From 659e17494c39e7ca400d4c44703c1a25375f9580 Mon Sep 17 00:00:00 2001 From: Tomasz Grzybowski Date: Sun, 22 May 2022 20:26:09 +0200 Subject: [PATCH] new --- solution.ipynb | 419 +++++++++++++++++++++++++++++-------------------- 1 file changed, 251 insertions(+), 168 deletions(-) diff --git a/solution.ipynb b/solution.ipynb index 3536dc0..9bbf0e0 100644 --- a/solution.ipynb +++ b/solution.ipynb @@ -2,7 +2,7 @@ "cells": [ { "cell_type": "code", - "execution_count": 35, + "execution_count": 295, "id": "ddcaf12b", "metadata": {}, "outputs": [], @@ -26,7 +26,7 @@ }, { "cell_type": "code", - "execution_count": 36, + "execution_count": 296, "id": "70e3b6e3", "metadata": {}, "outputs": [ @@ -36,7 +36,7 @@ "8760" ] }, - "execution_count": 36, + "execution_count": 296, "metadata": {}, "output_type": "execute_result" } @@ -50,7 +50,7 @@ }, { "cell_type": "code", - "execution_count": 37, + "execution_count": 297, "id": "44f404d6", "metadata": {}, "outputs": [ @@ -60,7 +60,7 @@ "720" ] }, - "execution_count": 37, + "execution_count": 297, "metadata": {}, "output_type": "execute_result" } @@ -72,7 +72,7 @@ }, { "cell_type": "code", - "execution_count": 38, + "execution_count": 298, "id": "c760402a", "metadata": {}, "outputs": [ @@ -82,7 +82,7 @@ "9480" ] }, - "execution_count": 38, + "execution_count": 298, "metadata": {}, "output_type": "execute_result" } @@ -94,7 +94,7 @@ }, { "cell_type": "code", - "execution_count": 39, + "execution_count": 299, "id": "06f39e15", "metadata": {}, "outputs": [], @@ -104,7 +104,7 @@ }, { "cell_type": "code", - "execution_count": 40, + "execution_count": 300, "id": "91c047f6", "metadata": {}, "outputs": [ @@ -491,7 +491,7 @@ "[9480 rows x 73 columns]" ] }, - "execution_count": 40, + "execution_count": 300, "metadata": {}, "output_type": "execute_result" } @@ -503,7 +503,7 @@ }, { "cell_type": "code", - "execution_count": 41, + "execution_count": 301, "id": "037f1315", "metadata": {}, "outputs": [], @@ -513,7 +513,7 @@ }, { "cell_type": "code", - "execution_count": 42, + "execution_count": 302, "id": "e03bae07", "metadata": {}, "outputs": [ @@ -900,7 +900,7 @@ "[8760 rows x 73 columns]" ] }, - "execution_count": 42, + "execution_count": 302, "metadata": {}, "output_type": "execute_result" } @@ -911,7 +911,7 @@ }, { "cell_type": "code", - "execution_count": 43, + "execution_count": 303, "id": "ede98181", "metadata": {}, "outputs": [ @@ -1006,7 +1006,7 @@ "[8760 rows x 1 columns]" ] }, - "execution_count": 43, + "execution_count": 303, "metadata": {}, "output_type": "execute_result" } @@ -1019,17 +1019,17 @@ }, { "cell_type": "code", - "execution_count": 44, + "execution_count": 304, "id": "9a950571", "metadata": {}, "outputs": [], "source": [ "# Define model\n", "model = Sequential()\n", - "#model.add(Dense(16, input_dim=73, activation= \"relu\"))\n", - "#model.add(Dense(32, activation= \"relu\"))\n", - "#model.add(Dense(64, activation= \"relu\"))\n", - "model.add(Dense(128,input_dim=73, activation= \"relu\"))\n", + "model.add(Dense(1024, input_dim=73, activation= \"relu\"))\n", + "model.add(Dense(512, activation= \"relu\"))\n", + "model.add(Dense(256, activation= \"relu\"))\n", + "model.add(Dense(128, activation= \"relu\"))\n", "model.add(Dense(64, activation= \"relu\"))\n", "model.add(Dense(32, activation= \"relu\"))\n", "model.add(Dense(16, activation= \"relu\"))\n", @@ -1039,7 +1039,7 @@ }, { "cell_type": "code", - "execution_count": 45, + "execution_count": 305, "id": "f68e43f9", "metadata": {}, "outputs": [], @@ -1051,7 +1051,7 @@ }, { "cell_type": "code", - "execution_count": 46, + "execution_count": 306, "id": "c1036c04", "metadata": {}, "outputs": [], @@ -1061,7 +1061,7 @@ }, { "cell_type": "code", - "execution_count": 47, + "execution_count": 307, "id": "cec44474", "metadata": {}, "outputs": [ @@ -1071,20 +1071,23 @@ "text": [ "(None, 73) \n", "(None, 1) \n", - "dense_13 (None, 73) float32\n", - "dense_14 (None, 128) float32\n", - "dense_15 (None, 64) float32\n", - "dense_16 (None, 32) float32\n", - "dense_17 (None, 16) float32\n" + "dense_95 (None, 73) float32\n", + "dense_96 (None, 1024) float32\n", + "dense_97 (None, 512) float32\n", + "dense_98 (None, 256) float32\n", + "dense_99 (None, 128) float32\n", + "dense_100 (None, 64) float32\n", + "dense_101 (None, 32) float32\n", + "dense_102 (None, 16) float32\n" ] }, { "data": { "text/plain": [ - "[None, None, None, None, None]" + "[None, None, None, None, None, None, None, None]" ] }, - "execution_count": 47, + "execution_count": 307, "metadata": {}, "output_type": "execute_result" } @@ -1097,7 +1100,7 @@ }, { "cell_type": "code", - "execution_count": 48, + "execution_count": 308, "id": "eb9cb318", "metadata": { "scrolled": true @@ -1107,160 +1110,240 @@ "name": "stdout", "output_type": "stream", "text": [ - "Epoch 1/60\n", - "274/274 [==============================] - 1s 1ms/step - loss: 1591.3160 - mean_squared_error: 1591.3160\n", - "Epoch 2/60\n", - "274/274 [==============================] - 0s 1ms/step - loss: 937.6966 - mean_squared_error: 937.6966\n", - "Epoch 3/60\n", - "274/274 [==============================] - 0s 1ms/step - loss: 885.1689 - mean_squared_error: 885.1689\n", - "Epoch 4/60\n", - "274/274 [==============================] - 0s 1ms/step - loss: 803.5897 - mean_squared_error: 803.5897\n", - "Epoch 5/60\n", - "274/274 [==============================] - 0s 1ms/step - loss: 686.9089 - mean_squared_error: 686.9089\n", - "Epoch 6/60\n", - "274/274 [==============================] - 0s 1ms/step - loss: 583.9525 - mean_squared_error: 583.9525\n", - "Epoch 7/60\n", - "274/274 [==============================] - 0s 1ms/step - loss: 518.3331 - mean_squared_error: 518.3331\n", - "Epoch 8/60\n", - "274/274 [==============================] - 0s 1ms/step - loss: 477.7906 - mean_squared_error: 477.7906\n", - "Epoch 9/60\n", - "274/274 [==============================] - 0s 1ms/step - loss: 446.8395 - mean_squared_error: 446.8395\n", - "Epoch 10/60\n", - "274/274 [==============================] - 0s 1ms/step - loss: 420.2437 - mean_squared_error: 420.2437\n", - "Epoch 11/60\n", - "274/274 [==============================] - 0s 1ms/step - loss: 401.8218 - mean_squared_error: 401.8218\n", - "Epoch 12/60\n", - "274/274 [==============================] - 0s 1ms/step - loss: 384.3383 - mean_squared_error: 384.3383\n", - "Epoch 13/60\n", - "274/274 [==============================] - 0s 1ms/step - loss: 363.4060 - mean_squared_error: 363.4060\n", - "Epoch 14/60\n", - "274/274 [==============================] - 0s 1ms/step - loss: 345.5817 - mean_squared_error: 345.5817\n", - "Epoch 15/60\n", - "274/274 [==============================] - 0s 1ms/step - loss: 332.1534 - mean_squared_error: 332.1534\n", - "Epoch 16/60\n", - "274/274 [==============================] - 0s 1ms/step - loss: 313.5759 - mean_squared_error: 313.5759\n", - "Epoch 17/60\n", - "274/274 [==============================] - 0s 1ms/step - loss: 297.7942 - mean_squared_error: 297.7942\n", - "Epoch 18/60\n", - "274/274 [==============================] - 0s 1ms/step - loss: 281.8712 - mean_squared_error: 281.8712\n", - "Epoch 19/60\n", - "274/274 [==============================] - 0s 1ms/step - loss: 268.7486 - mean_squared_error: 268.7486\n", - "Epoch 20/60\n", - "274/274 [==============================] - 0s 1ms/step - loss: 251.2501 - mean_squared_error: 251.2501\n", - "Epoch 21/60\n", - "274/274 [==============================] - 0s 1ms/step - loss: 248.3035 - mean_squared_error: 248.3035\n", - "Epoch 22/60\n", - "274/274 [==============================] - 0s 1ms/step - loss: 227.5490 - mean_squared_error: 227.5490\n", - "Epoch 23/60\n", - "274/274 [==============================] - 0s 1ms/step - loss: 212.7673 - mean_squared_error: 212.7673\n", - "Epoch 24/60\n", - "274/274 [==============================] - 0s 1ms/step - loss: 203.8420 - mean_squared_error: 203.8420\n", - "Epoch 25/60\n", - "274/274 [==============================] - 0s 1ms/step - loss: 196.8168 - mean_squared_error: 196.8168\n", - "Epoch 26/60\n", - "274/274 [==============================] - 0s 1ms/step - loss: 177.4812 - mean_squared_error: 177.4812\n", - "Epoch 27/60\n", - "274/274 [==============================] - 0s 1ms/step - loss: 168.7412 - mean_squared_error: 168.7412\n", - "Epoch 28/60\n", - "274/274 [==============================] - 0s 1ms/step - loss: 160.3402 - mean_squared_error: 160.3402\n", - "Epoch 29/60\n", - "274/274 [==============================] - 0s 1ms/step - loss: 149.0066 - mean_squared_error: 149.0066\n", - "Epoch 30/60\n", - "274/274 [==============================] - 0s 1ms/step - loss: 146.2084 - mean_squared_error: 146.2084\n", - "Epoch 31/60\n", - "274/274 [==============================] - 0s 1ms/step - loss: 139.4028 - mean_squared_error: 139.4028\n", - "Epoch 32/60\n", - "274/274 [==============================] - 0s 1ms/step - loss: 127.5936 - mean_squared_error: 127.5936\n", - "Epoch 33/60\n", - "274/274 [==============================] - 0s 1ms/step - loss: 126.8296 - mean_squared_error: 126.8296\n", - "Epoch 34/60\n", - "274/274 [==============================] - 0s 1ms/step - loss: 120.6797 - mean_squared_error: 120.6797\n", - "Epoch 35/60\n", - "274/274 [==============================] - 0s 1ms/step - loss: 109.6528 - mean_squared_error: 109.6528\n", - "Epoch 36/60\n", - "274/274 [==============================] - 0s 1ms/step - loss: 108.0870 - mean_squared_error: 108.0870\n", - "Epoch 37/60\n", - "274/274 [==============================] - 0s 1ms/step - loss: 103.3821 - mean_squared_error: 103.3821\n", - "Epoch 38/60\n", - "274/274 [==============================] - 0s 1ms/step - loss: 101.3340 - mean_squared_error: 101.3340\n", - "Epoch 39/60\n", - "274/274 [==============================] - 0s 1ms/step - loss: 97.4961 - mean_squared_error: 97.4961\n", - "Epoch 40/60\n", - "274/274 [==============================] - 0s 1ms/step - loss: 101.1986 - mean_squared_error: 101.1986\n", - "Epoch 41/60\n", - "274/274 [==============================] - 0s 1ms/step - loss: 85.8747 - mean_squared_error: 85.8747\n", - "Epoch 42/60\n", - "274/274 [==============================] - 0s 1ms/step - loss: 83.6872 - mean_squared_error: 83.6872\n", - "Epoch 43/60\n", - "274/274 [==============================] - 0s 1ms/step - loss: 83.8899 - mean_squared_error: 83.8899\n", - "Epoch 44/60\n", - "274/274 [==============================] - 0s 1ms/step - loss: 78.8383 - mean_squared_error: 78.8383\n", - "Epoch 45/60\n", - "274/274 [==============================] - 0s 1ms/step - loss: 77.0742 - mean_squared_error: 77.0742\n", - "Epoch 46/60\n", - "274/274 [==============================] - 0s 1ms/step - loss: 77.3783 - mean_squared_error: 77.3783\n", - "Epoch 47/60\n", - "274/274 [==============================] - 0s 1ms/step - loss: 74.7967 - mean_squared_error: 74.7967\n", - "Epoch 48/60\n", - "274/274 [==============================] - 0s 1ms/step - loss: 74.1861 - mean_squared_error: 74.1861\n", - "Epoch 49/60\n", - "274/274 [==============================] - 0s 1ms/step - loss: 71.5402 - mean_squared_error: 71.5402\n", - "Epoch 50/60\n", - "274/274 [==============================] - 0s 1ms/step - loss: 65.2219 - mean_squared_error: 65.2219\n", - "Epoch 51/60\n", - "274/274 [==============================] - 0s 1ms/step - loss: 68.7477 - mean_squared_error: 68.7477\n", - "Epoch 52/60\n", - "274/274 [==============================] - 0s 2ms/step - loss: 64.0499 - mean_squared_error: 64.0499\n", - "Epoch 53/60\n", - "274/274 [==============================] - 0s 1ms/step - loss: 66.3469 - mean_squared_error: 66.3469\n", - "Epoch 54/60\n", - "274/274 [==============================] - 0s 1ms/step - loss: 66.4551 - mean_squared_error: 66.4551\n", - "Epoch 55/60\n", - "274/274 [==============================] - 0s 1ms/step - loss: 62.5891 - mean_squared_error: 62.5891\n", - "Epoch 56/60\n", - "274/274 [==============================] - 0s 1ms/step - loss: 54.9064 - mean_squared_error: 54.9064\n", - "Epoch 57/60\n", - "274/274 [==============================] - 0s 1ms/step - loss: 54.1649 - mean_squared_error: 54.1649\n", - "Epoch 58/60\n", - "274/274 [==============================] - 0s 1ms/step - loss: 59.5273 - mean_squared_error: 59.5273\n", - "Epoch 59/60\n", - "274/274 [==============================] - 0s 1ms/step - loss: 50.9209 - mean_squared_error: 50.9209\n", - "Epoch 60/60\n", - "274/274 [==============================] - 0s 1ms/step - loss: 50.5574 - mean_squared_error: 50.5574\n" + "Epoch 1/100\n", + "274/274 [==============================] - 2s 6ms/step - loss: 1216.5399 - mean_squared_error: 1216.5399\n", + "Epoch 2/100\n", + "274/274 [==============================] - 2s 6ms/step - loss: 794.1711 - mean_squared_error: 794.1711\n", + "Epoch 3/100\n", + "274/274 [==============================] - 2s 6ms/step - loss: 580.7461 - mean_squared_error: 580.7461\n", + "Epoch 4/100\n", + "274/274 [==============================] - 2s 6ms/step - loss: 484.1317 - mean_squared_error: 484.1317\n", + "Epoch 5/100\n", + "274/274 [==============================] - 2s 6ms/step - loss: 441.7448 - mean_squared_error: 441.7448\n", + "Epoch 6/100\n", + "274/274 [==============================] - 2s 6ms/step - loss: 392.2047 - mean_squared_error: 392.2047\n", + "Epoch 7/100\n", + "274/274 [==============================] - 2s 6ms/step - loss: 361.4105 - mean_squared_error: 361.4105\n", + "Epoch 8/100\n", + "274/274 [==============================] - 2s 6ms/step - loss: 312.9633 - mean_squared_error: 312.9633\n", + "Epoch 9/100\n", + "274/274 [==============================] - 2s 7ms/step - loss: 275.2529 - mean_squared_error: 275.2529\n", + "Epoch 10/100\n", + "274/274 [==============================] - 2s 6ms/step - loss: 246.7625 - mean_squared_error: 246.7625\n", + "Epoch 11/100\n", + "274/274 [==============================] - 2s 6ms/step - loss: 195.6685 - mean_squared_error: 195.6685\n", + "Epoch 12/100\n", + "274/274 [==============================] - 2s 6ms/step - loss: 168.8491 - mean_squared_error: 168.8491\n", + "Epoch 13/100\n", + "274/274 [==============================] - 2s 7ms/step - loss: 150.1201 - mean_squared_error: 150.1201\n", + "Epoch 14/100\n", + "274/274 [==============================] - 2s 7ms/step - loss: 122.6171 - mean_squared_error: 122.6171\n", + "Epoch 15/100\n", + "274/274 [==============================] - 2s 6ms/step - loss: 100.8923 - mean_squared_error: 100.8923\n", + "Epoch 16/100\n", + "274/274 [==============================] - 2s 6ms/step - loss: 87.8484 - mean_squared_error: 87.8484\n", + "Epoch 17/100\n", + "274/274 [==============================] - 2s 6ms/step - loss: 77.6876 - mean_squared_error: 77.6876\n", + "Epoch 18/100\n", + "274/274 [==============================] - 2s 6ms/step - loss: 63.2032 - mean_squared_error: 63.2032\n", + "Epoch 19/100\n", + "274/274 [==============================] - 2s 6ms/step - loss: 57.2543 - mean_squared_error: 57.2543\n", + "Epoch 20/100\n", + "274/274 [==============================] - 2s 6ms/step - loss: 45.0924 - mean_squared_error: 45.0924\n", + "Epoch 21/100\n", + "274/274 [==============================] - 2s 6ms/step - loss: 49.1593 - mean_squared_error: 49.1593\n", + "Epoch 22/100\n", + "274/274 [==============================] - 2s 7ms/step - loss: 58.2306 - mean_squared_error: 58.2306\n", + "Epoch 23/100\n", + "274/274 [==============================] - 2s 6ms/step - loss: 48.0242 - mean_squared_error: 48.0242\n", + "Epoch 24/100\n", + "274/274 [==============================] - 2s 6ms/step - loss: 38.6356 - mean_squared_error: 38.6356\n", + "Epoch 25/100\n", + "274/274 [==============================] - 2s 6ms/step - loss: 30.9926 - mean_squared_error: 30.9926\n", + "Epoch 26/100\n", + "274/274 [==============================] - 2s 6ms/step - loss: 29.7819 - mean_squared_error: 29.7819\n", + "Epoch 27/100\n", + "274/274 [==============================] - 2s 6ms/step - loss: 32.5139 - mean_squared_error: 32.5139\n", + "Epoch 28/100\n", + "274/274 [==============================] - 2s 6ms/step - loss: 40.1129 - mean_squared_error: 40.1129\n", + "Epoch 29/100\n", + "274/274 [==============================] - 2s 6ms/step - loss: 51.6793 - mean_squared_error: 51.6793\n", + "Epoch 30/100\n", + "274/274 [==============================] - 2s 6ms/step - loss: 37.1284 - mean_squared_error: 37.1284\n", + "Epoch 31/100\n", + "274/274 [==============================] - 2s 5ms/step - loss: 30.2074 - mean_squared_error: 30.2074\n", + "Epoch 32/100\n", + "274/274 [==============================] - 2s 6ms/step - loss: 27.1982 - mean_squared_error: 27.1982\n", + "Epoch 33/100\n", + "274/274 [==============================] - 2s 7ms/step - loss: 26.5477 - mean_squared_error: 26.5477\n", + "Epoch 34/100\n", + "274/274 [==============================] - 2s 6ms/step - loss: 25.7544 - mean_squared_error: 25.7544\n", + "Epoch 35/100\n", + "274/274 [==============================] - 2s 6ms/step - loss: 24.1754 - mean_squared_error: 24.1754\n", + "Epoch 36/100\n", + "274/274 [==============================] - 2s 5ms/step - loss: 27.5213 - mean_squared_error: 27.5213\n", + "Epoch 37/100\n", + "274/274 [==============================] - 2s 5ms/step - loss: 30.3435 - mean_squared_error: 30.3435\n", + "Epoch 38/100\n", + "274/274 [==============================] - 2s 5ms/step - loss: 32.7374 - mean_squared_error: 32.7374\n", + "Epoch 39/100\n", + "274/274 [==============================] - 2s 6ms/step - loss: 29.2545 - mean_squared_error: 