From b7c852da6914fc8afe6bfe92ee6faa444575b08d Mon Sep 17 00:00:00 2001 From: jsadler2 Date: Fri, 28 Apr 2023 13:49:54 -0500 Subject: [PATCH] [#214] training on later years --- .../rep_0/train_weights/.data-00000-of-00001 | Bin 22683 -> 22683 bytes .../nep_100/rep_0/train_weights/.index | Bin 1383 -> 1383 bytes .../rep_1/train_weights/.data-00000-of-00001 | Bin 22683 -> 22683 bytes .../nep_100/rep_1/train_weights/.index | Bin 1383 -> 1383 bytes .../rep_2/train_weights/.data-00000-of-00001 | Bin 22683 -> 22683 bytes .../nep_100/rep_2/train_weights/.index | Bin 1383 -> 1383 bytes .../rep_3/train_weights/.data-00000-of-00001 | Bin 22683 -> 22683 bytes .../nep_100/rep_3/train_weights/.index | Bin 1383 -> 1383 bytes .../rep_4/train_weights/.data-00000-of-00001 | Bin 22683 -> 22683 bytes .../nep_100/rep_4/train_weights/.index | Bin 1383 -> 1383 bytes .../rep_5/train_weights/.data-00000-of-00001 | Bin 22683 -> 22683 bytes .../nep_100/rep_5/train_weights/.index | Bin 1383 -> 1383 bytes 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b/2a_model/out/models/2_multitask_dense/nstates_10/nep_100/rep_9/train_weights/.index index 61272f7bb87e953110507cc781a8ca9c102700f5..fca8da765dd1decc802b05517619fec5cda2f275 100644 GIT binary patch delta 313 zcmaFJ`;d1+A#2D3HfR3H?-=d4nH9d6Yw(!zxjE!b+^@^xdTfT}#1Cfd*Fq$G1Wm;z ze_*tjynvNu@;pYi$@z?|?3{mDW@yQXO>SgW28waBI7ckrH+e0i4NIIc|F_9+8QoY{ zdF&6}G;56BWjf4G{jd_ukj0D&}d2GC*u5T*K8GxXVnSp@`#8|^K-D>g#wm<-p CHDwC` delta 313 zcmaFJ`;d1+A?v)a9jW}2-!a;8Gb?;C*WfWd)7gycS}5VW#W?;GT8xnY}^eN8V6KOgYTWaV=(yxlPXAz>qst0Y;*K^oyl8R z9a&Z0O#P?`)ZjGPhK++g;6cS_D;Wu}fAZLPMGGzjPGJCoK4u06CJ>|XQ`@`A6W9U) D4WMrJ diff --git a/2a_model/out/models/combined_FP_metrics.csv b/2a_model/out/models/combined_FP_metrics.csv index 090217ed..d16394da 100644 --- a/2a_model/out/models/combined_FP_metrics.csv +++ b/2a_model/out/models/combined_FP_metrics.csv @@ -1,2101 +1,2101 @@ model,rmse,TEmax,TEmaxt,TEmaxcrit,MImax,TE0,TE1,TE2,TE3,TE4,TE5,TE6,TE7,TE8,TEcrit0,TEcrit1,TEcrit2,TEcrit3,TEcrit4,TEcrit5,TEcrit6,TEcrit7,TEcrit8,MI0,MI1,MI2,MI3,MI4,MI5,MI6,MI7,MI8,MIcrit0,MIcrit1,MIcrit2,MIcrit3,MIcrit4,MIcrit5,MIcrit6,MIcrit7,MIcrit8,corr0,corr1,corr2,corr3,corr4,corr5,corr6,corr7,corr8,MImaxt,MImaxcrit,replicate,sink,source,site 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diff --git a/2a_model/out/models/combined_month_reach_metrics.csv b/2a_model/out/models/combined_month_reach_metrics.csv index 54fe0f81..ac8b3d00 100644 --- a/2a_model/out/models/combined_month_reach_metrics.csv +++ b/2a_model/out/models/combined_month_reach_metrics.csv @@ -1,508 +1,472 @@ date,site_id,rmse,nse,rmse_top10,rmse_bot10,rmse_logged,mean_bias,mean_bias_top10,mean_bias_bot10,nse_top10,nse_bot10,nse_logged,kge,variable,partition,nstates,rep_id,nepochs,model_id -1,01466500,2.228956,-1.820593,4.280953,0.389574,0.395412,-1.773855,-4.245998,0.031105,-61.501475,0.023531,-2.250267,-0.185946,do_min,train,10,0,100,0_baseline_LSTM -1,01472104,0.90895,-0.353237,1.404168,0.915913,0.072676,-0.421611,-1.281292,0.450926,-45.697867,-13.340108,-0.379933,0.35593,do_min,train,10,0,100,0_baseline_LSTM -1,01472119,1.016883,-0.205152,1.404429,1.800627,0.086303,0.048401,-1.248119,1.466202,-14.894148,-3.742916,-0.15631,0.210475,do_min,train,10,0,100,0_baseline_LSTM 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7,01481500,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,K600,val,10,1,100,1_metab_multitask 8,01466500,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,K600,val,10,1,100,1_metab_multitask 8,01472104,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,K600,val,10,1,100,1_metab_multitask @@ -23397,15 +22845,15 @@ date,site_id,rmse,nse,rmse_top10,rmse_bot10,rmse_logged,mean_bias,mean_bias_top1 8,014721254,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,K600,val,10,1,100,1_metab_multitask 8,014721259,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,K600,val,10,1,100,1_metab_multitask 