cdt/generators/causal_mechanisms.py
def mechanism(self, causes):
        """Mechanism function."""
        result = np.zeros((self.points, 1))
        for i in range(self.points):
            pre_add_effect = 0
            for c in range(causes.shape[1]):
                pre_add_effect += causes[i, c]
            pre_add_effect += self.noise[i]

            result[i, 0] = self.a * self.b * \
                (pre_add_effect + self.c)/(1 + abs(self.b*(pre_add_effect + self.c)))

        return result
def mechanism(self, causes):
        """Mechanism function."""
        result = np.zeros((self.points, 1))
        for i in range(self.points):
            pre_add_effect = 0
            for c in range(causes.shape[1]):
                pre_add_effect += causes[i, c]
            pre_add_effect += self.noise[i]

            result[i, 0] = self.a * self.b * \
                (pre_add_effect + self.c)/(1 + abs(self.b*(pre_add_effect + self.c)))

        return result
def mechanism ( self , causes ) : result = np . zeros ( ( self . points , 1 ) ) for i in range ( self . points ) : pre_add_effect = 0 for c in range ( causes . shape [ 1 ] ) : pre_add_effect += causes [ i , c ] pre_add_effect += self . noise [ i ] result [ i , 0 ] = self . a * self . b * ( pre_add_effect + self . c ) / ( 1 + abs ( self . b * ( pre_add_effect + self . c ) ) ) return result
Mechanism function.
Mechanism function .