just very little tweaks
This commit is contained in:
		| @ -9,8 +9,6 @@ | ||||
|      "name": "stderr", | ||||
|      "output_type": "stream", | ||||
|      "text": [ | ||||
|       "/home/jonas/.local/lib/python3.6/site-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n", | ||||
|       "  from ._conv import register_converters as _register_converters\n", | ||||
|       "Using TensorFlow backend.\n" | ||||
|      ] | ||||
|     }, | ||||
| @ -187,7 +185,7 @@ | ||||
|   }, | ||||
|   { | ||||
|    "cell_type": "code", | ||||
|    "execution_count": 11, | ||||
|    "execution_count": 7, | ||||
|    "metadata": {}, | ||||
|    "outputs": [], | ||||
|    "source": [ | ||||
| @ -322,7 +320,7 @@ | ||||
|   }, | ||||
|   { | ||||
|    "cell_type": "code", | ||||
|    "execution_count": 21, | ||||
|    "execution_count": 8, | ||||
|    "metadata": {}, | ||||
|    "outputs": [], | ||||
|    "source": [ | ||||
| @ -503,7 +501,7 @@ | ||||
|   }, | ||||
|   { | ||||
|    "cell_type": "code", | ||||
|    "execution_count": 12, | ||||
|    "execution_count": 10, | ||||
|    "metadata": {}, | ||||
|    "outputs": [ | ||||
|     { | ||||
| @ -527,7 +525,7 @@ | ||||
|   }, | ||||
|   { | ||||
|    "cell_type": "code", | ||||
|    "execution_count": 22, | ||||
|    "execution_count": 11, | ||||
|    "metadata": {}, | ||||
|    "outputs": [ | ||||
|     { | ||||
| @ -535,7 +533,7 @@ | ||||
|      "output_type": "stream", | ||||
|      "text": [ | ||||
|       "Epoch 1/1\n", | ||||
|       "100/100 [==============================] - 3s 27ms/step - loss: 0.1225\n" | ||||
|       "10000/10000 [==============================] - 109s 11ms/step - loss: 0.0197\n" | ||||
|      ] | ||||
|     } | ||||
|    ], | ||||
| @ -546,16 +544,9 @@ | ||||
|     "                                                           layers=[(2500, 'relu'),(3,None)], sdm=sdm)\n", | ||||
|     "    \n", | ||||
|     "    tr = trainer(sdm=sdm, pm=pm)\n", | ||||
|     "    tr.fit(100)" | ||||
|     "    tr.fit(10000)" | ||||
|    ] | ||||
|   }, | ||||
|   { | ||||
|    "cell_type": "code", | ||||
|    "execution_count": null, | ||||
|    "metadata": {}, | ||||
|    "outputs": [], | ||||
|    "source": [] | ||||
|   }, | ||||
|   { | ||||
|    "cell_type": "markdown", | ||||
|    "metadata": {}, | ||||
| @ -566,7 +557,7 @@ | ||||
|   }, | ||||
|   { | ||||
|    "cell_type": "code", | ||||
|    "execution_count": 23, | ||||
|    "execution_count": 13, | ||||
|    "metadata": {}, | ||||
|    "outputs": [ | ||||
|     { | ||||
| @ -576,6 +567,14 @@ | ||||
|       "['keras_model']\n" | ||||
|      ] | ||||
|     }, | ||||
|     { | ||||
|      "name": "stderr", | ||||
|      "output_type": "stream", | ||||
|      "text": [ | ||||
|       "/home/jonas/.local/lib/python3.6/site-packages/keras/engine/sequential.py:109: UserWarning: `Sequential.model` is deprecated. `Sequential` is a subclass of `Model`, you can just use your `Sequential` instance directly.\n", | ||||
|       "  warnings.warn('`Sequential.model` is deprecated. '\n" | ||||
|      ] | ||||
|     }, | ||||
|     { | ||||
|      "data": { | ||||
|       "text/plain": [ | ||||
| @ -601,7 +600,9 @@ | ||||
|     } | ||||
|    ], | ||||
|    "source": [ | ||||
|     "pm.save('custom_classifier')" | ||||
|     "import __main__ as main\n", | ||||
|     "if not hasattr(main, '__file__'):\n", | ||||
|     "    pm.save('custom_classifier')" | ||||
|    ] | ||||
|   }, | ||||
|   { | ||||
| @ -614,19 +615,19 @@ | ||||
|   }, | ||||
|   { | ||||
|    "cell_type": "code", | ||||
|    "execution_count": 33, | ||||
|    "execution_count": 14, | ||||
