stdlib-js/ml-incr-binary-classifica...

Float64Array.

Test if an object has a specified property.

Test if a value is an array-like object.

Test if a value is a boolean.

Test if a value is ndarray-like.

Test if a value is a number.

Test if a value is a plain object.

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

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

Natural exponential function.

Exponential function.

Return the number of elements in an array.

Multidimensional array constructor.

Insert supplied variable values into a format string.

stdlib TypeScript type declarations.

Define a non-enumerable read-only accessor.

Define a non-enumerable read-only property.

Format an error message for production.

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.

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

Test if a value is a number having a nonnegative value.

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

Copy values from x into y.

Multiply a double-precision floating-point vector by a constant.

Multiply x by a constant and add the result to y.

Calculate the dot product of two vectors.

Standard logistic function.

Return the maximum value.

Generate a stride array from an array shape.

Convert a linear index in an array view to a linear index in an underlying data buffer.

Multidimensional arrays.

Binomial distributed pseudorandom numbers.

Normally distributed pseudorandom numbers.