Update Multitask_GP_Regression.ipynb
Corrects typo.
"2. Rather than just using a RBFKernel, we're using that in conjunction with a `MultitaskKernel`. This gives us the covariance function described in the introduction.\n",
"3. We're using a `MultitaskMultivariateNormal` and `MultitaskGaussianLikelihood`. This allows us to deal with the predictions/outputs in a nice way. For example, when we call MultitaskMultivariateNormal.mean, we get a `n x num_tasks` matrix back.\n",
"\n",
- "You may also notice that we don't use a ScaleKernel, since the IndexKernel will do some scaling for us. (This way we're not overparameterizing the kernel.)"
+ "You may also notice that we don't use a ScaleKernel, since the MultitaskKernel will do some scaling for us. (This way we're not overparameterizing the kernel.)"
]
},
{
