V0 V1 V2 V3 V4 V5 V6 V7 V8 V9 V10 V11 V12 V13 V14 V15 V16 V17 V18 V19 V20 V21 V22 V23 V24 V25 V26 V27 V28 V29 V30 V31 V32 V33 V34 V35 V36 V37 target
0.566 0.016 -0.143 0.407 0.452 -0.901 -1.812 -2.36 -0.436 -2.114 -0.94 -0.307 -0.073 0.55 -0.484 0.0 -1.707 -1.162 -0.573 -0.991 0.61 -0.4 -0.063 0.356 0.8 -0.223 0.796 0.168 -0.45 0.136 0.109 -0.615 0.327 -4.627 -4.789 -5.101 -2.608 -3.508 0.175
0.968 0.437 0.066 0.566 0.194 -0.893 -1.566 -2.36 0.332 -2.114 0.188 -0.455 -0.134 1.109 -0.488 0.0 -0.977 -1.162 -0.571 -0.836 0.588 -0.802 -0.063 0.357 0.801 -0.144 1.057 0.338 0.671 -0.128 0.124 0.032 0.6 -0.843 0.16 0.364 -0.335 -0.73 0.676
1.013 0.568 0.235 0.37 0.112 -0.797 -1.367 -2.36 0.396 -2.114 0.874 -0.051 -0.072 0.767 -0.493 -0.212 -0.618 -0.897 -0.564 -0.558 0.576 -0.477 -0.063 0.355 0.961 -0.067 0.915 0.326 1.287 -0.009 0.361 0.277 -0.116 -0.843 0.16 0.364 0.765 -0.589 0.633
0.733 0.368 0.283 0.165 0.599 -0.679 -1.2 -2.086 0.403 -2.114 0.011 0.102 -0.014 0.769 -0.371 -0.162 -0.429 -0.897 -0.574 -0.564 0.272 -0.491 -0.063 0.352 1.435 0.113 0.898 0.277 1.298 0.015 0.417 0.279 0.603 -0.843 -0.065 0.364 0.333 -0.112 0.206
0.684 0.638 0.26 0.209 0.337 -0.454 -1.073 -2.086 0.314 -2.114 -0.251 0.57 0.199 -0.349 -0.342 -0.138 -0.391 -0.897 -0.572 -0.394 0.106 0.309 -0.259 0.352 0.881 0.221 0.386 0.332 1.289 0.183 1.078 0.328 0.418 -0.843 -0.215 0.364 -0.28 -0.028 0.384
0.445 0.627 0.408 0.22 0.458 -1.056 -1.009 -1.896 0.481 -2.114 -0.511 -0.564 0.294 0.912 -0.345 0.111 -0.333 -1.029 -0.573 -0.516 0.029 -0.56 -0.096 0.349 0.798 0.245 0.643 0.356 1.296 0.454 0.674 0.358 0.618 -0.843 -0.29 0.364 -0.191 -0.883 0.06
0.889 0.416 0.64 0.356 0.224 -0.893 -0.812 -1.823 0.729 -2.114 -0.256 -0.278 0.425 0.632 -0.3 0.111 -0.333 -1.428 -0.586 -0.544 0.156 -0.34 -0.063 0.352 0.801 0.389 0.5 0.401 2.15 0.454 0.081 0.243 0.468 -0.843 -0.29 0.364 -0.155 -1.318 0.415
0.984 0.529 0.704 0.438 0.258 -0.917 -0.682 -1.721 0.753 -2.114 -0.067 -0.24 0.272 0.78 -0.387 0.244 0.065 -1.162 -0.579 -0.465 0.254 -0.442 -0.259 0.366 0.798 0.56 0.423 0.409 2.153 0.139 -0.05 0.428 -0.119 -0.843 -0.29 0.364 0.1 -0.899 0.609
0.948 0.85 0.584 0.459 0.591 -0.523 -0.591 -1.524 0.763 -2.114 0.205 0.422 0.387 -0.288 -0.264 0.293 0.166 -1.162 -0.566 -0.173 0.25 0.31 -0.259 0.366 0.798 0.577 -0.035 0.49 0.511 0.188 0.467 0.597 -0.057 -0.843 -0.29 0.364 0.053 -0.553 0.981
1.157 1.055 0.638 0.617 1.483 -0.731 -0.612 -1.524 0.968 -2.114 0.145 0.179 0.688 -0.14 -0.289 0.317 0.195 -0.897 -0.567 -0.557 0.263 0.241 -0.259 0.358 -0.612 0.493 -0.172 0.512 0.511 0.86 0.456 0.916 0.039 -0.843 -0.29 0.364 0.151 -1.157 0.818
1.116 1.112 0.612 0.639 0.919 -0.895 -0.656 -1.418 0.891 -2.114 0.122 -0.275 1.083 0.429 -0.256 1.017 0.161 -0.963 -0.575 -0.381 0.22 -0.173 -0.259 0.367 -1.312 0.317 -0.335 0.521 0.042 0.86 -0.097 0.795 -0.452 -0.843 -0.29 0.364 -0.054 -0.426 0.877
1.093 1.12 0.522 0.797 0.953 -0.619 -0.591 -1.39 1.044 -2.114 0.817 0.431 1.472 -0.45 -0.332 1.112 0.282 -1.118 -0.568 0.51 0.176 1.156 -0.259 -0.618 -1.313 0.267 -0.54 0.326 0.743 1.654 0.755 0.903 -0.627 -0.843 -2.315 -0.289 -0.054 0.079 1.077
