featuremapper/__init__.py
def _make_distribution(self, theta, i, j):
        """
        Answer a distribution instance for coords i and j.
        """        
        data = {feature: array[i,j] for feature, array in self._response_data.items()}
        count = {feature: array[i,j] for feature, array in self._counts.items()}
        distribution = Distribution(self._axis_bounds, self._axis_range, self._cyclic, data, count, self._total_count[i,j], self._total_value[i,j], theta)
        return distribution

        Answer a distribution instance for coords i and j.
        
Answer a distribution instance for coords i and j.
Answer a distribution instance for coords i and j .
def _make_distribution(self, theta, i, j):
        data = {feature: array[i,j] for feature, array in self._response_data.items()}
        count = {feature: array[i,j] for feature, array in self._counts.items()}
        distribution = Distribution(self._axis_bounds, self._axis_range, self._cyclic, data, count, self._total_count[i,j], self._total_value[i,j], theta)
        return distribution
def _make_distribution ( self , theta , i , j ) : data = { feature : array [ i , j ] for feature , array in self . _response_data . items ( ) } count = { feature : array [ i , j ] for feature , array in self . _counts . items ( ) } distribution = Distribution ( self . _axis_bounds , self . _axis_range , self . _cyclic , data , count , self . _total_count [ i , j ] , self . _total_value [ i , j ] , theta ) return distribution
Answer a distribution instance for coords i and j.
Answer a distribution instance for coords i and j .
"""
        Answer a distribution instance for coords i and j.
        """
self
theta
i
j