@stdlib/math-base-special-ceilf
Round a single-precision floating-point number toward positive infinity.
@stdlib/constants-float32-sign-mask
Mask for the sign bit of a single-precision floating-point number.
@stdlib/stats-base-dists-uniform-entropy
Uniform distribution differential entropy.
@stdlib/stats-incr-apcorr
Compute a sample absolute Pearson product-moment correlation coefficient.
@stdlib/strided-dispatch
Create a strided array function interface which performs multiple dispatch.
@stdlib/stats-incr-ewmean
Compute an exponentially weighted mean incrementally.
@stdlib/assert-is-ascii
Test whether a character belongs to the ASCII character set and whether this is true for all characters in a provided string.
@stdlib/ndarray-base-maybe-broadcast-array
Broadcast an ndarray to a specified shape if and only if the specified shape differs from the provided ndarray's shape.
@stdlib/stats-base-dists-triangular-mean
Triangular distribution expected value.
@stdlib/stats-base-dists-triangular-pdf
Triangular distribution probability density function (PDF).
@stdlib/stats-incr-mvariance
Compute a moving unbiased sample variance incrementally.
@stdlib/random-iter-beta
Create an iterator for generating pseudorandom numbers drawn from a beta distribution.
@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-mminmaxabs
Compute moving minimum and maximum absolute values incrementally.
@stdlib/stats-incr-mvmr
Compute a moving variance-to-mean ratio (VMR) incrementally.
@stdlib/math-base-special-bessely1
Compute the Bessel function of the second kind of order one.
@stdlib/stats-incr-nansumabs
Compute a sum of absolute values incrementally, ignoring NaN values.
@stdlib/stats-base-nanvariance
Calculate the variance of a strided array ignoring NaN values.
@stdlib/stats-incr-mape
Compute the mean absolute percentage error (MAPE) incrementally.
@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.