Grubbs' test for outliers.
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Updated
Jul 29, 2024 - JavaScript
Grubbs' test for outliers.
Split a double-precision floating-point number into a normalized fraction and an integer power of two.
Compute the normalized cardinal sine of a number.
Create an iterator which computes the normalized cardinal sine for each iterated value.
Moving Grubbs' test for outliers.
Evaluate a normalized Hermite polynomial using single-precision floating-point arithmetic.
Evaluate a normalized Hermite polynomial.
Compute the shape of a normalized multi-slice.
Smallest positive normalized single-precision floating-point number.
🕉 Library for manipulating normalized data structures
Softmax function, normalize a vector of real numbers into a probability distribution
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