@stdlib/assert-has-uint8clampedarray-support
Detect native Uint8ClampedArray support.
@stdlib/utils-keys
Return an array of an object's own enumerable property names.
@stdlib/math-base-assert-is-nan
Test if a double-precision floating-point numeric value is NaN.
@stdlib/math-base-special-floor
Round a double-precision floating-point number toward negative infinity.
@stdlib/utils-property-names
Return an array of an object's own enumerable and non-enumerable property names.
@stdlib/blas-ext-base-gsumkbn
Calculate the sum of strided array elements using an improved Kahan–Babuška algorithm.
@stdlib/stats-base-dnanvariancech
Calculate the variance of a double-precision floating-point strided array ignoring NaN values and using a one-pass trial mean algorithm.
@stdlib/blas-ext-base-dnansumkbn
Calculate the sum of double-precision floating-point strided array elements, ignoring NaN values and using an improved Kahan–Babuška algorithm.
@stdlib/ml-incr-binary-classification
Incrementally perform binary classification using stochastic gradient descent (SGD).
@stdlib/blas-ext-base-ssumpw
Calculate the sum of single-precision floating-point strided array elements using pairwise summation.
@stdlib/blas-ext-base-dapxsumkbn
Add a constant to each double-precision floating-point strided array element and compute the sum using an improved Kahan–Babuška algorithm.
@stdlib/blas-ext-base-dnannsumpw
Calculate the sum of double-precision floating-point strided array elements, ignoring NaN values and using pairwise summation.
@stdlib/blas-ext-base-sapxsumpw
Adds a constant to each single-precision floating-point strided array element and computes the sum using pairwise summation.
@stdlib/stats-base-nanstdevch
Calculate the standard deviation of a strided array ignoring NaN values and using a one-pass trial mean algorithm.
@stdlib/stats-base-dmeanvarpn
Calculate the mean and variance of a double-precision floating-point strided array using a two-pass algorithm.
@stdlib/blas-ext-base-dssumpw
Calculate the sum of single-precision floating-point strided array elements using pairwise summation with extended accumulation and returning an extended precision result.
@stdlib/stats-base-variancech
Calculate the variance of a strided array using a one-pass trial mean algorithm.
@stdlib/blas-ext-base-sapxsumkbn
Add a constant to each single-precision floating-point strided array element and compute the sum using an improved Kahan–Babuška algorithm.
@stdlib/blas-ext-base-dapxsumkbn2
Add a constant to each double-precision floating-point strided array element and compute the sum using a second-order iterative Kahan–Babuška algorithm.
@stdlib/blas-ext-base-ssumkbn2
Calculate the sum of single-precision floating-point strided array elements using a second-order iterative Kahan–Babuška algorithm.
@stdlib/blas-ext-base-dsumkbn
Calculate the sum of double-precision floating-point strided array elements using an improved Kahan–Babuška algorithm.
@stdlib/datasets-spache-revised
A list of simple American-English words (revised Spache).
@stdlib/stats-base-nanvarianceyc
Calculate the variance of a strided array ignoring NaN values and using a one-pass algorithm proposed by Youngs and Cramer.
@stdlib/stats-base-snanmeanwd
Calculate the arithmetic mean of a single-precision floating-point strided array, ignoring NaN values and using Welford's algorithm.
@stdlib/math-base-special-ellipe
Compute the complete elliptic integral of the second kind.
@stdlib/stats-base-nanvariancewd
Calculate the variance of a strided array ignoring NaN values and using Welford's algorithm.
@stdlib/stats-base-dmeanpn
Calculate the arithmetic mean of a double-precision floating-point strided array using a two-pass error correction algorithm.
@stdlib/blas-ext-base-scusumpw
Calculate the cumulative sum of single-precision floating-point strided array elements using pairwise summation.
@stdlib/blas-ext-base-sdssumpw
Calculate the sum of single-precision floating-point strided array elements using pairwise summation with extended accumulation.
@stdlib/blas-ext-base-gsumkbn2
Calculate the sum of strided array elements using a second-order iterative Kahan–Babuška algorithm.
@stdlib/blas-ext-base-dcusumkbn
Calculate the cumulative sum of double-precision floating-point strided array elements using an improved Kahan–Babuška algorithm.
@stdlib/stats-base-dvariancepn
Calculate the variance of a double-precision floating-point strided array using a two-pass algorithm.
@stdlib/stats-base-variancetk
Calculate the variance of a strided array using a one-pass textbook algorithm.
@stdlib/blas-ext-base-ssumkbn
Calculate the sum of single-precision floating-point strided array elements using an improved Kahan–Babuška algorithm.
@stdlib/random-streams-box-muller
Create a readable stream for generating pseudorandom numbers drawn from a standard normal distribution using the Box-Muller transform.
@stdlib/stats-base-stdevwd
Calculate the standard deviation of a strided array using Welford's algorithm.
@stdlib/blas-ext-base-gapxsumkbn
Add a constant to each strided array element and compute the sum using an improved Kahan–Babuška algorithm.
@stdlib/stats-base-dmeanstdevpn
Calculate the mean and standard deviation of a double-precision floating-point strided array using a two-pass algorithm.
@stdlib/blas-ext-base-gcusumkbn
Calculate the cumulative sum of strided array elements using an improved Kahan–Babuška algorithm.
@stdlib/stats-base-dsmeanpn
Calculate the arithmetic mean of a single-precision floating-point strided array using a two-pass error correction algorithm with extended accumulation and returning an extended precision result.