#out_epochs30_{1}_{1}.txt#

Namespace(data_dir='Data/', epochs=30, gpu_id=-1, grid_edges='false', horizon=1, lr=None, numeof=None, optim='adam', out='out', seed=1, weight_decay=None)
using device:  cpu
out/1lead/
Train set: 36132 Validation set 600 Test set 408
shape static feats (1518, 1200)
[GraphConvolution (6 -> 250), GraphConvolution (250 -> 100)]
Using Adam optimizer: Lr= 0.005 Wd= 1e-06
validation:  {'corrcoef': 0.9810934647300963, 'rmse': 0.1679807, 'all_season_cc': 0.978717963464581, 'mae': 2.5792048647999763}
train:  {'corrcoef': 0.9717012880191574, 'rmse': 0.19691446, 'all_season_cc': 0.9717018776600165, 'mae': 172.50545962899923}
validation:  {'corrcoef': 0.9771525447234192, 'rmse': 0.20659043, 'all_season_cc': 0.9735916146474448, 'mae': 3.1138330698013306}
train:  {'corrcoef': 0.9714230562197306, 'rmse': 0.23793058, 'all_season_cc': 0.9714111604399601, 'mae': 211.99707014858723}
2
validation:  {'corrcoef': 0.9766478050944595, 'rmse': 0.17537627, 'all_season_cc': 0.9730809795205193, 'mae': 2.474304512143135}
train:  {'corrcoef': 0.97051306598399, 'rmse': 0.21034993, 'all_season_cc': 0.9705061480150419, 'mae': 184.1137102767825}
3
validation:  {'corrcoef': 0.9846792659223699, 'rmse': 0.17462973, 'all_season_cc': 0.9838489291503699, 'mae': 2.5436486154794693}
train:  {'corrcoef': 0.9794974197877925, 'rmse': 0.21281284, 'all_season_cc': 0.9794958227170362, 'mae': 184.1352972611785}
4
new best
validation:  {'corrcoef': 0.9873131429708688, 'rmse': 0.13846728, 'all_season_cc': 0.9871604221692345, 'mae': 2.073480576276779}
train:  {'corrcoef': 0.9810157108074544, 'rmse': 0.18748964, 'all_season_cc': 0.9810135296474547, 'mae': 164.14462239295244}
5
new best
validation:  {'corrcoef': 0.9834197895430907, 'rmse': 0.18033655, 'all_season_cc': 0.9819386515963325, 'mae': 2.838568337261677}
train:  {'corrcoef': 0.9776957603052835, 'rmse': 0.19479719, 'all_season_cc': 0.9776940564986681, 'mae': 169.35671522468328}
6
validation:  {'corrcoef': 0.986259494775911, 'rmse': 0.14338279, 'all_season_cc': 0.9856413571134963, 'mae': 2.076019264757633}
train:  {'corrcoef': 0.9812750944557115, 'rmse': 0.19904302, 'all_season_cc': 0.981263451285829, 'mae': 174.82256472855806}
7
validation:  {'corrcoef': 0.9849419957146027, 'rmse': 0.18590231, 'all_season_cc': 0.9846632296325349, 'mae': 2.879325121641159}
train:  {'corrcoef': 0.9801698075841747, 'rmse': 0.2171789, 'all_season_cc': 0.980158851672874, 'mae': 190.36473967134953}
8
validation:  {'corrcoef': 0.980596810092026, 'rmse': 0.2180506, 'all_season_cc': 0.9785724455650104, 'mae': 3.2369853481650352}
train:  {'corrcoef': 0.9748473153256987, 'rmse': 0.26377127, 'all_season_cc': 0.9748270892296262, 'mae': 233.88433139026165}
9
validation:  {'corrcoef': 0.9831727247946351, 'rmse': 0.22380085, 'all_season_cc': 0.9810668568779155, 'mae': 3.393146686255932}
train:  {'corrcoef': 0.9781665844697033, 'rmse': 0.25208756, 'all_season_cc': 0.9781503288589128, 'mae': 220.521979264915}
10
validation:  {'corrcoef': 0.9861265840423251, 'rmse': 0.17669094, 'all_season_cc': 0.985649372555032, 'mae': 2.69247505441308}
train:  {'corrcoef': 0.981671859655266, 'rmse': 0.2156741, 'all_season_cc': 0.981651698120445, 'mae': 189.9822675064206}
11
validation:  {'corrcoef': 0.9856621644653066, 'rmse': 0.15911233, 'all_season_cc': 0.9852411863571789, 'mae': 2.3499751314520836}
train:  {'corrcoef': 0.9818784761111979, 'rmse': 0.19679557, 'all_season_cc': 0.981879429552725, 'mae': 172.7834753319621}
12
validation:  {'corrcoef': 0.984902636662784, 'rmse': 0.1350445, 'all_season_cc': 0.9850968492119971, 'mae': 1.941864013671875}
train:  {'corrcoef': 0.9808689486655733, 'rmse': 0.18076909, 'all_season_cc': 0.9808702339548675, 'mae': 157.54236532747746}
13
validation:  {'corrcoef': 0.9867035214256575, 'rmse': 0.16375914, 'all_season_cc': 0.9861172339085984, 'mae': 2.4559204503893852}
train:  {'corrcoef': 0.9823749898427474, 'rmse': 0.20172918, 'all_season_cc': 0.9823581529611772, 'mae': 175.14490312337875}
14
validation:  {'corrcoef': 0.9836006053997136, 'rmse': 0.21920615, 'all_season_cc': 0.9829094214068556, 'mae': 3.243878163397312}
train:  {'corrcoef': 0.9794919885493194, 'rmse': 0.25717327, 'all_season_cc': 0.9795032273051428, 'mae': 224.44875679910183}
15
validation:  {'corrcoef': 0.9874394743615936, 'rmse': 0.15232834, 'all_season_cc': 0.9869999605070782, 'mae': 2.2806616201996803}
train:  {'corrcoef': 0.9828595314528221, 'rmse': 0.1949807, 'all_season_cc': 0.9828549690672258, 'mae': 167.95226940512657}
16
new best
validation:  {'corrcoef': 0.9880717473325071, 'rmse': 0.14231586, 'all_season_cc': 0.9878162896574126, 'mae': 2.050496630370617}
train:  {'corrcoef': 0.9834405305464046, 'rmse': 0.18446325, 'all_season_cc': 0.9834283278769318, 'mae': 161.46442456543446}
17
new best
validation:  {'corrcoef': 0.9857911168596464, 'rmse': 0.150921, 'all_season_cc': 0.9845245335069449, 'mae': 2.2862742245197296}
train:  {'corrcoef': 0.9796921751844554, 'rmse': 0.19172041, 'all_season_cc': 0.9796790247019246, 'mae': 168.174855299294}
18
validation:  {'corrcoef': 0.9885735402552975, 'rmse': 0.15122603, 'all_season_cc': 0.988554427245707, 'mae': 2.3398757241666317}
train:  {'corrcoef': 0.983658732354972, 'rmse': 0.18281421, 'all_season_cc': 0.9836552957106011, 'mae': 159.88688138872385}
19
new best
validation:  {'corrcoef': 0.9864225254773786, 'rmse': 0.14415039, 'all_season_cc': 0.9857382892813846, 'mae': 2.035043366253376}
train:  {'corrcoef': 0.9812548987415181, 'rmse': 0.19286609, 'all_season_cc': 0.9812531155460517, 'mae': 170.57250334322453}
20
validation:  {'corrcoef': 0.9876971492316964, 'rmse': 0.12790382, 'all_season_cc': 0.9873303775533677, 'mae': 1.9035748392343521}
train:  {'corrcoef': 0.9836702448436875, 'rmse': 0.17061687, 'all_season_cc': 0.9836736102307825, 'mae': 149.23427135497332}
21
validation:  {'corrcoef': 0.9848403538014411, 'rmse': 0.15497276, 'all_season_cc': 0.9841177012665031, 'mae': 2.3275290429592133}
train:  {'corrcoef': 0.9821343099064433, 'rmse': 0.18910766, 'all_season_cc': 0.9821285391860094, 'mae': 166.66922838240862}
22
validation:  {'corrcoef': 0.9882682530427217, 'rmse': 0.14842024, 'all_season_cc': 0.9883073484492316, 'mae': 2.3271864876151085}
train:  {'corrcoef': 0.9839326876768983, 'rmse': 0.18043473, 'all_season_cc': 0.9839251292858932, 'mae': 159.0831689760089}
23
validation:  {'corrcoef': 0.9857922235158821, 'rmse': 0.18357192, 'all_season_cc': 0.9851960807535168, 'mae': 2.7188088223338127}
train:  {'corrcoef': 0.979558818512879, 'rmse': 0.23766226, 'all_season_cc': 0.9795507437347282, 'mae': 210.12209610641003}
24
validation:  {'corrcoef': 0.9877427403811635, 'rmse': 0.14484513, 'all_season_cc': 0.987472578015228, 'mae': 2.103392891585827}
train:  {'corrcoef': 0.98233848135077, 'rmse': 0.19306444, 'all_season_cc': 0.9823372763744008, 'mae': 168.24332935363054}
25
validation:  {'corrcoef': 0.9890605161220172, 'rmse': 0.119694255, 'all_season_cc': 0.9886705987663613, 'mae': 1.7301392294466496}
train:  {'corrcoef': 0.9840854331026847, 'rmse': 0.15886787, 'all_season_cc': 0.9840772419801346, 'mae': 139.47121100127697}
26
new best
validation:  {'corrcoef': 0.9875812609105753, 'rmse': 0.15998463, 'all_season_cc': 0.9871335949171675, 'mae': 2.3673407807946205}
train:  {'corrcoef': 0.9838860501793885, 'rmse': 0.19262038, 'all_season_cc': 0.9838847051487704, 'mae': 169.76466370373964}
27
validation:  {'corrcoef': 0.9873070847829278, 'rmse': 0.13747194, 'all_season_cc': 0.9867132275263292, 'mae': 2.067037921398878}
train:  {'corrcoef': 0.9823633553146439, 'rmse': 0.16504392, 'all_season_cc': 0.9823618314186104, 'mae': 145.57515924423933}
28
validation:  {'corrcoef': 0.9874657144830263, 'rmse': 0.1349383, 'all_season_cc': 0.986462988908694, 'mae': 2.056056212633848}
train:  {'corrcoef': 0.9833172236730394, 'rmse': 0.1625008, 'all_season_cc': 0.9833200577489509, 'mae': 142.5041350275278}
29
validation:  {'corrcoef': 0.9887198548089261, 'rmse': 0.15243582, 'all_season_cc': 0.988342616453633, 'mae': 2.3491665087640285}
train:  {'corrcoef': 0.9836789922173506, 'rmse': 0.18701896, 'all_season_cc': 0.9836760456726799, 'mae': 164.77732219547033}
30
Saving final model...
out/1lead/
Train set: 36132 Validation set 600 Test set 408
shape static feats (1518, 1200)
[GraphConvolution (6 -> 250), GraphConvolution (250 -> 100)]
Using Adam optimizer: Lr= 0.005 Wd= 1e-06
validation:  {'corrcoef': 0.986962032891308, 'rmse': 0.12842622, 'all_season_cc': 0.9873179931713386, 'mae': 1.8818083256483078}
train:  {'corrcoef': 0.9814953757018989, 'rmse': 0.17593852, 'all_season_cc': 0.9814926853822102, 'mae': 151.99332980066538}
validation:  {'corrcoef': 0.9852137455564018, 'rmse': 0.1948518, 'all_season_cc': 0.9852330055920437, 'mae': 2.9491893351078033}
train:  {'corrcoef': 0.9800664096794295, 'rmse': 0.22473836, 'all_season_cc': 0.9800511703818945, 'mae': 197.1837820634246}
2
validation:  {'corrcoef': 0.9890060706168188, 'rmse': 0.13382216, 'all_season_cc': 0.9888291044552567, 'mae': 2.014758914709091}
train:  {'corrcoef': 0.981989353618644, 'rmse': 0.18856207, 'all_season_cc': 0.9819749536600034, 'mae': 166.09505458176136}
3
new best
validation:  {'corrcoef': 0.9878236127734489, 'rmse': 0.17433187, 'all_season_cc': 0.9873751566401227, 'mae': 2.7082755491137505}
train:  {'corrcoef': 0.9823445946819801, 'rmse': 0.20520231, 'all_season_cc': 0.9823415661560473, 'mae': 181.1434220522642}
4
validation:  {'corrcoef': 0.9877786367710781, 'rmse': 0.13039131, 'all_season_cc': 0.9879882555028958, 'mae': 1.9214731231331825}
train:  {'corrcoef': 0.9814970145257425, 'rmse': 0.1855595, 'all_season_cc': 0.9814976773419507, 'mae': 162.73670107126236}
5
validation:  {'corrcoef': 0.9882516461976649, 'rmse': 0.14446518, 'all_season_cc': 0.9880911084095816, 'mae': 2.2741126269102097}
train:  {'corrcoef': 0.982111705857899, 'rmse': 0.18087189, 'all_season_cc': 0.9821079067349782, 'mae': 156.48868918418884}
6
validation:  {'corrcoef': 0.9882920386393218, 'rmse': 0.11890078, 'all_season_cc': 0.9881420112506087, 'mae': 1.7266429588198662}
train:  {'corrcoef': 0.9817748468433923, 'rmse': 0.16750586, 'all_season_cc': 0.9817596006144389, 'mae': 146.87349229305983}
7
validation:  {'corrcoef': 0.9883774542249434, 'rmse': 0.11819517, 'all_season_cc': 0.9884459724544548, 'mae': 1.7712528258562088}
train:  {'corrcoef': 0.9825335835674548, 'rmse': 0.15894902, 'all_season_cc': 0.9825324737317681, 'mae': 137.82446978986263}
8
validation:  {'corrcoef': 0.988268849023861, 'rmse': 0.17864607, 'all_season_cc': 0.9884576187403721, 'mae': 2.8001743853092194}
train:  {'corrcoef': 0.9819940938830729, 'rmse': 0.21093918, 'all_season_cc': 0.981976548300688, 'mae': 189.7678392007947}
9
validation:  {'corrcoef': 0.9881647421326795, 'rmse': 0.21143356, 'all_season_cc': 0.9885062469610043, 'mae': 3.1847137957811356}
train:  {'corrcoef': 0.9818257162151375, 'rmse': 0.24657921, 'all_season_cc': 0.9818048070775954, 'mae': 216.85434687137604}
10
validation:  {'corrcoef': 0.9891761378898541, 'rmse': 0.12111726, 'all_season_cc': 0.9892518134229796, 'mae': 1.802504725754261}
train:  {'corrcoef': 0.9827318145788806, 'rmse': 0.1714646, 'all_season_cc': 0.9827211198209572, 'mae': 150.27639534324408}
11
new best
validation:  {'corrcoef': 0.9864344952911471, 'rmse': 0.18481478, 'all_season_cc': 0.9870240668824346, 'mae': 2.7927661761641502}
train:  {'corrcoef': 0.9804427952654696, 'rmse': 0.23423496, 'all_season_cc': 0.9804523903666978, 'mae': 206.8754285350442}
12
validation:  {'corrcoef': 0.9882957822749552, 'rmse': 0.16855277, 'all_season_cc': 0.988458458344137, 'mae': 2.525199368596077}
train:  {'corrcoef': 0.9823655765865219, 'rmse': 0.18453924, 'all_season_cc': 0.9823563044030824, 'mae': 159.50046160072088}
13
validation:  {'corrcoef': 0.9865706644737157, 'rmse': 0.19342715, 'all_season_cc': 0.9865169034664253, 'mae': 2.9090949818491936}
train:  {'corrcoef': 0.9814916960670929, 'rmse': 0.23141499, 'all_season_cc': 0.9814776763956545, 'mae': 201.6095933392644}
14
validation:  {'corrcoef': 0.9876330231543043, 'rmse': 0.17072769, 'all_season_cc': 0.987828418187822, 'mae': 2.5408254750072956}
train:  {'corrcoef': 0.9811419246495753, 'rmse': 0.20625578, 'all_season_cc': 0.981146806837789, 'mae': 177.2829203158617}
15
validation:  {'corrcoef': 0.9879318636308952, 'rmse': 0.15104851, 'all_season_cc': 0.9878370964047613, 'mae': 2.24012141674757}
train:  {'corrcoef': 0.9821203454840148, 'rmse': 0.1928067, 'all_season_cc': 0.9821173929694641, 'mae': 168.34885962307453}
16
validation:  {'corrcoef': 0.9887246618353753, 'rmse': 0.1160947, 'all_season_cc': 0.988660864575747, 'mae': 1.6937310248613358}
train:  {'corrcoef': 0.9827703149670245, 'rmse': 0.1599525, 'all_season_cc': 0.9827584904363879, 'mae': 138.64692939072847}
17
validation:  {'corrcoef': 0.9892616648423643, 'rmse': 0.1976247, 'all_season_cc': 0.9891729996482095, 'mae': 2.963710553944111}
train:  {'corrcoef': 0.9827717793437942, 'rmse': 0.24694237, 'all_season_cc': 0.9827662480230858, 'mae': 219.1062809228897}
18
new best
validation:  {'corrcoef': 0.9884221422494117, 'rmse': 0.13805403, 'all_season_cc': 0.9884549330444052, 'mae': 2.156747356057167}
train:  {'corrcoef': 0.9821953056883173, 'rmse': 0.17004852, 'all_season_cc': 0.9821947129363243, 'mae': 145.81152710318565}
19
validation:  {'corrcoef': 0.9895760490004454, 'rmse': 0.12569956, 'all_season_cc': 0.9895685336914783, 'mae': 1.783416323363781}
train:  {'corrcoef': 0.9831855611498695, 'rmse': 0.17904799, 'all_season_cc': 0.9831859073195327, 'mae': 159.63347935676575}
20
new best
validation:  {'corrcoef': 0.9893368870658832, 'rmse': 0.11149077, 'all_season_cc': 0.989335211287063, 'mae': 1.6480430662631989}
train:  {'corrcoef': 0.9832421080887562, 'rmse': 0.15708622, 'all_season_cc': 0.9832443208552121, 'mae': 136.5577426031232}
21
validation:  {'corrcoef': 0.9881919776846694, 'rmse': 0.1462024, 'all_season_cc': 0.988088100752996, 'mae': 2.1852088198065758}
train:  {'corrcoef': 0.9825497072885124, 'rmse': 0.18610197, 'all_season_cc': 0.9825479566755358, 'mae': 162.9729766920209}
22
validation:  {'corrcoef': 0.9885441429089156, 'rmse': 0.12747084, 'all_season_cc': 0.9887212272976752, 'mae': 1.984790861606598}
train:  {'corrcoef': 0.9828993077754922, 'rmse': 0.15830365, 'all_season_cc': 0.9828946138245667, 'mae': 137.9005502834916}
23
validation:  {'corrcoef': 0.9891907073563003, 'rmse': 0.1516216, 'all_season_cc': 0.9893379069531961, 'mae': 2.351650319993496}
train:  {'corrcoef': 0.9831905584329289, 'rmse': 0.1898525, 'all_season_cc': 0.983182906186415, 'mae': 167.53766664862633}
24
validation:  {'corrcoef': 0.9884350138366564, 'rmse': 0.1334989, 'all_season_cc': 0.9887976973345279, 'mae': 1.9943605363368988}
train:  {'corrcoef': 0.9819325971199128, 'rmse': 0.1802148, 'all_season_cc': 0.9819243610400504, 'mae': 157.86577047407627}
25
validation:  {'corrcoef': 0.9890620133500291, 'rmse': 0.118911706, 'all_season_cc': 0.9892690415169064, 'mae': 1.7300969138741493}
train:  {'corrcoef': 0.982879296812467, 'rmse': 0.16956756, 'all_season_cc': 0.9828711848807172, 'mae': 148.78615109622478}
26
validation:  {'corrcoef': 0.9885273199176916, 'rmse': 0.15499556, 'all_season_cc': 0.9884943311943742, 'mae': 2.3258729353547096}
train:  {'corrcoef': 0.9829791607205406, 'rmse': 0.19779183, 'all_season_cc': 0.9829801672259594, 'mae': 174.68807469308376}
27
validation:  {'corrcoef': 0.9888376024069157, 'rmse': 0.13456419, 'all_season_cc': 0.9890402939732542, 'mae': 1.9311503320932388}
train:  {'corrcoef': 0.9830537654387987, 'rmse': 0.18554701, 'all_season_cc': 0.983052090952131, 'mae': 163.1836164444685}
28
validation:  {'corrcoef': 0.9891893264464386, 'rmse': 0.12346866, 'all_season_cc': 0.9891948343935146, 'mae': 1.8802163153886795}
train:  {'corrcoef': 0.983175094735421, 'rmse': 0.16561039, 'all_season_cc': 0.9831766421361605, 'mae': 144.97288973629475}
29
validation:  {'corrcoef': 0.9892318880188484, 'rmse': 0.12589173, 'all_season_cc': 0.9890677967679462, 'mae': 1.8974135145545006}
train:  {'corrcoef': 0.9832291981338012, 'rmse': 0.15200692, 'all_season_cc': 0.9832248557019624, 'mae': 131.6375339999795}
30
Saving final model...
