(self, sequence, control_values,
                                 disable_conditioning)
return self._evaluate_log_likelihood(
        [sequence], control_events=control_events)[0]
Evaluate the log likelihood of a performance.

    Args:
      sequence: The Performance object for which to evaluate the log likelihood.
      control_values: List of (single) values for all control signal.
      disable_conditioning: Whether or not to disable optional conditioning. If
          True, disable conditioning. If False, do not disable. None when no
          conditioning or it is not optional.


    Returns:
      The log likelihood of `sequence` under this model.
Evaluate the log likelihood of a performance.
Evaluate the log likelihood of a performance .
def performance_log_likelihood(self, sequence, control_values,
                                 disable_conditioning):
    """Evaluate the log likelihood of a performance.

    Args:
      sequence: The Performance object for which to evaluate the log likelihood.
      control_values: List of (single) values for all control signal.
      disable_conditioning: Whether or not to disable optional conditioning. If
          True, disable conditioning. If False, do not disable. None when no
          conditioning or it is not optional.


    Returns:
      The log likelihood of `sequence` under this model.
    """
    if control_values:
      control_event = tuple(control_values)
      if disable_conditioning is not None:
        control_event = (disable_conditioning, control_event)
      control_events = [control_event] * len(sequence)
    else:
      control_events = None

    return self._evaluate_log_likelihood(
        [sequence], control_events=control_events)[0]
def performance_log_likelihood ( self , sequence , control_values , disable_conditioning ) : if control_values : control_event = tuple ( control_values ) if disable_conditioning is not None : control_event = ( disable_conditioning , control_event ) control_events = [ control_event ] * len ( sequence ) else : control_events = None return self . _evaluate_log_likelihood ( [ sequence ] , control_events = control_events ) [ 0 ]