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Tomasz Grzybowski 2022-05-23 15:05:18 +02:00
parent 5f081bddcc
commit d3c481b3d3
2 changed files with 356 additions and 1047 deletions
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solution.ipynb
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@ -2,7 +2,7 @@
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@ -26,17 +26,17 @@
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@ -45,12 +45,14 @@
"in_columns = ['id_stacji', 'nazwa_stacji', 'typ_zbioru', 'rok', 'miesiąc']\n",
"\n",
"df = pd.read_csv('train/in.tsv', names=in_columns, sep='\\t')\n",
"df2 = pd.read_csv('dev-0/in.tsv', names=in_columns, sep='\\t')\n",
"df = pd.concat([df, df2])\n",
"len(df)"
]
},
{
"cell_type": "code",
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"execution_count": 62,
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"execution_count": 67,
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@ -911,122 +913,28 @@
},
{
"cell_type": "code",
"execution_count": 324,
"execution_count": 68,
"id": "ede98181",
"metadata": {},
"outputs": [
{
"data": {
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"source": [
"y = pd.read_csv('train/expected.tsv', sep='\\t', names=['rainfall'])\n",
"y2 = pd.read_csv('dev-0/expected.tsv', sep='\\t', names=['rainfall'])\n",
"#y = np.array(y).reshape(1,-1)\n",
"y"
"y = pd.concat([y,y2])"
]
},
{
"cell_type": "code",
"execution_count": 325,
"execution_count": 69,
"id": "9a950571",
"metadata": {},
"outputs": [],
"source": [
"# Define model\n",
"model = Sequential()\n",
"model.add(Dense(1024, input_dim=73, activation= \"relu\"))\n",
"model.add(Dense(2048, input_dim=73, activation= \"relu\"))\n",
"model.add(Dense(1024, activation= \"relu\"))\n",
"model.add(Dense(512, activation= \"relu\"))\n",
"model.add(Dense(256, activation= \"relu\"))\n",
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"cell_type": "code",
"execution_count": 326,
"execution_count": 70,
"id": "f68e43f9",
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"execution_count": 73,
"id": "eb9cb318",
"metadata": {
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@ -1111,174 +1020,174 @@
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"text": [
"Epoch 1/80\n",
"274/274 [==============================] - 2s 6ms/step - loss: 1148.3020 - mean_squared_error: 1148.3020\n",
"293/293 [==============================] - 6s 17ms/step - loss: 1134.1598 - mean_squared_error: 1134.1598\n",
"Epoch 2/80\n",
"274/274 [==============================] - 2s 6ms/step - loss: 763.9616 - mean_squared_error: 763.9616\n",
"293/293 [==============================] - 5s 16ms/step - loss: 714.3663 - mean_squared_error: 714.3663\n",
"Epoch 3/80\n",
"274/274 [==============================] - 2s 6ms/step - loss: 545.3013 - mean_squared_error: 545.3013\n",
"293/293 [==============================] - 5s 17ms/step - loss: 530.2103 - mean_squared_error: 530.2103\n",
"Epoch 4/80\n",
"274/274 [==============================] - 2s 6ms/step - loss: 461.5141 - mean_squared_error: 461.5141\n",
"293/293 [==============================] - 5s 16ms/step - loss: 466.3124 - mean_squared_error: 466.3124\n",
"Epoch 5/80\n",
"274/274 [==============================] - 2s 6ms/step - loss: 422.0508 - mean_squared_error: 422.0508\n",
"293/293 [==============================] - 5s 16ms/step - loss: 408.9340 - mean_squared_error: 408.9340\n",
"Epoch 6/80\n",
"274/274 [==============================] - 2s 6ms/step - loss: 391.7643 - mean_squared_error: 391.7643\n",