|    "metadata": {}, | ||||
|    "outputs": [ | ||||
|     { | ||||
|      "data": { | ||||
|       "text/plain": [ | ||||
|        "array([[0.15801723, 0.11859037, 0.10975348],\n", | ||||
|        "       [0.17035495, 0.10913695, 0.09354854],\n", | ||||
|        "       [0.11777218, 0.06569621, 0.06620223],\n", | ||||
|        "array([[0.4423941 , 0.22976081, 0.26076168],\n", | ||||
|        "       [0.75167173, 0.2919423 , 0.3423372 ],\n", | ||||
|        "       [0.48943695, 0.21931192, 0.22773138],\n", | ||||
|        "       ...,\n", | ||||
|        "       [0.14746301, 0.09480572, 0.08052498],\n", | ||||
|        "       [0.15932804, 0.11895895, 0.10343507],\n", | ||||
|        "       [0.17135939, 0.1061406 , 0.09402546]], dtype=float32)" | ||||
|        "       [0.51003224, 0.26002786, 0.25588542],\n", | ||||
|        "       [0.5808168 , 0.30632192, 0.2964917 ],\n", | ||||
|        "       [0.39000767, 0.31723523, 0.24713083]], dtype=float32)" | ||||
|       ] | ||||
|      }, | ||||
|      "metadata": {}, | ||||
| @ -651,7 +652,7 @@ | ||||
|      "name": "stdout", | ||||
|      "output_type": "stream", | ||||
|      "text": [ | ||||
|       "prediction variance:  0.0006294687\n", | ||||
|       "prediction variance:  0.009700283\n", | ||||
|       "teacher variance:  0.03341702104519965\n" | ||||
|      ] | ||||
|     }, | ||||
| @ -676,79 +677,79 @@ | ||||
|        "  <thead>\n", | ||||
|        "    <tr style=\"text-align: right;\">\n", | ||||
|        "      <th></th>\n", | ||||
|        "      <th>predict</th>\n", | ||||
|        "      <th>predicted_sentiment</th>\n", | ||||
|        "      <th>text</th>\n", | ||||
|        "      <th>teacher</th>\n", | ||||
|        "      <th>teacher_sentiment</th>\n", | ||||
|        "      <th>text</th>\n", | ||||
|        "      <th>predict</th>\n", | ||||
|        "      <th>predicted_sentiment</th>\n", | ||||
|        "    </tr>\n", | ||||
|        "  </thead>\n", | ||||
|        "  <tbody>\n", | ||||
|        "    <tr>\n", | ||||
|        "      <th>35671</th>\n", | ||||
|        "      <td>😢</td>\n", | ||||
|        "      <td>[0.15801723301410675, 0.11859036982059479, 0.1...</td>\n", | ||||
|        "      <td>i feel like i care so much more in everi situat</td>\n", | ||||
|        "      <td>😂</td>\n", | ||||
|        "      <td>[0.46813021474490496, 0.24716181096977158, 0.2...</td>\n", | ||||
|        "      <td>i feel like i care so much more in everi situat</td>\n", | ||||
|        "      <td>😂</td>\n", | ||||
|        "      <td>[0.44239410758018494, 0.2297608107328415, 0.26...</td>\n", | ||||
|        "    </tr>\n", | ||||
|        "    <tr>\n", | ||||
|        "      <th>25683</th>\n", | ||||
|        "      <td>😢</td>\n", | ||||
|        "      <td>[0.1703549474477768, 0.10913695394992828, 0.09...</td>\n", | ||||
|        "      <td>i did not meat to add that 2 there ... hav see...</td>\n", | ||||
|        "      <td>😂</td>\n", | ||||
|        "      <td>[0.46813021474490496, 0.24716181096977158, 0.2...</td>\n", | ||||
|        "      <td>i did not meat to add that 2 there ... hav see...</td>\n", | ||||
|        "      <td>😌</td>\n", | ||||
|        "      <td>[0.7516717314720154, 0.291942298412323, 0.3423...</td>\n", | ||||
|        "    </tr>\n", | ||||
|        "    <tr>\n", | ||||
|        "      <th>8985</th>\n", | ||||
|        "      <td>😢</td>\n", | ||||
|        "      <td>[0.1177721843123436, 0.06569620966911316, 0.06...</td>\n", | ||||
|        "      <td>never…</td>\n", | ||||
|        "      <td>😊</td>\n", | ||||
