stdlib-js/ml-incr

Check if the runtime is a web browser.

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

Exponential function.

Uniformly distributed pseudorandom numbers between 0 and 1.

Incrementally perform binary classification using stochastic gradient descent (SGD).

Incrementally partition data into `k` clusters.

Online regression via stochastic gradient descent (SGD).

Define a read-only property.

Float64Array.

Int8Array.

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.

Test if a value is an array-like object.

Test if a value is a boolean.

Test if a value is a function.

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

Test if a value is ndarray-like.

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

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.

Test if a value is a string.

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

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.

Copy values from x into y.

Calculate the dot product of two vectors.

Double-precision floating-point positive infinity.

Natural exponential function.

Standard logistic function.

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

Return the maximum value.

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

Multidimensional arrays.

Base multidimensional array.

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.

Plotting.

Binomial distributed pseudorandom numbers.

Discrete uniform distributed pseudorandom numbers.

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

A 32-bit Mersenne Twister pseudorandom number generator.

Normally distributed pseudorandom numbers.

Sample elements from an array-like object.

Compute an arithmetic mean incrementally.