"293/293 [==============================] - 5s 17ms/step - loss: 376.8569 - mean_squared_error: 376.8569\n",
"Epoch 7/80\n",
"274/274 [==============================] - 2s 6ms/step - loss: 331.7844 - mean_squared_error: 331.7844\n",
"293/293 [==============================] - 5s 17ms/step - loss: 306.2373 - mean_squared_error: 306.2373\n",
"Epoch 8/80\n",
"274/274 [==============================] - 2s 6ms/step - loss: 301.6153 - mean_squared_error: 301.6153\n",
"293/293 [==============================] - 5s 16ms/step - loss: 265.6877 - mean_squared_error: 265.6877\n",
"Epoch 9/80\n",
"274/274 [==============================] - 2s 6ms/step - loss: 260.0949 - mean_squared_error: 260.0949\n",
"293/293 [==============================] - 5s 17ms/step - loss: 232.4935 - mean_squared_error: 232.4935\n",
"Epoch 10/80\n",
"274/274 [==============================] - 2s 6ms/step - loss: 224.1433 - mean_squared_error: 224.1433\n",
"293/293 [==============================] - 5s 18ms/step - loss: 190.4526 - mean_squared_error: 190.4526\n",
"Epoch 11/80\n",
"274/274 [==============================] - 2s 6ms/step - loss: 201.2247 - mean_squared_error: 201.2247\n",
"293/293 [==============================] - 5s 18ms/step - loss: 145.0189 - mean_squared_error: 145.0189\n",
"Epoch 12/80\n",
"274/274 [==============================] - 1s 5ms/step - loss: 170.9166 - mean_squared_error: 170.9166\n",
"293/293 [==============================] - 5s 16ms/step - loss: 119.3220 - mean_squared_error: 119.3220\n",
"Epoch 13/80\n",
"274/274 [==============================] - 1s 5ms/step - loss: 139.1919 - mean_squared_error: 139.1919\n",
"293/293 [==============================] - 5s 16ms/step - loss: 91.1009 - mean_squared_error: 91.1009\n",
"Epoch 14/80\n",
"274/274 [==============================] - 1s 5ms/step - loss: 115.9581 - mean_squared_error: 115.9581\n",
"293/293 [==============================] - 5s 16ms/step - loss: 74.9345 - mean_squared_error: 74.9345\n",
"Epoch 15/80\n",
"274/274 [==============================] - 1s 5ms/step - loss: 103.9778 - mean_squared_error: 103.9778\n",
"293/293 [==============================] - 5s 17ms/step - loss: 60.5697 - mean_squared_error: 60.5697\n",
"Epoch 16/80\n",
"274/274 [==============================] - 1s 5ms/step - loss: 88.2708 - mean_squared_error: 88.2708\n",
"293/293 [==============================] - 5s 18ms/step - loss: 60.6215 - mean_squared_error: 60.6215\n",
"Epoch 17/80\n",
"274/274 [==============================] - 2s 6ms/step - loss: 72.0225 - mean_squared_error: 72.0225\n",
"293/293 [==============================] - 5s 18ms/step - loss: 53.4988 - mean_squared_error: 53.4988\n",
"Epoch 18/80\n",
"274/274 [==============================] - 2s 6ms/step - loss: 63.5714 - mean_squared_error: 63.5714\n",
"293/293 [==============================] - 5s 16ms/step - loss: 46.9713 - mean_squared_error: 46.9713\n",
"Epoch 19/80\n",
"274/274 [==============================] - 2s 6ms/step - loss: 56.0757 - mean_squared_error: 56.0757\n",
"293/293 [==============================] - 5s 16ms/step - loss: 43.6367 - mean_squared_error: 43.6367\n",
"Epoch 20/80\n",
"274/274 [==============================] - 2s 6ms/step - loss: 52.9535 - mean_squared_error: 52.9535\n",
"293/293 [==============================] - 5s 16ms/step - loss: 43.7172 - mean_squared_error: 43.7172\n",
"Epoch 21/80\n",
"274/274 [==============================] - 2s 6ms/step - loss: 50.0143 - mean_squared_error: 50.0143\n",
"293/293 [==============================] - 5s 17ms/step - loss: 38.5771 - mean_squared_error: 38.5771\n",
"Epoch 22/80\n",
