diff --git a/solution.ipynb b/solution.ipynb index 2fc6474..f00a81b 100644 --- a/solution.ipynb +++ b/solution.ipynb @@ -2,7 +2,7 @@ "cells": [ { "cell_type": "code", - "execution_count": 4, + "execution_count": 1, "id": "ddcaf12b", "metadata": {}, "outputs": [], @@ -26,7 +26,7 @@ }, { "cell_type": "code", - "execution_count": 80, + "execution_count": 2, "id": "70e3b6e3", "metadata": {}, "outputs": [ @@ -36,7 +36,7 @@ "8760" ] }, - "execution_count": 80, + "execution_count": 2, "metadata": {}, "output_type": "execute_result" } @@ -50,39 +50,39 @@ }, { "cell_type": "code", - "execution_count": 81, + "execution_count": 3, "id": "44f404d6", "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "600" + "720" ] }, - "execution_count": 81, + "execution_count": 3, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "df_test = pd.read_csv('dev-0/in.tsv', names=in_columns, sep='\\t')\n", + "df_test = pd.read_csv('test-A/in.tsv', names=in_columns, sep='\\t')\n", "len(df_test)" ] }, { "cell_type": "code", - "execution_count": 82, + "execution_count": 4, "id": "c760402a", "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "9360" + "9480" ] }, - "execution_count": 82, + "execution_count": 4, "metadata": {}, "output_type": "execute_result" } @@ -94,7 +94,7 @@ }, { "cell_type": "code", - "execution_count": 83, + "execution_count": 5, "id": "06f39e15", "metadata": {}, "outputs": [], @@ -104,7 +104,7 @@ }, { "cell_type": "code", - "execution_count": 84, + "execution_count": 6, "id": "91c047f6", "metadata": {}, "outputs": [ @@ -298,7 +298,7 @@ "
9360 rows × 73 columns
\n", + "9480 rows × 73 columns
\n", "" ], "text/plain": [ @@ -430,11 +430,11 @@ "3 1 0 0 \n", "4 1 0 0 \n", ".. ... ... ... \n", - "595 0 0 0 \n", - "596 0 0 0 \n", - "597 0 0 0 \n", - "598 0 0 0 \n", - "599 0 0 0 \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", "\n", " id_stacji_249200490 id_stacji_249220150 id_stacji_249220180 \\\n", "0 0 0 0 \n", @@ -443,11 +443,11 @@ "3 0 0 0 \n", "4 0 0 0 \n", ".. ... ... ... \n", - "595 0 0 0 \n", - "596 0 0 0 \n", - "597 0 0 0 \n", - "598 0 0 0 \n", - "599 0 0 0 \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", "\n", " id_stacji_250190160 id_stacji_250190390 id_stacji_250210130 \\\n", "0 0 0 0 \n", @@ -456,11 +456,11 @@ "3 0 0 0 \n", "4 0 0 0 \n", ".. ... ... ... \n", - "595 0 0 0 \n", - "596 0 0 0 \n", - "597 0 0 0 \n", - "598 0 0 0 \n", - "599 0 0 0 \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", "\n", " id_stacji_251170090 ... miesiąc_3 miesiąc_4 miesiąc_5 miesiąc_6 \\\n", "0 0 ... 0 0 0 0 \n", @@ -469,11 +469,11 @@ "3 0 ... 0 1 0 0 \n", "4 0 ... 0 0 1 0 \n", ".. ... ... ... ... ... ... \n", - "595 0 ... 0 0 0 0 \n", - "596 0 ... 0 0 0 0 \n", - "597 0 ... 0 0 0 0 \n", - "598 0 ... 0 0 0 0 \n", - "599 0 ... 0 0 0 0 \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", "\n", " miesiąc_7 miesiąc_8 miesiąc_9 miesiąc_10 miesiąc_11 miesiąc_12 \n", "0 0 0 0 0 0 0 \n", @@ -482,16 +482,16 @@ "3 0 0 0 0 0 0 \n", "4 0 0 0 0 0 0 \n", ".. ... ... ... ... ... ... \n", - "595 0 1 0 0 0 0 \n", - "596 0 0 1 0 0 0 \n", - "597 0 0 0 1 0 0 \n", - "598 0 0 0 0 1 0 \n", - "599 0 0 0 0 0 1 \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", "\n", - "[9360 rows x 73 columns]" + "[9480 rows x 73 columns]" ] }, - "execution_count": 84, + "execution_count": 6, "metadata": {}, "output_type": "execute_result" } @@ -503,17 +503,17 @@ }, { "cell_type": "code", - "execution_count": 85, + "execution_count": 7, "id": "037f1315", "metadata": {}, "outputs": [], "source": [ - "x = x.iloc[:-600]" + "x = x.iloc[:-720]" ] }, { "cell_type": "code", - "execution_count": 86, + "execution_count": 8, "id": "e03bae07", "metadata": {}, "outputs": [ @@ -900,7 +900,7 @@ "[8760 rows x 73 columns]" ] }, - "execution_count": 86, + "execution_count": 8, "metadata": {}, "output_type": "execute_result" } @@ -911,7 +911,7 @@ }, { "cell_type": "code", - "execution_count": 87, + "execution_count": 9, "id": "ede98181", "metadata": {}, "outputs": [ @@ -1006,7 +1006,7 @@ "[8760 rows x 1 columns]" ] }, - "execution_count": 87, + "execution_count": 9, "metadata": {}, "output_type": "execute_result" } @@ -1019,7 +1019,7 @@ }, { "cell_type": "code", - "execution_count": 88, + "execution_count": 10, "id": "9a950571", "metadata": {}, "outputs": [], @@ -1030,13 +1030,14 @@ "model.add(Dense(32, activation= \"relu\"))\n", "model.add(Dense(64, activation= \"relu\"))\n", "model.add(Dense(32, activation= \"relu\"))\n", + "model.add(Dense(16, activation= \"relu\"))\n", "model.add(Dense(1))\n", "#model.summary() #Print model Summary" ] }, { "cell_type": "code", - "execution_count": 36, + "execution_count": 11, "id": "f68e43f9", "metadata": {}, "outputs": [], @@ -1048,7 +1049,7 @@ }, { "cell_type": "code", - "execution_count": 26, + "execution_count": 12, "id": "c1036c04", "metadata": {}, "outputs": [], @@ -1058,7 +1059,7 @@ }, { "cell_type": "code", - "execution_count": 66, + "execution_count": 13, "id": "cec44474", "metadata": {}, "outputs": [ @@ -1068,20 +1069,21 @@ "text": [ "(None, 73)9360 rows × 73 columns
\n", + "9480 rows × 73 columns
\n", "" ], "text/plain": [ " id_stacji_249180010 id_stacji_249190560 id_stacji_249200370 \\\n", - "0 0 0 0 \n", - "1 0 0 0 \n", - "2 0 0 0 \n", - "3 0 0 0 \n", - "4 0 0 0 \n", + "0 0 0 1 \n", + "1 0 0 1 \n", + "2 0 0 1 \n", + "3 0 0 1 \n", + "4 0 0 1 \n", "... ... ... ... \n", "8755 0 0 0 \n", "8756 0 0 0 \n", @@ -1576,11 +1738,11 @@ "8759 0 0 0 \n", "\n", " id_stacji_249200490 id_stacji_249220150 id_stacji_249220180 \\\n", - "0 1 0 0 \n", - "1 1 0 0 \n", - "2 1 0 0 \n", - "3 1 0 0 \n", - "4 1 0 0 \n", + "0 0 0 0 \n", + "1 0 0 0 \n", + "2 0 0 0 \n", + "3 0 0 0 \n", + "4 0 0 0 \n", "... ... ... ... \n", "8755 0 0 0 \n", "8756 0 0 0 \n", @@ -1627,22 +1789,22 @@ "8758 0 0 0 0 1 0 \n", "8759 0 0 0 0 0 1 \n", "\n", - "[9360 rows x 73 columns]" + "[9480 rows x 73 columns]" ] }, - "execution_count": 94, + "execution_count": 19, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "x_dev = pd.get_dummies(x_dev,columns = ['id_stacji','rok','miesiąc'])\n", - "x_dev" + "x_test = pd.get_dummies(x_test,columns = ['id_stacji','rok','miesiąc'])\n", + "x_test" ] }, { "cell_type": "code", - "execution_count": 95, + "execution_count": 20, "id": "657a7976", "metadata": {}, "outputs": [ @@ -1695,7 +1857,6 @@ "600 rows × 73 columns
\n", + "720 rows × 73 columns
