-entropy
Triangular distribution differential entropy.
@stdlib/stats-incr-mvmr
Compute a moving variance-to-mean ratio (VMR) incrementally.
@stdlib/stats-incr-mminmaxabs
Compute moving minimum and maximum absolute values incrementally.
@stdlib/stats-incr-nansumabs
Compute a sum of absolute values incrementally, ignoring NaN values.
@stdlib/math-base-special-bessely1
Compute the Bessel function of the second kind of order one.
https://github.com/finos/perspective
A data visualization and analytics component, especially well-suited for large and/or streaming datasets.
@stdlib/stats-incr-mape
Compute the mean absolute percentage error (MAPE) incrementally.
@stdlib/stats-base-nanvariance
Calculate the variance of a strided array ignoring NaN values.
@stdlib/stats-base-dists-gamma-entropy
Gamma distribution differential entropy.
@stdlib/stats-incr-pcorrdistmat
Compute a sample Pearson product-moment correlation distance matrix incrementally.
@stdlib/math-base-special-copysignf
Return a single-precision floating-point number with the magnitude of x and the sign of y.
@stdlib/constants-float64-max-safe-nth-fibonacci
Maximum safe nth Fibonacci number when stored in double-precision floating-point format.
@stdlib/blas-ext-base-dssum
Calculate the sum of single-precision floating-point strided array elements using extended accumulation and returning an extended precision result.
@stdlib/stats-incr-msumabs
Compute a moving sum of absolute values incrementally.
@stdlib/math-base-special-sinc
Compute the normalized cardinal sine of a number.
@stdlib/stats-incr-mcovariance
Compute a moving unbiased sample covariance incrementally.
stats-incr-meanstdev
Compute an arithmetic mean and corrected sample standard deviation incrementally.
@stdlib/stats-base-dists-laplace-logpdf
Laplace distribution logarithm of probability density function (PDF).
@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-mrss
Compute a moving residual sum of squares (RSS) incrementally.
icpts
TypeScript implementation of iterative closest point (ICP) for point cloud registration
@stdlib/math-base-special-besselj1
Compute the Bessel function of the first kind of order one.
@stdlib/stats-base-dists-levy-pdf
Lévy distribution probability density function (PDF).
@stdlib/strided-base-smap
Apply a unary function accepting and returning single-precision floating-point numbers to each element in a single-precision floating-point strided input array and assign each result to an element in a single-precision floating-point strided output array.
@stdlib/stats-padjust
Adjust supplied p-values for multiple comparisons via a specified method.
@stdlib/strided-napi-smskmap
C API for registering an N-API module exporting a strided array interface for applying a unary callback accepting and returning single-precision floating-point numbers to each element in a single-precision floating-point strided input array according to a corresponding element in a strided mask array and assigning results to elements in a single-precision floating-point strided output array.
@stdlib/stats-base-dists-frechet-entropy
Fréchet distribution differential entropy.
@stdlib/stats-incr-rss
Compute the residual sum of squares (RSS) incrementally.