A trainable Hidden Markov Model with Gaussian emissions using TensorFlow.js
Apply a unary function to a double-precision floating-point strided input array and assign results to a double-precision floating-point strided output array.
Apply a unary function to a double-precision floating-point strided input array according to a strided mask array and assign results to a double-precision floating-point strided output array.
Apply a callback to elements in an input ndarray and assign results to elements in a new output ndarray.
Test whether a value is a relative URI.
Compute the hyperbolic sine of a double-precision floating-point number.
Create a filled four-dimensional nested array.
Dirichlet eta function.
Double-precision floating-point NaN.
Same as JSON but with added support for `Date`, `undefined`, `Map`, `Set`, and more.
Convert a Node-API value representing a two-dimensional strided array to a single-precision floating-point array.
Truncated normal distribution probability density function (PDF).
F distribution differential entropy.
Create a filled five-dimensional nested array according to a provided callback function.
Copy values from one complex double-precision floating-point vector to another complex double-precision floating-point vector.
Snapshot test utilities for mocha
Compute the sum of absolute values (L1 norm).
Chi distribution expected value.
Create a filled four-dimensional nested array according to a provided callback function.
Flatten an array.
Test whether two single-precision complex floating-point numbers are not equal.
Test if a value is an uppercase string.
Create a filled five-dimensional nested array.
Compute JSON hash.