Merge pull request #2546 from partev/patch-1

Balandat · web-flow · commit e450495183bf · 2024-07-07T11:24:46.000-07:00
fix broken link in Simple_GP_Regression.ipynb
diff --git a/examples/01_Exact_GPs/Simple_GP_Regression.ipynb b/examples/01_Exact_GPs/Simple_GP_Regression.ipynb
@@ -112,7 +112,7 @@
     "\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."
+    "There are other options for exact GP regression, such as the [FixedNoiseGaussianLikelihood](https://docs.gpytorch.ai/en/latest/likelihoods.html#fixednoisegaussianlikelihood), which assigns a different observed noise value to different training inputs."
    ]
   },
   {

Original file line number	Diff line number	Diff line change
`@@ -112,7 +112,7 @@`
`112`	`112`	`"\n",`
`113`	`113`	"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",
`114`	`114`	`"\n",`
`115`		`- "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."`
	`115`	`+ "There are other options for exact GP regression, such as the [FixedNoiseGaussianLikelihood](https://docs.gpytorch.ai/en/latest/likelihoods.html#fixednoisegaussianlikelihood), which assigns a different observed noise value to different training inputs."`
`116`	`116`	`]`
`117`	`117`	`},`
`118`	`118`	`{`