|        "      <td>[0.7040175768989329, 0.059322033898305086, 0.2...</td>\n", | ||||
|        "      <td>never…</td>\n", | ||||
|        "      <td>😂</td>\n", | ||||
|        "      <td>[0.48943695425987244, 0.21931192278862, 0.2277...</td>\n", | ||||
|        "    </tr>\n", | ||||
|        "    <tr>\n", | ||||
|        "      <th>5410</th>\n", | ||||
|        "      <td>😢</td>\n", | ||||
|        "      <td>[0.18182337284088135, 0.12382747232913971, 0.0...</td>\n", | ||||
|        "      <td>lmao on me ! ! ! wtf wa he suppos to say</td>\n", | ||||
|        "      <td>😂</td>\n", | ||||
|        "      <td>[0.46813021474490496, 0.24716181096977158, 0.2...</td>\n", | ||||
|        "      <td>lmao on me ! ! ! wtf wa he suppos to say</td>\n", | ||||
|        "      <td>😢</td>\n", | ||||
|        "      <td>[0.3661550283432007, 0.32579296827316284, 0.23...</td>\n", | ||||
|        "    </tr>\n", | ||||
|        "    <tr>\n", | ||||
|        "      <th>62611</th>\n", | ||||
|        "      <td>😢</td>\n", | ||||
|        "      <td>[0.1786666363477707, 0.11502400785684586, 0.10...</td>\n", | ||||
|        "      <td>this dude alway help me get through my school ...</td>\n", | ||||
|        "      <td>😊</td>\n", | ||||
|        "      <td>[0.7040175768989329, 0.059322033898305086, 0.2...</td>\n", | ||||
|        "      <td>this dude alway help me get through my school ...</td>\n", | ||||
|        "      <td>😂</td>\n", | ||||
|        "      <td>[0.48689204454421997, 0.20729433000087738, 0.2...</td>\n", | ||||
|        "    </tr>\n", | ||||
|        "  </tbody>\n", | ||||
|        "</table>\n", | ||||
|        "</div>" | ||||
|       ], | ||||
|       "text/plain": [ | ||||
|        "      predict                                predicted_sentiment teacher  \\\n", | ||||
|        "35671       😢  [0.15801723301410675, 0.11859036982059479, 0.1...       😂   \n", | ||||
|        "25683       😢  [0.1703549474477768, 0.10913695394992828, 0.09...       😂   \n", | ||||
|        "8985        😢  [0.1177721843123436, 0.06569620966911316, 0.06...       😊   \n", | ||||
|        "5410        😢  [0.18182337284088135, 0.12382747232913971, 0.0...       😂   \n", | ||||
|        "62611       😢  [0.1786666363477707, 0.11502400785684586, 0.10...       😊   \n", | ||||
|        "                                                    text teacher  \\\n", | ||||
|        "35671    i feel like i care so much more in everi situat       😂   \n", | ||||
|        "25683  i did not meat to add that 2 there ... hav see...       😂   \n", | ||||
|        "8985                                              never…       😊   \n", | ||||
|        "5410            lmao on me ! ! ! wtf wa he suppos to say       😂   \n", | ||||
|        "62611  this dude alway help me get through my school ...       😊   \n", | ||||
|        "\n", | ||||
|        "                                       teacher_sentiment  \\\n", | ||||
|        "35671  [0.46813021474490496, 0.24716181096977158, 0.2...   \n", | ||||
|        "25683  [0.46813021474490496, 0.24716181096977158, 0.2...   \n", | ||||
|        "8985   [0.7040175768989329, 0.059322033898305086, 0.2...   \n", | ||||
|        "5410   [0.46813021474490496, 0.24716181096977158, 0.2...   \n", | ||||
|        "62611  [0.7040175768989329, 0.059322033898305086, 0.2...   \n", | ||||
|        "                                       teacher_sentiment predict  \\\n", | ||||
|        "35671  [0.46813021474490496, 0.24716181096977158, 0.2...       😂   \n", | ||||
|        "25683  [0.46813021474490496, 0.24716181096977158, 0.2...       😌   \n", | ||||
