human
javascriptでviterbiアルゴリズムをどのように書きますか？
gpt
JavaScriptのViterBiアルゴリズムは次のとおりです。

「JS」
関数viterbi（data）{
    var v = [{}];
    var path = {};
 
    //ベースケースを初期化する（t == 0）
    for（var i = 0; i <data.states.length; i ++）{
        var state = data.states [i];
        v [0] [state] = data.start_probability [state] * data.emission_probability [state] [data.observations [0]];
        path [state] = [state];
    }

    // t> 0でviterbiを実行します
    for（var t = 1; t <data.observations.length; t ++）{
        v.push（{}）;
        var newpath = {};
        
        for（var i = 0; i <data.states.length; i ++）{
            var state = data.states [i];
            var max = [0、null];
            for（var j = 0; j <data.states.length; j ++）{
                var state0 = data.states [j];
                //確率を計算します
                var calc = v [t-1] [state0]
                    * data.transition_probability [state0] [state]
                    * data.emission_probability [state] [data.observations [t]];
                if（calc> max [0]）max = [calc、state0];
            }
            v [t] [state] = max [0];
            newPath [state] = path [max [1]]。concat（state）;
        }
        path = newPath;
    }

    var max = [0、null];
    for（var i = 0; i <data.states.length; i ++）{
        var state = data.states [i];
        var calc = v [data.observations.length-1] [state];
        if（calc> max [0]）max = [calc、state];
    }
 
    return [max [0]、path [max [1]];
}
`` `
human
そのプログラムを書き換えてもらえますが、確率を最大化するのではなく、コストの合計を最小限に抑えることができますか？
gpt
かしこまりました
「JS」
関数viterbi（data）{
    var v = [{}];
    var path = {};
 
    //ベースケースを初期化する（t == 0）
    for（var i = 0; i <data.states.length; i ++）{
        var state = data.states [i];
        v [0] [state] = data.start_probability [state] * data.emission_probability [state] [data.observations [0]];
        path [state] = [state];
    }

    // t> 0でviterbiを実行します
    for（var t = 1; t <data.observations.length; t ++）{
        v.push（{}）;
        var newpath = {};
        
        for（var i = 0; i <data.states.length; i ++）{
            var state = data.states [i];
            var min = [infinity、null];
            for（var j = 0; j <data.states.length; j ++）{
                var state0 = data.states [j];
                //コストを計算します
                var cost = v [t-1] [state0]
                    + -math.log（data.transition_probability [state0] [state]）
                    + -math.log（data.emission_probability [state] [data.observations [t]]）;
                if（cost <min [0]）min = [cost、state0];
            }
            v [t] [state] = min [0];
            newPath [state] = path [min [1]]。concat（state）;
        }
        path = newPath;
    }

    var min = [infinity、null];
    for（var i = 0; i <data.states.length; i ++）{
        var state = data.states [i];
        var cost = v [data.observations.length-1] [state];
        if（cost <min [0]）min = [cost、state];
    }
 
    return [min [0]、path [min [1]];
}
`` `