{ "cells": [ { "cell_type": "code", "execution_count": 1, "metadata": { "collapsed": true, "pycharm": { "name": "#%%\n" } }, "outputs": [], "source": [ "from sklearn.datasets import make_regression\n", "from sklearn.multioutput import MultiOutputRegressor\n", "from sklearn.svm import SVR\n", "from sklearn.model_selection import train_test_split\n", "from sklearn.metrics import mean_squared_error, mean_absolute_error\n", "import pandas as pd\n", "import matplotlib.pyplot as plt\n", "import seaborn as sns\n", "import numpy as np\n", "%matplotlib inline\n", "sns.set(color_codes=True)\n", "pal = sns.color_palette(\"viridis\", 10)\n", "sns.set_palette('muted')" ] }, { "cell_type": "markdown", "metadata": { "pycharm": { "name": "#%% md\n" } }, "source": [ "导入数据" ] }, { "cell_type": "code", "execution_count": 2, "metadata": { "collapsed": false, "pycharm": { "name": "#%%\n" } }, "outputs": [ { "data": { "text/plain": " Time index_A index_B index_C index_D \\\n0 2022-01-13 00:50:00 78.26 25.54 12.24 14.14 \n1 2022-01-13 01:50:00 78.16 25.27 12.24 14.32 \n2 2022-01-13 02:50:00 78.15 26.21 12.93 14.59 \n3 2022-01-13 03:50:00 78.39 25.22 12.93 14.28 \n4 2022-01-13 04:50:00 79.22 24.60 12.41 13.70 \n.. ... ... ... ... ... \n233 2022-01-22 19:50:00 79.76 22.00 11.72 18.84 \n234 2022-01-22 20:49:00 80.51 22.00 11.37 18.53 \n235 2022-01-22 21:50:00 80.16 21.78 10.85 17.90 \n236 2022-01-22 22:50:00 79.79 22.58 11.20 17.05 \n237 2022-01-22 23:50:00 80.19 21.69 10.68 17.19 \n\n Temperature_of_system1 Temperature_of_system2 Mineral_parameter1 \\\n0 1172.921864 813.665593 49.24 \n1 1095.891333 802.501333 49.24 \n2 854.920667 767.747500 49.24 \n3 854.837500 767.735333 49.24 \n4 843.975500 763.982667 49.24 \n.. ... ... ... \n233 1404.859000 931.219167 54.74 \n234 1404.868000 931.252167 54.74 \n235 1404.843167 931.226500 54.74 \n236 1404.845000 931.167833 54.74 \n237 1404.822833 931.238000 54.74 \n\n Mineral_parameter2 Mineral_parameter3 Mineral_parameter4 \n0 90.38 46.13 28.16 \n1 90.38 46.13 28.16 \n2 90.38 46.13 28.16 \n3 90.38 46.13 28.16 \n4 90.38 46.13 28.16 \n.. ... ... ... \n233 93.05 49.03 21.48 \n234 93.05 49.03 21.48 \n235 93.05 49.03 21.48 \n236 93.05 49.03 21.48 \n237 93.05 49.03 21.48 \n\n[238 rows x 11 columns]", "text/html": "
| \n | Time | \nindex_A | \nindex_B | \nindex_C | \nindex_D | \nTemperature_of_system1 | \nTemperature_of_system2 | \nMineral_parameter1 | \nMineral_parameter2 | \nMineral_parameter3 | \nMineral_parameter4 | \n
|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | \n2022-01-13 00:50:00 | \n78.26 | \n25.54 | \n12.24 | \n14.14 | \n1172.921864 | \n813.665593 | \n49.24 | \n90.38 | \n46.13 | \n28.16 | \n
| 1 | \n2022-01-13 01:50:00 | \n78.16 | \n25.27 | \n12.24 | \n14.32 | \n1095.891333 | \n802.501333 | \n49.24 | \n90.38 | \n46.13 | \n28.16 | \n
