tensorflow_probability/python/distributions/zipf.py
def _hat_integral_inverse(self, x):
    """Inverse function of _hat_integral."""
    x = tf.cast(x, self.power.dtype)
    t = self.power - 1.
    return tf.math.expm1(-(tf.math.log(t) + tf.math.log(x)) / t)
def _hat_integral_inverse(self, x):
    """Inverse function of _hat_integral."""
    x = tf.cast(x, self.power.dtype)
    t = self.power - 1.
    return tf.math.expm1(-(tf.math.log(t) + tf.math.log(x)) / t)
def _hat_integral_inverse ( self , x ) : x = tf . cast ( x , self . power . dtype ) t = self . power - 1. return tf . math . expm1 ( - ( tf . math . log ( t ) + tf . math . log ( x ) ) / t )
Inverse function of _hat_integral.
Inverse function of _hat_integral .