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

Float64Array.

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

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 number having a positive value.

Copy values from x into y.

Natural exponential function.

Return the maximum value.

Exponential function.

Return the number of elements in an array.

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 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.

Multidimensional arrays.

Normally distributed pseudorandom numbers.

tap-producing test harness for node and browsers

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Minimal TAP output formatter.

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

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

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.

Binomial distributed pseudorandom numbers.