@stdlib/stats-base-dmskmin
Calculate the minimum value of a double-precision floating-point strided array according to a mask.
Calculate the minimum value of a double-precision floating-point strided array according to a mask.
Calculate the range of a double-precision floating-point strided array according to a mask.
Calculate the maximum value of a double-precision floating-point strided array, ignoring NaN values.
Calculate the maximum absolute value of a double-precision floating-point strided array, ignoring NaN values.
Calculate the minimum value of a double-precision floating-point strided array, ignoring NaN values.
Calculate the minimum absolute value of a double-precision floating-point strided array, ignoring NaN values.
Calculate the maximum value of a double-precision floating-point strided array according to a mask, ignoring NaN values.
Calculate the minimum value of a double-precision floating-point strided array according to a mask, ignoring NaN values.
Calculate the range of a double-precision floating-point strided array according to a mask, ignoring NaN values.
Calculate the range of a double-precision floating-point strided array, ignoring NaN values.
Calculate the maximum value of a double-precision floating-point strided array.
Calculate the maximum value of a strided array.
Calculate the maximum value of a strided array via a callback function.
Calculate the maximum absolute value of a strided array.
Calculate the maximum value of a sorted strided array.
Calculate the minimum value of a strided array.
Calculate the minimum value of a strided array via a callback function.
Calculate the minimum absolute value of a strided array.
Calculate the minimum value of a sorted strided array.
A nodejs module for local and remote Inter Process Communication (IPC), Neural Networking, and able to facilitate machine learning.