change language in regression tutorial
"\n",
"## Inference\n",
"\n",
- "To do inference we'll use stochastic variational inference (SVI) (for an introduction to SVI, see [SVI Part I](svi_part_i)). Just like in the non-Bayesian linear regression, each iteration of our training loop will take a gradient step, with the difference that in this case, we'll use the ELBO objective instead of the MSE loss.\n",
- "\n",
- "The Pyro backend will construct the ELBO objective function for us; this logic is handled by the `SVI` class:"
+ "To do inference we'll use stochastic variational inference (SVI) (for an introduction to SVI, see [SVI Part I](svi_part_i)). Just like in the non-Bayesian linear regression, each iteration of our training loop will take a gradient step, with the difference that in this case, we'll use the ELBO objective instead of the MSE loss by constructing a `Trace_ELBO` object that we pass to `SVI`. "
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
- "Finally, let's evaluate our model by checking its predictive accuracy on new test data. This is known as _point evaluation_. We'll sample 20 neural nets from our posterior and run them on the new test data, then average across their predictions and calculate the MSE of the predicted values compared to the ground truth."
+ "Finally, let's evaluate our model by checking its predictive accuracy on new test data. This is known as _point evaluation_. We'll sample 20 neural nets from our posterior, run them on the test data, then average across their predictions and calculate the MSE of the predicted values compared to the ground truth."
]
},
{
