tutorial should read 'homoskedastic noise model'
This is consistent with elsewhere in the docs and the definition given in context
"\n",
"### The likelihood\n",
"\n",
- "The simplest likelihood for regression is the `gpytorch.likelihoods.GaussianLikelihood`. This assumes a heteroskedastsic noise model (i.e. all inputs have the same observational noise).\n",
+ "The simplest likelihood for regression is the `gpytorch.likelihoods.GaussianLikelihood`. This assumes a homoskedastic noise model (i.e. all inputs have the same observational noise).\n",
"\n",
"There are other options for exact GP regression, such as the [FixedNoiseGaussianLikelihood](http://docs.gpytorch.ai/likelihoods.html#fixednoisegaussianlikelihood), which assigns a different observed noise value to different training inputs."
]
