给定一类P(x_i | y)的特征的经验对数概率

时间:2019-07-20 08:51:26

标签: python-3.x machine-learning naivebayes

我需要标签预测的主要功能。

通过使用clf.feature_log_prob_,clf是多项式NB分类器,它返回给定类P(x_i | y)的特征的经验对数概率

class Program
{
    const UInt32 WM_KEYDOWN = 0x0100;
    const UInt32 WM_KEYUP = 0x0101;
    const int VK_CONTROL = 0x11;
    const int VK_HOME = 0x24;
    const int VK_SPACE = 0x20;

    [DllImport("user32.dll")]
    static extern bool PostMessage(IntPtr hWnd, UInt32 Msg, int wParam, int lParam);

    [STAThread]
    static void Main()
    {
        while (true)
        {
            var stop = false;
            var key = Console.ReadKey(true).Key;
            switch (key)
            {
                case ConsoleKey.Enter:
                    {
                        var aimp = Process.GetProcessById(13848); // by id for debugging purposes
                        var keydown = PostMessage(aimp.MainWindowHandle, WM_KEYDOWN, VK_SPACE, 0);
                        var keyup = PostMessage(aimp.MainWindowHandle, WM_KEYUP, VK_SPACE, 0);

                        Console.WriteLine($"Keydown: {keydown}\tKeyup: {keyup}");

                        break;
                    }
                default:
                    {
                        stop = true;

                        break;
                    }
            }
            if (stop) break;
        }
    }
}

我希望获得对y预测非常重要的前20个功能。

0 个答案:

没有答案