out/1lead/
Train set: 36132 Validation set 600 Test set 408
shape static feats (2688, 1200)
[GraphConvolution (6 -> 250), GraphConvolution (250 -> 100)]
Using Adam optimizer: Lr= 0.005 Wd= 1e-06
validation:  {'corrcoef': 0.9834181209221984, 'rmse': 0.15145266, 'all_season_cc': 0.9823687909574343, 'mae': 2.243473529815674}
train:  {'corrcoef': 0.9778959853087553, 'rmse': 0.19392659, 'all_season_cc': 0.9778918682068026, 'mae': 169.51083526015282}
validation:  {'corrcoef': 0.9840801051802038, 'rmse': 0.15446642, 'all_season_cc': 0.9834242799725791, 'mae': 2.243414394557476}
train:  {'corrcoef': 0.977632549769224, 'rmse': 0.20162229, 'all_season_cc': 0.9776293497585783, 'mae': 177.40348498523235}
2
new best
validation:  {'corrcoef': 0.9854392034708929, 'rmse': 0.13791591, 'all_season_cc': 0.9847595632036678, 'mae': 2.0339699760079384}
train:  {'corrcoef': 0.978812605804969, 'rmse': 0.19021481, 'all_season_cc': 0.9788078062766953, 'mae': 167.14919268339872}
3
new best
validation:  {'corrcoef': 0.9839906975437875, 'rmse': 0.20159276, 'all_season_cc': 0.9825173669290544, 'mae': 3.005865477025509}
train:  {'corrcoef': 0.976794210204102, 'rmse': 0.25970116, 'all_season_cc': 0.9767902062543459, 'mae': 231.02600273489952}
4
validation:  {'corrcoef': 0.9806091000557801, 'rmse': 0.18127981, 'all_season_cc': 0.9791220625452378, 'mae': 2.6856673806905746}
train:  {'corrcoef': 0.9713754941455354, 'rmse': 0.23906474, 'all_season_cc': 0.9713357875636884, 'mae': 213.02274049073458}
5
validation:  {'corrcoef': 0.9844814319823046, 'rmse': 0.18684667, 'all_season_cc': 0.9833451752902129, 'mae': 2.7538834512233734}
train:  {'corrcoef': 0.9789318294605087, 'rmse': 0.23426084, 'all_season_cc': 0.9789256128512968, 'mae': 204.69974172860384}
6
validation:  {'corrcoef': 0.9842579313159622, 'rmse': 0.17211016, 'all_season_cc': 0.9832389647723265, 'mae': 2.5768977105617523}
train:  {'corrcoef': 0.9785170160336102, 'rmse': 0.21361738, 'all_season_cc': 0.9785189712873114, 'mae': 185.0865259990096}
7
validation:  {'corrcoef': 0.9843810638942443, 'rmse': 0.1400531, 'all_season_cc': 0.9830627977613896, 'mae': 2.071896329522133}
train:  {'corrcoef': 0.9787434191450752, 'rmse': 0.18672214, 'all_season_cc': 0.9787400007131314, 'mae': 162.9318443313241}
8
validation:  {'corrcoef': 0.9839955720785237, 'rmse': 0.14994267, 'all_season_cc': 0.9831862044600044, 'mae': 2.3289410769939423}
train:  {'corrcoef': 0.9779328620650514, 'rmse': 0.19053756, 'all_season_cc': 0.9779273505353648, 'mae': 166.21726720780134}
9
validation:  {'corrcoef': 0.9855430852242705, 'rmse': 0.2157247, 'all_season_cc': 0.9846111442400919, 'mae': 3.270310878753662}
train:  {'corrcoef': 0.9785817782306593, 'rmse': 0.27477768, 'all_season_cc': 0.9785673639172536, 'mae': 245.70728094875813}
10
new best
validation:  {'corrcoef': 0.9860595340980268, 'rmse': 0.15429366, 'all_season_cc': 0.9852993177771726, 'mae': 2.439815014600754}
train:  {'corrcoef': 0.979634890561815, 'rmse': 0.18148126, 'all_season_cc': 0.9796284573357416, 'mae': 160.35746085643768}
11
new best
validation:  {'corrcoef': 0.9850710335982775, 'rmse': 0.19360696, 'all_season_cc': 0.9842987211771193, 'mae': 2.8960375785827637}
train:  {'corrcoef': 0.9786302510567233, 'rmse': 0.232566, 'all_season_cc': 0.978616836397269, 'mae': 202.74746371805668}
12
validation:  {'corrcoef': 0.9855976224647531, 'rmse': 0.15338135, 'all_season_cc': 0.9848835354364148, 'mae': 2.3121685087680817}
train:  {'corrcoef': 0.9795235207333503, 'rmse': 0.1973977, 'all_season_cc': 0.979508794129758, 'mae': 172.2753353714943}
13
validation:  {'corrcoef': 0.9858217951787123, 'rmse': 0.17301533, 'all_season_cc': 0.98484381331943, 'mae': 2.569518305361271}
train:  {'corrcoef': 0.9795324243251692, 'rmse': 0.22266369, 'all_season_cc': 0.9795205940393452, 'mae': 194.786318667233}
14
validation:  {'corrcoef': 0.9864151846711127, 'rmse': 0.15618859, 'all_season_cc': 0.9855201534605692, 'mae': 2.3164835572242737}
train:  {'corrcoef': 0.9790043034122877, 'rmse': 0.21702114, 'all_season_cc': 0.9790012984191696, 'mae': 192.142752610147}
15
new best
validation:  {'corrcoef': 0.9857800280439829, 'rmse': 0.14539337, 'all_season_cc': 0.984803175186236, 'mae': 2.146742708981037}
train:  {'corrcoef': 0.9794828625254088, 'rmse': 0.19859487, 'all_season_cc': 0.9794772869589408, 'mae': 173.79444286972284}
16
validation:  {'corrcoef': 0.986324829153454, 'rmse': 0.15895925, 'all_season_cc': 0.9853600354871658, 'mae': 2.312483564019203}
train:  {'corrcoef': 0.9796068730231016, 'rmse': 0.21503095, 'all_season_cc': 0.9795978737165005, 'mae': 189.51504312455654}
17
validation:  {'corrcoef': 0.9846702586754161, 'rmse': 0.18086746, 'all_season_cc': 0.9842515615699942, 'mae': 2.6527198627591133}
train:  {'corrcoef': 0.9781182686002495, 'rmse': 0.23538394, 'all_season_cc': 0.9781038255117941, 'mae': 206.52884466946125}
18
validation:  {'corrcoef': 0.9859642498081096, 'rmse': 0.12933196, 'all_season_cc': 0.9852135305418209, 'mae': 1.8885463401675224}
train:  {'corrcoef': 0.9797384050817618, 'rmse': 0.1645095, 'all_season_cc': 0.9797143349953719, 'mae': 142.20030307024717}
19
validation:  {'corrcoef': 0.9861138456925258, 'rmse': 0.13242117, 'all_season_cc': 0.9853270389805081, 'mae': 1.971413567662239}
train:  {'corrcoef': 0.9793010053024507, 'rmse': 0.16490245, 'all_season_cc': 0.9792966841067936, 'mae': 142.92974074184895}
20
validation:  {'corrcoef': 0.9856634966302783, 'rmse': 0.16744411, 'all_season_cc': 0.9845843839870828, 'mae': 2.496671736240387}
train:  {'corrcoef': 0.9794143231479232, 'rmse': 0.21398282, 'all_season_cc': 0.9794257285053921, 'mae': 187.80830105394125}
21
validation:  {'corrcoef': 0.9859165637333508, 'rmse': 0.1387307, 'all_season_cc': 0.9849991146080087, 'mae': 2.131328195333481}
train:  {'corrcoef': 0.9796540414025375, 'rmse': 0.17925277, 'all_season_cc': 0.97964897078334, 'mae': 156.30390533059835}
22
validation:  {'corrcoef': 0.9860480837836099, 'rmse': 0.13741736, 'all_season_cc': 0.9850818874265754, 'mae': 2.1070759147405624}
train:  {'corrcoef': 0.9792773103834962, 'rmse': 0.17873473, 'all_season_cc': 0.9792663872684417, 'mae': 156.53890953958035}
23
validation:  {'corrcoef': 0.9845600976341651, 'rmse': 0.16687185, 'all_season_cc': 0.983304120573072, 'mae': 2.520901530981064}
train:  {'corrcoef': 0.9796677936851517, 'rmse': 0.20855571, 'all_season_cc': 0.9796689013178043, 'mae': 183.0738491266966}
24
validation:  {'corrcoef': 0.9854756938257931, 'rmse': 0.13642457, 'all_season_cc': 0.9845103474069807, 'mae': 1.983877770602703}
train:  {'corrcoef': 0.9797602800402087, 'rmse': 0.16771723, 'all_season_cc': 0.9797563517910007, 'mae': 144.9497245401144}
25
validation:  {'corrcoef': 0.9850312277022728, 'rmse': 0.1819212, 'all_season_cc': 0.9838073850548948, 'mae': 2.7393368557095528}
train:  {'corrcoef': 0.9796636855874717, 'rmse': 0.22798772, 'all_season_cc': 0.9796498401305301, 'mae': 201.75823994725943}
26
validation:  {'corrcoef': 0.9851091879063972, 'rmse': 0.14375839, 'all_season_cc': 0.9841442272451993, 'mae': 2.0423309057950974}
train:  {'corrcoef': 0.9795330686515128, 'rmse': 0.1908585, 'all_season_cc': 0.9795320459184196, 'mae': 167.08227698504925}
27
validation:  {'corrcoef': 0.9854235843661794, 'rmse': 0.17838052, 'all_season_cc': 0.9839903355347038, 'mae': 2.6170342564582825}
train:  {'corrcoef': 0.9794772641713961, 'rmse': 0.23005188, 'all_season_cc': 0.9794702968158324, 'mae': 201.84574346244335}
28
validation:  {'corrcoef': 0.9854349708863115, 'rmse': 0.14065184, 'all_season_cc': 0.9845410705463796, 'mae': 2.01825013756752}
train:  {'corrcoef': 0.9791429813582124, 'rmse': 0.19365402, 'all_season_cc': 0.9791292838454267, 'mae': 169.25831780582666}
29
validation:  {'corrcoef': 0.9861066227141968, 'rmse': 0.13166434, 'all_season_cc': 0.9852112738013946, 'mae': 1.9627091810107231}
train:  {'corrcoef': 0.9795979632992673, 'rmse': 0.16554056, 'all_season_cc': 0.9795913233864968, 'mae': 143.6134461760521}
30
Saving final model...
