diff --git a/solution.ipynb b/solution.ipynb
index 48a736b..167cea3 100644
--- a/solution.ipynb
+++ b/solution.ipynb
@@ -2,7 +2,7 @@
"cells": [
{
"cell_type": "code",
- "execution_count": 316,
+ "execution_count": 60,
"id": "ddcaf12b",
"metadata": {},
"outputs": [],
@@ -26,17 +26,17 @@
},
{
"cell_type": "code",
- "execution_count": 317,
+ "execution_count": 61,
"id": "70e3b6e3",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
- "8760"
+ "9360"
]
},
- "execution_count": 317,
+ "execution_count": 61,
"metadata": {},
"output_type": "execute_result"
}
@@ -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",
- "execution_count": 318,
+ "execution_count": 62,
"id": "44f404d6",
"metadata": {},
"outputs": [
@@ -60,7 +62,7 @@
"720"
]
},
- "execution_count": 318,
+ "execution_count": 62,
"metadata": {},
"output_type": "execute_result"
}
@@ -72,17 +74,17 @@
},
{
"cell_type": "code",
- "execution_count": 319,
+ "execution_count": 63,
"id": "c760402a",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
- "9480"
+ "10080"
]
},
- "execution_count": 319,
+ "execution_count": 63,
"metadata": {},
"output_type": "execute_result"
}
@@ -94,7 +96,7 @@
},
{
"cell_type": "code",
- "execution_count": 320,
+ "execution_count": 64,
"id": "06f39e15",
"metadata": {},
"outputs": [],
@@ -104,7 +106,7 @@
},
{
"cell_type": "code",
- "execution_count": 321,
+ "execution_count": 65,
"id": "91c047f6",
"metadata": {},
"outputs": [
@@ -419,7 +421,7 @@
" \n",
" \n",
"\n",
- "
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+ "10080 rows × 73 columns
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""
],
"text/plain": [
@@ -488,10 +490,10 @@
"718 0 0 0 0 1 0 \n",
"719 0 0 0 0 0 1 \n",
"\n",
- "[9480 rows x 73 columns]"
+ "[10080 rows x 73 columns]"
]
},
- "execution_count": 321,
+ "execution_count": 65,
"metadata": {},
"output_type": "execute_result"
}
@@ -503,7 +505,7 @@
},
{
"cell_type": "code",
- "execution_count": 322,
+ "execution_count": 66,
"id": "037f1315",
"metadata": {},
"outputs": [],
@@ -513,7 +515,7 @@
},
{
"cell_type": "code",
- "execution_count": 323,
+ "execution_count": 67,
"id": "e03bae07",
"metadata": {},
"outputs": [
@@ -707,7 +709,7 @@
" ... | \n",
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+ " 596 | \n",
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@@ -755,7 +757,7 @@
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@@ -828,79 +830,79 @@
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- "8760 rows × 73 columns
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+ "9360 rows × 73 columns
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""
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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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- "execution_count": 324,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
+ "outputs": [],
"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",
"model.add(Dense(128, activation= \"relu\"))\n",
@@ -1039,7 +947,7 @@
},
{
"cell_type": "code",
- "execution_count": 326,
+ "execution_count": 70,
"id": "f68e43f9",
"metadata": {},
"outputs": [],
@@ -1051,7 +959,7 @@
},
{
"cell_type": "code",
- "execution_count": 327,
+ "execution_count": 71,
"id": "c1036c04",
"metadata": {},
"outputs": [],
@@ -1061,7 +969,7 @@
},
{
"cell_type": "code",
- "execution_count": 328,
+ "execution_count": 72,
"id": "cec44474",
"metadata": {},
"outputs": [
@@ -1071,23 +979,24 @@
"text": [
"(None, 73) \n",
"(None, 1) \n",
- "dense_103 (None, 73) float32\n",
- "dense_104 (None, 1024) float32\n",
- "dense_105 (None, 512) float32\n",
- "dense_106 (None, 256) float32\n",
- "dense_107 (None, 128) float32\n",
- "dense_108 (None, 64) float32\n",
- "dense_109 (None, 32) float32\n",
- "dense_110 (None, 16) float32\n"
+ "dense_26 (None, 73) float32\n",
+ "dense_27 (None, 2048) float32\n",
+ "dense_28 (None, 1024) float32\n",
+ "dense_29 (None, 512) float32\n",
+ "dense_30 (None, 256) float32\n",
+ "dense_31 (None, 128) float32\n",
+ "dense_32 (None, 64) float32\n",
+ "dense_33 (None, 32) float32\n",
+ "dense_34 (None, 16) float32\n"
]
},
{
"data": {
"text/plain": [
- "[None, None, None, None, None, None, None, None]"
+ "[None, None, None, None, None, None, None, None, None]"
]
},
- "execution_count": 328,
+ "execution_count": 72,
"metadata": {},
"output_type": "execute_result"
}
@@ -1100,7 +1009,7 @@
},
{
"cell_type": "code",
- "execution_count": 329,
+ "execution_count": 73,
"id": "eb9cb318",
"metadata": {
"scrolled": true
@@ -1111,174 +1020,174 @@
"output_type": "stream",
"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": [
- ""
+ ""
]
},
- "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 @@
" ... | \n",
" \n",
" \n",
- " 715 | \n",
+ " 115 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
@@ -1964,7 +1873,7 @@
" 0 | \n",
"
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" \n",
- " 716 | \n",
+ " 116 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
@@ -1988,7 +1897,7 @@
" 0 | \n",
"
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" \n",
- " 717 | \n",
+ " 117 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
@@ -2012,7 +1921,7 @@
" 0 | \n",
"
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" \n",
- " 718 | \n",
+ " 118 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
@@ -2036,7 +1945,7 @@
" 0 | \n",
"
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" \n",
- " 719 | \n",
+ " 119 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
@@ -2061,7 +1970,7 @@
"
\n",
" \n",
"\n",
- "720 rows × 73 columns
\n",
+ "120 rows × 73 columns
\n",
""
],
"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",
+ "116 0 0 0 \n",
+ "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",
- "717 0 0 0 \n",
- "718 0 0 0 \n",
- "719 0 0 0 \n",
+ "115 0 0 0 \n",
+ "116 0 0 0 \n",
+ "117 0 0 0 \n",
+ "118 0 0 0 \n",
+ "119 0 0 0 \n",
"\n",
" id_stacji_250190160 id_stacji_250190390 id_stacji_250210130 \\\n",
"0 0 0 0 \n",
@@ -2098,11 +2007,11 @@
"3 0 0 0 \n",
"4 0 0 0 \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",
+ "116 0 0 0 \n",
+ "117 0 0 0 \n",
+ "118 0 0 0 \n",
+ "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"
]
}
],
diff --git a/test-A/out.tsv b/test-A/out.tsv
index e94691d..87e609d 100644
--- a/test-A/out.tsv
+++ b/test-A/out.tsv
@@ -1,720 +1,120 @@
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