8,01473499,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,K600,val,10,1,100,1_metab_multitask -8,01473500,2.409755,-0.451756,5.467041,1.354284,0.591974,-1.337782,-5.463733,1.348703,-1050.11719,-197.114946,-0.270453,-0.553498,K600,val,10,1,100,1_metab_multitask +8,01473500,1.277077,-0.090361,2.816545,1.994597,0.389107,0.303438,-2.545468,1.956315,-4.409336,-26.279434,-0.197567,-0.479366,K600,val,10,1,100,1_metab_multitask 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5,01472104,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,K600,val,10,2,100,1_metab_multitask @@ -27765,15 +27117,15 @@ date,site_id,rmse,nse,rmse_top10,rmse_bot10,rmse_logged,mean_bias,mean_bias_top1 5,014721254,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,K600,val,10,2,100,1_metab_multitask 5,014721259,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,K600,val,10,2,100,1_metab_multitask 5,01473499,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,K600,val,10,2,100,1_metab_multitask -5,01473500,0.811964,-1.330073,0.949261,0.905663,0.416547,0.502321,-0.872127,0.859657,-9.820604,-7848.038226,-1.410778,-0.193534,K600,val,10,2,100,1_metab_multitask +5,01473500,4.135265,-35.297554,2.993293,5.370071,1.103688,4.065575,2.946824,5.34929,-57.820323,-411.810489,-9.977765,-0.952708,K600,val,10,2,100,1_metab_multitask 5,01473675,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,K600,val,10,2,100,1_metab_multitask 5,01473780,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,K600,val,10,2,100,1_metab_multitask 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7,01472104,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,K600,val,10,2,100,1_metab_multitask @@ -27797,15 +27149,15 @@ date,site_id,rmse,nse,rmse_top10,rmse_bot10,rmse_logged,mean_bias,mean_bias_top1 7,014721254,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,K600,val,10,2,100,1_metab_multitask 7,014721259,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,K600,val,10,2,100,1_metab_multitask 7,01473499,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,K600,val,10,2,100,1_metab_multitask -7,01473500,1.171815,-0.020113,1.856362,1.942584,0.437617,0.26457,-1.804659,1.934385,-17.118801,-110.720672,-0.138343,-0.192833,K600,val,10,2,100,1_metab_multitask +7,01473500,3.099373,-13.57112,1.73477,4.293431,0.788898,2.994107,1.622192,4.285996,-12.931684,-348.489166,-6.512014,-0.439281,K600,val,10,2,100,1_metab_multitask 7,01473675,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,K600,val,10,2,100,1_metab_multitask 7,01473780,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,K600,val,10,2,100,1_metab_multitask 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date,site_id,rmse,nse,rmse_top10,rmse_bot10,rmse_logged,mean_bias,mean_bias_top1 10,014721254,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,K600,val_times,10,3,100,1_metab_multitask 10,014721259,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,K600,val_times,10,3,100,1_metab_multitask 10,01473499,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,K600,val_times,10,3,100,1_metab_multitask -10,01473500,1.095361,-0.1254,2.672868,1.010056,0.354266,-0.311228,-2.617718,0.999732,-16.774322,-37.552089,-0.081558,-0.309605,K600,val_times,10,3,100,1_metab_multitask +10,01473500,5.308299,-25.430348,3.199499,6.37002,1.123764,5.112308,3.12364,6.341399,-24.468404,-1532.340478,-9.88283,-0.970907,K600,val_times,10,3,100,1_metab_multitask 10,01473675,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,K600,val_times,10,3,100,1_metab_multitask 10,01473780,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,K600,val_times,10,3,100,1_metab_multitask 10,01474500,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,K600,val_times,10,3,100,1_metab_multitask 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6,014721259,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,K600,val,10,4,100,1_metab_multitask 