torch-version:  1.10.1
Namespace(data_dir='Data/', epochs=30, gpu_id=0, grid_edges='false', horizon=1, lr=None, numeof=None, optim='adam', out='out', seed=1, weight_decay=None)
device available : True
device count:  1
current device:  0
device name:  Tesla V100-SXM2-32GB
Tesla V100-SXM2-32GB
Memory Usage:
Allocated: 0.0 GB
Cached:    0.0 GB
using device:  cuda
out/1lead/
Train set: 36132 Validation set 600 Test set 408
shape static feats (1518, 1200)
[GraphConvolution (6 -> 250), GraphConvolution (250 -> 100)]
bingbingbop
Using Adam optimizer: Lr= 0.005 Wd= 1e-06
validation:  {'corrcoef': 0.9782099871781869, 'rmse': 0.19392389, 'all_season_cc': 0.9777156554176681, 'mae': 2.9750123396515846}
train:  {'corrcoef': 0.970680043851057, 'rmse': 0.2231144, 'all_season_cc': 0.9706775875938322, 'mae': 196.25119999051094}
validation:  {'corrcoef': 0.9681158127467318, 'rmse': 0.25198188, 'all_season_cc': 0.9629771718806239, 'mae': 3.759332224726677}
train:  {'corrcoef': 0.9665839252918538, 'rmse': 0.2562184, 'all_season_cc': 0.9665624656527857, 'mae': 222.4203007593751}
2
validation:  {'corrcoef': 0.985013029271674, 'rmse': 0.13432448, 'all_season_cc': 0.9842284579317423, 'mae': 2.019290581345558}
train:  {'corrcoef': 0.9801000345495228, 'rmse': 0.17163362, 'all_season_cc': 0.980099426539048, 'mae': 150.58274570852518}
3
new best
validation:  {'corrcoef': 0.9837075592988265, 'rmse': 0.15080617, 'all_season_cc': 0.9837864556276976, 'mae': 2.1405213475227356}
train:  {'corrcoef': 0.9788299015419495, 'rmse': 0.19283764, 'all_season_cc': 0.9788244028759788, 'mae': 166.8999734222889}
4
validation:  {'corrcoef': 0.9759811715267708, 'rmse': 0.20858434, 'all_season_cc': 0.9725934443954873, 'mae': 3.271046496927738}
train:  {'corrcoef': 0.9705992615779826, 'rmse': 0.22816968, 'all_season_cc': 0.9705775683742432, 'mae': 203.27622088044882}
5
validation:  {'corrcoef': 0.9817763090541238, 'rmse': 0.1488283, 'all_season_cc': 0.9799132555708244, 'mae': 2.169825941324234}
train:  {'corrcoef': 0.9783523782895557, 'rmse': 0.18360853, 'all_season_cc': 0.9783528755683065, 'mae': 160.24877732992172}
6
validation:  {'corrcoef': 0.987440201580279, 'rmse': 0.19135752, 'all_season_cc': 0.9873772666292272, 'mae': 2.8813451901078224}
train:  {'corrcoef': 0.9828317203802579, 'rmse': 0.22857542, 'all_season_cc': 0.9828314249783547, 'mae': 202.23765473812819}
7
new best
validation:  {'corrcoef': 0.9841169611768178, 'rmse': 0.18353023, 'all_season_cc': 0.9841154764446421, 'mae': 2.712293356657028}
train:  {'corrcoef': 0.9791980574557557, 'rmse': 0.23225348, 'all_season_cc': 0.9791796171186898, 'mae': 200.7798928618431}
8
validation:  {'corrcoef': 0.9858338640351169, 'rmse': 0.12980771, 'all_season_cc': 0.9845449113063395, 'mae': 1.990446574985981}
train:  {'corrcoef': 0.9793806554664279, 'rmse': 0.16556534, 'all_season_cc': 0.9793754561245285, 'mae': 144.67825439572334}
9
validation:  {'corrcoef': 0.9862684834828633, 'rmse': 0.14997947, 'all_season_cc': 0.9855924579444238, 'mae': 2.233567640185356}
train:  {'corrcoef': 0.9800811035027304, 'rmse': 0.19029549, 'all_season_cc': 0.9800825415118687, 'mae': 170.80808252841234}
10
validation:  {'corrcoef': 0.9850218321096225, 'rmse': 0.1368232, 'all_season_cc': 0.9833517374486519, 'mae': 2.03312224149704}
train:  {'corrcoef': 0.9794853681540586, 'rmse': 0.16927429, 'all_season_cc': 0.9794679202679929, 'mae': 147.13927763700485}
11
validation:  {'corrcoef': 0.9885521534883457, 'rmse': 0.18792367, 'all_season_cc': 0.9886652270701343, 'mae': 3.085636965930462}
train:  {'corrcoef': 0.9824057338785406, 'rmse': 0.20362133, 'all_season_cc': 0.9824078615691129, 'mae': 186.08445704728365}
12
new best
validation:  {'corrcoef': 0.984575098206064, 'rmse': 0.13671124, 'all_season_cc': 0.9843896660107614, 'mae': 2.0129950791597366}
train:  {'corrcoef': 0.9795525983506692, 'rmse': 0.17732653, 'all_season_cc': 0.9795284894314991, 'mae': 155.75823790580034}
13
validation:  {'corrcoef': 0.9871636398991951, 'rmse': 0.16308163, 'all_season_cc': 0.9863492441499654, 'mae': 2.5348547026515007}
train:  {'corrcoef': 0.9824161110321745, 'rmse': 0.18298306, 'all_season_cc': 0.9824091326226926, 'mae': 160.94551291316748}
14
validation:  {'corrcoef': 0.9852780422278896, 'rmse': 0.19285972, 'all_season_cc': 0.9845763525677008, 'mae': 2.9435395300388336}
train:  {'corrcoef': 0.9799471579870546, 'rmse': 0.23041111, 'all_season_cc': 0.9799303977488115, 'mae': 204.44264182448387}
15
validation:  {'corrcoef': 0.98598974149396, 'rmse': 0.17219459, 'all_season_cc': 0.9859468336002264, 'mae': 2.6899838149547577}
train:  {'corrcoef': 0.9812734977400057, 'rmse': 0.2011647, 'all_season_cc': 0.9812836696209987, 'mae': 178.4638762548566}
16
validation:  {'corrcoef': 0.9869834127865869, 'rmse': 0.14220078, 'all_season_cc': 0.9870956755943311, 'mae': 2.129156030714512}
train:  {'corrcoef': 0.9823275571731425, 'rmse': 0.1939206, 'all_season_cc': 0.9823263206552081, 'mae': 171.28572928905487}
17
validation:  {'corrcoef': 0.9876764001694198, 'rmse': 0.18195285, 'all_season_cc': 0.987417311471634, 'mae': 2.8795478492975235}
train:  {'corrcoef': 0.9816994598756963, 'rmse': 0.19915825, 'all_season_cc': 0.9816959421533357, 'mae': 175.79440508037806}
18
validation:  {'corrcoef': 0.9872586675060403, 'rmse': 0.15844814, 'all_season_cc': 0.9866214750537482, 'mae': 2.414347805082798}
train:  {'corrcoef': 0.9833269949863798, 'rmse': 0.19426005, 'all_season_cc': 0.9833310397818577, 'mae': 170.98637346178293}
19
validation:  {'corrcoef': 0.9873291082295795, 'rmse': 0.13512464, 'all_season_cc': 0.986959473649951, 'mae': 2.0081179216504097}
train:  {'corrcoef': 0.9828030840285978, 'rmse': 0.18122041, 'all_season_cc': 0.982789881369374, 'mae': 159.81612730026245}
20
validation:  {'corrcoef': 0.9835260291870674, 'rmse': 0.15263027, 'all_season_cc': 0.9835193829836308, 'mae': 2.1319799199700356}
train:  {'corrcoef': 0.9775234172386839, 'rmse': 0.20116667, 'all_season_cc': 0.9775302656391524, 'mae': 175.08852733671665}
21
validation:  {'corrcoef': 0.9863863015384219, 'rmse': 0.135616, 'all_season_cc': 0.9856347595831699, 'mae': 2.08072517067194}
train:  {'corrcoef': 0.9816834215783677, 'rmse': 0.17775445, 'all_season_cc': 0.9816751093875004, 'mae': 156.27706356346607}
22
validation:  {'corrcoef': 0.9887120021975733, 'rmse': 0.15537727, 'all_season_cc': 0.9883306467415739, 'mae': 2.2784746438264847}
train:  {'corrcoef': 0.9830385691644806, 'rmse': 0.21050689, 'all_season_cc': 0.9830380879197582, 'mae': 186.72503978013992}
23
new best
validation:  {'corrcoef': 0.9877155020867486, 'rmse': 0.15779077, 'all_season_cc': 0.9870707034177086, 'mae': 2.3599142618477345}
train:  {'corrcoef': 0.9833293865963584, 'rmse': 0.19891958, 'all_season_cc': 0.9833092781040643, 'mae': 175.046716414392}
24
validation:  {'corrcoef': 0.9870478354385699, 'rmse': 0.17331256, 'all_season_cc': 0.9868151009385219, 'mae': 2.5714368671178818}
train:  {'corrcoef': 0.9820217404910456, 'rmse': 0.23132724, 'all_season_cc': 0.9820293107481229, 'mae': 202.845138348639}
25
validation:  {'corrcoef': 0.9887093456874899, 'rmse': 0.14307089, 'all_season_cc': 0.9880481308889523, 'mae': 2.1200815811753273}
train:  {'corrcoef': 0.9837856428377214, 'rmse': 0.1946166, 'all_season_cc': 0.9837704733546148, 'mae': 172.3818086758256}
26
validation:  {'corrcoef': 0.9889185914089125, 'rmse': 0.12361029, 'all_season_cc': 0.9886954117449019, 'mae': 1.9220771715044975}
train:  {'corrcoef': 0.9830361677009306, 'rmse': 0.15385501, 'all_season_cc': 0.9830353136961186, 'mae': 135.0976288318634}
27
new best
validation:  {'corrcoef': 0.9884876898841252, 'rmse': 0.1229361, 'all_season_cc': 0.9879959602700404, 'mae': 1.866137482225895}
train:  {'corrcoef': 0.9835219438597078, 'rmse': 0.16369916, 'all_season_cc': 0.9835180329681253, 'mae': 143.87325109541416}
28
validation:  {'corrcoef': 0.9889350206534591, 'rmse': 0.1401225, 'all_season_cc': 0.9886408739680842, 'mae': 2.0925515703856945}
train:  {'corrcoef': 0.9836780139424541, 'rmse': 0.19114295, 'all_season_cc': 0.9836687537580676, 'mae': 168.64505349844694}
29
new best
validation:  {'corrcoef': 0.9872454724877381, 'rmse': 0.13022508, 'all_season_cc': 0.986591396852428, 'mae': 1.8754100799560547}
train:  {'corrcoef': 0.9827792807771157, 'rmse': 0.17344068, 'all_season_cc': 0.9827785808480839, 'mae': 151.48103615641594}
30
Saving final model...
out/1lead/
Train set: 36132 Validation set 600 Test set 408
shape static feats (1518, 1200)
[GraphConvolution (6 -> 250), GraphConvolution (250 -> 100)]
bingbingbop
Using Adam optimizer: Lr= 0.005 Wd= 1e-06
validation:  {'corrcoef': 0.9874269824293374, 'rmse': 0.1412297, 'all_season_cc': 0.9875318821381457, 'mae': 2.2053795754909515}
train:  {'corrcoef': 0.9811195891389457, 'rmse': 0.17461205, 'all_season_cc': 0.9811219560720864, 'mae': 152.4685300141573}
validation:  {'corrcoef': 0.9852611251392904, 'rmse': 0.22152855, 'all_season_cc': 0.9837329830182452, 'mae': 3.4553230181336403}
train:  {'corrcoef': 0.9760378352476714, 'rmse': 0.25734118, 'all_season_cc': 0.9760220662139113, 'mae': 234.61551447212696}
2
validation:  {'corrcoef': 0.9884568740905988, 'rmse': 0.12885961, 'all_season_cc': 0.988205256565088, 'mae': 1.9397056475281715}
train:  {'corrcoef': 0.9814170461998523, 'rmse': 0.17497076, 'all_season_cc': 0.9814143284459792, 'mae': 154.73058109730482}
3
new best
validation:  {'corrcoef': 0.9879701312829171, 'rmse': 0.117839955, 'all_season_cc': 0.9878495265876008, 'mae': 1.7142106406390667}
train:  {'corrcoef': 0.9813020310293784, 'rmse': 0.16441576, 'all_season_cc': 0.9812994435843257, 'mae': 141.07096976786852}
4
validation:  {'corrcoef': 0.9889138861449924, 'rmse': 0.14626938, 'all_season_cc': 0.9889408124258127, 'mae': 2.2373889461159706}
train:  {'corrcoef': 0.9824494230152658, 'rmse': 0.18983822, 'all_season_cc': 0.9824369933606804, 'mae': 168.0093778297305}
5
new best
validation:  {'corrcoef': 0.9881394643672855, 'rmse': 0.13050187, 'all_season_cc': 0.9880580491762205, 'mae': 1.9141537100076675}
train:  {'corrcoef': 0.9819271239820624, 'rmse': 0.18512279, 'all_season_cc': 0.9819294387841229, 'mae': 162.95372518897057}
6
validation:  {'corrcoef': 0.9885978333502414, 'rmse': 0.22849013, 'all_season_cc': 0.9886764270261601, 'mae': 3.494449332356453}
train:  {'corrcoef': 0.9826928980008525, 'rmse': 0.25870326, 'all_season_cc': 0.9826914520257564, 'mae': 229.8408553302288}
7
validation:  {'corrcoef': 0.9888078486843676, 'rmse': 0.16984189, 'all_season_cc': 0.9885385078462687, 'mae': 2.4721240624785423}
train:  {'corrcoef': 0.9820534393305551, 'rmse': 0.21833615, 'all_season_cc': 0.9820429101227858, 'mae': 189.06776743382215}
8
validation:  {'corrcoef': 0.9885464820818302, 'rmse': 0.13736318, 'all_season_cc': 0.9881074149234995, 'mae': 2.117814503610134}
train:  {'corrcoef': 0.9827032180952987, 'rmse': 0.17884065, 'all_season_cc': 0.9826962598483407, 'mae': 155.4849039465189}
9
validation:  {'corrcoef': 0.9890316746592415, 'rmse': 0.12797865, 'all_season_cc': 0.9889860168590349, 'mae': 1.91811041533947}
train:  {'corrcoef': 0.9826164473606908, 'rmse': 0.15946692, 'all_season_cc': 0.9826180080689756, 'mae': 138.03613892570138}
10
new best
validation:  {'corrcoef': 0.9885520886840232, 'rmse': 0.11820448, 'all_season_cc': 0.988414901744468, 'mae': 1.7722400203347206}
train:  {'corrcoef': 0.981760225888466, 'rmse': 0.16575159, 'all_season_cc': 0.981740556097698, 'mae': 143.46086351573467}
11
validation:  {'corrcoef': 0.9889562067041963, 'rmse': 0.16802761, 'all_season_cc': 0.9891546403463819, 'mae': 2.745947301387787}
train:  {'corrcoef': 0.9822188121036076, 'rmse': 0.19100547, 'all_season_cc': 0.9822226873721519, 'mae': 173.1331458389759}
12
validation:  {'corrcoef': 0.9886267327260202, 'rmse': 0.17040919, 'all_season_cc': 0.989034000982469, 'mae': 2.529068522155285}
train:  {'corrcoef': 0.9819283890272789, 'rmse': 0.22102834, 'all_season_cc': 0.9819039547974834, 'mae': 194.73118866235018}
13
validation:  {'corrcoef': 0.988165392778226, 'rmse': 0.14553559, 'all_season_cc': 0.9878496103451985, 'mae': 2.2789067327976227}
train:  {'corrcoef': 0.9822591579632233, 'rmse': 0.1777057, 'all_season_cc': 0.9822525641135651, 'mae': 155.858138281852}
14
validation:  {'corrcoef': 0.9886902832113371, 'rmse': 0.16210234, 'all_season_cc': 0.9886473417293571, 'mae': 2.4599954709410667}
train:  {'corrcoef': 0.9823947545507166, 'rmse': 0.1962277, 'all_season_cc': 0.9823743837395607, 'mae': 171.34631498157978}
15
validation:  {'corrcoef': 0.9872795790716434, 'rmse': 0.17604673, 'all_season_cc': 0.9872927944875047, 'mae': 2.7700832039117813}
train:  {'corrcoef': 0.9812162476300103, 'rmse': 0.21703114, 'all_season_cc': 0.9812220130293995, 'mae': 194.8581543788314}
16
validation:  {'corrcoef': 0.9880867694358696, 'rmse': 0.15531899, 'all_season_cc': 0.9887310178011859, 'mae': 2.3470004498958588}
train:  {'corrcoef': 0.9815740011545243, 'rmse': 0.21047778, 'all_season_cc': 0.9815693505368691, 'mae': 187.43068799376488}
17
validation:  {'corrcoef': 0.9886847433729884, 'rmse': 0.16046491, 'all_season_cc': 0.9887501823140031, 'mae': 2.476330228149891}
train:  {'corrcoef': 0.9825527690373626, 'rmse': 0.19755362, 'all_season_cc': 0.9825471463111537, 'mae': 173.15045861899853}
18
validation:  {'corrcoef': 0.9887279555080396, 'rmse': 0.13746348, 'all_season_cc': 0.9886635682036039, 'mae': 2.148432306945324}
train:  {'corrcoef': 0.9828735347502322, 'rmse': 0.17139274, 'all_season_cc': 0.9828780446290558, 'mae': 149.76794562488794}
19
validation:  {'corrcoef': 0.9870815006457611, 'rmse': 0.1958511, 'all_season_cc': 0.987304336978974, 'mae': 2.8656567186117172}
train:  {'corrcoef': 0.981352042750213, 'rmse': 0.24321422, 'all_season_cc': 0.9813500634820626, 'mae': 213.0901999771595}
20
validation:  {'corrcoef': 0.9889277705407066, 'rmse': 0.1289026, 'all_season_cc': 0.9891882153618471, 'mae': 1.8356857262551785}
train:  {'corrcoef': 0.9823299616872916, 'rmse': 0.181926, 'all_season_cc': 0.9823296924562724, 'mae': 158.45153107494116}
21
validation:  {'corrcoef': 0.9881379931341348, 'rmse': 0.123740435, 'all_season_cc': 0.9881100263286857, 'mae': 1.846418872475624}
train:  {'corrcoef': 0.9823449154763136, 'rmse': 0.1530545, 'all_season_cc': 0.9823337978355395, 'mae': 131.36413135007024}
22
validation:  {'corrcoef': 0.9874603158280192, 'rmse': 0.13372171, 'all_season_cc': 0.9877718427598238, 'mae': 1.9517933428287506}
train:  {'corrcoef': 0.981298545022706, 'rmse': 0.17985144, 'all_season_cc': 0.981302778124345, 'mae': 157.2755021303892}
23
validation:  {'corrcoef': 0.9886692000203064, 'rmse': 0.15623024, 'all_season_cc': 0.988659855610977, 'mae': 2.3364171609282494}
train:  {'corrcoef': 0.9827999318611106, 'rmse': 0.19862543, 'all_season_cc': 0.98277903412355, 'mae': 174.7179258093238}
24
validation:  {'corrcoef': 0.9879459877989609, 'rmse': 0.16973777, 'all_season_cc': 0.9880272455298393, 'mae': 2.4777262173593044}
train:  {'corrcoef': 0.981754093768433, 'rmse': 0.22302331, 'all_season_cc': 0.9817524865853856, 'mae': 193.46990454941988}
25
validation:  {'corrcoef': 0.9883312775340528, 'rmse': 0.12671033, 'all_season_cc': 0.9883218593441715, 'mae': 1.8222788274288177}
train:  {'corrcoef': 0.9826216055828556, 'rmse': 0.17902113, 'all_season_cc': 0.9826063687462648, 'mae': 156.92847399413586}
26
validation:  {'corrcoef': 0.9875310461524568, 'rmse': 0.1458149, 'all_season_cc': 0.987977955822958, 'mae': 2.254946507513523}
train:  {'corrcoef': 0.9811512646453123, 'rmse': 0.17952484, 'all_season_cc': 0.9811509041511114, 'mae': 158.9049948528409}
27
validation:  {'corrcoef': 0.9890237086385185, 'rmse': 0.12961483, 'all_season_cc': 0.9888874220223229, 'mae': 1.9441226162016392}
train:  {'corrcoef': 0.982948649540997, 'rmse': 0.17637129, 'all_season_cc': 0.9829485269716588, 'mae': 154.0301948338747}
28
validation:  {'corrcoef': 0.9894809991440082, 'rmse': 0.11984201, 'all_season_cc': 0.9895264603544027, 'mae': 1.843026801943779}
train:  {'corrcoef': 0.9830064808512305, 'rmse': 0.15911971, 'all_season_cc': 0.9829968514999247, 'mae': 138.4248449653387}
29
new best
validation:  {'corrcoef': 0.9885924764141512, 'rmse': 0.11498611, 'all_season_cc': 0.988484241285208, 'mae': 1.7154793813824654}
train:  {'corrcoef': 0.9827796942336334, 'rmse': 0.15723318, 'all_season_cc': 0.9827868426138315, 'mae': 135.97426503151655}
30
Saving final model...
