changes per code review

Author: mitzimorris

docsrc/examples/VI as Sampler Inits.ipynb

@@ -33,6 +33,44 @@
     "model = CmdStanModel(stan_file=stan_file)"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "The earnings dataset is a set of 1192 observations of annual earnings in USD, height in inches, and indicator for sex==male."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import json\n",
+    "with open(data_file, 'r') as fd:\n",
+    "    data_dict = json.load(fd)\n",
+    "print(data_dict.keys())\n",
+    "print(data_dict['N'])\n",
+    "for i in range(5):\n",
+    "    print(data_dict['earn'][i], data_dict['height'][i])\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "The \"logearn_height\" model regresses the log earnings on height."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "print(model.code())"
+   ]
+  },
   {
    "cell_type": "markdown",
    "metadata": {},
@@ -143,9 +181,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "On my machine, using the variational estimates to skip warmup phase I shows improved N_Eff/s (number of effective sampler per second) values for all parameters.\n",
-    "\n",
-    "This is a simple model run on a small dataset.  For complex models where the initial parameter values are far from the default initializations, this procedure may allow for faster and better adaptation during warmup."
+    "Using the variational estimates to skip warmup phase I shows improved N_Eff/s (number of effective sampler per second) values for all parameters.  This is a simple model run on a small dataset.  For complex models where the initial parameter values are far from the default initializations, this procedure may allow for faster and better adaptation during warmup."
    ]
   }
  ],