29.2545\n", + "Epoch 40/100\n", + "274/274 [==============================] - 2s 6ms/step - loss: 28.4834 - mean_squared_error: 28.4834\n", + "Epoch 41/100\n", + "274/274 [==============================] - 2s 6ms/step - loss: 22.9177 - mean_squared_error: 22.9177\n", + "Epoch 42/100\n", + "274/274 [==============================] - 2s 6ms/step - loss: 21.6796 - mean_squared_error: 21.6796\n", + "Epoch 43/100\n", + "274/274 [==============================] - 2s 6ms/step - loss: 20.2429 - mean_squared_error: 20.2429\n", + "Epoch 44/100\n", + "274/274 [==============================] - 2s 6ms/step - loss: 21.2112 - mean_squared_error: 21.2112\n", + "Epoch 45/100\n", + "274/274 [==============================] - 2s 5ms/step - loss: 25.0341 - mean_squared_error: 25.0341\n", + "Epoch 46/100\n", + "274/274 [==============================] - 2s 6ms/step - loss: 22.3963 - mean_squared_error: 22.3963\n", + "Epoch 47/100\n", + "274/274 [==============================] - 2s 6ms/step - loss: 23.1122 - mean_squared_error: 23.1122\n", + "Epoch 48/100\n", + "274/274 [==============================] - 2s 6ms/step - loss: 28.0343 - mean_squared_error: 28.0343\n", + "Epoch 49/100\n", + "274/274 [==============================] - 2s 6ms/step - loss: 22.2908 - mean_squared_error: 22.2908\n", + "Epoch 50/100\n", + "274/274 [==============================] - 2s 6ms/step - loss: 21.7871 - mean_squared_error: 21.7871\n", + "Epoch 51/100\n", + "274/274 [==============================] - 2s 6ms/step - loss: 19.8841 - mean_squared_error: 19.8841\n", + "Epoch 52/100\n", + "274/274 [==============================] - 2s 6ms/step - loss: 20.5390 - mean_squared_error: 20.5390\n", + "Epoch 53/100\n", + "274/274 [==============================] - 2s 5ms/step - loss: 22.3869 - mean_squared_error: 22.3869\n", + "Epoch 54/100\n", + "274/274 [==============================] - 2s 6ms/step - loss: 20.6540 - mean_squared_error: 20.6540\n", + "Epoch 55/100\n", + "274/274 [==============================] - 2s 6ms/step - loss: 18.3056 - mean_squared_error: 18.3056\n", + "Epoch 56/100\n", + "274/274 [==============================] - 2s 6ms/step - loss: 22.7574 - mean_squared_error: 22.7574\n", + "Epoch 57/100\n", + "274/274 [==============================] - 2s 6ms/step - loss: 20.1425 - mean_squared_error: 20.1425\n", + "Epoch 58/100\n", + "274/274 [==============================] - 2s 6ms/step - loss: 17.5521 - mean_squared_error: 17.5521\n", + "Epoch 59/100\n", + "274/274 [==============================] - 2s 6ms/step - loss: 18.2735 - mean_squared_error: 18.2735\n", + "Epoch 60/100\n", + "274/274 [==============================] - 2s 6ms/step - loss: 17.6372 - mean_squared_error: 17.6372\n", + "Epoch 61/100\n", + "274/274 [==============================] - 2s 6ms/step - loss: 15.2790 - mean_squared_error: 15.2790\n", + "Epoch 62/100\n", + "274/274 [==============================] - 2s 6ms/step - loss: 12.9527 - mean_squared_error: 12.9527\n", + "Epoch 63/100\n", + "274/274 [==============================] - 2s 6ms/step - loss: 13.2732 - mean_squared_error: 13.2732\n", + "Epoch 64/100\n", + "274/274 [==============================] - 2s 7ms/step - loss: 18.0740 - mean_squared_error: 18.0740\n", + "Epoch 65/100\n", + "274/274 [==============================] - 2s 6ms/step - loss: 23.5823 - mean_squared_error: 23.5823\n", + "Epoch 66/100\n", + "274/274 [==============================] - 2s 6ms/step - loss: 22.4731 - mean_squared_error: 22.4731\n", + "Epoch 