out/1lead/
Train set: 36132 Validation set 600 Test set 408
shape static feats (2688, 1200)
[GraphConvolution (6 -> 250), GraphConvolution (250 -> 100)]
bingbingbop
Using Adam optimizer: Lr= 0.005 Wd= 1e-06
validation:  {'corrcoef': 0.9795492503585803, 'rmse': 0.22336002, 'all_season_cc': 0.9779919561529528, 'mae': 3.3187995925545692}
train:  {'corrcoef': 0.9741927983706357, 'rmse': 0.26355302, 'all_season_cc': 0.9741804730602702, 'mae': 234.98517951369286}
validation:  {'corrcoef': 0.9798579215952088, 'rmse': 0.256036, 'all_season_cc': 0.978686051646236, 'mae': 3.8418991044163704}
train:  {'corrcoef': 0.9718205143294506, 'rmse': 0.29379573, 'all_season_cc': 0.9718199732829164, 'mae': 259.79042905569077}
2
new best
validation:  {'corrcoef': 0.9850929891971872, 'rmse': 0.14427103, 'all_season_cc': 0.9841244045623679, 'mae': 2.1639236137270927}
train:  {'corrcoef': 0.9773979841996949, 'rmse': 0.1945628, 'all_season_cc': 0.9773993314069052, 'mae': 171.9842467829585}
3
new best
validation:  {'corrcoef': 0.9848544665948801, 'rmse': 0.13252509, 'all_season_cc': 0.9841253984718517, 'mae': 1.9242985099554062}
train:  {'corrcoef': 0.9789429101868146, 'rmse': 0.17894335, 'all_season_cc': 0.9789466268280785, 'mae': 155.07260462641716}
4
validation:  {'corrcoef': 0.9859910866554933, 'rmse': 0.15868866, 'all_season_cc': 0.9856622085292336, 'mae': 2.4186084866523743}
train:  {'corrcoef': 0.978770408490872, 'rmse': 0.20762247, 'all_season_cc': 0.9787579258851009, 'mae': 183.66444700211287}
5
new best
validation:  {'corrcoef': 0.9842501923033713, 'rmse': 0.1414228, 'all_season_cc': 0.9835366761185441, 'mae': 2.080190807580948}
train:  {'corrcoef': 0.9788541899755726, 'rmse': 0.18958011, 'all_season_cc': 0.9788546183095206, 'mae': 166.25721769034863}
6
validation:  {'corrcoef': 0.9859099080650471, 'rmse': 0.23672886, 'all_season_cc': 0.9851630055931406, 'mae': 3.5360139310359955}
train:  {'corrcoef': 0.9787785095263718, 'rmse': 0.27585277, 'all_season_cc': 0.9787770895445248, 'mae': 240.8055368512869}
7
validation:  {'corrcoef': 0.9846468569414941, 'rmse': 0.18289365, 'all_season_cc': 0.9835528023804851, 'mae': 2.659491002559662}
train:  {'corrcoef': 0.9780613686877873, 'rmse': 0.2386834, 'all_season_cc': 0.9780510411950553, 'mae': 206.75934196263552}
8
validation:  {'corrcoef': 0.9856112516320723, 'rmse': 0.14969806, 'all_season_cc': 0.9846523672711117, 'mae': 2.2778054997324944}
train:  {'corrcoef': 0.9795650733276756, 'rmse': 0.19825755, 'all_season_cc': 0.9795541657836745, 'mae': 173.740869268775}
9
validation:  {'corrcoef': 0.9865314698799141, 'rmse': 0.13378754, 'all_season_cc': 0.9860383059510248, 'mae': 1.950081318616867}
train:  {'corrcoef': 0.9793823525498252, 'rmse': 0.18430792, 'all_season_cc': 0.9793803203186408, 'mae': 160.85497696697712}
10
new best
validation:  {'corrcoef': 0.9849189984428839, 'rmse': 0.13705279, 'all_season_cc': 0.9842920866792194, 'mae': 2.066145993769169}
train:  {'corrcoef': 0.9786415802291389, 'rmse': 0.16722897, 'all_season_cc': 0.9786297981813662, 'mae': 144.8934805765748}
11
validation:  {'corrcoef': 0.9858723521359208, 'rmse': 0.18594418, 'all_season_cc': 0.9851511152673121, 'mae': 2.8522090390324593}
train:  {'corrcoef': 0.9789853915175445, 'rmse': 0.22239372, 'all_season_cc': 0.9789935352837117, 'mae': 198.16729182749987}
12
validation:  {'corrcoef': 0.9838158993667354, 'rmse': 0.18745852, 'all_season_cc': 0.9834621629085519, 'mae': 2.770974814891815}
train:  {'corrcoef': 0.9778767486467346, 'rmse': 0.23600495, 'all_season_cc': 0.9778555373863069, 'mae': 208.14663941413164}
13
validation:  {'corrcoef': 0.9854518629701394, 'rmse': 0.16953123, 'all_season_cc': 0.9845039538695467, 'mae': 2.608707219362259}
train:  {'corrcoef': 0.9793928745286993, 'rmse': 0.21171737, 'all_season_cc': 0.9793816152269771, 'mae': 186.96706722676754}
14
validation:  {'corrcoef': 0.9848912010425004, 'rmse': 0.16498677, 'all_season_cc': 0.9838820873978102, 'mae': 2.525458887219429}
train:  {'corrcoef': 0.9793920579141091, 'rmse': 0.2019794, 'all_season_cc': 0.9793685902912549, 'mae': 176.87562806904316}
15
validation:  {'corrcoef': 0.9854687864599555, 'rmse': 0.15903421, 'all_season_cc': 0.984978409463196, 'mae': 2.470903344452381}
train:  {'corrcoef': 0.9781966139785999, 'rmse': 0.20199038, 'all_season_cc': 0.9781998647948584, 'mae': 179.38868544995785}
16
validation:  {'corrcoef': 0.9855102737654307, 'rmse': 0.1352311, 'all_season_cc': 0.9847734786584309, 'mae': 1.9600809067487717}
train:  {'corrcoef': 0.9796732326576453, 'rmse': 0.18510002, 'all_season_cc': 0.9796595687722132, 'mae': 162.450518168509}
17
validation:  {'corrcoef': 0.9856516070155187, 'rmse': 0.14704333, 'all_season_cc': 0.9853506644880192, 'mae': 2.206780768930912}
train:  {'corrcoef': 0.9795999062170868, 'rmse': 0.19238326, 'all_season_cc': 0.9796003916848907, 'mae': 168.17023561149836}
18
validation:  {'corrcoef': 0.9853784632675645, 'rmse': 0.1622041, 'all_season_cc': 0.9841258698229686, 'mae': 2.5039971247315407}
train:  {'corrcoef': 0.9797579121145555, 'rmse': 0.20246907, 'all_season_cc': 0.9797647017805725, 'mae': 177.43213380128145}
19
validation:  {'corrcoef': 0.984434097088153, 'rmse': 0.21327607, 'all_season_cc': 0.9841003863210934, 'mae': 3.1471377313137054}
train:  {'corrcoef': 0.978474539338714, 'rmse': 0.2692775, 'all_season_cc': 0.9784804285859646, 'mae': 239.44235590100288}
20
validation:  {'corrcoef': 0.9854996240859558, 'rmse': 0.141738, 'all_season_cc': 0.9849398949140119, 'mae': 2.028673119843006}
train:  {'corrcoef': 0.9794630303466265, 'rmse': 0.19308183, 'all_season_cc': 0.9794527538151114, 'mae': 167.854470834136}
21
validation:  {'corrcoef': 0.9857822235816969, 'rmse': 0.1286124, 'all_season_cc': 0.9851438870421508, 'mae': 1.9248900189995766}
train:  {'corrcoef': 0.9789302310698663, 'rmse': 0.17047358, 'all_season_cc': 0.978916152756359, 'mae': 147.96114929020405}
22
validation:  {'corrcoef': 0.983422877983077, 'rmse': 0.2105695, 'all_season_cc': 0.9829953598851485, 'mae': 3.1325332671403885}
train:  {'corrcoef': 0.9770710406349575, 'rmse': 0.26130354, 'all_season_cc': 0.9770819660919495, 'mae': 233.10851468890905}
23
validation:  {'corrcoef': 0.9855151914102165, 'rmse': 0.14410713, 'all_season_cc': 0.9845864592273346, 'mae': 2.15283465385437}
train:  {'corrcoef': 0.9796861041028457, 'rmse': 0.18958135, 'all_season_cc': 0.9796705977599697, 'mae': 165.69599787145853}
24
validation:  {'corrcoef': 0.9839687931631138, 'rmse': 0.16917524, 'all_season_cc': 0.9835661084439842, 'mae': 2.4438882544636726}
train:  {'corrcoef': 0.9781952514419702, 'rmse': 0.2177259, 'all_season_cc': 0.9781929120281062, 'mae': 190.25939682126045}
25
validation:  {'corrcoef': 0.9857089676270914, 'rmse': 0.13424161, 'all_season_cc': 0.9849358524391203, 'mae': 1.9932657554745674}
train:  {'corrcoef': 0.9800345831591342, 'rmse': 0.17695664, 'all_season_cc': 0.9800196016521999, 'mae': 153.95850617438555}
26
validation:  {'corrcoef': 0.9850299679020116, 'rmse': 0.18113285, 'all_season_cc': 0.9842549848782975, 'mae': 2.7360974326729774}
train:  {'corrcoef': 0.9794955356613886, 'rmse': 0.21687055, 'all_season_cc': 0.9794959608028678, 'mae': 193.2253623753786}
27
validation:  {'corrcoef': 0.9864645666492649, 'rmse': 0.13072121, 'all_season_cc': 0.9855515716270525, 'mae': 1.9059899225831032}
train:  {'corrcoef': 0.9800430211014962, 'rmse': 0.18408042, 'all_season_cc': 0.9800408479190481, 'mae': 161.37834215164185}
28
validation:  {'corrcoef': 0.9865110287060679, 'rmse': 0.17404795, 'all_season_cc': 0.9858508774672455, 'mae': 2.58817370980978}
train:  {'corrcoef': 0.9801496746638452, 'rmse': 0.21889481, 'all_season_cc': 0.980132367592757, 'mae': 193.0186271816492}
29
validation:  {'corrcoef': 0.9861638437204966, 'rmse': 0.1513734, 'all_season_cc': 0.9854811737376008, 'mae': 2.2484647408127785}
train:  {'corrcoef': 0.9801263919720828, 'rmse': 0.19737768, 'all_season_cc': 0.9801321983771297, 'mae': 173.51277570426464}
30
Saving final model...
torch-version:  1.10.1
Namespace(data_dir='Data/', epochs=30, gpu_id=0, grid_edges='false', horizon=1, lr=None, numeof=None, optim='adam', out='out', seed=1, weight_decay=None)
device available : True
device count:  1
current device:  0
device name:  Tesla V100-SXM2-32GB
Tesla V100-SXM2-32GB
Memory Usage:
Allocated: 0.0 GB
Cached:    0.0 GB
using device:  cuda
out/1lead/
Train set: 36132 Validation set 600 Test set 408
shape static feats (842, 1200)
[GraphConvolution (6 -> 250), GraphConvolution (250 -> 100)]
bingbingbop
Using Adam optimizer: Lr= 0.005 Wd= 1e-06
validation:  {'corrcoef': 0.985998861670997, 'rmse': 0.18396266, 'all_season_cc': 0.986894218976091, 'mae': 2.8433651477098465}
train:  {'corrcoef': 0.9819588657636598, 'rmse': 0.19903639, 'all_season_cc': 0.9819636323098958, 'mae': 174.1670950576663}
validation:  {'corrcoef': 0.9890898770112831, 'rmse': 0.15639082, 'all_season_cc': 0.9892071777352612, 'mae': 2.505255065858364}
train:  {'corrcoef': 0.982008395474889, 'rmse': 0.18292385, 'all_season_cc': 0.9819982915083342, 'mae': 163.53121174126863}
2
new best
validation:  {'corrcoef': 0.9894948053496844, 'rmse': 0.11870385, 'all_season_cc': 0.9899617635400911, 'mae': 1.7813473418354988}
train:  {'corrcoef': 0.9832153387472988, 'rmse': 0.15489732, 'all_season_cc': 0.9832168948684804, 'mae': 134.40500704944134}
3
new best
validation:  {'corrcoef': 0.9878056916520696, 'rmse': 0.12207048, 'all_season_cc': 0.9883369097451054, 'mae': 1.7411795929074287}
train:  {'corrcoef': 0.9822181096775296, 'rmse': 0.1675691, 'all_season_cc': 0.9822166779197028, 'mae': 144.55957476049662}
4
validation:  {'corrcoef': 0.9893674489768562, 'rmse': 0.1426249, 'all_season_cc': 0.9898596447117517, 'mae': 2.1431461349129677}
train:  {'corrcoef': 0.9836632605656771, 'rmse': 0.18100554, 'all_season_cc': 0.9836484080978766, 'mae': 159.89856692403555}
5
validation:  {'corrcoef': 0.9891090747781652, 'rmse': 0.13038743, 'all_season_cc': 0.9897657968264256, 'mae': 1.920929990708828}
train:  {'corrcoef': 0.9840950909912466, 'rmse': 0.16921309, 'all_season_cc': 0.9840950670051264, 'mae': 148.55330675840378}
6
validation:  {'corrcoef': 0.9880228945720757, 'rmse': 0.27166232, 'all_season_cc': 0.9881974652803575, 'mae': 4.105985023081303}
train:  {'corrcoef': 0.9838771396966841, 'rmse': 0.2849845, 'all_season_cc': 0.9838772277763951, 'mae': 252.19093897938728}
7
validation:  {'corrcoef': 0.9885079289242893, 'rmse': 0.1891212, 'all_season_cc': 0.9887816661425127, 'mae': 2.7125610560178757}
train:  {'corrcoef': 0.983037947032856, 'rmse': 0.22950384, 'all_season_cc': 0.9830291564504322, 'mae': 198.09254700690508}
8
validation:  {'corrcoef': 0.9883167259947588, 'rmse': 0.14051671, 'all_season_cc': 0.9884822912356325, 'mae': 2.137978069484234}
train:  {'corrcoef': 0.9838659553424661, 'rmse': 0.17118487, 'all_season_cc': 0.9838623988191729, 'mae': 149.37651371955872}
9
validation:  {'corrcoef': 0.989319121404489, 'rmse': 0.11249372, 'all_season_cc': 0.9894067386969417, 'mae': 1.661509394645691}
train:  {'corrcoef': 0.984103738481822, 'rmse': 0.14694506, 'all_season_cc': 0.9841075483461402, 'mae': 126.52199207991362}
10
validation:  {'corrcoef': 0.9888140790666674, 'rmse': 0.13159254, 'all_season_cc': 0.9891054531303447, 'mae': 1.964099582284689}
train:  {'corrcoef': 0.9835095681528656, 'rmse': 0.17090565, 'all_season_cc': 0.9834963981589039, 'mae': 149.1969099715352}
11
validation:  {'corrcoef': 0.9896809848463511, 'rmse': 0.20036823, 'all_season_cc': 0.9898109389580821, 'mae': 3.3357817232608795}
train:  {'corrcoef': 0.98420347627784, 'rmse': 0.20972894, 'all_season_cc': 0.9842089463284992, 'mae': 192.6277859210968}
12
new best
validation:  {'corrcoef': 0.9879079166137811, 'rmse': 0.15144886, 'all_season_cc': 0.988687717419522, 'mae': 2.1924447119235992}
train:  {'corrcoef': 0.9833990994525842, 'rmse': 0.18389192, 'all_season_cc': 0.9833863193936073, 'mae': 160.09020507335663}
13
validation:  {'corrcoef': 0.9891212748561995, 'rmse': 0.14982162, 'all_season_cc': 0.9891542980717523, 'mae': 2.3028160333633423}
train:  {'corrcoef': 0.9842527169937945, 'rmse': 0.17655195, 'all_season_cc': 0.984241845940935, 'mae': 155.14237861335278}
14
validation:  {'corrcoef': 0.9895703186606578, 'rmse': 0.17314604, 'all_season_cc': 0.9894679385540681, 'mae': 2.6165409982204437}
train:  {'corrcoef': 0.984003994832349, 'rmse': 0.2048491, 'all_season_cc': 0.9839857558852031, 'mae': 180.72900464385748}
15
validation:  {'corrcoef': 0.9873093086436365, 'rmse': 0.1338172, 'all_season_cc': 0.988101706770895, 'mae': 2.075971558690071}
train:  {'corrcoef': 0.982695587791088, 'rmse': 0.1556451, 'all_season_cc': 0.9827056709738424, 'mae': 136.48769323527813}
16
validation:  {'corrcoef': 0.9897313946757214, 'rmse': 0.11925257, 'all_season_cc': 0.9898959787195967, 'mae': 1.7396720871329308}
train:  {'corrcoef': 0.9842533463536908, 'rmse': 0.16285792, 'all_season_cc': 0.9842431859539028, 'mae': 142.77508864551783}
17
new best
validation:  {'corrcoef': 0.9892932826394059, 'rmse': 0.13879167, 'all_season_cc': 0.9895804871481729, 'mae': 2.1677457690238953}
train:  {'corrcoef': 0.9844476970856445, 'rmse': 0.16707829, 'all_season_cc': 0.9844450483633475, 'mae': 145.5832691192627}
18
validation:  {'corrcoef': 0.9893335993973074, 'rmse': 0.19249637, 'all_season_cc': 0.9894826995721403, 'mae': 2.8973426669836044}
train:  {'corrcoef': 0.9844122539187373, 'rmse': 0.22270246, 'all_season_cc': 0.9844164964954699, 'mae': 194.55104319751263}
19
validation:  {'corrcoef': 0.9887862928670753, 'rmse': 0.16515514, 'all_season_cc': 0.98920815106379, 'mae': 2.408303566277027}
train:  {'corrcoef': 0.9835534318553688, 'rmse': 0.20882413, 'all_season_cc': 0.983548831517651, 'mae': 183.43643337488174}
20
validation:  {'corrcoef': 0.9874319166474349, 'rmse': 0.13212757, 'all_season_cc': 0.9881339930347542, 'mae': 1.8240586817264557}
train:  {'corrcoef': 0.9818702569535336, 'rmse': 0.17644852, 'all_season_cc': 0.9818908782395602, 'mae': 152.70495092868805}
21
validation:  {'corrcoef': 0.9895543183885109, 'rmse': 0.12632275, 'all_season_cc': 0.9896585906066857, 'mae': 1.9170589074492455}
train:  {'corrcoef': 0.9845445817525018, 'rmse': 0.16189672, 'all_season_cc': 0.9845314065845653, 'mae': 140.973442196846}
22
validation:  {'corrcoef': 0.9877062846487902, 'rmse': 0.1689134, 'all_season_cc': 0.988382252164354, 'mae': 2.4343959987163544}
train:  {'corrcoef': 0.9832344129921047, 'rmse': 0.20667352, 'all_season_cc': 0.9832379122253078, 'mae': 183.14390686899424}
23
validation:  {'corrcoef': 0.9875440840740084, 'rmse': 0.18531847, 'all_season_cc': 0.987953440561477, 'mae': 2.779273860156536}
train:  {'corrcoef': 0.983562516659722, 'rmse': 0.21479958, 'all_season_cc': 0.9835411057117948, 'mae': 187.89357737451792}
24
validation:  {'corrcoef': 0.9882816292158138, 'rmse': 0.17547564, 'all_season_cc': 0.9884138969915942, 'mae': 2.5215474292635918}
train:  {'corrcoef': 0.9837950950215592, 'rmse': 0.22094898, 'all_season_cc': 0.9837998334031761, 'mae': 191.72890782356262}
25
validation:  {'corrcoef': 0.9881779868256555, 'rmse': 0.1287925, 'all_season_cc': 0.9884217967101909, 'mae': 1.8504355251789093}
train:  {'corrcoef': 0.9837290251280048, 'rmse': 0.16829751, 'all_season_cc': 0.983717144761719, 'mae': 146.17749424278736}
26
validation:  {'corrcoef': 0.9892431688788104, 'rmse': 0.17083591, 'all_season_cc': 0.9895371472170825, 'mae': 2.5983100160956383}
train:  {'corrcoef': 0.9845605942709685, 'rmse': 0.19884828, 'all_season_cc': 0.9845629293890803, 'mae': 176.48610358685255}
27
validation:  {'corrcoef': 0.9892516983426094, 'rmse': 0.115263425, 'all_season_cc': 0.9894872485322087, 'mae': 1.7001656517386436}
train:  {'corrcoef': 0.984534297350404, 'rmse': 0.15292934, 'all_season_cc': 0.9845362622613231, 'mae': 133.40408298373222}
28
validation:  {'corrcoef': 0.9894789006982363, 'rmse': 0.1640425, 'all_season_cc': 0.9898878964507603, 'mae': 2.44783603399992}
train:  {'corrcoef': 0.9846299449580636, 'rmse': 0.19913113, 'all_season_cc': 0.9846251882943778, 'mae': 175.30168353021145}
29
validation:  {'corrcoef': 0.9901463364265082, 'rmse': 0.119369805, 'all_season_cc': 0.9901324804471615, 'mae': 1.7872328087687492}
train:  {'corrcoef': 0.9847417217474087, 'rmse': 0.15976568, 'all_season_cc': 0.9847400037836364, 'mae': 139.3305375352502}
30
new best
The new directory is created!
