机器学习算法工具箱

  • H4_418336
    了解作者
  • 4.7MB
    文件大小
  • rar
    文件格式
  • 0
    收藏次数
  • VIP专享
    资源类型
  • 0
    下载次数
  • 2022-04-26 03:16
    上传日期
机器学习算法工具箱,包括各种机器学习的算法(mstlab).
spider.rar
内容介绍
1 1:0.900259 2:0.165583 3:-0.120418 4:-0.279378 5:-0.428122 6:-0.970271 7:0.790403 8:0.020306 9:-0.602005 10:-0.945619 11:-0.686330 12:0.672751 13:-0.846166 14:-0.903333 15:0.957170 16:0.897035 17:0.756466 18:0.396707 19:0.232890 20:-0.265630 21:0.972499 22:-0.974924 23:-0.384975 24:0.620774 25:0.099864 26:-0.369579 27:-0.115568 28:0.521148 29:-0.693692 30:0.569371 1 1:0.213685 2:0.031024 3:-0.371565 4:-0.476461 5:0.006029 6:0.633462 7:-0.329833 8:0.030416 9:0.854206 10:0.998462 11:-0.811930 12:-0.656959 13:0.529823 14:0.599901 15:-0.276388 16:-0.336614 17:0.847665 18:0.673207 19:-0.646724 20:-0.396160 21:-0.190311 22:0.930162 23:0.659507 24:0.249604 25:-0.536080 26:0.506196 27:-0.466986 28:0.158464 29:0.298634 30:0.113511 1 1:0.524194 2:-0.548100 3:0.183050 4:0.142115 5:-0.775673 6:0.638786 7:-0.701379 8:0.644235 9:0.230974 10:-0.734856 11:-0.216766 12:-0.732058 13:-0.251514 14:-0.481442 15:0.286203 16:0.656334 17:0.265345 18:-0.803160 19:-0.140420 20:0.024575 21:0.695722 22:-0.062045 23:-0.850798 24:-0.449898 25:-0.114740 26:0.683276 27:0.900935 28:0.443131 29:-0.191198 30:-0.884735 1 1:-0.087065 2:0.159614 3:-0.760507 4:0.401714 5:-0.113420 6:0.242277 7:-0.728271 8:-0.364499 9:-0.993252 10:-0.379940 11:-0.494433 12:0.769573 13:-0.387537 14:0.426459 15:-0.509565 16:0.286801 17:0.507488 18:-0.251689 19:-0.578135 20:0.982747 21:0.053697 22:0.434651 23:0.500432 24:-0.036912 25:-0.897095 26:0.566915 27:0.673158 28:0.682878 29:0.599029 30:0.593633 1 1:-0.962993 2:0.520730 3:-0.923742 4:0.924577 5:-0.066475 6:0.120444 7:0.064996 8:0.175394 9:0.964025 10:-0.730425 11:-0.291236 12:0.029475 13:-0.258601 14:0.440739 15:-0.063973 16:-0.355450 17:0.539326 18:0.934958 19:0.181980 20:-0.631857 21:0.614807 22:0.717742 23:-0.062189 24:-0.199618 25:0.993293 26:0.995659 27:0.791752 28:0.642500 29:-0.680836 30:0.119021 1 1:0.642814 2:0.059646 3:-0.082804 4:0.501036 5:-0.970662 6:-0.511937 7:0.451579 8:-0.739597 9:0.799026 10:-0.553347 11:0.485956 12:0.927271 13:0.413494 14:0.466553 15:-0.005136 16:-0.947261 17:0.616072 18:0.239171 19:0.674406 20:0.117936 21:-0.213007 22:-0.628803 23:0.889828 24:0.404592 25:0.388753 26:0.172228 27:-0.489435 28:0.087129 29:-0.375146 30:0.542719 1 1:-0.110593 2:0.281053 3:0.739735 4:0.479986 5:0.328104 6:0.644015 7:-0.202594 8:-0.491291 9:0.385515 10:-0.206906 11:0.301664 12:-0.759011 13:-0.663267 14:0.244662 15:-0.850070 16:-0.289114 17:0.086668 18:0.340077 19:0.776576 20:-0.025902 21:0.923468 22:-0.075250 23:-0.972052 24:-0.357278 25:0.230043 26:-0.278439 27:0.042219 