minor fixes
This commit is contained in:
		| @ -11,9 +11,31 @@ | ||||
|   }, | ||||
|   { | ||||
|    "cell_type": "code", | ||||
|    "execution_count": null, | ||||
|    "execution_count": 1, | ||||
|    "metadata": {}, | ||||
|    "outputs": [], | ||||
|    "outputs": [ | ||||
|     { | ||||
|      "name": "stderr", | ||||
|      "output_type": "stream", | ||||
|      "text": [ | ||||
|       "Using TensorFlow backend.\n" | ||||
|      ] | ||||
|     }, | ||||
|     { | ||||
|      "name": "stdout", | ||||
|      "output_type": "stream", | ||||
|      "text": [ | ||||
|       "[nltk_data] Downloading package punkt to /home/jonas/nltk_data...\n", | ||||
|       "[nltk_data]   Package punkt is already up-to-date!\n", | ||||
|       "[nltk_data] Downloading package averaged_perceptron_tagger to\n", | ||||
|       "[nltk_data]     /home/jonas/nltk_data...\n", | ||||
|       "[nltk_data]   Package averaged_perceptron_tagger is already up-to-\n", | ||||
|       "[nltk_data]       date!\n", | ||||
|       "[nltk_data] Downloading package wordnet to /home/jonas/nltk_data...\n", | ||||
|       "[nltk_data]   Package wordnet is already up-to-date!\n" | ||||
|      ] | ||||
|     } | ||||
|    ], | ||||
|    "source": [ | ||||
|     "import simple_twitter_learning as stl\n", | ||||
|     "import glob\n", | ||||
| @ -37,7 +59,7 @@ | ||||
|   }, | ||||
|   { | ||||
|    "cell_type": "code", | ||||
|    "execution_count": null, | ||||
|    "execution_count": 2, | ||||
|    "metadata": {}, | ||||
|    "outputs": [], | ||||
|    "source": [ | ||||
| @ -92,9 +114,48 @@ | ||||
|   }, | ||||
|   { | ||||
|    "cell_type": "code", | ||||
|    "execution_count": null, | ||||
|    "execution_count": 3, | ||||
|    "metadata": {}, | ||||
|    "outputs": [], | ||||
|    "outputs": [ | ||||
|     { | ||||
|      "data": { | ||||
|       "text/markdown": [ | ||||
|        "----" | ||||
|       ], | ||||
|       "text/plain": [ | ||||
|        "<IPython.core.display.Markdown object>" | ||||
|       ] | ||||
|      }, | ||||
|      "metadata": {}, | ||||
|      "output_type": "display_data" | ||||
|     }, | ||||
|     { | ||||
|      "data": { | ||||
|       "text/markdown": [ | ||||
|        "## User Interface" | ||||
|       ], | ||||
|       "text/plain": [ | ||||
|        "<IPython.core.display.Markdown object>" | ||||
|       ] | ||||
|      }, | ||||
|      "metadata": {}, | ||||
|      "output_type": "display_data" | ||||
|     }, | ||||
|     { | ||||
|      "data": { | ||||
|       "application/vnd.jupyter.widget-view+json": { | ||||
|        "model_id": "4fd5552e6a024dcaa0f35a594c77ae99", | ||||
|        "version_major": 2, | ||||
|        "version_minor": 0 | ||||
|       }, | ||||
|       "text/plain": [ | ||||
|        "Tab(children=(VBox(children=(HBox(children=(Text(value='./data_en/', description='root_path'), Button(descript…" | ||||
|       ] | ||||
|      }, | ||||
|      "metadata": {}, | ||||
|      "output_type": "display_data" | ||||
|     } | ||||
|    ], | ||||
|    "source": [ | ||||
|     "mp(\"----\")\n", | ||||
|     "mp(\"## User Interface\")\n", | ||||
| @ -174,6 +235,18 @@ | ||||
|     "                ]\n", | ||||
|     "            ], \n", | ||||
|     "            \"train\" )\n", | ||||
|     "create_area(\"playground 😎\",\n", | ||||
|     "           [\n", | ||||
|     "               [\n", | ||||
|     "                   (widgets.Text(),\"test_input\"),\n", | ||||
|     "                   (widgets.HTML(),\"prediction\")\n", | ||||