67/100\n", + "274/274 [==============================] - 2s 6ms/step - loss: 17.0889 - mean_squared_error: 17.0889\n", + "Epoch 68/100\n", + "274/274 [==============================] - 2s 6ms/step - loss: 13.5507 - mean_squared_error: 13.5507\n", + "Epoch 69/100\n", + "274/274 [==============================] - 2s 6ms/step - loss: 14.6270 - mean_squared_error: 14.6270\n", + "Epoch 70/100\n", + "274/274 [==============================] - 2s 6ms/step - loss: 15.7420 - mean_squared_error: 15.7420\n", + "Epoch 71/100\n", + "274/274 [==============================] - 2s 6ms/step - loss: 15.6920 - mean_squared_error: 15.6920\n", + "Epoch 72/100\n", + "274/274 [==============================] - 2s 6ms/step - loss: 17.8469 - mean_squared_error: 17.8469\n", + "Epoch 73/100\n", + "274/274 [==============================] - 2s 6ms/step - loss: 20.0690 - mean_squared_error: 20.0690\n", + "Epoch 74/100\n", + "274/274 [==============================] - 2s 6ms/step - loss: 16.4538 - mean_squared_error: 16.4538\n", + "Epoch 75/100\n", + "274/274 [==============================] - 2s 6ms/step - loss: 13.7226 - mean_squared_error: 13.7226\n", + "Epoch 76/100\n", + "274/274 [==============================] - 2s 6ms/step - loss: 11.6082 - mean_squared_error: 11.6082\n", + "Epoch 77/100\n", + "274/274 [==============================] - 2s 6ms/step - loss: 11.4206 - mean_squared_error: 11.4206\n", + "Epoch 78/100\n", + "274/274 [==============================] - 2s 6ms/step - loss: 12.9487 - mean_squared_error: 12.9487\n", + "Epoch 79/100\n", + "274/274 [==============================] - 2s 7ms/step - loss: 14.9138 - mean_squared_error: 14.9138\n", + "Epoch 80/100\n", + "274/274 [==============================] - 2s 6ms/step - loss: 16.7601 - mean_squared_error: 16.7601\n", + "Epoch 81/100\n", + "274/274 [==============================] - 2s 7ms/step - loss: 16.3490 - mean_squared_error: 16.3490\n", + "Epoch 82/100\n", + "274/274 [==============================] - 2s 6ms/step - loss: 12.4280 - mean_squared_error: 12.4280\n", + "Epoch 83/100\n", + "274/274 [==============================] - 2s 6ms/step - loss: 9.2046 - mean_squared_error: 9.2046\n", + "Epoch 84/100\n", + "274/274 [==============================] - 2s 6ms/step - loss: 8.5721 - mean_squared_error: 8.5721\n", + "Epoch 85/100\n", + "274/274 [==============================] - 2s 7ms/step - loss: 9.8912 - mean_squared_error: 9.8912\n", + "Epoch 86/100\n", + "274/274 [==============================] - 2s 6ms/step - loss: 10.4523 - mean_squared_error: 10.4523\n", + "Epoch 87/100\n", + "274/274 [==============================] - 2s 6ms/step - loss: 19.6175 - mean_squared_error: 19.6175\n", + "Epoch 88/100\n", + "274/274 [==============================] - 2s 6ms/step - loss: 16.5808 - mean_squared_error: 16.5808\n", + "Epoch 89/100\n", + "274/274 [==============================] - 2s 5ms/step - loss: 15.8564 - mean_squared_error: 15.8564\n", + "Epoch 90/100\n", + "274/274 [==============================] - 2s 6ms/step - loss: 12.2800 - mean_squared_error: 12.2800\n", + "Epoch 91/100\n", + "274/274 [==============================] - 2s 6ms/step - loss: 10.0090 - mean_squared_error: 10.0090\n", + "Epoch 92/100\n", + "274/274 [==============================] - 2s 6ms/step - loss: 9.4647 - mean_squared_error: 9.4647\n", + "Epoch 93/100\n", + "274/274 [==============================] - 2s 6ms/step - loss: 10.7999 - mean_squared_error: 10.7999\n", + "Epoch 94/100\n", + "274/274 [==============================] - 