28:-0.271194 29:0.262155 30:0.990028 1 1:0.583874 2:-0.240363 3:-0.471102 4:0.268532 5:-0.436733 6:0.507269 7:-0.429441 8:0.335692 9:0.402046 10:-0.517883 11:0.665598 12:-0.239696 13:-0.067543 14:-0.695244 15:-0.909266 16:-0.402672 17:-0.117561 18:0.676071 19:0.925816 20:-0.014303 21:0.907460 22:-0.955791 23:0.476898 24:0.554972 25:0.659478 26:0.974440 27:0.312378 28:-0.339204 29:-0.891042 30:0.442658 1 1:0.843626 2:0.566657 3:-0.679399 4:0.606053 5:-0.476363 6:0.319290 7:0.737270 8:-0.972747 9:0.219430 10:0.855032 11:-0.060044 12:-0.174418 13:0.444571 14:-0.593355 15:-0.669775 16:-0.637554 17:0.252997 18:0.646196 19:0.539265 20:0.937688 21:0.428770 22:0.520812 23:0.271130 24:0.106806 25:0.958571 26:0.774416 27:-0.210305 28:-0.538906 29:0.738962 30:0.994651 1 1:0.833809 2:-0.881635 3:0.329862 4:-0.492879 5:0.805638 6:-0.633273 7:-0.540303 8:-0.869931 9:-0.805107 10:-0.680930 11:0.726174 12:0.340324 13:0.362678 14:0.198962 15:-0.038624 16:-0.191814 17:-0.416637 18:-0.634323 19:0.022111 20:-0.310336 21:0.940188 22:0.370509 23:-0.168166 24:0.560051 25:0.783976 26:-0.331390 27:0.261520 28:0.971552 29:0.512964 30:-0.387456 1 1:-0.884217 2:-0.169250 3:-0.725980 4:0.465301 5:0.657729 6:0.079202 7:-0.730564 8:0.844699 9:0.888469 10:-0.626021 11:0.573849 12:0.497299 13:0.890470 14:0.013535 15:0.251095 16:-0.381664 17:0.053911 18:-0.687679 19:0.659077 20:0.117297 21:0.820014 22:-0.005131 23:0.646038 24:0.970124 25:0.988553 26:0.796014 27:-0.073807 28:0.857913 29:-0.024114 30:-0.614997 1 1:-0.294264 2:-0.390003 3:0.637512 4:-0.155547 5:-0.667460 6:0.246788 7:-0.955013 8:0.122393 9:0.677111 10:0.982610 11:0.311964 12:-0.251869 13:0.226542 14:0.768265 15:0.982334 16:-0.993483 17:0.840416 18:0.850141 19:-0.715061 20:0.565439 21:0.352932 22:-0.802764 23:0.827821 24:-0.293655 25:0.562128 26:0.358330 27:-0.734823 28:-0.968348 29:0.746538 30:0.340704 1 1:0.626333 2:0.748734 3:-0.139668 4:0.922740 5:-0.212188 6:0.371780 7:-0.475601 8:0.304649 9:-0.483145 10:0.424060 11:-0.999920 12:-0.091527 13:0.565856 14:0.231136 15:-0.281556 16:-0.125182 17:-0.241729 18:-0.595690 19:-0.356736 20:-0.718465 21:0.246321 22:0.108875 23:0.672084 24:0.243983 25:0.703618 26:-0.736914 27:0.522089 28:0.455463 29:0.158151 30:-0.225873 1 1:-0.722218 2:0.535901 3:0.469816 4:0.106816 5:0.436248 6:0.753660 7:-0.861364 8:-0.787648 9:-0.988230 10:-0.040738 11:-0.010250 12:0.124864 13:0.593916 14:0.903849 15:0.356233 16:0.645826 17:-0.652522 18:0.378223 19:-0.413233 20:-0.589102 21:-0.993035 22:-0.637471 23:0.551175 24:0.630065 25:-0.455775 26:0.934896 27:-0.137735 28:-0.864102 29:0.626540 30:0.362097 1 1:-0.594470 2:0.941690 3:0.374647 4:-0.416032 5:0.138379 6:-0.974219 7:0.705861 8:-0.997853 9:0.148836 10:-0.007990 11:-0.923334 