def _quantile(self, p):
loc = tf.convert_to_tensor(self.loc)
scale = tf.convert_to_tensor(self.scale)
power = tf.convert_to_tensor(self.power)
ipower = tf.math.reciprocal(power)
quantile = tf.where(
p < 0.5, loc -
tf.math.pow(tfp_math.igammacinv(ipower, 2. * p), ipower) * scale,
loc +
tf.math.pow(tfp_math.igammainv(ipower, 2. * p - 1.), ipower) *
scale)
return quantile
def _quantile(self, p):
return tf.math.reciprocal(tfp_math.igammacinv(self.concentration,
p)) * self.scale