Weather casting with Machine Learning (SVM and SRNN).
Dependencies: EthernetInterface GraphicHandler NTPClient SRNN SVM SensorModule mbed-rtos mbed
dat/SVM_SAMP.txt
- Committer:
- yukari_hinata
- Date:
- 2015-02-22
- Revision:
- 6:29d393d430d0
File content as of revision 6:29d393d430d0:
weather,temperture,air pressure,humidity shiny,22.7,1004.4,46 shiny,2.3,1015.4,49 shiny,6.2,1023.7,61 shiny,26.6,1007.8,54 shiny,5.9,1013.3,36 shiny,-1.4,1022.5,73 shiny,12.7,1019,72 shiny,8,1012.8,56 shiny,17.5,1017.5,57 shiny,6.7,1008.2,31 shiny,-5.5,1020,71 shiny,3.4,1019.5,55 shiny,22.4,1010.8,74 shiny,15.9,1015.3,59 shiny,-6.4,1013.1,69 shiny,8.3,1019.9,79 shiny,15,1015,60 shiny,20.9,1013.9,65 shiny,13.4,1012.2,57 shiny,12.7,1014.8,60 shiny,25.1,1012.1,53 shiny,6.8,1022.1,64 shiny,15,1001.5,50 shiny,9.9,1015.2,61 shiny,24.8,1007.3,64 shiny,14.4,1017.8,64 shiny,-7,1017.7,64 shiny,5.9,1021.6,64 shiny,4.5,1019.6,48 shiny,18,1014.9,53 cloudy,9.6,1019.5,65 cloudy,24.8,1011.6,83 cloudy,14,1018.5,53 cloudy,11,1010.3,77 cloudy,5.4,1017.2,67 cloudy,12.8,995.9,77 cloudy,24.1,1009.3,65 cloudy,16.9,1015.7,63 cloudy,20.1,1011.6,77 cloudy,25,999.9,86 cloudy,21.7,1016.5,71 cloudy,3.8,1013,37 cloudy,18.6,1014.8,52 cloudy,5.3,1018.1,67 cloudy,19.1,1003.5,81 cloudy,14,1013.5,78 cloudy,15.9,1013.2,63 cloudy,7,1017.5,51 cloudy,19.8,1014.9,65 cloudy,17.6,1016.4,67 cloudy,10.7,1018.6,73 cloudy,20.8,999.9,50 cloudy,25.3,1011.5,63 cloudy,23.7,1003.4,85 cloudy,27.2,1000.5,57 cloudy,-6.1,1011.5,75 cloudy,21.9,1011.3,62 cloudy,23.6,1007.2,84 cloudy,5.3,1015.5,61 cloudy,27.5,1007.2,78 rainy,6.1,1005.8,84 rainy,8.4,1012.8,81 rainy,21.8,1006.6,88 rainy,8.1,1001.2,83 rainy,25.5,996.2,89 rainy,6.4,1005.4,77 rainy,8.2,1000.8,91 rainy,6.1,1010.4,93 rainy,16.8,1012.7,85 rainy,21.6,1004.6,90 rainy,23.8,988.4,78 rainy,20.6,993.9,76 rainy,17.6,1003.5,87 rainy,18.6,993.6,97 rainy,10.1,1020.3,82 rainy,7.5,1014.4,82 rainy,23.5,1000.1,87 rainy,25.7,992.8,78 rainy,25.5,1007.3,93 rainy,23.6,1009.5,84 rainy,18.7,1008.4,84 rainy,24.9,996.2,90 rainy,5.3,1014.6,86 rainy,21.8,1012.3,79 rainy,8.2,1016.9,81 rainy,4.8,1004.5,79 rainy,25.2,991.5,91 rainy,6.9,1007.1,87 rainy,11.1,1010.9,85 rainy,20.2,1003.6,88 snowy,1.6,1007.3,74 snowy,-5.7,1005.9,65 snowy,0.5,995.7,56 snowy,1.1,1011.9,91 snowy,0,1016.9,69 snowy,2.8,1018.3,50 snowy,1.5,1018.1,71 snowy,0.7,1002.5,77 snowy,-3.7,1019.7,73 snowy,1.7,1011.6,89 snowy,1.8,1009.5,74 snowy,1.1,989.9,78 snowy,-2.4,1007.1,88 snowy,-5.7,1013.9,75 snowy,1.4,1021.8,83 snowy,0.7,1025.6,78 snowy,-4.8,1004.1,74 snowy,1.1,1009.8,66 snowy,0.3,1024,77 snowy,-7.6,1017.1,63 snowy,-2.9,1010.1,77 snowy,-4.2,1005,73 snowy,2.9,1009.1,50 snowy,-0.1,1023.7,65 snowy,2,1029.8,75 snowy,4.4,1020.8,56 snowy,-6.5,1017.2,78 snowy,0.1,1012,72 snowy,0.7,998.2,81 snowy,0.1,990,81