"274/274 [==============================] - 2s 7ms/step - loss: 41.2315 - mean_squared_error: 41.2315\n",
"293/293 [==============================] - 5s 16ms/step - loss: 39.4714 - mean_squared_error: 39.4714\n",
"Epoch 23/80\n",
"274/274 [==============================] - 2s 6ms/step - loss: 39.8365 - mean_squared_error: 39.8365\n",
"293/293 [==============================] - 5s 16ms/step - loss: 40.1202 - mean_squared_error: 40.1202\n",
"Epoch 24/80\n",
"274/274 [==============================] - 2s 6ms/step - loss: 41.5614 - mean_squared_error: 41.5614\n",
"293/293 [==============================] - 5s 16ms/step - loss: 53.1920 - mean_squared_error: 53.1920\n",
"Epoch 25/80\n",
"274/274 [==============================] - 2s 6ms/step - loss: 42.3862 - mean_squared_error: 42.3862\n",
"293/293 [==============================] - 5s 16ms/step - loss: 45.4968 - mean_squared_error: 45.4968\n",
"Epoch 26/80\n",
"274/274 [==============================] - 2s 6ms/step - loss: 38.0177 - mean_squared_error: 38.0177\n",
"293/293 [==============================] - 5s 16ms/step - loss: 34.6478 - mean_squared_error: 34.6478\n",
"Epoch 27/80\n",
"274/274 [==============================] - 2s 6ms/step - loss: 36.0990 - mean_squared_error: 36.0990\n",
"293/293 [==============================] - 5s 16ms/step - loss: 29.7110 - mean_squared_error: 29.7110\n",
"Epoch 28/80\n",
"274/274 [==============================] - 2s 6ms/step - loss: 41.5000 - mean_squared_error: 41.5000\n",
"293/293 [==============================] - 5s 16ms/step - loss: 24.7331 - mean_squared_error: 24.7331\n",
"Epoch 29/80\n",
"274/274 [==============================] - 2s 6ms/step - loss: 37.8813 - mean_squared_error: 37.8813\n",
"293/293 [==============================] - 5s 16ms/step - loss: 31.2403 - mean_squared_error: 31.2403\n",
"Epoch 30/80\n",
"274/274 [==============================] - 2s 6ms/step - loss: 37.9894 - mean_squared_error: 37.9894\n",
"293/293 [==============================] - 5s 16ms/step - loss: 28.0005 - mean_squared_error: 28.0005\n",
"Epoch 31/80\n",
"274/274 [==============================] - 2s 6ms/step - loss: 31.0013 - mean_squared_error: 31.0013\n",
"293/293 [==============================] - 5s 16ms/step - loss: 29.0533 - mean_squared_error: 29.0533\n",
"Epoch 32/80\n",
"274/274 [==============================] - 2s 6ms/step - loss: 24.9764 - mean_squared_error: 24.9764\n",
"293/293 [==============================] - 5s 16ms/step - loss: 30.9709 - mean_squared_error: 30.9709\n",
"Epoch 33/80\n",
"274/274 [==============================] - 2s 6ms/step - loss: 31.9433 - mean_squared_error: 31.9433\n",
"293/293 [==============================] - 5s 16ms/step - loss: 27.8636 - mean_squared_error: 27.8636\n",
"Epoch 34/80\n",
"274/274 [==============================] - 2s 6ms/step - loss: 31.7013 - mean_squared_error: 31.7013\n",
"293/293 [==============================] - 5s 17ms/step - loss: 38.6768 - mean_squared_error: 38.6768\n",
"Epoch 35/80\n",
"274/274 [==============================] - 2s 6ms/step - loss: 29.5324 - mean_squared_error: 29.5324\n",
"293/293 [==============================] - 5s 16ms/step - loss: 36.2994 - mean_squared_error: 36.2994\n",
"Epoch 36/80\n",
"274/274 [==============================] - 2s 5ms/step - loss: 32.4733 - mean_squared_error: 32.4733\n",
"293/293 [==============================] - 5s 16ms/step - loss: 32.9632 - mean_squared_error: 32.9632\n",
"Epoch 37/80\n",
"274/274 [==============================] - 2s 6ms/step - loss: 23.7742 - mean_squared_error: 23.7742\n",
