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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", "in_columns = ['id_stacji', 'nazwa_stacji', 'typ_zbioru', 'rok', 'miesiąc']\n",
"\n", "\n",
"df = pd.read_csv('train/in.tsv', names=in_columns, sep='\\t')\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)" "len(df)"
] ]
}, },
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"cell_type": "code", "cell_type": "code",
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"source": [ "source": [
"y = pd.read_csv('train/expected.tsv', sep='\\t', names=['rainfall'])\n", "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 = np.array(y).reshape(1,-1)\n",
"y" "y = pd.concat([y,y2])"
] ]
}, },
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"cell_type": "code", "cell_type": "code",
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"id": "9a950571", "id": "9a950571",
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"source": [ "source": [
"# Define model\n", "# Define model\n",
"model = Sequential()\n", "model = Sequential()\n",
"model.add(Dense(1024, input_dim=73, activation= \"relu\"))\n", "model.add(Dense(2048, input_dim=73, activation= \"relu\"))\n",
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"model.add(Dense(512, activation= \"relu\"))\n", "model.add(Dense(512, activation= \"relu\"))\n",
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"id": "cec44474", "id": "cec44474",
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@ -1100,7 +1009,7 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 329, "execution_count": 73,
"id": "eb9cb318", "id": "eb9cb318",
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@ -1111,174 +1020,174 @@
"output_type": "stream", "output_type": "stream",
"text": [ "text": [
"Epoch 1/80\n", "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", "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", "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", "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", "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", "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", "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", "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", "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", "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", "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", "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", "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", "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", "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", "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", "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", "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", "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", "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", "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", "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", "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", "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", "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", "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", "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", "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", "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", "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", "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", "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", "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", "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", "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", "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", "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", "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", "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", "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", "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", "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", "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", "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", "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", "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", "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", "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", "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", "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", "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", "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", "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", "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", "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", "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", "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", "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", "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", "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", "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", "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", "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", "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", "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", "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", "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", "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", "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", "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", "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", "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", "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", "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", "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", "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", "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", "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", "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", "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": { "data": {