-0.632 -0.959 -0.474 1.194 -0.17 -0.572 -0.779 -1.35 -1.034 -2.114 0.025 0.514 -0.419 -0.099 -0.371 1.592 0.293 -0.897 -0.583 0.466 -0.649 2.259 -0.063 -0.619 -1.314 0.055 -0.479 -0.272 0.189 1.873 -0.613 -0.949 -0.716 -0.843 -2.315 -0.289 0.41 1.837 -1.099
-0.999 -1.343 -0.454 1.156 -0.523 -0.786 -0.988 -1.463 -1.948 -2.114 -1.603 0.036 -0.751 0.569 -0.402 2.064 -0.929 -0.897 0.064 0.423 -0.72 1.76 -0.063 -0.631 -1.314 -0.161 -0.26 -0.181 -0.457 1.873 0.023 -1.803 -0.512 -0.441 -0.918 -0.943 -0.737 1.314 -1.656
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-0.638 -0.312 -0.059 0.831 -0.223 -0.907 -1.403 -1.878 -1.317 -2.114 -1.014 -0.306 0.189 1.305 -0.29 0.721 -1.66 -1.162 -1.273 0.275 -0.402 1.162 -0.063 -1.55 0.233 -0.669 -0.453 -0.073 1.288 0.834 0.194 -1.006 1.002 -1.76 -0.852 -2.131 -1.14 0.003 -0.735
0.375 0.422 0.369 0.929 0.132 -1.599 -1.263 -1.878 -0.323 -2.114 -1.0 -1.372 0.528 1.123 -0.265 0.665 -1.268 -1.162 -0.389 0.197 0.048 1.332 -0.621 -0.638 0.232 -0.476 -0.599 0.105 1.286 0.163 -0.123 -0.342 0.913 -0.613 -0.571 -0.943 -0.891 -0.536 -0.153
0.211 0.385 0.491 1.182 -0.035 -1.287 -1.127 -1.84 -0.612 -2.114 -0.11 -0.868 0.453 1.147 -0.218 0.055 -1.077 -1.251 -0.388 0.202 0.098 1.367 -0.156 -0.647 0.232 -0.319 -0.374 0.119 1.284 0.131 -0.574 -0.363 0.17 -0.613 -0.548 -0.943 -0.084 -0.78 0.054
-0.041 0.093 0.354 1.264 -0.221 -1.078 -1.028 -1.801 -0.749 -2.114 0.205 -0.544 0.201 1.428 -0.294 -0.251 -0.887 -1.428 2.684 0.256 -0.101 1.184 -0.063 -0.31 0.79 -0.211 -0.106 -0.004 1.284 -0.225 -0.564 -0.456 -0.524 3.171 2.635 -1.596 0.267 -0.123 0.037
0.369 0.479 0.723 1.36 0.072 -0.747 -0.888 -1.746 0.099 -2.114 -0.114 0.071 0.072 1.223 -0.261 -0.251 -0.653 -1.162 3.619 -0.048 -0.056 1.421 -0.259 -0.836 0.798 -0.117 0.205 0.172 1.284 -0.405 -0.861 -0.058 -0.894 3.802 1.173 -0.943 -0.474 -0.824 0.295
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工业蒸汽预测——机器学习jupyter notebook笔记本
共32个文件
ipynb:14个
py:5个
xml:5个
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机器学习实战.zip (32个子文件)
机器学习实战
工业蒸汽预测——笔记
工业蒸汽-05特征优化.ipynb 7KB
outliers.png 48KB
工业蒸汽—4模型验证.ipynb 242KB
工业蒸汽-2特征工程.ipynb 1.01MB
工业蒸汽-1数据探索.ipynb 4.52MB
工业蒸汽-6模型融合.ipynb 4.05MB
工业控制-3模型训练.ipynb 1.17MB
zhengqi_test.txt 454KB
.ipynb_checkpoints
工业蒸汽-1数据探索-checkpoint.ipynb 5.95MB
工业蒸汽-05特征优化-checkpoint.ipynb 72B
工业蒸汽-6模型融合-checkpoint.ipynb 4.05MB
工业蒸汽-2特征工程-checkpoint.ipynb 1.01MB
工业控制-3模型训练-checkpoint.ipynb 1.12MB
四、函数式编程-checkpoint.ipynb 6KB
工业蒸汽—4模型验证-checkpoint.ipynb 189KB
zhengqi_train.txt 695KB
四、函数式编程.ipynb 8KB
工业蒸汽预测
main.py 14KB
test.py 572B
特征工程.py 11KB
模型验证.py 19KB
.idea
misc.xml 192B
工业蒸汽预测.iml 324B
modules.xml 288B
workspace.xml 9KB
.gitignore 47B
inspectionProfiles
Project_Default.xml 707B
profiles_settings.xml 174B
模型训练.py 14KB
zhengqi_test.txt 454KB
zhengqi_train.txt 695KB
.DS_Store 6KB
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