|     "               ],\n", | ||||
|     "               [\n", | ||||
|     "                   (widgets.Checkbox(),\"show_sorted_list\")\n", | ||||
|     "               ]\n", | ||||
|     "           ],\n", | ||||
|     "           \"playground\")\n", | ||||
|     "\n", | ||||
|     "tab_manager" | ||||
|    ] | ||||
|   }, | ||||
| @ -187,7 +260,7 @@ | ||||
|   }, | ||||
|   { | ||||
|    "cell_type": "code", | ||||
|    "execution_count": null, | ||||
|    "execution_count": 4, | ||||
|    "metadata": {}, | ||||
|    "outputs": [], | ||||
|    "source": [ | ||||
| @ -205,7 +278,7 @@ | ||||
|   }, | ||||
|   { | ||||
|    "cell_type": "code", | ||||
|    "execution_count": null, | ||||
|    "execution_count": 5, | ||||
|    "metadata": {}, | ||||
|    "outputs": [], | ||||
|    "source": [ | ||||
| @ -293,7 +366,7 @@ | ||||
|   }, | ||||
|   { | ||||
|    "cell_type": "code", | ||||
|    "execution_count": null, | ||||
|    "execution_count": 6, | ||||
|    "metadata": {}, | ||||
|    "outputs": [], | ||||
|    "source": [ | ||||
| @ -317,7 +390,7 @@ | ||||
|   }, | ||||
|   { | ||||
|    "cell_type": "code", | ||||
|    "execution_count": null, | ||||
|    "execution_count": 7, | ||||
|    "metadata": {}, | ||||
|    "outputs": [], | ||||
|    "source": [ | ||||
| @ -381,7 +454,7 @@ | ||||
|   }, | ||||
|   { | ||||
|    "cell_type": "code", | ||||
|    "execution_count": null, | ||||
|    "execution_count": 8, | ||||
|    "metadata": {}, | ||||
|    "outputs": [], | ||||
|    "source": [ | ||||
| @ -425,7 +498,7 @@ | ||||
|   }, | ||||
|   { | ||||
|    "cell_type": "code", | ||||
|    "execution_count": null, | ||||
|    "execution_count": 9, | ||||
|    "metadata": {}, | ||||
|    "outputs": [], | ||||
|    "source": [ | ||||
| @ -541,6 +614,46 @@ | ||||
|     "\n", | ||||
|     "\n" | ||||
|    ] | ||||
|   }, | ||||
|   { | ||||
|    "cell_type": "markdown", | ||||
|    "metadata": {}, | ||||
|    "source": [ | ||||
|     "## testing area" | ||||
|    ] | ||||
|   }, | ||||
|   { | ||||
|    "cell_type": "code", | ||||
|    "execution_count": 10, | ||||
|    "metadata": {}, | ||||
|    "outputs": [], | ||||
|    "source": [ | ||||
|     "def test_input(b):\n", | ||||
|     "    global sdm\n", | ||||
|     "    global pm\n", | ||||
|     "    global tr\n", | ||||
|     "    with out_areas[\"playground\"]:\n", | ||||
|     "        clear_output()\n", | ||||
|     "        mp(\"----\")\n", | ||||
|     "        if pm is None:\n", | ||||
|     "            sys.stderr.write(\"ERROR: load or create classifier first\")\n", | ||||
|     "            return\n", | ||||
|     "        X = shown_widgets[\"test_input\"].value\n", | ||||
|     "        pred = pm.predict([X])\n", | ||||
|     "        shown_widgets[\"prediction\"].value = \"<h1> \" + str(stl.sent2emoji(pred)[0]) + \"</h1>\"\n", | ||||
|     "        if shown_widgets[\"show_sorted_list\"].value:\n", | ||||
|     "            mp(\"## \" + \"\".join(stl.edist.sentiment_vector_to_emoji(pred, only_emoticons=True, n_results=100)))\n", | ||||
|     "\n", | ||||
|     "#link\n", | ||||
|     "shown_widgets[\"test_input\"].observe(test_input)" | ||||
|    ] | ||||
|   }, | ||||
|   { | ||||
|    "cell_type": "code", | ||||
|    "execution_count": null, | ||||
|    "metadata": {}, | ||||
|    "outputs": [], | ||||
|    "source": [] | ||||
|   } | ||||
|  ], | ||||
|  "metadata": { | ||||
|  | ||||
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