stdlib-js/ml-incr-kmeans

Float64Array.

Test if an array-like value contains a search value.

Test if an object has a specified property.

Test if a value is a boolean.

Test if a value is a 2-dimensional ndarray-like object.

Test if a value is a plain object.

Test if a value is a number having a positive integer value.

Copy values from x into y.

Double-precision floating-point positive infinity.

Round a double-precision floating-point number toward negative infinity.

Evaluate the natural logarithm of a double-precision floating-point number.

Compute the principal square root of a double-precision floating-point number.

Base multidimensional array.

Multidimensional array constructor.

Discrete uniform distributed pseudorandom numbers.

A linear congruential pseudorandom number generator (LCG) whose output is shuffled.

A 32-bit Mersenne Twister pseudorandom number generator.

Sample elements from an array-like object.

Insert supplied variable values into a format string.

stdlib TypeScript type declarations.

Define a non-enumerable read-only property.

Format an error message for production.

Check if the runtime is a web browser.

Normally distributed pseudorandom numbers.

Uniformly distributed pseudorandom numbers between 0 and 1.

tap-producing test harness for node and browsers

Yet another JS code coverage tool that computes statement, line, function and branch coverage with module loader hooks to transparently add coverage when running tests. Supports all JS coverage use cases including unit tests, server side functional tests and browser tests. Built for scale

Minimal TAP output formatter.

Benchmark harness.

Test if a value is an array-like object.

Copy values from x into y.

Compute an arithmetic mean incrementally.

Compute an arithmetic mean and corrected sample standard deviation incrementally.

Test if a value is a 1-dimensional ndarray-like object.

Int8Array.

Plotting.

Incremental machine learning algorithms.