"293/293 [==============================] - 5s 16ms/step - loss: 34.0196 - mean_squared_error: 34.0196\n",
"Epoch 38/80\n",
"274/274 [==============================] - 2s 6ms/step - loss: 27.0307 - mean_squared_error: 27.0307\n",
"293/293 [==============================] - 5s 16ms/step - loss: 27.4301 - mean_squared_error: 27.4301\n",
"Epoch 39/80\n",
"274/274 [==============================] - 2s 6ms/step - loss: 28.7847 - mean_squared_error: 28.7847\n",
"293/293 [==============================] - 5s 16ms/step - loss: 21.3594 - mean_squared_error: 21.3594\n",
"Epoch 40/80\n",
"274/274 [==============================] - 2s 6ms/step - loss: 31.0826 - mean_squared_error: 31.0826\n",
"293/293 [==============================] - 5s 16ms/step - loss: 15.9413 - mean_squared_error: 15.9413\n",
"Epoch 41/80\n",
"274/274 [==============================] - 2s 6ms/step - loss: 26.5976 - mean_squared_error: 26.5976\n",
"293/293 [==============================] - 5s 17ms/step - loss: 21.4223 - mean_squared_error: 21.4223\n",
"Epoch 42/80\n",
"274/274 [==============================] - 2s 6ms/step - loss: 24.3899 - mean_squared_error: 24.3899\n",
"293/293 [==============================] - 5s 17ms/step - loss: 24.0689 - mean_squared_error: 24.0689\n",
"Epoch 43/80\n",
"274/274 [==============================] - 2s 7ms/step - loss: 20.7662 - mean_squared_error: 20.7662\n",
"293/293 [==============================] - 5s 16ms/step - loss: 21.8016 - mean_squared_error: 21.8016\n",
"Epoch 44/80\n",
"274/274 [==============================] - 2s 6ms/step - loss: 19.0226 - mean_squared_error: 19.0226\n",
"293/293 [==============================] - 5s 16ms/step - loss: 22.8678 - mean_squared_error: 22.8678\n",
"Epoch 45/80\n",
"274/274 [==============================] - 2s 6ms/step - loss: 19.3724 - mean_squared_error: 19.3724\n",
"293/293 [==============================] - 5s 16ms/step - loss: 19.4661 - mean_squared_error: 19.4661\n",
"Epoch 46/80\n",
"274/274 [==============================] - 2s 6ms/step - loss: 24.7011 - mean_squared_error: 24.7011\n",
"293/293 [==============================] - 5s 16ms/step - loss: 21.0602 - mean_squared_error: 21.0602\n",
"Epoch 47/80\n",
"274/274 [==============================] - 2s 6ms/step - loss: 25.1954 - mean_squared_error: 25.1954\n",
"293/293 [==============================] - 5s 16ms/step - loss: 21.4916 - mean_squared_error: 21.4916\n",
"Epoch 48/80\n",
"274/274 [==============================] - 2s 6ms/step - loss: 29.5989 - mean_squared_error: 29.5989\n",
"293/293 [==============================] - 5s 16ms/step - loss: 24.5567 - mean_squared_error: 24.5567\n",
"Epoch 49/80\n",
"274/274 [==============================] - 2s 6ms/step - loss: 22.7573 - mean_squared_error: 22.7573\n",
"293/293 [==============================] - 5s 16ms/step - loss: 23.9477 - mean_squared_error: 23.9477\n",
"Epoch 50/80\n",
"274/274 [==============================] - 2s 6ms/step - loss: 23.1566 - mean_squared_error: 23.1566\n",
"293/293 [==============================] - 5s 16ms/step - loss: 21.6010 - mean_squared_error: 21.6010\n",
"Epoch 51/80\n",
"274/274 [==============================] - 2s 6ms/step - loss: 18.3705 - mean_squared_error: 18.3705\n",
"293/293 [==============================] - 5s 18ms/step - loss: 19.9157 - mean_squared_error: 19.9157\n",
"Epoch 52/80\n",
"274/274 [==============================] - 2s 6ms/step - loss: 16.7029 - mean_squared_error: 16.7029\n",
"293/293 [==============================] - 6s 19ms/step - loss: 21.2413 - mean_squared_error: 21.2413\n",
"Epoch 53/80\n",
