Compute a geometric mean incrementally.
Compute the range along one or more ndarray dimensions, ignoring `NaN` values.
Calculate the range of a strided array, ignoring NaN values.
Convert a single-precision floating-point number to an unsigned 32-bit integer.
Calculate the variance of a strided array using a one-pass trial mean algorithm.
Calculate the maximum value of a double-precision floating-point strided array.
Return a string giving the literal bit representation of an unsigned 32-bit integer.
Evaluate the modulus function for single-precision floating-point numbers.
Compute a moving arithmetic mean and corrected sample standard deviation incrementally.
Calculate the minimum value of a strided array according to a mask, ignoring NaN values.
Compute an unbiased sample variance incrementally.
Calculate the sum of strided array elements, ignoring NaN values and using an improved Kahan–Babuška algorithm.
Bernoulli distribution cumulative distribution function (CDF).
Pareto (Type I) distribution quantile function.
Compute a sample Pearson product-moment correlation distance matrix incrementally.
Test if a number is prime.
Calculate the arithmetic mean of a strided array using ordinary recursive summation.
Convert RGB to grayscale
Return the alias associated with a specified package name.
Bernoulli distribution mode.
Compute the mean absolute percentage error (MAPE) incrementally.
Agentic SDK for Predict Leads.
Evaluate the ramp function (single-precision).
Add a scalar constant to each double-precision floating-point strided array element and compute the sum using ordinary recursive summation.