Link to FixedNoiseGaussianLikelihood in tutorial
"\n",
"```python\n",
"covar_x = self.rbf_kernel_module(x) + self.white_noise_module(x)\n",
- "```"
+ "```\n",
+ "\n",
+ "\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",
+ "\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."
]
},
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"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
- "version": "3.7.3"
+ "version": "3.7.0"
}
},
"nbformat": 4,