6,01473499,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,K600,val,10,4,100,1_metab_multitask -6,01473500,4.125938,-40.662256,2.849172,4.495405,1.179382,4.082451,2.846085,4.471964,-2201.545646,-11031.481658,-14.483023,-1.192006,K600,val,10,4,100,1_metab_multitask +6,01473500,3.650234,-23.186429,2.264063,4.820712,1.059334,3.570433,2.192163,4.798486,-17.045622,-249.717874,-6.859372,-0.9847,K600,val,10,4,100,1_metab_multitask 6,01473675,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,K600,val,10,4,100,1_metab_multitask 6,01473780,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,K600,val,10,4,100,1_metab_multitask 6,01474500,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,K600,val,10,4,100,1_metab_multitask 6,01475530,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,K600,val,10,4,100,1_metab_multitask 6,01475548,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,K600,val,10,4,100,1_metab_multitask 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6,01481500,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,K600,val,10,4,100,1_metab_multitask 7,01466500,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,K600,val,10,4,100,1_metab_multitask 7,01472104,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,K600,val,10,4,100,1_metab_multitask @@ -36629,15 +35789,15 @@ date,site_id,rmse,nse,rmse_top10,rmse_bot10,rmse_logged,mean_bias,mean_bias_top1 7,014721254,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,K600,val,10,4,100,1_metab_multitask 7,014721259,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,K600,val,10,4,100,1_metab_multitask 7,01473499,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,K600,val,10,4,100,1_metab_multitask -7,01473500,3.39706,-7.573086,1.264027,4.776242,0.90174,3.199335,1.191547,4.765852,-7.400726,-674.377792,-3.833334,-0.592839,K600,val,10,4,100,1_metab_multitask +7,01473500,3.106159,-13.634999,1.603904,4.342367,0.792508,3.0017,1.528886,4.337622,-10.909033,-356.501371,-6.580927,-0.568414,K600,val,10,4,100,1_metab_multitask 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12,014721254,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,ER,val,10,6,100,1_metab_multitask 12,014721259,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,ER,val,10,6,100,1_metab_multitask 12,01473499,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,ER,val,10,6,100,1_metab_multitask -12,01473500,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,ER,val,10,6,100,1_metab_multitask +12,01473500,2.646708,-0.012339,1.568095,7.906875,NA,0.581976,-1.568095,7.906875,-Inf,-Inf,NA,-0.061599,ER,val,10,6,100,1_metab_multitask 12,01473675,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,ER,val,10,6,100,1_metab_multitask 12,01473780,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,ER,val,10,6,100,1_metab_multitask 12,01474500,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,ER,val,10,6,100,1_metab_multitask @@ -45397,15 +44365,15 @@ date,site_id,rmse,nse,rmse_top10,rmse_bot10,rmse_logged,mean_bias,mean_bias_top1 3,014721254,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,K600,val,10,6,100,1_metab_multitask 3,014721259,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,K600,val,10,6,100,1_metab_multitask 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8,01472104,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,K600,val,10,6,100,1_metab_multitask @@ -45477,15 +44445,15 @@ date,site_id,rmse,nse,rmse_top10,rmse_bot10,rmse_logged,mean_bias,mean_bias_top1 8,014721254,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,K600,val,10,6,100,1_metab_multitask 8,014721259,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,K600,val,10,6,100,1_metab_multitask 8,01473499,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,K600,val,10,6,100,1_metab_multitask -8,01473500,2.082402,-0.084119,4.811303,1.88492,0.51472,-0.682126,-4.80803,1.879127,-813.088983,-382.781377,0.039507,-0.155887,K600,val,10,6,100,1_metab_multitask +8,01473500,1.794526,-1.152957,4.353141,0.519884,0.569972,-1.276876,-4.183463,0.333123,-11.921598,-0.853267,-1.569627,-0.416505,K600,val,10,6,100,1_metab_multitask 8,01473675,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,K600,val,10,6,100,1_metab_multitask 8,01473780,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,K600,val,10,6,100,1_metab_multitask 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10,01472104,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,K600,val,10,6,100,1_metab_multitask @@ -45509,15 +44477,15 @@ date,site_id,rmse,nse,rmse_top10,rmse_bot10,rmse_logged,mean_bias,mean_bias_top1 10,014721254,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,K600,val,10,6,100,1_metab_multitask 10,014721259,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,K600,val,10,6,100,1_metab_multitask 10,01473499,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,K600,val,10,6,100,1_metab_multitask -10,01473500,1.266946,-0.505595,2.93356,0.876107,0.432319,-0.651462,-2.895044,0.859257,-20.410544,-28.004873,-0.610651,-0.29575,K600,val,10,6,100,1_metab_multitask +10,01473500,1.875771,-2.7417,1.926649,2.725454,0.55525,1.281118,-1.658758,2.690629,-20.177205,-55.951811,-1.739426,-0.217591,K600,val,10,6,100,1_metab_multitask 10,01473675,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,K600,val,10,6,100,1_metab_multitask 10,01473780,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,K600,val,10,6,100,1_metab_multitask 10,01474500,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,K600,val,10,6,100,1_metab_multitask 10,01475530,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,K600,val,10,6,100,1_metab_multitask 10,01475548,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,K600,val,10,6,100,1_metab_multitask -10,01480617,2.419806,-0.566143,3.775514,3.365656,0.227477,1.347409,-3.652036,3.337075,-13.473891,-111.007625,-0.733681,-0.546995,K600,val,10,6,100,1_metab_multitask -10,01480870,1.95749,-1.20033,1.614206,3.863693,0.314796,1.293043,-1.224809,3.812157,-7.947857,-34.696502,-0.940811,-0.388518,K600,val,10,6,100,1_metab_multitask -10,01481000,2.043729,-3.067509,2.87733,0.803981,0.422746,-1.84585,-2.866926,-0.307117,-282.1309,-1.456703,-3.049755,0.149253,K600,val,10,6,100,1_metab_multitask +10,01480617,2.242211,-0.344692,3.958724,3.065881,0.210342,1.039428,-3.852026,3.001114,-14.912691,-91.943457,-0.482332,-0.385014,K600,val,10,6,100,1_metab_multitask 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10,01475530,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,K600,val_times,10,8,100,1_metab_multitask 10,01475548,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,K600,val_times,10,8,100,1_metab_multitask -10,01480617,2.761334,-1.039426,3.092939,4.045616,0.259133,1.895385,-2.961024,4.031628,-8.713502,-160.83686,-1.249777,-0.45386,K600,val_times,10,8,100,1_metab_multitask -10,01480870,1.908387,-1.091326,1.094718,3.835735,0.310841,1.367575,-0.796554,3.729772,-3.115338,-34.181755,-0.892355,-0.323847,K600,val_times,10,8,100,1_metab_multitask -10,01481000,1.52664,-1.269633,2.346665,0.902696,0.292612,-1.150153,-2.316367,0.808432,-187.3259,-2.097018,-0.94023,-0.098259,K600,val_times,10,8,100,1_metab_multitask +10,01480617,2.882341,-1.222086,7.123234,0.385773,0.280013,-2.069218,-7.024542,-0.13261,-50.521394,-0.471538,-1.626957,-0.552739,K600,val_times,10,8,100,1_metab_multitask 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9,014721259,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,K600,val_times,10,9,100,1_metab_multitask 9,01473499,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,K600,val_times,10,9,100,1_metab_multitask -9,01473500,3.985304,-2.137933,6.047737,0.734135,0.876151,-3.313465,-6.047379,0.663488,-18090.070793,-2.331107,-1.842983,-0.313706,K600,val_times,10,9,100,1_metab_multitask +9,01473500,2.331119,-0.073617,3.131093,3.95975,0.534025,-0.181396,-3.130998,3.947492,-4848.203542,-95.910878,-0.056183,-0.661563,K600,val_times,10,9,100,1_metab_multitask 9,01473675,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,K600,val_times,10,9,100,1_metab_multitask 9,01473780,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,K600,val_times,10,9,100,1_metab_multitask 9,01474500,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,K600,val_times,10,9,100,1_metab_multitask 9,01475530,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,K600,val_times,10,9,100,1_metab_multitask 9,01475548,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,K600,val_times,10,9,100,1_metab_multitask 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+01481000,1.039427,-0.008282,1.183155,2.139377,0.262998,0.215525,-1.14432,1.972366,-43.935741,-6.149946,-0.011249,-0.021629,K600,val_times,10,9,100,2_multitask_dense 01481500,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,K600,val_times,10,9,100,2_multitask_dense 01466500,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,depth,val_times,10,9,100,2_multitask_dense 01472104,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,depth,val_times,10,9,100,2_multitask_dense @@ -12393,15 +12123,15 @@ site_id,rmse,nse,rmse_top10,rmse_bot10,rmse_logged,mean_bias,mean_bias_top10,mea 014721254,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,depth,val_times,10,9,100,2_multitask_dense 014721259,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,depth,val_times,10,9,100,2_multitask_dense 01473499,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,depth,val_times,10,9,100,2_multitask_dense -01473500,0.484513,-0.072118,0.682314,0.819075,0.333043,0.188244,-0.443718,0.658299,-1.960657,-197.62134,-0.056163,0.480446,depth,val_times,10,9,100,2_multitask_dense +01473500,0.474647,-0.028903,1.05617,0.428493,0.334027,-0.180051,-0.969658,0.344421,-6.093927,-53.358266,-0.062413,0.21032,depth,val_times,10,9,100,2_multitask_dense 01473675,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,depth,val_times,10,9,100,2_multitask_dense 01473780,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,depth,val_times,10,9,100,2_multitask_dense 01474500,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,depth,val_times,10,9,100,2_multitask_dense 01475530,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,depth,val_times,10,9,100,2_multitask_dense 01475548,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,depth,val_times,10,9,100,2_multitask_dense -01480617,0.301138,-6.012793,0.405853,0.087434,1.056971,-0.196268,-0.340707,-0.0401,-21.986262,-62.747193,-15.932762,-0.371139,depth,val_times,10,9,100,2_multitask_dense -01480870,0.226377,-1.104218,0.234218,0.264439,0.420268,0.116026,-0.125486,0.256747,-1.667469,-694.545264,-1.323509,0.100162,depth,val_times,10,9,100,2_multitask_dense -01481000,0.679113,-6.046674,0.4905,0.732659,0.708135,0.616693,0.359745,0.690106,-3.815543,-1563.867741,-4.162247,-0.032735,depth,val_times,10,9,100,2_multitask_dense +01480617,0.207153,-2.318498,0.264892,0.080934,0.414824,0.051539,7.67e-4,0.029764,-8.791938,-53.622493,-1.679632,-0.059775,depth,val_times,10,9,100,2_multitask_dense +01480870,0.210405,-0.817761,0.183449,0.220272,0.368996,0.120097,-0.061294,0.198029,-0.636406,-481.608342,-0.79117,0.347297,depth,val_times,10,9,100,2_multitask_dense +01481000,0.444801,-2.022956,0.286505,0.508741,0.514583,0.31715,-0.01443,0.441291,-0.642978,-753.514535,-1.725952,0.159304,depth,val_times,10,9,100,2_multitask_dense 01481500,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,depth,val_times,10,9,100,2_multitask_dense 01466500,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,temp.water,val_times,10,9,100,2_multitask_dense 01472104,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,temp.water,val_times,10,9,100,2_multitask_dense @@ -12409,13 +12139,13 @@ site_id,rmse,nse,rmse_top10,rmse_bot10,rmse_logged,mean_bias,mean_bias_top10,mea 