mcmc_inversion.py
def predict_observations(self, m):
        """
        Calculates the set of observations that are predicted for model m,
        given the physics of the problem in g. d_predict = G * m
        """
        d_predicted = self.g.dot(m)
        return d_predicted

        Calculates the set of observations that are predicted for model m,
        given the physics of the problem in g. d_predict = G * m
        
Calculates the set of observations that are predicted for model m,
given the physics of the problem in g. d_predict = G * m
Calculates the set of observations that are predicted for model m given the physics of the problem in g . d_predict = G * m
def predict_observations(self, m):
        d_predicted = self.g.dot(m)
        return d_predicted
def predict_observations ( self , m ) : d_predicted = self . g . dot ( m ) return d_predicted
Calculates the set of observations that are predicted for model m,
given the physics of the problem in g. d_predict = G * m
Calculates the set of observations that are predicted for model m given the physics of the problem in g . d_predict = G * m
"""
        Calculates the set of observations that are predicted for model m,
        given the physics of the problem in g. d_predict = G * m
        """
self
m