Saving final model...
torch-version:  1.10.1
Namespace(data_dir='Data/', epochs=30, gpu_id=0, grid_edges='false', horizon=1, lr=None, numeof=None, optim='adam', out='out', seed=1, weight_decay=None)
device available : True
device count:  1
current device:  0
device name:  Tesla V100-SXM2-32GB
Tesla V100-SXM2-32GB
Memory Usage:
Allocated: 0.0 GB
Cached:    0.0 GB
using device:  cuda
out/1lead/
Train set: 36132 Validation set 600 Test set 408
shape static feats (842, 1200)
[GraphConvolution (6 -> 250), GraphConvolution (250 -> 100)]
bingbingbop
Using Adam optimizer: Lr= 0.005 Wd= 1e-06
validation:  {'corrcoef': 0.985998861670997, 'rmse': 0.18396266, 'all_season_cc': 0.986894218976091, 'mae': 2.8433651477098465}
train:  {'corrcoef': 0.9819588657636598, 'rmse': 0.19903639, 'all_season_cc': 0.9819636323098958, 'mae': 174.1670950576663}
validation:  {'corrcoef': 0.9890898770112831, 'rmse': 0.15639082, 'all_season_cc': 0.9892071777352612, 'mae': 2.505255065858364}
train:  {'corrcoef': 0.982008395474889, 'rmse': 0.18292385, 'all_season_cc': 0.9819982915083342, 'mae': 163.53121174126863}
2
new best
validation:  {'corrcoef': 0.9894948053496844, 'rmse': 0.11870385, 'all_season_cc': 0.9899617635400911, 'mae': 1.7813473418354988}
train:  {'corrcoef': 0.9832153387472988, 'rmse': 0.15489732, 'all_season_cc': 0.9832168948684804, 'mae': 134.40500704944134}
3
new best
validation:  {'corrcoef': 0.9878056916520696, 'rmse': 0.12207048, 'all_season_cc': 0.9883369097451054, 'mae': 1.7411795929074287}
train:  {'corrcoef': 0.9822181096775296, 'rmse': 0.1675691, 'all_season_cc': 0.9822166779197028, 'mae': 144.55957476049662}
4
validation:  {'corrcoef': 0.9893674489768562, 'rmse': 0.1426249, 'all_season_cc': 0.9898596447117517, 'mae': 2.1431461349129677}
train:  {'corrcoef': 0.9836632605656771, 'rmse': 0.18100554, 'all_season_cc': 0.9836484080978766, 'mae': 159.89856692403555}
5
validation:  {'corrcoef': 0.9891090747781652, 'rmse': 0.13038743, 'all_season_cc': 0.9897657968264256, 'mae': 1.920929990708828}
train:  {'corrcoef': 0.9840950909912466, 'rmse': 0.16921309, 'all_season_cc': 0.9840950670051264, 'mae': 148.55330675840378}
6
validation:  {'corrcoef': 0.9880228945720757, 'rmse': 0.27166232, 'all_season_cc': 0.9881974652803575, 'mae': 4.105985023081303}
train:  {'corrcoef': 0.9838771396966841, 'rmse': 0.2849845, 'all_season_cc': 0.9838772277763951, 'mae': 252.19093897938728}
7
validation:  {'corrcoef': 0.9885079289242893, 'rmse': 0.1891212, 'all_season_cc': 0.9887816661425127, 'mae': 2.7125610560178757}
train:  {'corrcoef': 0.983037947032856, 'rmse': 0.22950384, 'all_season_cc': 0.9830291564504322, 'mae': 198.09254700690508}
8
validation:  {'corrcoef': 0.9883167259947588, 'rmse': 0.14051671, 'all_season_cc': 0.9884822912356325, 'mae': 2.137978069484234}
train:  {'corrcoef': 0.9838659553424661, 'rmse': 0.17118487, 'all_season_cc': 0.9838623988191729, 'mae': 149.37651371955872}
9
validation:  {'corrcoef': 0.989319121404489, 'rmse': 0.11249372, 'all_season_cc': 0.9894067386969417, 'mae': 1.661509394645691}
train:  {'corrcoef': 0.984103738481822, 'rmse': 0.14694506, 'all_season_cc': 0.9841075483461402, 'mae': 126.52199207991362}
10
validation:  {'corrcoef': 0.9888140790666674, 'rmse': 0.13159254, 'all_season_cc': 0.9891054531303447, 'mae': 1.964099582284689}
train:  {'corrcoef': 0.9835095681528656, 'rmse': 0.17090565, 'all_season_cc': 0.9834963981589039, 'mae': 149.1969099715352}
11
validation:  {'corrcoef': 0.9896809848463511, 'rmse': 0.20036823, 'all_season_cc': 0.9898109389580821, 'mae': 3.3357817232608795}
train:  {'corrcoef': 0.98420347627784, 'rmse': 0.20972894, 'all_season_cc': 0.9842089463284992, 'mae': 192.6277859210968}
12
new best
validation:  {'corrcoef': 0.9879079166137811, 'rmse': 0.15144886, 'all_season_cc': 0.988687717419522, 'mae': 2.1924447119235992}
train:  {'corrcoef': 0.9833990994525842, 'rmse': 0.18389192, 'all_season_cc': 0.9833863193936073, 'mae': 160.09020507335663}
13
validation:  {'corrcoef': 0.9891212748561995, 'rmse': 0.14982162, 'all_season_cc': 0.9891542980717523, 'mae': 2.3028160333633423}
train:  {'corrcoef': 0.9842527169937945, 'rmse': 0.17655195, 'all_season_cc': 0.984241845940935, 'mae': 155.14237861335278}
14
validation:  {'corrcoef': 0.9895703186606578, 'rmse': 0.17314604, 'all_season_cc': 0.9894679385540681, 'mae': 2.6165409982204437}
train:  {'corrcoef': 0.984003994832349, 'rmse': 0.2048491, 'all_season_cc': 0.9839857558852031, 'mae': 180.72900464385748}
15
validation:  {'corrcoef': 0.9873093086436365, 'rmse': 0.1338172, 'all_season_cc': 0.988101706770895, 'mae': 2.075971558690071}
train:  {'corrcoef': 0.982695587791088, 'rmse': 0.1556451, 'all_season_cc': 0.9827056709738424, 'mae': 136.48769323527813}
16
validation:  {'corrcoef': 0.9897313946757214, 'rmse': 0.11925257, 'all_season_cc': 0.9898959787195967, 'mae': 1.7396720871329308}
train:  {'corrcoef': 0.9842533463536908, 'rmse': 0.16285792, 'all_season_cc': 0.9842431859539028, 'mae': 142.77508864551783}
17
new best
validation:  {'corrcoef': 0.9892932826394059, 'rmse': 0.13879167, 'all_season_cc': 0.9895804871481729, 'mae': 2.1677457690238953}
train:  {'corrcoef': 0.9844476970856445, 'rmse': 0.16707829, 'all_season_cc': 0.9844450483633475, 'mae': 145.5832691192627}
18
validation:  {'corrcoef': 0.9893335993973074, 'rmse': 0.19249637, 'all_season_cc': 0.9894826995721403, 'mae': 2.8973426669836044}
train:  {'corrcoef': 0.9844122539187373, 'rmse': 0.22270246, 'all_season_cc': 0.9844164964954699, 'mae': 194.55104319751263}
19
validation:  {'corrcoef': 0.9887862928670753, 'rmse': 0.16515514, 'all_season_cc': 0.98920815106379, 'mae': 2.408303566277027}
train:  {'corrcoef': 0.9835534318553688, 'rmse': 0.20882413, 'all_season_cc': 0.983548831517651, 'mae': 183.43643337488174}
20
validation:  {'corrcoef': 0.9874319166474349, 'rmse': 0.13212757, 'all_season_cc': 0.9881339930347542, 'mae': 1.8240586817264557}
train:  {'corrcoef': 0.9818702569535336, 'rmse': 0.17644852, 'all_season_cc': 0.9818908782395602, 'mae': 152.70495092868805}
21
validation:  {'corrcoef': 0.9895543183885109, 'rmse': 0.12632275, 'all_season_cc': 0.9896585906066857, 'mae': 1.9170589074492455}
train:  {'corrcoef': 0.9845445817525018, 'rmse': 0.16189672, 'all_season_cc': 0.9845314065845653, 'mae': 140.973442196846}
22
validation:  {'corrcoef': 0.9877062846487902, 'rmse': 0.1689134, 'all_season_cc': 0.988382252164354, 'mae': 2.4343959987163544}
train:  {'corrcoef': 0.9832344129921047, 'rmse': 0.20667352, 'all_season_cc': 0.9832379122253078, 'mae': 183.14390686899424}
23
validation:  {'corrcoef': 0.9875440840740084, 'rmse': 0.18531847, 'all_season_cc': 0.987953440561477, 'mae': 2.779273860156536}
train:  {'corrcoef': 0.983562516659722, 'rmse': 0.21479958, 'all_season_cc': 0.9835411057117948, 'mae': 187.89357737451792}
24
validation:  {'corrcoef': 0.9882816292158138, 'rmse': 0.17547564, 'all_season_cc': 0.9884138969915942, 'mae': 2.5215474292635918}
train:  {'corrcoef': 0.9837950950215592, 'rmse': 0.22094898, 'all_season_cc': 0.9837998334031761, 'mae': 191.72890782356262}
25
validation:  {'corrcoef': 0.9881779868256555, 'rmse': 0.1287925, 'all_season_cc': 0.9884217967101909, 'mae': 1.8504355251789093}
train:  {'corrcoef': 0.9837290251280048, 'rmse': 0.16829751, 'all_season_cc': 0.983717144761719, 'mae': 146.17749424278736}
26
validation:  {'corrcoef': 0.9892431688788104, 'rmse': 0.17083591, 'all_season_cc': 0.9895371472170825, 'mae': 2.5983100160956383}
train:  {'corrcoef': 0.9845605942709685, 'rmse': 0.19884828, 'all_season_cc': 0.9845629293890803, 'mae': 176.48610358685255}
27
validation:  {'corrcoef': 0.9892516983426094, 'rmse': 0.115263425, 'all_season_cc': 0.9894872485322087, 'mae': 1.7001656517386436}
train:  {'corrcoef': 0.984534297350404, 'rmse': 0.15292934, 'all_season_cc': 0.9845362622613231, 'mae': 133.40408298373222}
28
validation:  {'corrcoef': 0.9894789006982363, 'rmse': 0.1640425, 'all_season_cc': 0.9898878964507603, 'mae': 2.44783603399992}
train:  {'corrcoef': 0.9846299449580636, 'rmse': 0.19913113, 'all_season_cc': 0.9846251882943778, 'mae': 175.30168353021145}
29
validation:  {'corrcoef': 0.9901463364265082, 'rmse': 0.119369805, 'all_season_cc': 0.9901324804471615, 'mae': 1.7872328087687492}
train:  {'corrcoef': 0.9847417217474087, 'rmse': 0.15976568, 'all_season_cc': 0.9847400037836364, 'mae': 139.3305375352502}
30
new best
Saving final model...
