copulas/univariate/base.py
def to_dict(self):
        """Returns parameters to replicate the distribution."""
        result = {
            'type': get_qualified_name(self),
            'fitted': self.fitted,
            'constant_value': self.constant_value
        }

        if not self.fitted:
            return result

        result.update(self._fit_params())
        return result
Returns parameters to replicate the distribution.
Returns parameters to replicate the distribution.
Returns parameters to replicate the distribution .
def to_dict(self):
        result = {
            'type': get_qualified_name(self),
            'fitted': self.fitted,
            'constant_value': self.constant_value
        }
        if not self.fitted:
            return result
        result.update(self._fit_params())
        return result
def to_dict ( self ) : result = { 'type' : get_qualified_name ( self ) , 'fitted' : self . fitted , 'constant_value' : self . constant_value } if not self . fitted : return result result . update ( self . _fit_params ( ) ) return result
Returns parameters to replicate the distribution.
Returns parameters to replicate the distribution .
"""Returns parameters to replicate the distribution."""
self