Elements retrieved from the 'property database' are structured as in the example below.
I'd ask WP2 members to edit and comment the lines below adding the following information for each key :
(1) if the key contains the value of the predictor (hence it must be used by ML algorithms),
(2) if the key contains relevant information which 'can' be used 'as' a predictor (for example the standard deviation 'sigma' can be used but it is not mandatory), or
(3) the key does not contain relevant information and it should not be used for learning/prediction.
Below I commented some lines as an example :
{
"data":[
{
"data":{
"alpha_exp_cwt_blos":{
"alpha":-0.9320463538169861, <---- value of the predictor USE
"fit_r":-0.9955066442489624, <---- is a parameter ? DON'T USE
"sigma":0.0149855138733983 <---- standard deviation of the predictor IT CAN BE USED },
"alpha_exp_cwt_br":{
"alpha":-0.8825041055679321,
"fit_r":-0.9950829744338989,
"sigma":0.01484755612909794
},
"alpha_exp_cwt_btot":{
"alpha":-1.000222444534302,
"fit_r":-0.9861923456192017,
"sigma":0.02839041128754616
},
"alpha_exp_fft_blos":{
"alpha":-1.027253031730652,
"fit_r":-0.8860970735549927,
"sigma":0.0676979273557663
},
"alpha_exp_fft_br":{
"alpha":-0.9775007963180542,
"fit_r":-0.8845617175102234,
"sigma":0.06493799388408661
},
"alpha_exp_fft_btot":{
"alpha":-0.8710989952087402,
"fit_r":-0.8559461832046509,
"sigma":0.06629730015993118
},
"beff_blos":{
"beff":0.0, <---- USE
"err_sep_length":0.0, <---- ?
"err_signed_flux":0.0, <---- ?
"sep_length":0.0, <---- ?
"signed_flux":0.0 <---- ?
},
"beff_br":{
"beff":0.0,
"err_sep_length":0.0,<---- USE
"err_signed_flux":0.0,
"sep_length":0.0,
"signed_flux":0.0
},
"decay_index_blos":{
"l_over_min_hmin":0.0, <---- USE ?
"lmax_over_hmin":0.0, <---- USE ?
"max_l_over_hmin":0.0, <---- USE ?
"tot_l_over_hmin":0.0 <---- USE ?
},
"decay_index_br":{
"l_over_min_hmin":0.0,
"lmax_over_hmin":0.0,
"max_l_over_hmin":0.0,
"tot_l_over_hmin":0.0
},
"flare_association":{
"f_etime_tau":null,
"f_mag":"",
"f_ptime_tau":null,
"f_stime_tau":null
},
"ising_energy_blos":{
"ising_energy":17.4415225982666,
"num_neg":3497.0,
"num_pos":49.0
},
"ising_energy_br":{
"ising_energy":0.0,
"num_neg":284.0,
"num_pos":0.0
},
"ising_energy_part_blos":{
"ising_energy_part":0.002879713661968708,
"num_neg":4.0,
"num_pos":7.0
},
"ising_energy_part_br":{
"ising_energy_part":0.0003076923021581024,
"num_neg":1.0,
"num_pos":1.0
},
"mpil_blos":{
"max_length":0.0,
"tot_length":0.0,
"tot_usflux":0.0
},
"mpil_br":{
"max_length":0.0,
"tot_length":0.0,
"tot_usflux":0.0
},
"nn_currents":{
"err_inet":91278491054615040000,
"err_ipn_nn":4.715529918670654,
"err_its":[
64917928477104010000,
64167164345472520000,
... many zeros here ....
],
"err_its_pot":[
64917928477104010000,
64167164345472520000,... many zeros here ....
],
"err_tot_neg":0.0,
"err_tot_pos":0.0,
"err_tot_us_cur":0.0,
"flimb":0.1071751043200493,
"iimb":[
1.0,
1.0
],
"ipn_nn":1.0,
"its":[
-75480620025799250000,
-27374923626785540000,... many zeros here ....
],
"its_pot":[
-3359994009907888000,
881065811530219500,... many zeros here ....
],
"net_curr":0.0,
"num_currents":2.0,
"tot_neg":0.0,
"tot_pos":0.0,
"tot_us_cur":0.0
},
"r_value_blos_logr":0.0,
"r_value_br_logr":0.0,
"srs":{
"area":0,
"dlong_hg":0,
"mcint_com":"",
"mcint_pen":"",
"mcint_zur":"",
"mtwil_class":"",
"n_spots":0
},
"wlsg_blos":{
"tot_len_pil":0.0,
"value_int":0.0,
"value_tot":0.0
},
"wlsg_br":{
"tot_len_pil":0.0,
"value_int":0.0,
"value_tot":0.0
}
},
"fc_id":"flarecast-production_01-00000000-0000-0000-0000-000000000046",
"lat_hg":18.4696006445173,
"long_carr":89.92517737846,
"long_hg":22.05396917846,
"meta":{
"harp":1678,
"nar":null,
"npr":null
},
"time_start":"2013-09-23T00:00:02+00:00"
}