"274/274 [==============================] - 2s 6ms/step - loss: 16.9602 - mean_squared_error: 16.9602\n",
"293/293 [==============================] - 6s 19ms/step - loss: 23.5774 - mean_squared_error: 23.5774\n",
"Epoch 54/80\n",
"274/274 [==============================] - 2s 6ms/step - loss: 21.2996 - mean_squared_error: 21.2996\n",
"293/293 [==============================] - 5s 17ms/step - loss: 20.9708 - mean_squared_error: 20.9708\n",
"Epoch 55/80\n",
"274/274 [==============================] - 2s 6ms/step - loss: 19.7800 - mean_squared_error: 19.7800\n",
"293/293 [==============================] - 5s 16ms/step - loss: 16.7699 - mean_squared_error: 16.7699\n",
"Epoch 56/80\n",
"274/274 [==============================] - 2s 6ms/step - loss: 19.7060 - mean_squared_error: 19.7060\n",
"293/293 [==============================] - 5s 16ms/step - loss: 11.5884 - mean_squared_error: 11.5884\n",
"Epoch 57/80\n",
"274/274 [==============================] - 2s 6ms/step - loss: 20.6657 - mean_squared_error: 20.6657\n",
"293/293 [==============================] - 5s 16ms/step - loss: 11.2608 - mean_squared_error: 11.2608\n",
"Epoch 58/80\n",
"274/274 [==============================] - 2s 6ms/step - loss: 19.9114 - mean_squared_error: 19.9114\n",
"293/293 [==============================] - 5s 16ms/step - loss: 13.6555 - mean_squared_error: 13.6555\n",
"Epoch 59/80\n",
"274/274 [==============================] - 2s 6ms/step - loss: 15.5104 - mean_squared_error: 15.5104\n",
"293/293 [==============================] - 5s 16ms/step - loss: 16.4050 - mean_squared_error: 16.4050\n",
"Epoch 60/80\n",
"274/274 [==============================] - 2s 6ms/step - loss: 14.6696 - mean_squared_error: 14.6696\n",
"293/293 [==============================] - 5s 16ms/step - loss: 23.0564 - mean_squared_error: 23.0564\n",
"Epoch 61/80\n",
"274/274 [==============================] - 2s 6ms/step - loss: 15.2659 - mean_squared_error: 15.2659\n",
"293/293 [==============================] - 5s 16ms/step - loss: 28.0808 - mean_squared_error: 28.0808\n",
"Epoch 62/80\n",
"274/274 [==============================] - 2s 6ms/step - loss: 18.6857 - mean_squared_error: 18.6857\n",
"293/293 [==============================] - 5s 16ms/step - loss: 19.2690 - mean_squared_error: 19.2690\n",
"Epoch 63/80\n",
"274/274 [==============================] - 2s 7ms/step - loss: 19.9120 - mean_squared_error: 19.9120\n",
"293/293 [==============================] - 5s 16ms/step - loss: 14.3920 - mean_squared_error: 14.3920\n",
"Epoch 64/80\n",
"274/274 [==============================] - 2s 6ms/step - loss: 22.7588 - mean_squared_error: 22.7588\n",
"293/293 [==============================] - 5s 16ms/step - loss: 12.5167 - mean_squared_error: 12.5167\n",
"Epoch 65/80\n",
"274/274 [==============================] - 2s 6ms/step - loss: 18.3624 - mean_squared_error: 18.3624\n",
"293/293 [==============================] - 5s 16ms/step - loss: 14.2031 - mean_squared_error: 14.2031\n",
"Epoch 66/80\n",
"274/274 [==============================] - 2s 6ms/step - loss: 19.8439 - mean_squared_error: 19.8439\n",
"293/293 [==============================] - 5s 16ms/step - loss: 13.2670 - mean_squared_error: 13.2670\n",
"Epoch 67/80\n",
"274/274 [==============================] - 2s 6ms/step - loss: 15.1439 - mean_squared_error: 15.1439\n",
"293/293 [==============================] - 5s 17ms/step - loss: 15.0297 - mean_squared_error: 15.0297\n",
"Epoch 68/80\n",
"274/274 [==============================] - 2s 6ms/step - loss: 14.6623 - mean_squared_error: 14.6623\n",