torch-version:  1.10.1
Namespace(data_dir='Data/', epochs=30, gpu_id=0, grid_edges='false', horizon=1, lr=None, numeof=None, optim='adam', out='out', seed=1, weight_decay=None)
device available : True
device count:  1
current device:  0
device name:  Tesla V100-SXM2-32GB
Tesla V100-SXM2-32GB
Memory Usage:
Allocated: 0.0 GB
Cached:    0.0 GB
using device:  cuda
out/1lead/
Train set: 36132 Validation set 600 Test set 408
shape static feats (602, 1200)
[GraphConvolution (6 -> 250), GraphConvolution (250 -> 1)]
Using Adam optimizer: Lr= 0.005 Wd= 1e-06
validation:  {'corrcoef': 0.9879483963229303, 'rmse': 0.1338464, 'all_season_cc': 0.988616453219555, 'mae': 2.0290874540805817}
train:  {'corrcoef': 0.9827274631532618, 'rmse': 0.15746483, 'all_season_cc': 0.982716515150754, 'mae': 136.94282849878073}
validation:  {'corrcoef': 0.9891735153321192, 'rmse': 0.17849065, 'all_season_cc': 0.9892025537863686, 'mae': 2.658184692263603}
train:  {'corrcoef': 0.9836683065232456, 'rmse': 0.23306659, 'all_season_cc': 0.983658203684744, 'mae': 208.02070029824972}
2
new best
validation:  {'corrcoef': 0.989361776717122, 'rmse': 0.120338626, 'all_season_cc': 0.9893448093923641, 'mae': 1.7633590586483479}
train:  {'corrcoef': 0.9830547046558538, 'rmse': 0.1599966, 'all_season_cc': 0.9830490196118249, 'mae': 138.6355822607875}
3
new best
validation:  {'corrcoef': 0.9892773990181589, 'rmse': 0.12890744, 'all_season_cc': 0.9893861224126771, 'mae': 1.958705723285675}
train:  {'corrcoef': 0.9835824273567093, 'rmse': 0.16565235, 'all_season_cc': 0.9835881602175297, 'mae': 144.50479631498456}
4
validation:  {'corrcoef': 0.9884112880529071, 'rmse': 0.14986075, 'all_season_cc': 0.988509299675529, 'mae': 2.261777587234974}
train:  {'corrcoef': 0.9826634635829052, 'rmse': 0.1721807, 'all_season_cc': 0.9826713769095697, 'mae': 148.698595225811}
5
validation:  {'corrcoef': 0.9887015566015005, 'rmse': 0.14357144, 'all_season_cc': 0.9892280197656561, 'mae': 2.0658024176955223}
train:  {'corrcoef': 0.9840679492531311, 'rmse': 0.19643602, 'all_season_cc': 0.9840684657559017, 'mae': 173.33484780043364}
6
validation:  {'corrcoef': 0.9888300124910523, 'rmse': 0.1432869, 'all_season_cc': 0.9891837484639261, 'mae': 2.2016609758138657}
train:  {'corrcoef': 0.9836955811927469, 'rmse': 0.17270313, 'all_season_cc': 0.9836892338594084, 'mae': 149.44627352058887}
7
validation:  {'corrcoef': 0.9885914378169013, 'rmse': 0.16478704, 'all_season_cc': 0.988740590589548, 'mae': 2.405487857758999}
train:  {'corrcoef': 0.982825630839336, 'rmse': 0.20874052, 'all_season_cc': 0.9828225194561777, 'mae': 182.8161673694849}
8
validation:  {'corrcoef': 0.9892668290716559, 'rmse': 0.15061699, 'all_season_cc': 0.9893890312841881, 'mae': 2.2485751658678055}
train:  {'corrcoef': 0.9839759934063202, 'rmse': 0.1849403, 'all_season_cc': 0.9839671212568443, 'mae': 163.15699940919876}
9
validation:  {'corrcoef': 0.9888995544649242, 'rmse': 0.15153627, 'all_season_cc': 0.9892154443429296, 'mae': 2.215585120022297}
train:  {'corrcoef': 0.9838479211789537, 'rmse': 0.19905333, 'all_season_cc': 0.983845572323495, 'mae': 176.4681569710374}
10
validation:  {'corrcoef': 0.9892381067116333, 'rmse': 0.11560589, 'all_season_cc': 0.9892532714125318, 'mae': 1.6999074444174767}
train:  {'corrcoef': 0.9840403319212302, 'rmse': 0.15374498, 'all_season_cc': 0.9840199163089668, 'mae': 133.8107359111309}
11
validation:  {'corrcoef': 0.9881771346480431, 'rmse': 0.18046731, 'all_season_cc': 0.9884000565512051, 'mae': 2.6652755588293076}
train:  {'corrcoef': 0.9827341558168569, 'rmse': 0.21496762, 'all_season_cc': 0.9827301723730173, 'mae': 190.53477772325277}
12
validation:  {'corrcoef': 0.9891992207303942, 'rmse': 0.17041475, 'all_season_cc': 0.9895428406928041, 'mae': 2.548403836786747}
train:  {'corrcoef': 0.9837354337974112, 'rmse': 0.21004033, 'all_season_cc': 0.9837323043030329, 'mae': 184.17348228394985}
13
validation:  {'corrcoef': 0.9897123652973085, 'rmse': 0.13711914, 'all_season_cc': 0.9898204443341442, 'mae': 2.0789459347724915}
train:  {'corrcoef': 0.9841155095264824, 'rmse': 0.16433617, 'all_season_cc': 0.9841006040503774, 'mae': 144.28212251514196}
14
new best
validation:  {'corrcoef': 0.9897443261974382, 'rmse': 0.11413042, 'all_season_cc': 0.9896852595184197, 'mae': 1.6711825542151928}
train:  {'corrcoef': 0.9840864230749963, 'rmse': 0.15896553, 'all_season_cc': 0.9840771910604356, 'mae': 137.77975814044476}
15
new best
validation:  {'corrcoef': 0.9891171810298762, 'rmse': 0.13589485, 'all_season_cc': 0.989150377217824, 'mae': 2.1428555697202682}
train:  {'corrcoef': 0.9839915518974666, 'rmse': 0.16010821, 'all_season_cc': 0.9839887773053407, 'mae': 139.94508484005928}
16
validation:  {'corrcoef': 0.9900386170384219, 'rmse': 0.1545877, 'all_season_cc': 0.9899961910251687, 'mae': 2.220750778913498}
train:  {'corrcoef': 0.9843612375409093, 'rmse': 0.20487824, 'all_season_cc': 0.984347129680548, 'mae': 183.93064238876104}
17
new best
validation:  {'corrcoef': 0.9895811038800769, 'rmse': 0.12946104, 'all_season_cc': 0.9898489700624427, 'mae': 1.8908345364034176}
train:  {'corrcoef': 0.9838038498452693, 'rmse': 0.17079942, 'all_season_cc': 0.9837990294506124, 'mae': 149.26888823509216}
18
validation:  {'corrcoef': 0.9894802493042135, 'rmse': 0.1171575, 'all_season_cc': 0.9895863266503282, 'mae': 1.7315109595656395}
train:  {'corrcoef': 0.9842362369584834, 'rmse': 0.1566094, 'all_season_cc': 0.9842477934660804, 'mae': 136.27263414859772}
19
validation:  {'corrcoef': 0.9886235286019944, 'rmse': 0.13469513, 'all_season_cc': 0.9888142263851409, 'mae': 1.9132086858153343}
train:  {'corrcoef': 0.9834685100233032, 'rmse': 0.17584628, 'all_season_cc': 0.9834683620288732, 'mae': 151.6153218448162}
20
validation:  {'corrcoef': 0.9897588735138553, 'rmse': 0.1436989, 'all_season_cc': 0.9898264185843407, 'mae': 2.1647047325968742}
train:  {'corrcoef': 0.98418308075751, 'rmse': 0.18240055, 'all_season_cc': 0.9841817759728196, 'mae': 160.97191955149174}
21
validation:  {'corrcoef': 0.9897930857427529, 'rmse': 0.13430412, 'all_season_cc': 0.9897005321370056, 'mae': 1.968398004770279}
train:  {'corrcoef': 0.9842345445707795, 'rmse': 0.18128103, 'all_season_cc': 0.9842326671367662, 'mae': 160.8155990242958}
22
validation:  {'corrcoef': 0.9892850831466407, 'rmse': 0.12249319, 'all_season_cc': 0.9894959971344832, 'mae': 1.7530116960406303}
train:  {'corrcoef': 0.9840867594767501, 'rmse': 0.16932715, 'all_season_cc': 0.984090208878078, 'mae': 146.7702662497759}
23
validation:  {'corrcoef': 0.9898981275779374, 'rmse': 0.15692812, 'all_season_cc': 0.9900674299798403, 'mae': 2.333333134651184}
train:  {'corrcoef': 0.9841144409422852, 'rmse': 0.20075922, 'all_season_cc': 0.9841109577393065, 'mae': 175.52979362756014}
24
validation:  {'corrcoef': 0.9902351419378826, 'rmse': 0.17216615, 'all_season_cc': 0.9900168443609987, 'mae': 2.6479082331061363}
train:  {'corrcoef': 0.9840390229571064, 'rmse': 0.20192875, 'all_season_cc': 0.984038433990166, 'mae': 175.38705123215914}
25
new best
validation:  {'corrcoef': 0.9894794479311745, 'rmse': 0.14544323, 'all_season_cc': 0.989513727555933, 'mae': 2.143845461308956}
train:  {'corrcoef': 0.9842549812951809, 'rmse': 0.18265738, 'all_season_cc': 0.9842447783531204, 'mae': 158.98927326500416}
26
validation:  {'corrcoef': 0.9899035997504865, 'rmse': 0.11230552, 'all_season_cc': 0.9900051028970381, 'mae': 1.660754207521677}
train:  {'corrcoef': 0.9841372561677657, 'rmse': 0.1530779, 'all_season_cc': 0.9841297439811919, 'mae': 132.940273322165}
27
validation:  {'corrcoef': 0.9900076352395449, 'rmse': 0.15482159, 'all_season_cc': 0.9899767540559354, 'mae': 2.329539231956005}
train:  {'corrcoef': 0.984430217162247, 'rmse': 0.18970287, 'all_season_cc': 0.9844268691535932, 'mae': 166.323903337121}
28
validation:  {'corrcoef': 0.9902522361779972, 'rmse': 0.16728538, 'all_season_cc': 0.9902622618887121, 'mae': 2.6775591298937798}
train:  {'corrcoef': 0.9839842125076165, 'rmse': 0.18787505, 'all_season_cc': 0.9839720661056034, 'mae': 168.4607917740941}
29
new best
validation:  {'corrcoef': 0.9893725436643824, 'rmse': 0.15005653, 'all_season_cc': 0.9895813879980034, 'mae': 2.1038452982902527}
train:  {'corrcoef': 0.9841352552580718, 'rmse': 0.19837907, 'all_season_cc': 0.9841268071736137, 'mae': 176.37913271784782}
30
The new directory is created!
this is your model: nlim(
  (layers): ModuleList(
    (0): GraphConvolution (6 -> 250)
    (1): GraphConvolution (250 -> 1)
  )
  (MLP_layer): LIM_MLP(
    (FC_layers): ModuleList(
      (0): Linear(in_features=602, out_features=301, bias=True)
      (1): BatchNorm1d(301, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
      (2): ELU(alpha=1.0)
      (3): Linear(in_features=301, out_features=150, bias=True)
      (4): BatchNorm1d(150, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
      (5): ELU(alpha=1.0)
      (6): Linear(in_features=150, out_features=75, bias=True)
      (7): BatchNorm1d(75, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
      (8): ELU(alpha=1.0)
      (9): Linear(in_features=75, out_features=37, bias=True)
      (10): BatchNorm1d(37, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
      (11): ELU(alpha=1.0)
    )
    (out_layer): Linear(in_features=37, out_features=1, bias=True)
  )
  (LIM_learner): LIMG_PC()
)
Saving final model...
out/1lead/
Train set: 36132 Validation set 600 Test set 408
shape static feats (602, 1200)
outputdim: 1
[GraphConvolution (6 -> 250), GraphConvolution (250 -> 1)]
Using Adam optimizer: Lr= 0.005 Wd= 1e-06
getttt probable babbby
CRPS LOSS:  tensor(0.0961)
validation:  {'corrcoef': 0.9855685928855732, 'rmse': 0.16773061, 'all_season_cc': 0.9861298250832559, 'mae': 2.5412170812487602, 'crps': tensor(0.0961)}
train:  {'corrcoef': 0.9802350187244768, 'rmse': 0.19194776, 'all_season_cc': 0.9802257443468491, 'mae': 171.0862255692482}
best crps: tensor(0.0961)
CRPS LOSS:  tensor(0.0786)
validation:  {'corrcoef': 0.9891224856684345, 'rmse': 0.11644071, 'all_season_cc': 0.9893269456027198, 'mae': 1.7212976664304733, 'crps': tensor(0.0786)}
train:  {'corrcoef': 0.9833219873622003, 'rmse': 0.14917785, 'all_season_cc': 0.9833255402805575, 'mae': 127.51554776728153}
2
new best
best crps: tensor(0.0786)
CRPS LOSS:  tensor(0.0927)
validation:  {'corrcoef': 0.9880227012106683, 'rmse': 0.16351971, 'all_season_cc': 0.9885482369318442, 'mae': 2.3804354444146156, 'crps': tensor(0.0927)}
train:  {'corrcoef': 0.9818837140502059, 'rmse': 0.19683373, 'all_season_cc': 0.9818705254560568, 'mae': 170.40127358585596}
3
CRPS LOSS:  tensor(0.1013)
validation:  {'corrcoef': 0.9889277450440206, 'rmse': 0.18042123, 'all_season_cc': 0.9893546034397217, 'mae': 2.6761500015854836, 'crps': tensor(0.1013)}
train:  {'corrcoef': 0.983390679130404, 'rmse': 0.20954034, 'all_season_cc': 0.9833629926499121, 'mae': 184.46222069859505}
4
CRPS LOSS:  tensor(0.1026)
validation:  {'corrcoef': 0.988697287062453, 'rmse': 0.186853, 'all_season_cc': 0.9886102509011457, 'mae': 2.7514153197407722, 'crps': tensor(0.1026)}
train:  {'corrcoef': 0.98335213586718, 'rmse': 0.23262283, 'all_season_cc': 0.983337016228958, 'mae': 204.75011041760445}
5
CRPS LOSS:  tensor(0.0838)
validation:  {'corrcoef': 0.9893546487730127, 'rmse': 0.14213544, 'all_season_cc': 0.9896768407722237, 'mae': 2.2027712613344193, 'crps': tensor(0.0838)}
train:  {'corrcoef': 0.9841082982938012, 'rmse': 0.17109042, 'all_season_cc': 0.9841025056837034, 'mae': 148.42343696951866}
6
CRPS LOSS:  tensor(0.0873)
validation:  {'corrcoef': 0.9890227733919035, 'rmse': 0.15303388, 'all_season_cc': 0.9890679989698651, 'mae': 2.2784867882728577, 'crps': tensor(0.0873)}
train:  {'corrcoef': 0.9837088534672338, 'rmse': 0.19403674, 'all_season_cc': 0.9837014202482521, 'mae': 169.436624661088}
7
CRPS LOSS:  tensor(0.0836)
validation:  {'corrcoef': 0.9896283336017949, 'rmse': 0.14841396, 'all_season_cc': 0.9897843120915125, 'mae': 2.1539016738533974, 'crps': tensor(0.0836)}
train:  {'corrcoef': 0.9834201138579103, 'rmse': 0.19447352, 'all_season_cc': 0.9834255516859399, 'mae': 169.95110461860895}
8
CRPS LOSS:  tensor(0.0719)
validation:  {'corrcoef': 0.9891922631035183, 'rmse': 0.11332916, 'all_season_cc': 0.9894999255865732, 'mae': 1.6795117408037186, 'crps': tensor(0.0719)}
train:  {'corrcoef': 0.9840527404472685, 'rmse': 0.14886853, 'all_season_cc': 0.9840512733325335, 'mae': 127.62376207858324}
9
new best
best crps: tensor(0.0719)
CRPS LOSS:  tensor(0.0978)
validation:  {'corrcoef': 0.9892146862504811, 'rmse': 0.17692825, 'all_season_cc': 0.9893207265982223, 'mae': 2.653425559401512, 'crps': tensor(0.0978)}
train:  {'corrcoef': 0.9836668053923996, 'rmse': 0.21536216, 'all_season_cc': 0.9836491920931346, 'mae': 189.36551763117313}
10
CRPS LOSS:  tensor(0.0918)
validation:  {'corrcoef': 0.9879516950958401, 'rmse': 0.16372882, 'all_season_cc': 0.9877134417197122, 'mae': 2.423234708607197, 'crps': tensor(0.0918)}
train:  {'corrcoef': 0.9829665048018429, 'rmse': 0.19506364, 'all_season_cc': 0.9829655517421031, 'mae': 170.11608920246363}
11
CRPS LOSS:  tensor(0.0890)
validation:  {'corrcoef': 0.9894519073467323, 'rmse': 0.15311378, 'all_season_cc': 0.9896140707121358, 'mae': 2.4228423461318016, 'crps': tensor(0.0890)}
train:  {'corrcoef': 0.9842555872817268, 'rmse': 0.1751479, 'all_season_cc': 0.9842578108052068, 'mae': 154.67877765744925}
12
CRPS LOSS:  tensor(0.0953)
validation:  {'corrcoef': 0.9884127016066989, 'rmse': 0.17276761, 'all_season_cc': 0.9886155961055444, 'mae': 2.455484315752983, 'crps': tensor(0.0953)}
train:  {'corrcoef': 0.9831416293329674, 'rmse': 0.22428751, 'all_season_cc': 0.9831455871204017, 'mae': 196.41081330925226}
13
CRPS LOSS:  tensor(0.0748)
validation:  {'corrcoef': 0.988872367379828, 'rmse': 0.11971989, 'all_season_cc': 0.9891518975719316, 'mae': 1.7769952341914177, 'crps': tensor(0.0748)}
train:  {'corrcoef': 0.9838242133357493, 'rmse': 0.1481332, 'all_season_cc': 0.9838201899205231, 'mae': 127.03500977158546}
14
CRPS LOSS:  tensor(0.0855)
validation:  {'corrcoef': 0.9900263244517384, 'rmse': 0.15092005, 'all_season_cc': 0.9899622295931382, 'mae': 2.229574091732502, 'crps': tensor(0.0855)}
train:  {'corrcoef': 0.9841902397572465, 'rmse': 0.19144955, 'all_season_cc': 0.9841734526924801, 'mae': 167.30848398804665}
15
CRPS LOSS:  tensor(0.0755)
validation:  {'corrcoef': 0.988890331704932, 'rmse': 0.12095847, 'all_season_cc': 0.9891150640412065, 'mae': 1.759146548807621, 'crps': tensor(0.0755)}
train:  {'corrcoef': 0.983969474897681, 'rmse': 0.16220355, 'all_season_cc': 0.9839785984176729, 'mae': 141.16575501859188}
16
CRPS LOSS:  tensor(0.0758)
validation:  {'corrcoef': 0.9890119958608987, 'rmse': 0.12785773, 'all_season_cc': 0.9891823859221374, 'mae': 1.8228556290268898, 'crps': tensor(0.0758)}
train:  {'corrcoef': 0.9842707520656377, 'rmse': 0.17083561, 'all_season_cc': 0.9842700879513843, 'mae': 148.42621026188135}
17
CRPS LOSS:  tensor(0.0798)
validation:  {'corrcoef': 0.9891669240373925, 'rmse': 0.12944669, 'all_season_cc': 0.9890884964527816, 'mae': 2.022508293390274, 'crps': tensor(0.0798)}
train:  {'corrcoef': 0.9841259965878927, 'rmse': 0.15282188, 'all_season_cc': 0.984114270941448, 'mae': 132.67450596392155}
18
CRPS LOSS:  tensor(0.0762)
validation:  {'corrcoef': 0.9892699306056678, 'rmse': 0.124771446, 'all_season_cc': 0.989589395680516, 'mae': 1.8601795881986618, 'crps': tensor(0.0762)}
train:  {'corrcoef': 0.9844028397707802, 'rmse': 0.15744717, 'all_season_cc': 0.9843986014323738, 'mae': 135.98003267496824}
19
CRPS LOSS:  tensor(0.0792)
validation:  {'corrcoef': 0.9888826284749611, 'rmse': 0.12963189, 'all_season_cc': 0.9890366888569248, 'mae': 1.8613936603069305, 'crps': tensor(0.0792)}
train:  {'corrcoef': 0.9840121763424999, 'rmse': 0.17476942, 'all_season_cc': 0.9840134969352915, 'mae': 155.34613812714815}
20
CRPS LOSS:  tensor(0.1119)
validation:  {'corrcoef': 0.989160501361541, 'rmse': 0.20369025, 'all_season_cc': 0.9891748698689757, 'mae': 3.0040035471320152, 'crps': tensor(0.1119)}
train:  {'corrcoef': 0.9835805966910477, 'rmse': 0.23484525, 'all_season_cc': 0.9835792398257507, 'mae': 202.87512835860252}
21
CRPS LOSS:  tensor(0.0860)
validation:  {'corrcoef': 0.9894252116389587, 'rmse': 0.15097362, 'all_season_cc': 0.9894567768953402, 'mae': 2.3058544248342514, 'crps': tensor(0.0860)}
train:  {'corrcoef': 0.9842785941559061, 'rmse': 0.18390192, 'all_season_cc': 0.9842818650994104, 'mae': 161.1496945694089}
22
CRPS LOSS:  tensor(0.0823)
validation:  {'corrcoef': 0.989408034466569, 'rmse': 0.14261962, 'all_season_cc': 0.9894588487705382, 'mae': 2.101846754550934, 'crps': tensor(0.0823)}
train:  {'corrcoef': 0.984336015440736, 'rmse': 0.17861839, 'all_season_cc': 0.9843356419330623, 'mae': 155.37164347618818}
23
CRPS LOSS:  tensor(0.0925)
validation:  {'corrcoef': 0.98895330897123, 'rmse': 0.16219868, 'all_season_cc': 0.9893690219395378, 'mae': 2.523505926132202, 'crps': tensor(0.0925)}
train:  {'corrcoef': 0.9840676646673915, 'rmse': 0.18775192, 'all_season_cc': 0.9840615767491973, 'mae': 166.55679390579462}
24
CRPS LOSS:  tensor(0.0939)
validation:  {'corrcoef': 0.989522117030485, 'rmse': 0.16318004, 'all_season_cc': 0.9895031513054962, 'mae': 2.615292191505432, 'crps': tensor(0.0939)}
train:  {'corrcoef': 0.9844375964736904, 'rmse': 0.1835514, 'all_season_cc': 0.9844236103462961, 'mae': 162.4697505235672}
25
CRPS LOSS:  tensor(0.0778)
validation:  {'corrcoef': 0.9879842462643242, 'rmse': 0.12837026, 'all_season_cc': 0.9882652626150218, 'mae': 1.9449809938669205, 'crps': tensor(0.0778)}
train:  {'corrcoef': 0.983234532766362, 'rmse': 0.15666601, 'all_season_cc': 0.9832334437689835, 'mae': 133.51064056158066}
26
CRPS LOSS:  tensor(0.0834)
validation:  {'corrcoef': 0.9893376709065524, 'rmse': 0.14016993, 'all_season_cc': 0.9895359512723566, 'mae': 1.9896993711590767, 'crps': tensor(0.0834)}
train:  {'corrcoef': 0.9840527252371687, 'rmse': 0.19162105, 'all_season_cc': 0.9840492468787576, 'mae': 170.3240183889866}
27
CRPS LOSS:  tensor(0.0822)
validation:  {'corrcoef': 0.9891300966796552, 'rmse': 0.14256847, 'all_season_cc': 0.9894417148046445, 'mae': 2.0797978565096855, 'crps': tensor(0.0822)}
train:  {'corrcoef': 0.9842787657195227, 'rmse': 0.18757969, 'all_season_cc': 0.984273684675698, 'mae': 165.46937790885568}
28
CRPS LOSS:  tensor(0.0753)
validation:  {'corrcoef': 0.9888193362233106, 'rmse': 0.12274685, 'all_season_cc': 0.98893578463875, 'mae': 1.8352220617234707, 'crps': tensor(0.0753)}
train:  {'corrcoef': 0.9842523692119981, 'rmse': 0.15750359, 'all_season_cc': 0.9842533077985149, 'mae': 136.5458066612482}
29
CRPS LOSS:  tensor(0.0895)
validation:  {'corrcoef': 0.9888283023342567, 'rmse': 0.15701197, 'all_season_cc': 0.9891686238772799, 'mae': 2.2880848608911037, 'crps': tensor(0.0895)}
train:  {'corrcoef': 0.9839406591888117, 'rmse': 0.19371977, 'all_season_cc': 0.983943073889873, 'mae': 169.28588148206472}
30
The new directory is created!
