Word Relatedness: change the order of the knn functions to match the …

…implementation order
dattgoswami · Jan 5, 2023 · 451efb9 · 451efb9
1 parent 20539ec
commit 451efb9
Showing 1 changed file with 23 additions and 18 deletions.
diff --git a/hw_wordrelatedness.ipynb b/hw_wordrelatedness.ipynb
@@ -804,6 +804,21 @@
     "from sklearn.model_selection import train_test_split\n",
     "from sklearn.neighbors import KNeighborsRegressor\n",
     "\n",
+    "\n",
+    "def knn_represent(word1, word2, vsm_df):\n",
+    "    pass\n",
+    "    # Use `vsm_df` to get vectors for `word1` and `word2`\n",
+    "    # and concatenate them into a single vector:\n",
+    "    ##### YOUR CODE HERE\n",
+    "\n",
+    "\n",
+    "def knn_feature_matrix(vsm_df, rel_df):\n",
+    "    pass\n",
+    "    # Complete `knn_represent` and use it to create a feature\n",
+    "    # matrix `np.array`:\n",
+    "    ##### YOUR CODE HERE\n",
+    "    \n",
+    "\n",
     "def run_knn_score_model(vsm_df, dev_df, test_size=0.20):\n",
     "    pass\n",
     "\n",
@@ -830,22 +845,7 @@
     "\n",
     "    # Return the value of `score` for your model on the test split\n",
     "    # you created above:\n",
-    "    ##### YOUR CODE HERE\n",
-    "\n",
-    "\n",
-    "def knn_feature_matrix(vsm_df, rel_df):\n",
-    "    pass\n",
-    "    # Complete `knn_represent` and use it to create a feature\n",
-    "    # matrix `np.array`:\n",
-    "    ##### YOUR CODE HERE\n",
-    "\n",
-    "\n",
-    "def knn_represent(word1, word2, vsm_df):\n",
-    "    pass\n",
-    "    # Use `vsm_df` to get vectors for `word1` and `word2`\n",
-    "    # and concatenate them into a single vector:\n",
-    "    ##### YOUR CODE HERE\n",
-    "\n"
+    "    ##### YOUR CODE HERE\n"
    ]
   },
   {
@@ -1023,7 +1023,7 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
+   "display_name": "nlu",
    "language": "python",
    "name": "python3"
   },
@@ -1037,7 +1037,12 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.9.7"
+   "version": "3.9.12 (main, Apr  5 2022, 01:53:17) \n[Clang 12.0.0 ]"
+  },
+  "vscode": {
+   "interpreter": {
+    "hash": "81ef301a63437b26d6f879bc64646dce7fed7674109198cc71f09ca02787000d"
+   }
   },
   "widgets": {
    "state": {},