"text/plain": [ "text/plain": [
"<keras.callbacks.History at 0x20e7057ed30>" "<keras.callbacks.History at 0x1b6116d01c0>"
] ]
}, },
"execution_count": 329, "execution_count": 73,
"metadata": {}, "metadata": {},
"output_type": "execute_result" "output_type": "execute_result"
} }
@ -1290,7 +1199,7 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 330, "execution_count": 74,
"id": "bad4d35a", "id": "bad4d35a",
"metadata": {}, "metadata": {},
"outputs": [], "outputs": [],
@ -1303,7 +1212,7 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 331, "execution_count": 75,
"id": "a3b6fff0", "id": "a3b6fff0",
"metadata": {}, "metadata": {},
"outputs": [ "outputs": [
@ -1313,7 +1222,7 @@
"9480" "9480"
] ]
}, },
"execution_count": 331, "execution_count": 75,
"metadata": {}, "metadata": {},
"output_type": "execute_result" "output_type": "execute_result"
} }
@ -1325,7 +1234,7 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 332, "execution_count": 76,
"id": "cdf89362", "id": "cdf89362",
"metadata": {}, "metadata": {},
"outputs": [ "outputs": [
@ -1335,7 +1244,7 @@
"9480" "9480"
] ]
}, },
"execution_count": 332, "execution_count": 76,
"metadata": {}, "metadata": {},
"output_type": "execute_result" "output_type": "execute_result"
} }
@ -1347,7 +1256,7 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 333, "execution_count": 77,
"id": "fe00b876", "id": "fe00b876",
"metadata": {}, "metadata": {},
"outputs": [ "outputs": [
@ -1734,7 +1643,7 @@
"[9480 rows x 73 columns]" "[9480 rows x 73 columns]"
] ]
}, },
"execution_count": 333, "execution_count": 77,
"metadata": {}, "metadata": {},
"output_type": "execute_result" "output_type": "execute_result"
} }
@ -1746,7 +1655,7 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 334, "execution_count": 78,
"id": "657a7976", "id": "657a7976",
"metadata": {}, "metadata": {},
"outputs": [ "outputs": [
@ -1940,7 +1849,7 @@
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@ -1964,7 +1873,7 @@
" <td>0</td>\n", " <td>0</td>\n",
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" <td>0</td>\n", " <td>0</td>\n",
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@ -1988,7 +1897,7 @@
" <td>0</td>\n", " <td>0</td>\n",
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" <th>717</th>\n", " <th>117</th>\n",
" <td>0</td>\n", " <td>0</td>\n",
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@ -2012,7 +1921,7 @@
" <td>0</td>\n", " <td>0</td>\n",
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" <th>718</th>\n", " <th>118</th>\n",
" <td>0</td>\n", " <td>0</td>\n",
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@ -2036,7 +1945,7 @@
" <td>0</td>\n", " <td>0</td>\n",
" </tr>\n", " </tr>\n",
" <tr>\n", " <tr>\n",
" <th>719</th>\n", " <th>119</th>\n",
" <td>0</td>\n", " <td>0</td>\n",
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@ -2061,7 +1970,7 @@
" </tr>\n", " </tr>\n",
" </tbody>\n", " </tbody>\n",
"</table>\n", "</table>\n",
"<p>720 rows × 73 columns</p>\n", "<p>120 rows × 73 columns</p>\n",
"</div>" "</div>"
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"719 0 0 0 \n", "119 0 0 0 \n",
"\n", "\n",
" id_stacji_251170090 ... miesiąc_3 miesiąc_4 miesiąc_5 miesiąc_6 \\\n", " id_stacji_251170090 ... miesiąc_3 miesiąc_4 miesiąc_5 miesiąc_6 \\\n",
"0 0 ... 0 0 0 0 \n", "0 0 ... 0 0 0 0 \n",
@ -2111,11 +2020,11 @@
"3 0 ... 0 1 0 0 \n", "3 0 ... 0 1 0 0 \n",
"4 0 ... 0 0 1 0 \n", "4 0 ... 0 0 1 0 \n",
".. ... ... ... ... ... ... \n", ".. ... ... ... ... ... ... \n",
"715 0 ... 0 0 0 0 \n", "115 0 ... 0 0 0 0 \n",
"716 0 ... 0 0 0 0 \n", "116 0 ... 0 0 0 0 \n",
"717 0 ... 0 0 0 0 \n", "117 0 ... 0 0 0 0 \n",
"718 0 ... 0 0 0 0 \n", "118 0 ... 0 0 0 0 \n",
"719 0 ... 0 0 0 0 \n", "119 0 ... 0 0 0 0 \n",
"\n", "\n",
" miesiąc_7 miesiąc_8 miesiąc_9 miesiąc_10 miesiąc_11 miesiąc_12 \n", " miesiąc_7 miesiąc_8 miesiąc_9 miesiąc_10 miesiąc_11 miesiąc_12 \n",
"0 0 0 0 0 0 0 \n", "0 0 0 0 0 0 0 \n",
@ -2124,28 +2033,28 @@
"3 0 0 0 0 0 0 \n", "3 0 0 0 0 0 0 \n",
"4 0 0 0 0 0 0 \n", "4 0 0 0 0 0 0 \n",
".. ... ... ... ... ... ... \n", ".. ... ... ... ... ... ... \n",
"715 0 1 0 0 0 0 \n", "115 0 1 0 0 0 0 \n",
"716 0 0 1 0 0 0 \n", "116 0 0 1 0 0 0 \n",
"717 0 0 0 1 0 0 \n", "117 0 0 0 1 0 0 \n",
"718 0 0 0 0 1 0 \n", "118 0 0 0 0 1 0 \n",
"719 0 0 0 0 0 1 \n", "119 0 0 0 0 0 1 \n",
"\n", "\n",
"[720 rows x 73 columns]" "[120 rows x 73 columns]"
] ]
}, },
"execution_count": 334, "execution_count": 78,
"metadata": {}, "metadata": {},
"output_type": "execute_result" "output_type": "execute_result"
} }
], ],
"source": [ "source": [
"x_test = x_test.iloc[:-8760]\n", "x_test = x_test.iloc[:-9360]\n",
"x_test" "x_test"
] ]
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 335, "execution_count": 79,
"id": "1163c550", "id": "1163c550",
"metadata": {}, "metadata": {},
"outputs": [ "outputs": [
@ -2153,7 +2062,7 @@
"name": "stdout", "name": "stdout",
"output_type": "stream", "output_type": "stream",
"text": [ "text": [
"23/23 [==============================] - 0s 2ms/step\n" "4/4 [==============================] - 0s 3ms/step\n"
] ]
} }
], ],
@ -2163,7 +2072,7 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 336, "execution_count": 80,
"id": "6c24ee76", "id": "6c24ee76",
"metadata": {}, "metadata": {},
"outputs": [ "outputs": [
@ -2171,7 +2080,7 @@
"name": "stdout", "name": "stdout",
"output_type": "stream", "output_type": "stream",
"text": [ "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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