\n", "" ], "text/plain": [ " id_stacji_249180010 id_stacji_249190560 id_stacji_249200370 \\\n", + "0 0 0 1 \n", + "1 0 0 1 \n", + "2 0 0 1 \n", + "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", + "\n", + " id_stacji_249200490 id_stacji_249220150 id_stacji_249220180 \\\n", "0 0 0 0 \n", "1 0 0 0 \n", "2 0 0 0 \n", "3 0 0 0 \n", "4 0 0 0 \n", ".. ... ... ... \n", - "595 0 0 0 \n", - "596 0 0 0 \n", - "597 0 0 0 \n", - "598 0 0 0 \n", - "599 0 0 0 \n", - "\n", - " id_stacji_249200490 id_stacji_249220150 id_stacji_249220180 \\\n", - "0 1 0 0 \n", - "1 1 0 0 \n", - "2 1 0 0 \n", - "3 1 0 0 \n", - "4 1 0 0 \n", - ".. ... ... ... \n", - "595 0 0 0 \n", - "596 0 0 0 \n", - "597 0 0 0 \n", - "598 0 0 0 \n", - "599 0 0 0 \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", "\n", " id_stacji_250190160 id_stacji_250190390 id_stacji_250210130 \\\n", "0 0 0 0 \n", @@ -1994,11 +2156,11 @@ "3 0 0 0 \n", "4 0 0 0 \n", ".. ... ... ... \n", - "595 0 0 0 \n", - "596 0 0 0 \n", - "597 0 0 0 \n", - "598 0 0 0 \n", - "599 0 0 0 \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", "\n", " id_stacji_251170090 ... miesiąc_3 miesiąc_4 miesiąc_5 miesiąc_6 \\\n", "0 0 ... 0 0 0 0 \n", @@ -2007,11 +2169,11 @@ "3 0 ... 0 1 0 0 \n", "4 0 ... 0 0 1 0 \n", ".. ... ... ... ... ... ... \n", - "595 0 ... 0 0 0 0 \n", - "596 0 ... 0 0 0 0 \n", - "597 0 ... 0 0 0 0 \n", - "598 0 ... 0 0 0 0 \n", - "599 0 ... 0 0 0 0 \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", "\n", " miesiąc_7 miesiąc_8 miesiąc_9 miesiąc_10 miesiąc_11 miesiąc_12 \n", "0 0 0 0 0 0 0 \n", @@ -2020,28 +2182,28 @@ "3 0 0 0 0 0 0 \n", "4 0 0 0 0 0 0 \n", ".. ... ... ... ... ... ... \n", - "595 0 1 0 0 0 0 \n", - "596 0 0 1 0 0 0 \n", - "597 0 0 0 1 0 0 \n", - "598 0 0 0 0 1 0 \n", - "599 0 0 0 0 0 1 \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", "\n", - "[600 rows x 73 columns]" + "[720 rows x 73 columns]" ] }, - "execution_count": 95, + "execution_count": 20, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "x_dev = x_dev.iloc[:-8760]\n", - "x_dev" + "x_test = x_test.iloc[:-8760]\n", + "x_test" ] }, { "cell_type": "code", - "execution_count": 96, + "execution_count": 21, "id": "1163c550", "metadata": {}, "outputs": [ @@ -2049,17 +2211,17 @@ "name": "stdout", "output_type": "stream", "text": [ - "19/19 [==============================] - 3s 996us/step\n" + "23/23 [==============================] - 0s 909us/step\n" ] } ], "source": [ - "pred= model.predict(x_dev)" + "pred= model.predict(x_test)" ] }, { "cell_type": "code", - "execution_count": 97, + "execution_count": 22, "id": "6c24ee76", "metadata": {}, "outputs": [ @@ -2067,12 +2229,14 @@ "name": "stdout", "output_type": "stream", "text": [ - "25.779205918526703\n" + "23/23 [==============================] - 0s 955us/step\n" ] } ], "source": [ - "print(np.sqrt(mean_squared_error(y_dev,pred))) " + "pred= model.predict(x_test)\n", + "out = pd.DataFrame(pred)\n", + "out.to_csv('test-A/out.tsv',sep='\\t',header=False, index=False)" ] } ], diff --git a/test-A/out.tsv b/test-A/out.tsv index 0d23deb..e31529c 100644 --- a/test-A/out.tsv +++ b/test-A/out.tsv @@ -1,720 +1,720 @@ -29.55983 -17.066145 -24.522696 -37.888725 -114.41998 -250.6422 -232.48305 -63.96794 -37.811752 -44.59175 -17.271067 -32.87349 -32.738182 -12.03214 -14.735246 -40.910267 -65.04993 -105.379814 -200.98819 -55.04252 -29.924784 -34.027046 -11.221535 -36.747 -28.05226 -12.978421 -7.508416 -13.987134 -43.48835 -88.7398 -144.72704 -84.6269 --0.4388075 --0.88515234 -17.108232 -30.318684 -32.879925 -11.971772 -7.7598643 -14.372249 -41.190475 -21.052076 -124.37265 -75.11379 -3.8765776 -3.472521 -17.512877 -41.69434 -33.426636 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