Minor fixes.

538.json had some settings that were apparently made obsolete.

Somehow a cell in the chapter was set to raw.

06_Multivariate_Kalman_Filters.ipynb

@@ -266,7 +266,7 @@
    ]
   },
   {
-   "cell_type": "raw",
+   "cell_type": "markdown",
    "metadata": {},
    "source": [
     "The techniques in the last chapter are very powerful, but they only work in one dimension. The gaussians represent a mean and variance that are scalars - real numbers. They provide no way to represent multidimensional data, such as the position of a dog in a field. You may retort that you could use two Kalman filters for that case, one tracks the x coordinate and the other tracks the y coordinate. That does work in some cases, but put that thought aside, because soon you will see some enormous benefits to implementing the multidimensional case.\n",

code/538.json

@@ -1,6 +1,5 @@
 {
   "lines.linewidth": 2.0,
-  "examples.download": true,
   "patch.linewidth": 0.5,
   "legend.fancybox": true,
   "axes.color_cycle": [
@@ -23,7 +22,6 @@
   "axes.grid": true,
   "patch.edgecolor": "#f0f0f0",
   "axes.titlesize": "x-large",
-  "svg.embed_char_paths": "path",
   "examples.directory": "",
   "figure.facecolor": "#ffffff",
   "grid.linestyle": "-",