"293/293 [==============================] - 5s 16ms/step - loss: 16.3161 - mean_squared_error: 16.3161\n",
"Epoch 69/80\n",
"274/274 [==============================] - 2s 6ms/step - loss: 14.0223 - mean_squared_error: 14.0223\n",
"293/293 [==============================] - 5s 16ms/step - loss: 14.6367 - mean_squared_error: 14.6367\n",
"Epoch 70/80\n",
"274/274 [==============================] - 2s 6ms/step - loss: 20.7763 - mean_squared_error: 20.7763\n",
"293/293 [==============================] - 5s 16ms/step - loss: 12.4564 - mean_squared_error: 12.4564\n",
"Epoch 71/80\n",
"274/274 [==============================] - 2s 6ms/step - loss: 19.1875 - mean_squared_error: 19.1875\n",
"293/293 [==============================] - 5s 16ms/step - loss: 11.4511 - mean_squared_error: 11.4511\n",
"Epoch 72/80\n",
"274/274 [==============================] - 2s 6ms/step - loss: 14.1436 - mean_squared_error: 14.1436\n",
"293/293 [==============================] - 5s 17ms/step - loss: 14.1012 - mean_squared_error: 14.1012\n",
"Epoch 73/80\n",
"274/274 [==============================] - 2s 7ms/step - loss: 14.2062 - mean_squared_error: 14.2062\n",
"293/293 [==============================] - 5s 16ms/step - loss: 15.6135 - mean_squared_error: 15.6135\n",
"Epoch 74/80\n",
"274/274 [==============================] - 2s 7ms/step - loss: 10.8038 - mean_squared_error: 10.8038\n",
"293/293 [==============================] - 5s 16ms/step - loss: 16.4932 - mean_squared_error: 16.4932\n",
"Epoch 75/80\n",
"274/274 [==============================] - 2s 6ms/step - loss: 10.9576 - mean_squared_error: 10.9576\n",
"293/293 [==============================] - 5s 16ms/step - loss: 12.8654 - mean_squared_error: 12.8654\n",
"Epoch 76/80\n",
"274/274 [==============================] - 2s 6ms/step - loss: 12.1856 - mean_squared_error: 12.1856\n",
"293/293 [==============================] - 5s 16ms/step - loss: 10.6150 - mean_squared_error: 10.6150\n",
"Epoch 77/80\n",
"274/274 [==============================] - 2s 7ms/step - loss: 12.5274 - mean_squared_error: 12.5274\n",
"293/293 [==============================] - 5s 16ms/step - loss: 11.0828 - mean_squared_error: 11.0828\n",
"Epoch 78/80\n",
"274/274 [==============================] - 2s 6ms/step - loss: 14.9551 - mean_squared_error: 14.9551\n",
"293/293 [==============================] - 5s 16ms/step - loss: 12.4208 - mean_squared_error: 12.4208\n",
"Epoch 79/80\n",
"274/274 [==============================] - 2s 6ms/step - loss: 15.9294 - mean_squared_error: 15.9294\n",
"293/293 [==============================] - 5s 16ms/step - loss: 13.5073 - mean_squared_error: 13.5073\n",
"Epoch 80/80\n",
"274/274 [==============================] - 2s 6ms/step - loss: 16.6070 - mean_squared_error: 16.6070\n"
"293/293 [==============================] - 5s 16ms/step - loss: 13.8812 - mean_squared_error: 13.8812\n"
]
},
{
"data": {
"text/plain": [
"<keras.callbacks.History at 0x20e7057ed30>"
"<keras.callbacks.History at 0x1b6116d01c0>"
]
},
"execution_count": 329,
"execution_count": 73,
"metadata": {},
"output_type": "execute_result"
}
@ -1290,7 +1199,7 @@
},
{
"cell_type": "code",
"execution_count": 330,
"execution_count": 74,
"id": "bad4d35a",
"metadata": {},
"outputs": [],
@ -1303,7 +1212,7 @@
},
{
"cell_type": "code",
"execution_count": 331,
"execution_count": 75,
"id": "a3b6fff0",
"metadata": {},
"outputs": [
@ -1313,7 +1222,7 @@
"9480"
]
},
"execution_count": 331,
"execution_count": 75,
"metadata": {},
"output_type": "execute_result"
}
@ -1325,7 +1234,7 @@
},
{
"cell_type": "code",
"execution_count": 332,
