comments in airline

experiments/01_airline.ipynb

@@ -1379,21 +1379,12 @@
     "editable": true
    },
    "source": [
+    "```python\n",
     "with Timer() as t:\n",
-    "    xgb_clf_pipeline.fit(X_train, y_train)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {
-    "collapsed": false,
-    "deletable": true,
-    "editable": true
-   },
-   "source": [
-    "results_dict['xgb']={\n",
-    "    'train_time': t.interval\n",
-    "}"
+    "    xgb_clf_pipeline.fit(X_train, y_train)\n",
+    "\n",
+    "results_dict['xgb']={ 'train_time': t.interval }\n",
+    "```"
    ]
   },
   {
@@ -1600,19 +1591,12 @@
     "editable": true
    },
    "source": [
+    "```python\n",
     "with Timer() as t:\n",
-    "    y_prob_xgb = np.clip(xgb_clf_pipeline.predict(X_test), 0.0001, 0.9999)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {
-    "collapsed": false,
-    "deletable": true,
-    "editable": true
-   },
-   "source": [
-    "results_dict['xgb']['test_time'] = t.interval"
+    "    y_prob_xgb = np.clip(xgb_clf_pipeline.predict(X_test), 0.0001, 0.9999)\n",
+    "    \n",
+    "results_dict['xgb']['test_time'] = t.interval\n",
+    "```"
    ]
   },
   {
@@ -1743,20 +1727,13 @@
     "editable": true
    },
    "source": [
+    "```python\n",
     "report_xgb = classification_metrics_binary(y_test, y_pred_xgb)\n",
     "report2_xgb = classification_metrics_binary_prob(y_test, y_prob_xgb)\n",
-    "report_xgb.update(report2_xgb)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {
-    "collapsed": false,
-    "deletable": true,
-    "editable": true
-   },
-   "source": [
-    "results_dict['xgb']['performance'] = report_xgb"
+    "report_xgb.update(report2_xgb)\n",
+    "\n",
+    "results_dict['xgb']['performance'] = report_xgb\n",
+    "```"
    ]
   },
   {