Merge pull request #3 from morganjwilliams/master

Update datasets for binder image, paths to data files
core-skills · Dec 14, 2020 · b8ac401 · b8ac401
2 parents 6231692 + 6fe6822
commit b8ac401
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diff --git a/README.md b/README.md
@@ -23,8 +23,8 @@
 | 11:00 - 11:45 | 13:00 - 13:45 | *Lunch*                                                |
 | 11:45 - 13:15 | 13:45 - 15:15 | **Session 3: Unsupervised Learning**                   |
 | 13:15 - 13:30 | 15:15 - 15:30 | *Afternoon Tea*                                        |
-| 13:30 - 14:45 | 15:30 - 16:45 | **Session 4: Supervised Learning*                      |
-| 14:45 - 15:00 | 16:45 - 17:00 | [**Closeout**                                          |
+| 13:30 - 14:45 | 15:30 - 16:45 | **Session 4: Supervised Learning**                     |
+| 14:45 - 15:00 | 16:45 - 17:00 | **Closeout**                                           |
 
 <!---
 ## Instructions for setting up interactive Google Colab notebooks

diff --git a/notebooks/12.2.1-Gensim word vector visualization.ipynb b/notebooks/12.2.1-Gensim word vector visualization.ipynb
@@ -73,7 +73,8 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "data_path = r'C:\\Users\\22917746\\Desktop\\UWA repos\\CORE\\12-text-processing\\data\\glove.6B.50d.txt'"
+    "from pathlib import Path\n",
+    "data_path = Path('../data/glove.6B.50d.txt').resolve()"
    ]
   },
   {
@@ -793,9 +794,9 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.5"
+   "version": "3.7.7"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 1
+ "nbformat_minor": 4
 }
diff --git a/notebooks/12.2.2-WordEmbeddings.ipynb b/notebooks/12.2.2-WordEmbeddings.ipynb
@@ -196,7 +196,6 @@
      "height": 1000
     },
     "colab_type": "code",
-    "collapsed": true,
     "executionInfo": {
      "elapsed": 1301603,
      "status": "ok",
@@ -229,11 +228,33 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 1,
    "metadata": {},
    "outputs": [],
    "source": [
-    "model = gensim.models.Word2Vec.load('../data/word2vec/word2vec_reviews.bin')"
+    "from pathlib import Path\n",
+    "modelpath = Path('../data/word2vec/word2vec_reviews.bin').resolve()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [
+    {
+     "ename": "NameError",
+     "evalue": "name 'gensim' is not defined",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[1;31mNameError\u001b[0m                                 Traceback (most recent call last)",
+      "\u001b[1;32m<ipython-input-2-c32b7099fcf8>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[0mmodel\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mgensim\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mmodels\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mWord2Vec\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mload\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mstr\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mmodelpath\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m",
+      "\u001b[1;31mNameError\u001b[0m: name 'gensim' is not defined"
+     ]
+    }
+   ],
+   "source": [
+    "model = gensim.models.Word2Vec.load(str(modelpath))"
    ]
   },
   {
@@ -1697,9 +1718,9 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.5"
+   "version": "3.7.7"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 1
+ "nbformat_minor": 4
 }