Added windows compatibility in ch3 nb10

Author: jatinpapreja

Ch3/10_Visualizing_Embeddings_using_Tensorboard.ipynb

@@ -9,72 +9,17 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 1,
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Collecting tensorflow==1.14.0\n",
-      "  Downloading tensorflow-1.14.0-cp36-cp36m-manylinux1_x86_64.whl (109.2 MB)\n",
-      "\u001b[K     |████████████████████████████████| 109.2 MB 4.3 kB/s  eta 0:00:01\n",
-      "\u001b[?25hCollecting google-pasta>=0.1.6\n",
-      "  Using cached google_pasta-0.2.0-py3-none-any.whl (57 kB)\n",
-      "Collecting grpcio>=1.8.6\n",
-      "  Using cached grpcio-1.28.1-cp36-cp36m-manylinux2010_x86_64.whl (2.8 MB)\n",
-      "Collecting keras-applications>=1.0.6\n",
-      "  Using cached Keras_Applications-1.0.8-py3-none-any.whl (50 kB)\n",
-      "Collecting astor>=0.6.0\n",
-      "  Using cached astor-0.8.1-py2.py3-none-any.whl (27 kB)\n",
-      "Collecting protobuf>=3.6.1\n",
-      "  Using cached protobuf-3.11.3-cp36-cp36m-manylinux1_x86_64.whl (1.3 MB)\n",
-      "Collecting tensorflow-estimator<1.15.0rc0,>=1.14.0rc0\n",
-      "  Downloading tensorflow_estimator-1.14.0-py2.py3-none-any.whl (488 kB)\n",
-      "\u001b[K     |████████████████████████████████| 488 kB 3.1 MB/s eta 0:00:01\n",
-      "\u001b[?25hCollecting gast>=0.2.0\n",
-      "  Downloading gast-0.3.3-py2.py3-none-any.whl (9.7 kB)\n",
-      "Processing /home/etherealenvy/.cache/pip/wheels/93/2a/eb/e58dbcbc963549ee4f065ff80a59f274cc7210b6eab962acdc/termcolor-1.1.0-py3-none-any.whl\n",
-      "Collecting keras-preprocessing>=1.0.5\n",
-      "  Downloading Keras_Preprocessing-1.1.1-py2.py3-none-any.whl (42 kB)\n",
-      "\u001b[K     |████████████████████████████████| 42 kB 125 kB/s eta 0:00:011\n",
-      "\u001b[?25hRequirement already satisfied: wheel>=0.26 in /home/etherealenvy/miniconda3/envs/practicalnlp/lib/python3.6/site-packages (from tensorflow==1.14.0) (0.34.2)\n",
-      "Processing /home/etherealenvy/.cache/pip/wheels/c3/af/84/3962a6af7b4ab336e951b7877dcfb758cf94548bb1771e0679/absl_py-0.9.0-py3-none-any.whl\n",
-      "Requirement already satisfied: numpy<2.0,>=1.14.5 in /home/etherealenvy/miniconda3/envs/practicalnlp/lib/python3.6/site-packages (from tensorflow==1.14.0) (1.18.4)\n",
-      "Collecting tensorboard<1.15.0,>=1.14.0\n",
-      "  Downloading tensorboard-1.14.0-py3-none-any.whl (3.1 MB)\n",
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-      "\u001b[?25hRequirement already satisfied: six>=1.10.0 in /home/etherealenvy/miniconda3/envs/practicalnlp/lib/python3.6/site-packages (from tensorflow==1.14.0) (1.14.0)\n",
-      "Processing /home/etherealenvy/.cache/pip/wheels/32/42/7f/23cae9ff6ef66798d00dc5d659088e57dbba01566f6c60db63/wrapt-1.12.1-cp36-cp36m-linux_x86_64.whl\n",
-      "Collecting h5py\n",
-      "  Using cached h5py-2.10.0-cp36-cp36m-manylinux1_x86_64.whl (2.9 MB)\n",
-      "Requirement already satisfied: setuptools in /home/etherealenvy/.local/lib/python3.6/site-packages (from protobuf>=3.6.1->tensorflow==1.14.0) (46.1.3)\n",
-      "Requirement already satisfied: werkzeug>=0.11.15 in /home/etherealenvy/.local/lib/python3.6/site-packages (from tensorboard<1.15.0,>=1.14.0->tensorflow==1.14.0) (1.0.1)\n",
-      "Collecting markdown>=2.6.8\n",
-      "  Downloading Markdown-3.2.2-py3-none-any.whl (88 kB)\n",
-      "\u001b[K     |████████████████████████████████| 88 kB 711 kB/s eta 0:00:011\n",
-      "\u001b[?25hRequirement already satisfied: importlib-metadata; python_version < \"3.8\" in /home/etherealenvy/miniconda3/envs/practicalnlp/lib/python3.6/site-packages (from markdown>=2.6.8->tensorboard<1.15.0,>=1.14.0->tensorflow==1.14.0) (1.5.0)\n",
-      "Requirement already satisfied: zipp>=0.5 in /home/etherealenvy/miniconda3/envs/practicalnlp/lib/python3.6/site-packages (from importlib-metadata; python_version < \"3.8\"->markdown>=2.6.8->tensorboard<1.15.0,>=1.14.0->tensorflow==1.14.0) (3.1.0)\n",
