如何使用sklearn HMM来计算观察数据的可能性

1 回答

• 2

  使用score（）函数 . 从代码：

  def score(self, X, lengths=None):
  """Compute the log probability under the model.
  
      Parameters
      ----------
      X : array-like, shape (n_samples, n_features)
          Feature matrix of individual samples.
  
      lengths : array-like of integers, shape (n_sequences, ), optional
          Lengths of the individual sequences in ``X``. The sum of
          these should be ``n_samples``.
  
      Returns
      -------
      logprob : float
          Log likelihood of ``X``.
  

  回复于 2024-05-02T21:27:39+08:00