014721254,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,temp.water,val_times,10,9,100,2_multitask_dense 014721259,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,temp.water,val_times,10,9,100,2_multitask_dense 01473499,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,temp.water,val_times,10,9,100,2_multitask_dense -01473500,1.792888,0.937905,2.773747,1.007648,0.116205,0.037263,-2.632383,-0.483767,-7.032882,-0.201754,0.931243,0.929105,temp.water,val_times,10,9,100,2_multitask_dense +01473500,5.193851,0.478893,9.80257,0.880187,0.285004,-3.964006,-9.754476,0.484035,-99.32693,0.083046,0.586412,0.579107,temp.water,val_times,10,9,100,2_multitask_dense 01473675,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,temp.water,val_times,10,9,100,2_multitask_dense 01473780,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,temp.water,val_times,10,9,100,2_multitask_dense 01474500,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,temp.water,val_times,10,9,100,2_multitask_dense 01475530,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,temp.water,val_times,10,9,100,2_multitask_dense 01475548,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,temp.water,val_times,10,9,100,2_multitask_dense -01480617,1.427121,0.93808,2.42066,0.766888,0.08927,-0.845506,-2.375959,-0.048137,-7.708072,0.356039,0.948603,0.86701,temp.water,val_times,10,9,100,2_multitask_dense -01480870,1.197654,0.956764,1.815222,0.764434,0.084085,-0.689125,-1.751189,-0.180785,-4.381137,0.49953,0.954437,0.913948,temp.water,val_times,10,9,100,2_multitask_dense -01481000,1.296959,0.960984,2.421554,0.976223,0.096416,-0.4553,-2.373671,0.116545,-4.264495,0.011882,0.955792,0.894507,temp.water,val_times,10,9,100,2_multitask_dense +01480617,1.599499,0.922219,3.356833,2.022326,0.117134,-0.386729,-3.278426,1.907621,-15.746109,-3.478146,0.91151,0.793824,temp.water,val_times,10,9,100,2_multitask_dense +01480870,1.613605,0.921516,3.245304,2.129148,0.123304,-0.200439,-3.156436,1.985217,-16.199871,-2.882488,0.902022,0.816102,temp.water,val_times,10,9,100,2_multitask_dense +01481000,2.341782,0.872802,4.987546,2.99699,0.179058,-0.389246,-4.876389,2.889132,-21.332756,-8.312815,0.847528,0.742622,temp.water,val_times,10,9,100,2_multitask_dense 01481500,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,temp.water,val_times,10,9,100,2_multitask_dense diff --git a/2a_model/src/models/config_base.yml b/2a_model/src/models/config_base.yml index 0c0e869a..5c3308d2 100644 --- a/2a_model/src/models/config_base.yml +++ b/2a_model/src/models/config_base.yml @@ -11,11 +11,12 @@ finetune_learning_rate: 0.01 early_stopping: False validation_sites: - "01475530" + - "01473500" - "01475548" -train_start_date: '1980-10-01' +train_start_date: '2007-10-01' train_end_date: '2015-10-01' val_start_date: '2015-10-01' -val_end_date: '2021-10-01' +val_end_date: '2019-10-01' x_vars: - "tmmn" - "tmmx" diff --git a/3_visualize.R b/3_visualize.R index 21ffdb7a..704754c8 100644 --- a/3_visualize.R +++ b/3_visualize.R @@ -73,12 +73,12 @@ p3_targets_list <- list( ), # Save png map of site locations - tar_target( - p3_site_map_png, - map_sites(flowlines = p1_nhd_reaches_sf, - matched_sites = p2a_site_splits, - out_file = "3_visualize/out/do_site_map.png") - ), + #tar_target( + #p3_site_map_png, + #map_sites(flowlines = p1_nhd_reaches_sf, + #matched_sites = p2a_site_splits, + #out_file = "3_visualize/out/do_site_map.png") + #), # Save json map of site locations tar_target( diff --git a/_targets.R b/_targets.R index 5624b896..8170b783 100644 --- a/_targets.R +++ b/_targets.R @@ -107,7 +107,7 @@ base_config_options <- list( out_dir = "../../../out/models", # random seed for training; If FALSE, no seed. Otherwise, specify the seed: seed = FALSE, - num_replicates = 3, + num_replicates = 10, trn_offset = 1, tst_val_offset = 1, epochs = 100,

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