/**
 * Viterbi Algorithm for Hidden Markov Models
 *
 * Finds the most likely sequence of hidden states given observations
 * Uses log probabilities for numerical stability
 */
import { ViterbiResult } from '../../schemas/ViterbiResultSchema';
import { EmissionParams } from '../../schemas/EmissionParamsSchema';
/**
 * Viterbi Algorithm
 *
 * @param observations - T x D matrix of observations
 * @param transitionMatrix - N x N transition probability matrix
 * @param emissionParams - Emission parameters for each state
 * @param initialProbs - Initial state probabilities
 * @returns Most likely state sequence and its log probability
 *
 * @example
 * ```typescript
 * const result = viterbi(observations, transitionMatrix, emissionParams, initialProbs);
 * console.log(result.path); // [0, 1, 2, 1, 0, ...]
 * ```
 */
export declare function viterbi(observations: number[][], transitionMatrix: number[][], emissionParams: EmissionParams[], initialProbs: number[]): ViterbiResult;