|        "8985   [0.7040175768989329, 0.059322033898305086, 0.2...       😂   \n", | ||||
|        "5410   [0.46813021474490496, 0.24716181096977158, 0.2...       😢   \n", | ||||
|        "62611  [0.7040175768989329, 0.059322033898305086, 0.2...       😂   \n", | ||||
|        "\n", | ||||
|        "                                                    text  \n", | ||||
|        "35671    i feel like i care so much more in everi situat  \n", | ||||
|        "25683  i did not meat to add that 2 there ... hav see...  \n", | ||||
|        "8985                                              never…  \n", | ||||
|        "5410            lmao on me ! ! ! wtf wa he suppos to say  \n", | ||||
|        "62611  this dude alway help me get through my school ...  " | ||||
|        "                                     predicted_sentiment  \n", | ||||
|        "35671  [0.44239410758018494, 0.2297608107328415, 0.26...  \n", | ||||
|        "25683  [0.7516717314720154, 0.291942298412323, 0.3423...  \n", | ||||
|        "8985   [0.48943695425987244, 0.21931192278862, 0.2277...  \n", | ||||
|        "5410   [0.3661550283432007, 0.32579296827316284, 0.23...  \n", | ||||
|        "62611  [0.48689204454421997, 0.20729433000087738, 0.2...  " | ||||
|       ] | ||||
|      }, | ||||
|      "metadata": {}, | ||||
| @ -758,9 +759,9 @@ | ||||
|      "name": "stdout", | ||||
|      "output_type": "stream", | ||||
|      "text": [ | ||||
|       "Mean Squared Error:  [0.14140389 0.04240099 0.02944344]\n", | ||||
|       "Mean Squared Error:  [0.02340565 0.02344435 0.00374819]\n", | ||||
|       "Variance teacher:  [0.02183094 0.02513847 0.00285735]\n", | ||||
|       "Variance prediction:  [0.00053908 0.00024232 0.00021658]\n" | ||||
|       "Variance prediction:  [0.0083875  0.00473354 0.00115709]\n" | ||||
|      ] | ||||
|     } | ||||
|    ], | ||||
| @ -807,9 +808,38 @@ | ||||
|   }, | ||||
|   { | ||||
|    "cell_type": "code", | ||||
|    "execution_count": null, | ||||
|    "execution_count": 15, | ||||
|    "metadata": {}, | ||||
|    "outputs": [], | ||||
|    "outputs": [ | ||||
|     { | ||||
|      "data": { | ||||
|       "application/vnd.jupyter.widget-view+json": { | ||||
|        "model_id": "2ca4e06fcd4f41c2bfd161f9f16ca594", | ||||
|        "version_major": 2, | ||||
|        "version_minor": 0 | ||||
|       }, | ||||
|       "text/plain": [ | ||||
|        "Text(value='')" | ||||
|       ] | ||||
|      }, | ||||
|      "metadata": {}, | ||||
|      "output_type": "display_data" | ||||
|     }, | ||||
|     { | ||||
|      "data": { | ||||
|       "application/vnd.jupyter.widget-view+json": { | ||||
|        "model_id": "a39abb79d70e4ae1952b2d928cfab174", | ||||
|        "version_major": 2, | ||||
|        "version_minor": 0 | ||||
|       }, | ||||
|       "text/plain": [ | ||||
|        "VBox(children=(Button(description='get emoji', icon='check', style=ButtonStyle(), tooltip='Click me'), Output(…" | ||||
|       ] | ||||
|      }, | ||||
|      "metadata": {}, | ||||
|      "output_type": "display_data" | ||||
|     } | ||||
|    ], | ||||
|    "source": [ | ||||
|     "import __main__ as main\n", | ||||
|     "if not hasattr(main, '__file__'):\n", | ||||
| @ -869,6 +899,13 @@ | ||||
|     "    display(t)\n", | ||||
|     "    display(widgets.VBox([b, out]))  " | ||||
|    ] | ||||
|   }, | ||||
|   { | ||||
|    "cell_type": "code", | ||||
|    "execution_count": null, | ||||
|    "metadata": {}, | ||||
|    "outputs": [], | ||||
|    "source": [] | ||||
|   } | ||||
|  ], | ||||
|  "metadata": { | ||||
|  | ||||
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