this is your model: nlim(
  (layers): ModuleList(
    (0): GraphConvolution (6 -> 250)
    (1): GraphConvolution (250 -> 1)
  )
  (MLP_layer): LIM_MLP_GaussLL(
    (FC_layers): ModuleList(
      (0): Linear(in_features=602, out_features=301, bias=True)
      (1): BatchNorm1d(301, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
      (2): ELU(alpha=1.0)
      (3): Linear(in_features=301, out_features=150, bias=True)
      (4): BatchNorm1d(150, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
      (5): ELU(alpha=1.0)
      (6): Linear(in_features=150, out_features=75, bias=True)
      (7): BatchNorm1d(75, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
      (8): ELU(alpha=1.0)
      (9): Linear(in_features=75, out_features=37, bias=True)
      (10): BatchNorm1d(37, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
      (11): ELU(alpha=1.0)
    )
    (out_layer): Linear(in_features=37, out_features=1, bias=True)
    (var_layer): Linear(in_features=37, out_features=1, bias=True)
  )
  (LIM_learner): LIMG_PC()
)
Saving final model...
torch-version:  1.10.1
Namespace(data_dir='Data/', epochs=30, gpu_id=0, grid_edges='false', horizon=1, lr=None, numeof=None, optim='adam', out='out', seed=1, weight_decay=None)
device available : True
device count:  1
current device:  0
device name:  Tesla V100-SXM2-32GB
Tesla V100-SXM2-32GB
Memory Usage:
Allocated: 0.0 GB
Cached:    0.0 GB
using device:  cuda
out/1lead/
Train set: 36132 Validation set 600 Test set 408
shape static feats (602, 1200)
[GraphConvolution (6 -> 250), GraphConvolution (250 -> 1)]
Using Adam optimizer: Lr= 0.005 Wd= 1e-06
validation:  {'corrcoef': 0.9879483963229303, 'rmse': 0.1338464, 'all_season_cc': 0.988616453219555, 'mae': 2.0290874540805817}
train:  {'corrcoef': 0.9827274631532618, 'rmse': 0.15746483, 'all_season_cc': 0.982716515150754, 'mae': 136.94282849878073}
validation:  {'corrcoef': 0.9891735153321192, 'rmse': 0.17849065, 'all_season_cc': 0.9892025537863686, 'mae': 2.658184692263603}
train:  {'corrcoef': 0.9836683065232456, 'rmse': 0.23306659, 'all_season_cc': 0.983658203684744, 'mae': 208.02070029824972}
2
new best
validation:  {'corrcoef': 0.989361776717122, 'rmse': 0.120338626, 'all_season_cc': 0.9893448093923641, 'mae': 1.7633590586483479}
train:  {'corrcoef': 0.9830547046558538, 'rmse': 0.1599966, 'all_season_cc': 0.9830490196118249, 'mae': 138.6355822607875}
3
validation:  {'corrcoef': 0.9892773990181589, 'rmse': 0.12890744, 'all_season_cc': 0.9893861224126771, 'mae': 1.958705723285675}
train:  {'corrcoef': 0.9835824273567093, 'rmse': 0.16565235, 'all_season_cc': 0.9835881602175297, 'mae': 144.50479631498456}
4
validation:  {'corrcoef': 0.9884112880529071, 'rmse': 0.14986075, 'all_season_cc': 0.988509299675529, 'mae': 2.261777587234974}
train:  {'corrcoef': 0.9826634635829052, 'rmse': 0.1721807, 'all_season_cc': 0.9826713769095697, 'mae': 148.698595225811}
5
validation:  {'corrcoef': 0.9887015566015005, 'rmse': 0.14357144, 'all_season_cc': 0.9892280197656561, 'mae': 2.0658024176955223}
train:  {'corrcoef': 0.9840679492531311, 'rmse': 0.19643602, 'all_season_cc': 0.9840684657559017, 'mae': 173.33484780043364}
6
validation:  {'corrcoef': 0.9888300124910523, 'rmse': 0.1432869, 'all_season_cc': 0.9891837484639261, 'mae': 2.2016609758138657}
train:  {'corrcoef': 0.9836955811927469, 'rmse': 0.17270313, 'all_season_cc': 0.9836892338594084, 'mae': 149.44627352058887}
7
validation:  {'corrcoef': 0.9885914378169013, 'rmse': 0.16478704, 'all_season_cc': 0.988740590589548, 'mae': 2.405487857758999}
train:  {'corrcoef': 0.982825630839336, 'rmse': 0.20874052, 'all_season_cc': 0.9828225194561777, 'mae': 182.8161673694849}
8
validation:  {'corrcoef': 0.9892668290716559, 'rmse': 0.15061699, 'all_season_cc': 0.9893890312841881, 'mae': 2.2485751658678055}
train:  {'corrcoef': 0.9839759934063202, 'rmse': 0.1849403, 'all_season_cc': 0.9839671212568443, 'mae': 163.15699940919876}
9
validation:  {'corrcoef': 0.9888995544649242, 'rmse': 0.15153627, 'all_season_cc': 0.9892154443429296, 'mae': 2.215585120022297}
train:  {'corrcoef': 0.9838479211789537, 'rmse': 0.19905333, 'all_season_cc': 0.983845572323495, 'mae': 176.4681569710374}
10
validation:  {'corrcoef': 0.9892381067116333, 'rmse': 0.11560589, 'all_season_cc': 0.9892532714125318, 'mae': 1.6999074444174767}
train:  {'corrcoef': 0.9840403319212302, 'rmse': 0.15374498, 'all_season_cc': 0.9840199163089668, 'mae': 133.8107359111309}
11
validation:  {'corrcoef': 0.9881771346480431, 'rmse': 0.18046731, 'all_season_cc': 0.9884000565512051, 'mae': 2.6652755588293076}
train:  {'corrcoef': 0.9827341558168569, 'rmse': 0.21496762, 'all_season_cc': 0.9827301723730173, 'mae': 190.53477772325277}
12
new best
validation:  {'corrcoef': 0.9891992207303942, 'rmse': 0.17041475, 'all_season_cc': 0.9895428406928041, 'mae': 2.548403836786747}
train:  {'corrcoef': 0.9837354337974112, 'rmse': 0.21004033, 'all_season_cc': 0.9837323043030329, 'mae': 184.17348228394985}
13
validation:  {'corrcoef': 0.9897123652973085, 'rmse': 0.13711914, 'all_season_cc': 0.9898204443341442, 'mae': 2.0789459347724915}
train:  {'corrcoef': 0.9841155095264824, 'rmse': 0.16433617, 'all_season_cc': 0.9841006040503774, 'mae': 144.28212251514196}
14
validation:  {'corrcoef': 0.9897443261974382, 'rmse': 0.11413042, 'all_season_cc': 0.9896852595184197, 'mae': 1.6711825542151928}
train:  {'corrcoef': 0.9840864230749963, 'rmse': 0.15896553, 'all_season_cc': 0.9840771910604356, 'mae': 137.77975814044476}
15
validation:  {'corrcoef': 0.9891171810298762, 'rmse': 0.13589485, 'all_season_cc': 0.989150377217824, 'mae': 2.1428555697202682}
train:  {'corrcoef': 0.9839915518974666, 'rmse': 0.16010821, 'all_season_cc': 0.9839887773053407, 'mae': 139.94508484005928}
16
validation:  {'corrcoef': 0.9900386170384219, 'rmse': 0.1545877, 'all_season_cc': 0.9899961910251687, 'mae': 2.220750778913498}
train:  {'corrcoef': 0.9843612375409093, 'rmse': 0.20487824, 'all_season_cc': 0.984347129680548, 'mae': 183.93064238876104}
17
validation:  {'corrcoef': 0.9895811038800769, 'rmse': 0.12946104, 'all_season_cc': 0.9898489700624427, 'mae': 1.8908345364034176}
train:  {'corrcoef': 0.9838038498452693, 'rmse': 0.17079942, 'all_season_cc': 0.9837990294506124, 'mae': 149.26888823509216}
18
validation:  {'corrcoef': 0.9894802493042135, 'rmse': 0.1171575, 'all_season_cc': 0.9895863266503282, 'mae': 1.7315109595656395}
train:  {'corrcoef': 0.9842362369584834, 'rmse': 0.1566094, 'all_season_cc': 0.9842477934660804, 'mae': 136.27263414859772}
19
validation:  {'corrcoef': 0.9886235286019944, 'rmse': 0.13469513, 'all_season_cc': 0.9888142263851409, 'mae': 1.9132086858153343}
train:  {'corrcoef': 0.9834685100233032, 'rmse': 0.17584628, 'all_season_cc': 0.9834683620288732, 'mae': 151.6153218448162}
20
validation:  {'corrcoef': 0.9897588735138553, 'rmse': 0.1436989, 'all_season_cc': 0.9898264185843407, 'mae': 2.1647047325968742}
train:  {'corrcoef': 0.98418308075751, 'rmse': 0.18240055, 'all_season_cc': 0.9841817759728196, 'mae': 160.97191955149174}
21
validation:  {'corrcoef': 0.9897930857427529, 'rmse': 0.13430412, 'all_season_cc': 0.9897005321370056, 'mae': 1.968398004770279}
train:  {'corrcoef': 0.9842345445707795, 'rmse': 0.18128103, 'all_season_cc': 0.9842326671367662, 'mae': 160.8155990242958}
22
validation:  {'corrcoef': 0.9892850831466407, 'rmse': 0.12249319, 'all_season_cc': 0.9894959971344832, 'mae': 1.7530116960406303}
train:  {'corrcoef': 0.9840867594767501, 'rmse': 0.16932715, 'all_season_cc': 0.984090208878078, 'mae': 146.7702662497759}
23
validation:  {'corrcoef': 0.9898981275779374, 'rmse': 0.15692812, 'all_season_cc': 0.9900674299798403, 'mae': 2.333333134651184}
train:  {'corrcoef': 0.9841144409422852, 'rmse': 0.20075922, 'all_season_cc': 0.9841109577393065, 'mae': 175.52979362756014}
24
validation:  {'corrcoef': 0.9902351419378826, 'rmse': 0.17216615, 'all_season_cc': 0.9900168443609987, 'mae': 2.6479082331061363}
train:  {'corrcoef': 0.9840390229571064, 'rmse': 0.20192875, 'all_season_cc': 0.984038433990166, 'mae': 175.38705123215914}
25
validation:  {'corrcoef': 0.9894794479311745, 'rmse': 0.14544323, 'all_season_cc': 0.989513727555933, 'mae': 2.143845461308956}
train:  {'corrcoef': 0.9842549812951809, 'rmse': 0.18265738, 'all_season_cc': 0.9842447783531204, 'mae': 158.98927326500416}
26
validation:  {'corrcoef': 0.9899035997504865, 'rmse': 0.11230552, 'all_season_cc': 0.9900051028970381, 'mae': 1.660754207521677}
train:  {'corrcoef': 0.9841372561677657, 'rmse': 0.1530779, 'all_season_cc': 0.9841297439811919, 'mae': 132.940273322165}
27
validation:  {'corrcoef': 0.9900076352395449, 'rmse': 0.15482159, 'all_season_cc': 0.9899767540559354, 'mae': 2.329539231956005}
train:  {'corrcoef': 0.984430217162247, 'rmse': 0.18970287, 'all_season_cc': 0.9844268691535932, 'mae': 166.323903337121}
28
validation:  {'corrcoef': 0.9902522361779972, 'rmse': 0.16728538, 'all_season_cc': 0.9902622618887121, 'mae': 2.6775591298937798}
train:  {'corrcoef': 0.9839842125076165, 'rmse': 0.18787505, 'all_season_cc': 0.9839720661056034, 'mae': 168.4607917740941}
29
validation:  {'corrcoef': 0.9893725436643824, 'rmse': 0.15005653, 'all_season_cc': 0.9895813879980034, 'mae': 2.1038452982902527}
train:  {'corrcoef': 0.9841352552580718, 'rmse': 0.19837907, 'all_season_cc': 0.9841268071736137, 'mae': 176.37913271784782}
30
this is your model: nlim(
  (layers): ModuleList(
    (0): GraphConvolution (6 -> 250)
    (1): GraphConvolution (250 -> 1)
  )
  (MLP_layer): LIM_MLP(
    (FC_layers): ModuleList(
      (0): Linear(in_features=602, out_features=301, bias=True)
      (1): BatchNorm1d(301, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
      (2): ELU(alpha=1.0)
      (3): Linear(in_features=301, out_features=150, bias=True)
      (4): BatchNorm1d(150, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
      (5): ELU(alpha=1.0)
      (6): Linear(in_features=150, out_features=75, bias=True)
      (7): BatchNorm1d(75, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
      (8): ELU(alpha=1.0)
      (9): Linear(in_features=75, out_features=37, bias=True)
      (10): BatchNorm1d(37, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
      (11): ELU(alpha=1.0)
    )
    (out_layer): Linear(in_features=37, out_features=1, bias=True)
  )
  (LIM_learner): LIMG_PC()
)
Saving final model...
