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aeon-toolkit · Nov 5, 2024 · 63d22ff · 63d22ff
1 parent 9f8bed6
commit 63d22ff
Showing 1 changed file with 31 additions and 45 deletions.
diff --git a/examples/forecasting/forecasting.ipynb b/examples/forecasting/forecasting.ipynb
@@ -61,7 +61,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": 1,
    "outputs": [
     {
      "name": "stdout",
@@ -104,15 +104,15 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": 2,
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
       " Possible data structures for input to forecaster  ['pd.Series', 'pd.DataFrame', 'np.ndarray']\n",
       "\n",
-      " Tags for BaseForecaster:  {'python_version': None, 'python_dependencies': None, 'cant_pickle': False, 'non_deterministic': False, 'algorithm_type': None, 'capability:missing_values': False, 'capability:multithreading': False, 'capability:univariate': True, 'capability:multivariate': False, 'X_inner_type': 'np.ndarray', 'y_inner_type': 'np.ndarray', 'fit_is_empty': False, 'requires_y': True}\n"
+      " Tags for BaseForecaster:  {'python_version': None, 'python_dependencies': None, 'cant_pickle': False, 'non_deterministic': False, 'algorithm_type': None, 'capability:missing_values': False, 'capability:multithreading': False, 'capability:univariate': True, 'capability:multivariate': False, 'X_inner_type': 'np.ndarray', 'fit_is_empty': False}\n"
      ]
     }
    ],
@@ -138,13 +138,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 15,
+   "execution_count": 3,
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "<class 'pandas.core.series.Series'>\n"
+      "<class 'numpy.ndarray'>\n"
      ]
     }
    ],
@@ -155,7 +155,7 @@
     "\n",
     "y = load_airline()\n",
     "print(type(y))\n",
-    "y2 = y.to_numpy()\n",
+    "y2 = pd.Series(y)\n",
     "y3 = pd.DataFrame(y)"
    ],
    "metadata": {
@@ -179,14 +179,18 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 16,
+   "execution_count": 4,
    "outputs": [
     {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "np.ndarray\n",
-      "432.0\n"
+     "ename": "ValueError",
+     "evalue": "Tag with name y_inner_type could not be found.",
+     "output_type": "error",
+     "traceback": [
+      "\u001B[1;31m---------------------------------------------------------------------------\u001B[0m",
+      "\u001B[1;31mValueError\u001B[0m                                Traceback (most recent call last)",
+      "Cell \u001B[1;32mIn[4], line 5\u001B[0m\n\u001B[0;32m      2\u001B[0m \u001B[38;5;28;01mfrom\u001B[39;00m \u001B[38;5;21;01maeon\u001B[39;00m\u001B[38;5;21;01m.\u001B[39;00m\u001B[38;5;21;01mforecasting\u001B[39;00m \u001B[38;5;28;01mimport\u001B[39;00m DummyForecaster\n\u001B[0;32m      4\u001B[0m d \u001B[38;5;241m=\u001B[39m DummyForecaster()\n\u001B[1;32m----> 5\u001B[0m \u001B[38;5;28mprint\u001B[39m(\u001B[43md\u001B[49m\u001B[38;5;241;43m.\u001B[39;49m\u001B[43mget_tag\u001B[49m\u001B[43m(\u001B[49m\u001B[38;5;124;43m\"\u001B[39;49m\u001B[38;5;124;43my_inner_type\u001B[39;49m\u001B[38;5;124;43m\"\u001B[39;49m\u001B[43m)\u001B[49m)\n\u001B[0;32m      6\u001B[0m d\u001B[38;5;241m.\u001B[39mfit(y)\n\u001B[0;32m      7\u001B[0m p \u001B[38;5;241m=\u001B[39m d\u001B[38;5;241m.\u001B[39mpredict()\n",
+      "File \u001B[1;32mC:\\Code\\aeon\\aeon\\base\\_base.py:269\u001B[0m, in \u001B[0;36mBaseAeonEstimator.get_tag\u001B[1;34m(self, tag_name, raise_error, tag_value_default)\u001B[0m\n\u001B[0;32m    266\u001B[0m tag_value \u001B[38;5;241m=\u001B[39m collected_tags\u001B[38;5;241m.\u001B[39mget(tag_name, tag_value_default)\n\u001B[0;32m    268\u001B[0m \u001B[38;5;28;01mif\u001B[39;00m raise_error \u001B[38;5;129;01mand\u001B[39;00m tag_name \u001B[38;5;129;01mnot\u001B[39;00m \u001B[38;5;129;01min\u001B[39;00m collected_tags\u001B[38;5;241m.\u001B[39mkeys():\n\u001B[1;32m--> 269\u001B[0m     \u001B[38;5;28;01mraise\u001B[39;00m \u001B[38;5;167;01mValueError\u001B[39;00m(\u001B[38;5;124mf\u001B[39m\u001B[38;5;124m\"\u001B[39m\u001B[38;5;124mTag with name \u001B[39m\u001B[38;5;132;01m{\u001B[39;00mtag_name\u001B[38;5;132;01m}\u001B[39;00m\u001B[38;5;124m could not be found.\u001B[39m\u001B[38;5;124m\"\u001B[39m)\n\u001B[0;32m    271\u001B[0m \u001B[38;5;28;01mreturn\u001B[39;00m tag_value\n",
+      "\u001B[1;31mValueError\u001B[0m: Tag with name y_inner_type could not be found."
      ]
     }
    ],
@@ -206,16 +210,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 17,
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "432.0\n"
-     ]
-    }
-   ],
+   "execution_count": null,
+   "outputs": [],
    "source": [
     "# forecast is equivalent to fit_predict in other estimators\n",
     "p2 = d.forecast(y)\n",
@@ -242,18 +238,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 19,
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "[451.67541971]\n",
-      "[505.91690237]\n",
-      "[505.91690237]\n"
-     ]
-    }
-   ],
+   "execution_count": null,
+   "outputs": [],
    "source": [
     "from aeon.forecasting import RegressionForecaster\n",
     "\n",
@@ -285,17 +271,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 20,
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "[5.38765716] ,\n",
-      " [17.05612701]\n"
-     ]
-    }
-   ],
+   "execution_count": null,
+   "outputs": [],
    "source": [
     "import numpy as np\n",
     "\n",
@@ -317,6 +294,15 @@
    "metadata": {
     "collapsed": false
    }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "outputs": [],
+   "source": [],
+   "metadata": {
+    "collapsed": false
+   }
   }
  ],
  "metadata": {