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def Bio::HMM::DynamicProgramming::ScaledDPAlgorithms::__init__ (   self,
  markov_model,
  sequence 
)

Initialize the scaled approach to calculating probabilities.
Arguments:

o markov_model -- The current Markov model we are working with.

o sequence -- A TrainingSequence object that must have a
set of emissions to work with.

Reimplemented from Bio::HMM::DynamicProgramming::AbstractDPAlgorithms.

Definition at line 168 of file DynamicProgramming.py.

00168                                               :
        """Initialize the scaled approach to calculating probabilities.
        Arguments:

        o markov_model -- The current Markov model we are working with.

        o sequence -- A TrainingSequence object that must have a
        set of emissions to work with.
        """
        AbstractDPAlgorithms.__init__(self, markov_model, sequence)

        self._s_values = {}

    def _calculate_s_value(self, seq_pos, previous_vars):


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