12:-0.255376 13:0.283633 14:-0.661939 15:0.017525 16:0.511691 17:0.571600 18:-0.198065 19:-0.840097 20:0.720983 21:-0.546223 22:-0.692376 23:-0.136144 24:-0.021872 25:-0.518314 26:-0.002474 27:0.718550 28:0.594967 29:0.390544 30:0.712306 1 1:-0.602557 2:0.980165 3:-0.307776 4:0.715927 5:-0.078388 6:-0.379196 7:-0.639339 8:0.083528 9:0.487804 10:-0.424936 11:-0.545128 12:0.585567 13:-0.643043 14:0.653342 15:-0.446281 16:-0.674722 17:-0.268738 18:-0.240834 19:0.856617 20:-0.485295 21:0.956915 22:0.867459 23:-0.127804 24:0.462919 25:-0.148153 26:-0.205836 27:-0.066038 28:-0.093396 29:-0.117403 30:-0.805804 1 1:-0.455624 2:-0.122683 3:-0.688775 4:0.360408 5:-0.824511 6:-0.385408 7:0.467853 8:-0.097325 9:0.275141 10:-0.475065 11:0.798938 12:-0.234171 13:-0.562513 14:0.694599 15:0.645671 16:0.050187 17:-0.315707 18:0.886701 19:-0.226455 20:-0.423667 21:-0.971230 22:0.997090 23:-0.973631 24:0.668823 25:-0.159918 26:0.536657 27:-0.869467 28:0.470502 29:0.762846 30:-0.248094 1 1:-0.602371 2:-0.003377 3:-0.617767 4:-0.893111 5:-0.113034 6:0.853357 7:0.073034 8:-0.608676 9:-0.497457 10:-0.627478 11:-0.372539 12:-0.494420 13:0.096105 14:-0.771754 15:0.882909 16:0.838711 17:0.548352 18:-0.052041 19:-0.027978 20:0.469551 21:-0.028446 22:0.381241 23:-0.248067 24:-0.978152 25:0.535048 26:0.966289 27:0.314034 28:0.154784 29:0.290240 30:0.031036 1 1:0.493571 2:0.286985 3:0.711951 4:-0.003391 5:-0.394932 6:-0.851357 7:-0.263084 8:0.237125 9:0.303102 10:-0.753443 11:-0.134022 12:0.935609 13:0.175174 14:-0.770370 15:-0.153542 16:-0.910395 17:-0.703515 18:0.639909 19:-0.188584 20:-0.890653 21:0.545805 22:0.551003 23:-0.427513 24:0.002535 25:0.385586 26:-0.066908 27:0.463064 28:-0.834509 29:-0.575228 30:0.283642 1 1:-0.068011 2:0.453264 3:-0.078460 4:0.233242 5:0.899519 6:-0.545693 7:0.732041 8:0.523406 9:0.860494 10:0.397282 11:0.016358 12:0.529134 13:-0.872179 14:-0.733403 15:0.888132 16:0.104047 17:0.857577 18:0.393309 19:0.913313 20:0.947323 21:0.564099 22:0.088207 23:-0.047581 24:0.588356 25:-0.225356 26:0.699394 27:-0.861194 28:0.291462 29:0.679715 30:0.600290 1 1:-0.594705 2:-0.120151 3:0.803220 4:0.582246 5:0.632411 6:0.164968 7:0.188729 8:-0.337778 9:-0.673443 10:-0.366621 11:0.772960 12:-0.263365 13:0.961453 14:0.131958 15:-0.382692 16:0.399849 17:-0.738053 18:0.445659 19:-0.034970 20:0.545334 21:0.325811 22:0.961199 23:0.557851 24:0.633556 25:0.403533 26:-0.105091 27:0.564315 28:-0.941791 29:-0.048618 30:-0.198247 1 1:0.663592 2:-0.732455 3:0.965976 4:0.073703 5:0.426709 6:0.541764 7:0.583663 8:0.604426 9:0.334864 10:0.537619 11:-0.869373 12:0.206246 13:0.869023 14:0.150320 15:0.691981 16:-0.271014 17:-0.233787 18:0.151416 19:-0.919455 20:0.316801 21:-0.330480 22:-0.242183 23:-0.932272
评论
    相关推荐