"execution_count": 76,
"id": "cdf89362",
"metadata": {},
"outputs": [
@ -1335,7 +1244,7 @@
"9480"
]
},
"execution_count": 332,
"execution_count": 76,
"metadata": {},
"output_type": "execute_result"
}
@ -1347,7 +1256,7 @@
},
{
"cell_type": "code",
"execution_count": 333,
"execution_count": 77,
"id": "fe00b876",
"metadata": {},
"outputs": [
@ -1734,7 +1643,7 @@
"[9480 rows x 73 columns]"
]
},
"execution_count": 333,
"execution_count": 77,
"metadata": {},
"output_type": "execute_result"
}
@ -1746,7 +1655,7 @@
},
{
"cell_type": "code",
"execution_count": 334,
"execution_count": 78,
"id": "657a7976",
"metadata": {},
"outputs": [
@ -1940,7 +1849,7 @@
" <td>...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>715</th>\n",
" <th>115</th>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
@ -1964,7 +1873,7 @@
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>716</th>\n",
" <th>116</th>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
@ -1988,7 +1897,7 @@
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>717</th>\n",
" <th>117</th>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
@ -2012,7 +1921,7 @@
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>718</th>\n",
" <th>118</th>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
@ -2036,7 +1945,7 @@
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>719</th>\n",
" <th>119</th>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
@ -2061,7 +1970,7 @@
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>720 rows × 73 columns</p>\n",
"<p>120 rows × 73 columns</p>\n",
"</div>"
],
"text/plain": [
@ -2072,11 +1981,11 @@
"3 0 0 1 \n",
"4 0 0 1 \n",
".. ... ... ... \n",
"715 0 0 0 \n",
"716 0 0 0 \n",
"717 0 0 0 \n",
"718 0 0 0 \n",
"719 0 0 0 \n",
"115 0 0 0 \n",
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"117 0 0 0 \n",
"118 0 0 0 \n",
"119 0 0 0 \n",
"\n",
" id_stacji_249200490 id_stacji_249220150 id_stacji_249220180 \\\n",
"0 0 0 0 \n",
@ -2085,11 +1994,11 @@
"3 0 0 0 \n",
"4 0 0 0 \n",
".. ... ... ... \n",
"715 0 0 0 \n",
"716 0 0 0 \n",
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" id_stacji_250190160 id_stacji_250190390 id_stacji_250210130 \\\n",
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@ -2098,11 +2007,11 @@
"3 0 0 0 \n",
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"715 0 0 0 \n",
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"718 0 0 0 \n",
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"119 0 0 0 \n",
"\n",
" id_stacji_251170090 ... miesiąc_3 miesiąc_4 miesiąc_5 miesiąc_6 \\\n",
"0 0 ... 0 0 0 0 \n",
@ -2111,11 +2020,11 @@
"3 0 ... 0 1 0 0 \n",
"4 0 ... 0 0 1 0 \n",
".. ... ... ... ... ... ... \n",
"715 0 ... 0 0 0 0 \n",
"716 0 ... 0 0 0 0 \n",
"717 0 ... 0 0 0 0 \n",
"718 0 ... 0 0 0 0 \n",
"719 0 ... 0 0 0 0 \n",
"115 0 ... 0 0 0 0 \n",
"116 0 ... 0 0 0 0 \n",
"117 0 ... 0 0 0 0 \n",
"118 0 ... 0 0 0 0 \n",
"119 0 ... 0 0 0 0 \n",
"\n",
" miesiąc_7 miesiąc_8 miesiąc_9 miesiąc_10 miesiąc_11 miesiąc_12 \n",
"0 0 0 0 0 0 0 \n",
@ -2124,28 +2033,28 @@
"3 0 0 0 0 0 0 \n",
"4 0 0 0 0 0 0 \n",
".. ... ... ... ... ... ... \n",
"715 0 1 0 0 0 0 \n",
"716 0 0 1 0 0 0 \n",
"717 0 0 0 1 0 0 \n",
"718 0 0 0 0 1 0 \n",
"719 0 0 0 0 0 1 \n",
"115 0 1 0 0 0 0 \n",
"116 0 0 1 0 0 0 \n",
"117 0 0 0 1 0 0 \n",
"118 0 0 0 0 1 0 \n",
"119 0 0 0 0 0 1 \n",
"\n",
"[720 rows x 73 columns]"
"[120 rows x 73 columns]"
]
},
"execution_count": 334,
"execution_count": 78,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"x_test = x_test.iloc[:-8760]\n",
"x_test = x_test.iloc[:-9360]\n",
"x_test"
]
},
{
