/**
 * Normalized exponential function, converts vector of size K into probability distribution of K possible outcomes
 * Useful in neural network implementations
 * @see https://en.wikipedia.org/wiki/Softmax_function
 * @param {number[]|Float32Array} z input vector
 * @param {number} i Element in vector Z to compute softmax for
 * @param {number} k Should be >= 1, typically dimension of Z
 * @returns {number}
 */
export function softmax(z: number[] | Float32Array, i: number, k: number): number;
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