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