"cell_type": "code",
"execution_count": 335,
"execution_count": 79,
"id": "1163c550",
"metadata": {},
"outputs": [
@ -2153,7 +2062,7 @@
"name": "stdout",
"output_type": "stream",
"text": [
"23/23 [==============================] - 0s 2ms/step\n"
"4/4 [==============================] - 0s 3ms/step\n"
]
}
],
@ -2163,7 +2072,7 @@
},
{
"cell_type": "code",
"execution_count": 336,
"execution_count": 80,
"id": "6c24ee76",
"metadata": {},
"outputs": [
@ -2171,7 +2080,7 @@
"name": "stdout",
"output_type": "stream",
"text": [
"23/23 [==============================] - 0s 2ms/step\n"
"4/4 [==============================] - 0s 3ms/step\n"
]
}
],

840
test-A/out.tsv
View File

@ -1,720 +1,120 @@
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2 23.207268 16.350279
3 38.600674 22.789177
4 49.023003 51.033195
5 103.16544 95.10196
6 136.36351 143.72798
7 228.96837 248.56514
8 95.556404 81.624825
9 34.701256 14.317354
10 50.14181 54.314953
11 2.3887796 3.5898218
12 41.059895 38.327282
13 25.788635 29.06015
14 18.236408 19.368362
15 29.031952 20.60291
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17 90.344086 77.44563
18 95.69146 99.81384
19 206.01138 186.14442
20 76.83379 57.034023
21 24.600927 19.91156
22 39.985962 39.306408
23 0.43409503 0.85256624
24 36.300404 33.27073
25 30.287884 28.762604
26 23.871101 20.917215
27 24.685547 17.525002
28 20.602997 21.300055
29 51.445942 52.104977
30 63.200222 42.200336
31 178.59409 185.57613
32 62.178963 70.37845
33 13.716793 20.835373
34 25.43167 27.615982
35 0.16868392 2.7978063
36 32.340897 35.56955
37 26.52262 33.653126
38 23.270792 24.754032
39 18.995613 18.766287
40 22.353188 19.368382
41 46.449783 48.98469
42 42.287228 38.993263
43 163.29156 158.35138
44 56.99034 64.5624
45 16.313833 22.918335
46 21.535488 21.680492
47 3.5951788 2.7242997
48 36.52256 41.165028
49 30.261253 27.08392
50 28.02701 23.24611
51 17.092684 16.785679
52 24.984133 21.524668
53 45.050606 41.916515
54 41.413765 40.79905
55 171.99384 157.04985
56 63.993435 62.3512
57 11.308073 13.931578
58 23.258411 24.665794
59 0.43255252 2.8123379
60 32.508835 36.250103
61 37.252853 38.285152
62 31.582388 34.517036
63 26.152565 13.487172
64 39.994102 33.591892
65 66.85786 53.097176
66 71.806465 67.98111
67 182.91699 176.66515
68 64.41485 54.890606
69 23.18985 16.860699
70 28.298828 20.153542
71 16.593418 16.309742
72 42.920303 35.682148
73 87.27103 79.40155
74 45.030636 54.7205
75 35.660583 42.420486
76 52.031002 46.364117
77 72.33568 87.48198
78 124.909615 152.64699
79 127.98356 136.22754
80 62.92622 51.064034
81 48.276493 47.007305
82 86.1559 76.495285
83 42.463497 35.972443
84 34.520813 35.765568
85 59.711285 75.62721
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87 24.952456 30.856655
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90 92.40485 124.917564
91 72.39745 95.41821
92 35.64899 44.12282
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95 30.533033 39.569687
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97 49.75119 54.731686
98 35.51369 43.30465
99 20.205303 21.67123
100 33.452984 34.42165
101 37.232452 45.98126
102 73.07589 99.097534
103 85.85044 110.04732
104 53.67648 51.26564
105 34.155388 32.61207
106 65.61515 64.51444
107 32.460224 39.869186
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109 67.75133 53.022243
110 40.184547 33.164776
111 33.01076 21.195053
112 49.815674 39.06738
113 47.57177 38.08621
114 69.34244 69.145836
115 78.54326 88.550835
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55.250305
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