stats-incr-mse

Compute the mean squared error (MSE) incrementally.

APACHE-2.0 License

Downloads
187
Stars
1
Committers
1
View Code on GitHub Visit Website View on X
Ecosystems: Node.js, JavaScript

No README available, please check again later.

Package Rankings
Top 10.43% on Npmjs.org
Related Projects
stats-base-dists-erlang-variance

Erlang distribution variance.

14 Jun 2021 1
stats-base-dsvariance

Calculate the variance of a single-precision floating-point strided array using extended accumula...

14 Jun 2021 2
stats-iter-sumabs2

Compute the sum of squared absolute values for all iterated values.

13 Jun 2021 2
constants-float16-sqrt-eps

Square root of half-precision floating-point epsilon.

13 Jun 2021 2
stats-base-meanwd

Calculate the arithmetic mean of a strided array using Welford's algorithm.

07 Jun 2021 2
stats-base-dists-gamma-mean

Gamma distribution expected value.

07 Jun 2021 3
stats-base-dists-arcsine-median

Arcsine distribution median.

07 Jun 2021 2
stats-base-dists-beta-mean

Beta distribution expected value.

07 Jun 2021 2
stats-base-dists-erlang-stdev

Erlang distribution standard deviation.

14 Jun 2021 1
constants-float64-cbrt-eps

Cube root of double-precision floating-point epsilon.

13 Jun 2021 2
stats-base-dists-uniform-mean

Uniform distribution expected value.

07 Jun 2021 2
stats-base-meankbn2

Calculate the arithmetic mean of a strided array using a second-order iterative Kahan–Babuška alg...

15 Jun 2021 1
stats-base-dists-erlang-mean

Erlang distribution expected value.

14 Jun 2021 1
stats-incr-ewvariance

Compute an exponentially weighted variance incrementally.

13 Jun 2021 1
stats-base-dists-chisquare-mean

Chi-squared distribution expected value.

14 Jun 2021 2