Update gpytorch/models/approximate_gp.py
@@ -11,7 +11,7 @@ class ApproximateGP(GP, _PyroMixin):
This base class can be used to implement most inducing point methods where the
variational parameters are learned directly.
- :param ~gpytorch.variational._VariationalStrategy train_inputs: The strategy that determines
+ :param ~gpytorch.variational._VariationalStrategy variational_strategy: The strategy that determines
how the model marginalizes over the variational distribution (over inducing points)
to produce the approximate posterior distribution (over data)