2s 6ms/step - loss: 10.2449 - mean_squared_error: 10.2449\n", + "Epoch 95/100\n", + "274/274 [==============================] - 2s 6ms/step - loss: 10.0525 - mean_squared_error: 10.0525\n", + "Epoch 96/100\n", + "274/274 [==============================] - 2s 5ms/step - loss: 11.3375 - mean_squared_error: 11.3375\n", + "Epoch 97/100\n", + "274/274 [==============================] - 2s 6ms/step - loss: 11.6955 - mean_squared_error: 11.6955\n", + "Epoch 98/100\n", + "274/274 [==============================] - 2s 6ms/step - loss: 11.2546 - mean_squared_error: 11.2546\n", + "Epoch 99/100\n", + "274/274 [==============================] - 2s 6ms/step - loss: 10.2126 - mean_squared_error: 10.2126\n", + "Epoch 100/100\n", + "274/274 [==============================] - 2s 6ms/step - loss: 8.5690 - mean_squared_error: 8.5690\n" ] }, { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 48, + "execution_count": 308, "metadata": {}, "output_type": "execute_result" } ], "source": [ "model.compile(loss= \"mean_squared_error\" , optimizer=\"adam\", metrics=[\"mean_squared_error\"])\n", - "model.fit(x, y, epochs=60)" + "model.fit(x, y, epochs=100)" ] }, { "cell_type": "code", - "execution_count": 49, + "execution_count": 309, "id": "bad4d35a", "metadata": {}, "outputs": [], "source": [ "x_test = pd.read_csv('test-A/in.tsv', sep='\\t', names=in_columns)\n", - "#y_test = pd.read_csv('dev-0/expected.tsv', sep='\\t',names=['rainfall'])\n", + "#y_test = pd.read_csv('test-A/expected.tsv', sep='\\t',names=['rainfall'])\n", "#x_test = x_test.drop(['nazwa_stacji', 'typ_zbioru'],axis=1)\n", "df_train = pd.read_csv('train/in.tsv', names=in_columns, sep='\\t')" ] }, { "cell_type": "code", - "execution_count": 50, + "execution_count": 310, "id": "a3b6fff0", "metadata": {}, "outputs": [ @@ -1270,7 +1353,7 @@ "9480" ] }, - "execution_count": 50, + "execution_count": 310, "metadata": {}, "output_type": "execute_result" } @@ -1282,7 +1365,7 @@ }, { "cell_type": "code", - "execution_count": 51, + "execution_count": 311, "id": "cdf89362", "metadata": {}, "outputs": [ @@ -1292,7 +1375,7 @@ "9480" ] }, - "execution_count": 51, + "execution_count": 311, "metadata": {}, "output_type": "execute_result" } @@ -1304,7 +1387,7 @@ }, { "cell_type": "code", - "execution_count": 52, + "execution_count": 312, "id": "fe00b876", "metadata": {}, "outputs": [ @@ -1691,7 +1774,7 @@ "[9480 rows x 73 columns]" ] }, - "execution_count": 52, + "execution_count": 312, "metadata": {}, "output_type": "execute_result" } @@ -1703,7 +1786,7 @@ }, { "cell_type": "code", - "execution_count": 53, + "execution_count": 313, "id": "657a7976", "metadata": {}, "outputs": [ @@ -2090,7 +2173,7 @@ "[720 rows x 73 columns]" ] }, - "execution_count": 53, + "execution_count": 313, "metadata": {}, "output_type": "execute_result" } @@ -2102,7 +2185,7 @@ }, { "cell_type": "code", - "execution_count": 54, + "execution_count": 314, "id": "1163c550", "metadata": {}, "outputs": [ @@ -2110,7 +2193,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "23/23 [==============================] - 0s 955us/step\n" + "23/23 [==============================] - 0s 2ms/step\n" ] } ], @@ -2120,7 +2203,7 @@ }, { "cell_type": "code", - "execution_count": 55, + "execution_count": 315, "id": "6c24ee76", "metadata": {}, "outputs": [ @@ -2128,7 +2211,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "23/23 [==============================] - 0s 1ms/step\n" + "23/23 [==============================] - 0s 2ms/step\n" ] } ],