-      "Installing collected packages: google-pasta, grpcio, h5py, keras-applications, astor, protobuf, tensorflow-estimator, gast, termcolor, keras-preprocessing, absl-py, markdown, tensorboard, wrapt, tensorflow\n",
-      "Successfully installed absl-py-0.9.0 astor-0.8.1 gast-0.3.3 google-pasta-0.2.0 grpcio-1.28.1 h5py-2.10.0 keras-applications-1.0.8 keras-preprocessing-1.1.1 markdown-3.2.2 protobuf-3.11.3 tensorboard-1.14.0 tensorflow-1.14.0 tensorflow-estimator-1.14.0 termcolor-1.1.0 wrapt-1.12.1\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "#installing the required libraries\n",
     "!pip install tensorflow==1.14.0"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -93,28 +38,28 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [],
    "source": [
     "#Loading the model\n",
-    "filename = \"File-Path\"\n",
-    "model = KeyedVectors.load_word2vec_format(filename, binary=True)\n"
+    "cwd=os.getcwd() \n",
+    "model = KeyedVectors.load_word2vec_format(cwd+'\\Models\\word2vec_cbow.bin', binary=True)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 4,
    "metadata": {},
    "outputs": [],
    "source": [
     "#get the model's vocabulary size\n",
-    "max_size = len(model.wv.vocab)-1\n"
+    "max_size = len(model.wv.vocab)-1"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": 5,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -124,7 +69,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 16,
+   "execution_count": 6,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -133,7 +78,7 @@
     "if not os.path.exists('projections'):\n",
     "    os.makedirs('projections')\n",
     "    \n",
-    "with open(\"projections/metadata.tsv\", 'w+') as file_metadata:\n",
+    "with open(\"projections/metadata.tsv\", 'w+',encoding=\"utf-8\") as file_metadata: #changed    added encoding=\"utf-8\"\n",
     "    \n",
     "    for i, word in enumerate(model.wv.index2word[:max_size]):\n",
     "        \n",
@@ -146,7 +91,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 17,
+   "execution_count": 7,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -156,7 +101,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 18,
+   "execution_count": 8,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -167,7 +112,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 19,
+   "execution_count": 9,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -177,7 +122,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 20,
+   "execution_count": 10,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -187,7 +132,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 21,
+   "execution_count": 11,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -197,7 +142,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 23,
+   "execution_count": 12,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -208,7 +153,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 24,
+   "execution_count": 13,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -219,7 +164,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 25,
+   "execution_count": 14,
    "metadata": {},
    "outputs": [
     {
@@ -228,7 +173,7 @@
        "'projections/model.ckpt-161017'"
       ]
      },
-     "execution_count": 25,
+     "execution_count": 14,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -262,13 +207,6 @@
     "Output when we search for a specific word in this case \"human\" and isolate only those points\n",
     "![TensorBoard-4](Images/TensorBoard-4.png)"
    ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
   }
  ],
  "metadata": {
@@ -287,7 +225,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.10"
+   "version": "3.7.0"
   }
  },
  "nbformat": 4,