Remove highdim for gaussian nb

ogrisel · ogrisel · commit 522c9725521b · 2013-06-24T15:10:56.000-05:00
diff --git a/notebooks/04A_supervised_classification.ipynb b/notebooks/04A_supervised_classification.ipynb
@@ -201,8 +201,7 @@
       "One good method to keep in mind is Gaussian Naive Bayes.  It is a *generative*\n",
       "classifier which fits an axis-aligned multi-dimensional Gaussian distribution to\n",
       "each training label, and uses this to quickly give a rough classification.  It\n",
-      "is generally not sufficiently accurate for real-world data, but (especially in\n",
-      "high dimensions) can perform surprisingly well."
+      "is generally not sufficiently accurate for real-world data, but can perform surprisingly well."
      ]
     },
     {

Original file line number	Diff line number	Diff line change
`@@ -201,8 +201,7 @@`
`201`	`201`	`"One good method to keep in mind is Gaussian Naive Bayes. It is a generative\n",`
`202`	`202`	`"classifier which fits an axis-aligned multi-dimensional Gaussian distribution to\n",`
`203`	`203`	`"each training label, and uses this to quickly give a rough classification. It\n",`
`204`		`- "is generally not sufficiently accurate for real-world data, but (especially in\n",`
`205`		`- "high dimensions) can perform surprisingly well."`
	`204`	`+ "is generally not sufficiently accurate for real-world data, but can perform surprisingly well."`
`206`	`205`	`]`
`207`	`206`	`},`
`208`	`207`	`{`