| 2 | \n2022-01-13 02:50:00 | \n78.15 | \n26.21 | \n12.93 | \n14.59 | \n854.920667 | \n767.747500 | \n49.24 | \n90.38 | \n46.13 | \n28.16 | \n
| 3 | \n2022-01-13 03:50:00 | \n78.39 | \n25.22 | \n12.93 | \n14.28 | \n854.837500 | \n767.735333 | \n49.24 | \n90.38 | \n46.13 | \n28.16 | \n
| 4 | \n2022-01-13 04:50:00 | \n79.22 | \n24.60 | \n12.41 | \n13.70 | \n843.975500 | \n763.982667 | \n49.24 | \n90.38 | \n46.13 | \n28.16 | \n
| ... | \n... | \n... | \n... | \n... | \n... | \n... | \n... | \n... | \n... | \n... | \n... | \n
| 233 | \n2022-01-22 19:50:00 | \n79.76 | \n22.00 | \n11.72 | \n18.84 | \n1404.859000 | \n931.219167 | \n54.74 | \n93.05 | \n49.03 | \n21.48 | \n
| 234 | \n2022-01-22 20:49:00 | \n80.51 | \n22.00 | \n11.37 | \n18.53 | \n1404.868000 | \n931.252167 | \n54.74 | \n93.05 | \n49.03 | \n21.48 | \n
| 235 | \n2022-01-22 21:50:00 | \n80.16 | \n21.78 | \n10.85 | \n17.90 | \n1404.843167 | \n931.226500 | \n54.74 | \n93.05 | \n49.03 | \n21.48 | \n
| 236 | \n2022-01-22 22:50:00 | \n79.79 | \n22.58 | \n11.20 | \n17.05 | \n1404.845000 | \n931.167833 | \n54.74 | \n93.05 | \n49.03 | \n21.48 | \n
| 237 | \n2022-01-22 23:50:00 | \n80.19 | \n21.69 | \n10.68 | \n17.19 | \n1404.822833 | \n931.238000 | \n54.74 | \n93.05 | \n49.03 | \n21.48 | \n
238 rows × 11 columns
\n| \n | index_A | \nindex_B | \nindex_C | \nindex_D | \nTemperature_of_system1 | \nTemperature_of_system2 | \nMineral_parameter1 | \nMineral_parameter2 | \nMineral_parameter3 | \nMineral_parameter4 | \n
|---|---|---|---|---|---|---|---|---|---|---|
| 0 | \n78.26 | \n25.54 | \n12.24 | \n14.14 | \n1172.921864 | \n813.665593 | \n49.24 | \n90.38 | \n46.13 | \n28.16 | \n
| 1 | \n78.16 | \n25.27 | \n12.24 | \n14.32 | \n1095.891333 | \n802.501333 | \n49.24 | \n90.38 | \n46.13 | \n28.16 | \n
| 2 | \n78.15 | \n26.21 | \n12.93 | \n14.59 | \n854.920667 | \n767.747500 | \n49.24 | \n90.38 | \n46.13 | \n28.16 | \n
| 3 | \n78.39 | \n25.22 | \n12.93 | \n14.28 | \n854.837500 | \n767.735333 | \n49.24 | \n90.38 | \n46.13 | \n28.16 | \n
| 4 | \n79.22 | \n24.60 | \n12.41 | \n13.70 | \n843.975500 | \n763.982667 | \n49.24 | \n90.38 | \n46.13 | \n28.16 | \n
| ... | \n... | \n... | \n... | \n... | \n... | \n... | \n... | \n... | \n... | \n... | \n
| 233 | \n79.76 | \n22.00 | \n11.72 | \n18.84 | \n1404.859000 | \n931.219167 | \n54.74 | \n93.05 | \n49.03 | \n21.48 | \n
| 234 | \n80.51 | \n22.00 | \n11.37 | \n18.53 | \n1404.868000 | \n931.252167 | \n54.74 | \n93.05 | \n49.03 | \n21.48 | \n
| 235 | \n80.16 | \n21.78 | \n10.85 | \n17.90 | \n1404.843167 | \n931.226500 | \n54.74 | \n93.05 | \n49.03 | \n21.48 | \n
| 236 | \n79.79 | \n22.58 | \n11.20 | \n17.05 | \n1404.845000 | \n931.167833 | \n54.74 | \n93.05 | \n49.03 | \n21.48 | \n
| 237 | \n80.19 | \n21.69 | \n10.68 | \n17.19 | \n1404.822833 | \n931.238000 | \n54.74 | \n93.05 | \n49.03 | \n21.48 | \n
238 rows × 10 columns
\n