out/1lead/
Train set: 36132 Validation set 600 Test set 408
shape static feats (602, 1200)
outputdim: 1
[GraphConvolution (6 -> 250), GraphConvolution (250 -> 1)]
Using Adam optimizer: Lr= 0.005 Wd= 1e-06
getttt probable babbby
CRPS LOSS:  tensor(0.0961)
validation:  {'corrcoef': 0.9855685928855732, 'rmse': 0.16773061, 'all_season_cc': 0.9861298250832559, 'mae': 2.5412170812487602, 'crps': tensor(0.0961)}
train:  {'corrcoef': 0.9802350187244768, 'rmse': 0.19194776, 'all_season_cc': 0.9802257443468491, 'mae': 171.0862255692482}
best crps: tensor(0.0961)
CRPS LOSS:  tensor(0.0786)
validation:  {'corrcoef': 0.9891224856684345, 'rmse': 0.11644071, 'all_season_cc': 0.9893269456027198, 'mae': 1.7212976664304733, 'crps': tensor(0.0786)}
train:  {'corrcoef': 0.9833219873622003, 'rmse': 0.14917785, 'all_season_cc': 0.9833255402805575, 'mae': 127.51554776728153}
2
new best
best crps: tensor(0.0786)
CRPS LOSS:  tensor(0.0927)
validation:  {'corrcoef': 0.9880227012106683, 'rmse': 0.16351971, 'all_season_cc': 0.9885482369318442, 'mae': 2.3804354444146156, 'crps': tensor(0.0927)}
train:  {'corrcoef': 0.9818837140502059, 'rmse': 0.19683373, 'all_season_cc': 0.9818705254560568, 'mae': 170.40127358585596}
3
CRPS LOSS:  tensor(0.1013)
validation:  {'corrcoef': 0.9889277450440206, 'rmse': 0.18042123, 'all_season_cc': 0.9893546034397217, 'mae': 2.6761500015854836, 'crps': tensor(0.1013)}
train:  {'corrcoef': 0.983390679130404, 'rmse': 0.20954034, 'all_season_cc': 0.9833629926499121, 'mae': 184.46222069859505}
4
CRPS LOSS:  tensor(0.1026)
validation:  {'corrcoef': 0.988697287062453, 'rmse': 0.186853, 'all_season_cc': 0.9886102509011457, 'mae': 2.7514153197407722, 'crps': tensor(0.1026)}
train:  {'corrcoef': 0.98335213586718, 'rmse': 0.23262283, 'all_season_cc': 0.983337016228958, 'mae': 204.75011041760445}
5
CRPS LOSS:  tensor(0.0838)
validation:  {'corrcoef': 0.9893546487730127, 'rmse': 0.14213544, 'all_season_cc': 0.9896768407722237, 'mae': 2.2027712613344193, 'crps': tensor(0.0838)}
train:  {'corrcoef': 0.9841082982938012, 'rmse': 0.17109042, 'all_season_cc': 0.9841025056837034, 'mae': 148.42343696951866}
6
CRPS LOSS:  tensor(0.0873)
validation:  {'corrcoef': 0.9890227733919035, 'rmse': 0.15303388, 'all_season_cc': 0.9890679989698651, 'mae': 2.2784867882728577, 'crps': tensor(0.0873)}
train:  {'corrcoef': 0.9837088534672338, 'rmse': 0.19403674, 'all_season_cc': 0.9837014202482521, 'mae': 169.436624661088}
7
CRPS LOSS:  tensor(0.0836)
validation:  {'corrcoef': 0.9896283336017949, 'rmse': 0.14841396, 'all_season_cc': 0.9897843120915125, 'mae': 2.1539016738533974, 'crps': tensor(0.0836)}
train:  {'corrcoef': 0.9834201138579103, 'rmse': 0.19447352, 'all_season_cc': 0.9834255516859399, 'mae': 169.95110461860895}
8
CRPS LOSS:  tensor(0.0719)
validation:  {'corrcoef': 0.9891922631035183, 'rmse': 0.11332916, 'all_season_cc': 0.9894999255865732, 'mae': 1.6795117408037186, 'crps': tensor(0.0719)}
train:  {'corrcoef': 0.9840527404472685, 'rmse': 0.14886853, 'all_season_cc': 0.9840512733325335, 'mae': 127.62376207858324}
9
new best
best crps: tensor(0.0719)
CRPS LOSS:  tensor(0.0978)
validation:  {'corrcoef': 0.9892146862504811, 'rmse': 0.17692825, 'all_season_cc': 0.9893207265982223, 'mae': 2.653425559401512, 'crps': tensor(0.0978)}
train:  {'corrcoef': 0.9836668053923996, 'rmse': 0.21536216, 'all_season_cc': 0.9836491920931346, 'mae': 189.36551763117313}
10
CRPS LOSS:  tensor(0.0918)
validation:  {'corrcoef': 0.9879516950958401, 'rmse': 0.16372882, 'all_season_cc': 0.9877134417197122, 'mae': 2.423234708607197, 'crps': tensor(0.0918)}
train:  {'corrcoef': 0.9829665048018429, 'rmse': 0.19506364, 'all_season_cc': 0.9829655517421031, 'mae': 170.11608920246363}
11
CRPS LOSS:  tensor(0.0890)
validation:  {'corrcoef': 0.9894519073467323, 'rmse': 0.15311378, 'all_season_cc': 0.9896140707121358, 'mae': 2.4228423461318016, 'crps': tensor(0.0890)}
train:  {'corrcoef': 0.9842555872817268, 'rmse': 0.1751479, 'all_season_cc': 0.9842578108052068, 'mae': 154.67877765744925}
12
CRPS LOSS:  tensor(0.0953)
validation:  {'corrcoef': 0.9884127016066989, 'rmse': 0.17276761, 'all_season_cc': 0.9886155961055444, 'mae': 2.455484315752983, 'crps': tensor(0.0953)}
train:  {'corrcoef': 0.9831416293329674, 'rmse': 0.22428751, 'all_season_cc': 0.9831455871204017, 'mae': 196.41081330925226}
13
CRPS LOSS:  tensor(0.0748)
validation:  {'corrcoef': 0.988872367379828, 'rmse': 0.11971989, 'all_season_cc': 0.9891518975719316, 'mae': 1.7769952341914177, 'crps': tensor(0.0748)}
train:  {'corrcoef': 0.9838242133357493, 'rmse': 0.1481332, 'all_season_cc': 0.9838201899205231, 'mae': 127.03500977158546}
14
CRPS LOSS:  tensor(0.0855)
validation:  {'corrcoef': 0.9900263244517384, 'rmse': 0.15092005, 'all_season_cc': 0.9899622295931382, 'mae': 2.229574091732502, 'crps': tensor(0.0855)}
train:  {'corrcoef': 0.9841902397572465, 'rmse': 0.19144955, 'all_season_cc': 0.9841734526924801, 'mae': 167.30848398804665}
15
CRPS LOSS:  tensor(0.0755)
validation:  {'corrcoef': 0.988890331704932, 'rmse': 0.12095847, 'all_season_cc': 0.9891150640412065, 'mae': 1.759146548807621, 'crps': tensor(0.0755)}
train:  {'corrcoef': 0.983969474897681, 'rmse': 0.16220355, 'all_season_cc': 0.9839785984176729, 'mae': 141.16575501859188}
16
CRPS LOSS:  tensor(0.0758)
validation:  {'corrcoef': 0.9890119958608987, 'rmse': 0.12785773, 'all_season_cc': 0.9891823859221374, 'mae': 1.8228556290268898, 'crps': tensor(0.0758)}
train:  {'corrcoef': 0.9842707520656377, 'rmse': 0.17083561, 'all_season_cc': 0.9842700879513843, 'mae': 148.42621026188135}
17
CRPS LOSS:  tensor(0.0798)
validation:  {'corrcoef': 0.9891669240373925, 'rmse': 0.12944669, 'all_season_cc': 0.9890884964527816, 'mae': 2.022508293390274, 'crps': tensor(0.0798)}
train:  {'corrcoef': 0.9841259965878927, 'rmse': 0.15282188, 'all_season_cc': 0.984114270941448, 'mae': 132.67450596392155}
18
CRPS LOSS:  tensor(0.0762)
validation:  {'corrcoef': 0.9892699306056678, 'rmse': 0.124771446, 'all_season_cc': 0.989589395680516, 'mae': 1.8601795881986618, 'crps': tensor(0.0762)}
train:  {'corrcoef': 0.9844028397707802, 'rmse': 0.15744717, 'all_season_cc': 0.9843986014323738, 'mae': 135.98003267496824}
19
CRPS LOSS:  tensor(0.0792)
validation:  {'corrcoef': 0.9888826284749611, 'rmse': 0.12963189, 'all_season_cc': 0.9890366888569248, 'mae': 1.8613936603069305, 'crps': tensor(0.0792)}
train:  {'corrcoef': 0.9840121763424999, 'rmse': 0.17476942, 'all_season_cc': 0.9840134969352915, 'mae': 155.34613812714815}
20
CRPS LOSS:  tensor(0.1119)
validation:  {'corrcoef': 0.989160501361541, 'rmse': 0.20369025, 'all_season_cc': 0.9891748698689757, 'mae': 3.0040035471320152, 'crps': tensor(0.1119)}
train:  {'corrcoef': 0.9835805966910477, 'rmse': 0.23484525, 'all_season_cc': 0.9835792398257507, 'mae': 202.87512835860252}
21
CRPS LOSS:  tensor(0.0860)
validation:  {'corrcoef': 0.9894252116389587, 'rmse': 0.15097362, 'all_season_cc': 0.9894567768953402, 'mae': 2.3058544248342514, 'crps': tensor(0.0860)}
train:  {'corrcoef': 0.9842785941559061, 'rmse': 0.18390192, 'all_season_cc': 0.9842818650994104, 'mae': 161.1496945694089}
22
CRPS LOSS:  tensor(0.0823)
validation:  {'corrcoef': 0.989408034466569, 'rmse': 0.14261962, 'all_season_cc': 0.9894588487705382, 'mae': 2.101846754550934, 'crps': tensor(0.0823)}
train:  {'corrcoef': 0.984336015440736, 'rmse': 0.17861839, 'all_season_cc': 0.9843356419330623, 'mae': 155.37164347618818}
23
CRPS LOSS:  tensor(0.0925)
validation:  {'corrcoef': 0.98895330897123, 'rmse': 0.16219868, 'all_season_cc': 0.9893690219395378, 'mae': 2.523505926132202, 'crps': tensor(0.0925)}
train:  {'corrcoef': 0.9840676646673915, 'rmse': 0.18775192, 'all_season_cc': 0.9840615767491973, 'mae': 166.55679390579462}
24
CRPS LOSS:  tensor(0.0939)
validation:  {'corrcoef': 0.989522117030485, 'rmse': 0.16318004, 'all_season_cc': 0.9895031513054962, 'mae': 2.615292191505432, 'crps': tensor(0.0939)}
train:  {'corrcoef': 0.9844375964736904, 'rmse': 0.1835514, 'all_season_cc': 0.9844236103462961, 'mae': 162.4697505235672}
25
CRPS LOSS:  tensor(0.0778)
validation:  {'corrcoef': 0.9879842462643242, 'rmse': 0.12837026, 'all_season_cc': 0.9882652626150218, 'mae': 1.9449809938669205, 'crps': tensor(0.0778)}
train:  {'corrcoef': 0.983234532766362, 'rmse': 0.15666601, 'all_season_cc': 0.9832334437689835, 'mae': 133.51064056158066}
26
CRPS LOSS:  tensor(0.0834)
validation:  {'corrcoef': 0.9893376709065524, 'rmse': 0.14016993, 'all_season_cc': 0.9895359512723566, 'mae': 1.9896993711590767, 'crps': tensor(0.0834)}
train:  {'corrcoef': 0.9840527252371687, 'rmse': 0.19162105, 'all_season_cc': 0.9840492468787576, 'mae': 170.3240183889866}
27
CRPS LOSS:  tensor(0.0822)
validation:  {'corrcoef': 0.9891300966796552, 'rmse': 0.14256847, 'all_season_cc': 0.9894417148046445, 'mae': 2.0797978565096855, 'crps': tensor(0.0822)}
train:  {'corrcoef': 0.9842787657195227, 'rmse': 0.18757969, 'all_season_cc': 0.984273684675698, 'mae': 165.46937790885568}
28
CRPS LOSS:  tensor(0.0753)
validation:  {'corrcoef': 0.9888193362233106, 'rmse': 0.12274685, 'all_season_cc': 0.98893578463875, 'mae': 1.8352220617234707, 'crps': tensor(0.0753)}
train:  {'corrcoef': 0.9842523692119981, 'rmse': 0.15750359, 'all_season_cc': 0.9842533077985149, 'mae': 136.5458066612482}
29
CRPS LOSS:  tensor(0.0895)
validation:  {'corrcoef': 0.9888283023342567, 'rmse': 0.15701197, 'all_season_cc': 0.9891686238772799, 'mae': 2.2880848608911037, 'crps': tensor(0.0895)}
train:  {'corrcoef': 0.9839406591888117, 'rmse': 0.19371977, 'all_season_cc': 0.983943073889873, 'mae': 169.28588148206472}
30
this is your model: nlim(
  (layers): ModuleList(
    (0): GraphConvolution (6 -> 250)
    (1): GraphConvolution (250 -> 1)
  )
  (MLP_layer): LIM_MLP_GaussLL(
    (FC_layers): ModuleList(
      (0): Linear(in_features=602, out_features=301, bias=True)
      (1): BatchNorm1d(301, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
      (2): ELU(alpha=1.0)
      (3): Linear(in_features=301, out_features=150, bias=True)
      (4): BatchNorm1d(150, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
      (5): ELU(alpha=1.0)
      (6): Linear(in_features=150, out_features=75, bias=True)
      (7): BatchNorm1d(75, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
      (8): ELU(alpha=1.0)
      (9): Linear(in_features=75, out_features=37, bias=True)
      (10): BatchNorm1d(37, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
      (11): ELU(alpha=1.0)
    )
    (out_layer): Linear(in_features=37, out_features=1, bias=True)
    (var_layer): Linear(in_features=37, out_features=1, bias=True)
  )
  (LIM_learner): LIMG_PC()
)
Saving final model...
torch-version:  1.10.1
Namespace(data_dir='Data/', epochs=30, gpu_id=0, grid_edges='false', horizon=1, lr=None, numeof=None, optim='adam', out='out', seed=1, weight_decay=None)
device available : True
device count:  1
current device:  0
device name:  Tesla V100-SXM2-32GB
Tesla V100-SXM2-32GB
Memory Usage:
Allocated: 0.0 GB
Cached:    0.0 GB
using device:  cuda
out/1lead/
Train set: 36132 Validation set 600 Test set 408
shape static feats (602, 1200)
[GraphConvolution (6 -> 250), GraphConvolution (250 -> 1)]
Using Adam optimizer: Lr= 0.005 Wd= 1e-06
validation:  {'corrcoef': 0.9879483963229303, 'rmse': 0.1338464, 'all_season_cc': 0.988616453219555, 'mae': 2.0290874540805817}
train:  {'corrcoef': 0.9827274631532618, 'rmse': 0.15746483, 'all_season_cc': 0.982716515150754, 'mae': 136.94282849878073}
validation:  {'corrcoef': 0.9891735153321192, 'rmse': 0.17849065, 'all_season_cc': 0.9892025537863686, 'mae': 2.658184692263603}
train:  {'corrcoef': 0.9836683065232456, 'rmse': 0.23306659, 'all_season_cc': 0.983658203684744, 'mae': 208.02070029824972}
2
validation:  {'corrcoef': 0.989361776717122, 'rmse': 0.120338626, 'all_season_cc': 0.9893448093923641, 'mae': 1.7633590586483479}
train:  {'corrcoef': 0.9830547046558538, 'rmse': 0.1599966, 'all_season_cc': 0.9830490196118249, 'mae': 138.6355822607875}
3
new best
validation:  {'corrcoef': 0.9892773990181589, 'rmse': 0.12890744, 'all_season_cc': 0.9893861224126771, 'mae': 1.958705723285675}
train:  {'corrcoef': 0.9835824273567093, 'rmse': 0.16565235, 'all_season_cc': 0.9835881602175297, 'mae': 144.50479631498456}
4
validation:  {'corrcoef': 0.9884112880529071, 'rmse': 0.14986075, 'all_season_cc': 0.988509299675529, 'mae': 2.261777587234974}
train:  {'corrcoef': 0.9826634635829052, 'rmse': 0.1721807, 'all_season_cc': 0.9826713769095697, 'mae': 148.698595225811}
5
validation:  {'corrcoef': 0.9887015566015005, 'rmse': 0.14357144, 'all_season_cc': 0.9892280197656561, 'mae': 2.0658024176955223}
train:  {'corrcoef': 0.9840679492531311, 'rmse': 0.19643602, 'all_season_cc': 0.9840684657559017, 'mae': 173.33484780043364}
6
validation:  {'corrcoef': 0.9888300124910523, 'rmse': 0.1432869, 'all_season_cc': 0.9891837484639261, 'mae': 2.2016609758138657}
train:  {'corrcoef': 0.9836955811927469, 'rmse': 0.17270313, 'all_season_cc': 0.9836892338594084, 'mae': 149.44627352058887}
7
validation:  {'corrcoef': 0.9885914378169013, 'rmse': 0.16478704, 'all_season_cc': 0.988740590589548, 'mae': 2.405487857758999}
train:  {'corrcoef': 0.982825630839336, 'rmse': 0.20874052, 'all_season_cc': 0.9828225194561777, 'mae': 182.8161673694849}
8
validation:  {'corrcoef': 0.9892668290716559, 'rmse': 0.15061699, 'all_season_cc': 0.9893890312841881, 'mae': 2.2485751658678055}
train:  {'corrcoef': 0.9839759934063202, 'rmse': 0.1849403, 'all_season_cc': 0.9839671212568443, 'mae': 163.15699940919876}
9
validation:  {'corrcoef': 0.9888995544649242, 'rmse': 0.15153627, 'all_season_cc': 0.9892154443429296, 'mae': 2.215585120022297}
train:  {'corrcoef': 0.9838479211789537, 'rmse': 0.19905333, 'all_season_cc': 0.983845572323495, 'mae': 176.4681569710374}
10
validation:  {'corrcoef': 0.9892381067116333, 'rmse': 0.11560589, 'all_season_cc': 0.9892532714125318, 'mae': 1.6999074444174767}
train:  {'corrcoef': 0.9840403319212302, 'rmse': 0.15374498, 'all_season_cc': 0.9840199163089668, 'mae': 133.8107359111309}
11
new best
validation:  {'corrcoef': 0.9881771346480431, 'rmse': 0.18046731, 'all_season_cc': 0.9884000565512051, 'mae': 2.6652755588293076}
train:  {'corrcoef': 0.9827341558168569, 'rmse': 0.21496762, 'all_season_cc': 0.9827301723730173, 'mae': 190.53477772325277}
12
validation:  {'corrcoef': 0.9891992207303942, 'rmse': 0.17041475, 'all_season_cc': 0.9895428406928041, 'mae': 2.548403836786747}
train:  {'corrcoef': 0.9837354337974112, 'rmse': 0.21004033, 'all_season_cc': 0.9837323043030329, 'mae': 184.17348228394985}
13
validation:  {'corrcoef': 0.9897123652973085, 'rmse': 0.13711914, 'all_season_cc': 0.9898204443341442, 'mae': 2.0789459347724915}
train:  {'corrcoef': 0.9841155095264824, 'rmse': 0.16433617, 'all_season_cc': 0.9841006040503774, 'mae': 144.28212251514196}
14
validation:  {'corrcoef': 0.9897443261974382, 'rmse': 0.11413042, 'all_season_cc': 0.9896852595184197, 'mae': 1.6711825542151928}
train:  {'corrcoef': 0.9840864230749963, 'rmse': 0.15896553, 'all_season_cc': 0.9840771910604356, 'mae': 137.77975814044476}
15
new best
validation:  {'corrcoef': 0.9891171810298762, 'rmse': 0.13589485, 'all_season_cc': 0.989150377217824, 'mae': 2.1428555697202682}
train:  {'corrcoef': 0.9839915518974666, 'rmse': 0.16010821, 'all_season_cc': 0.9839887773053407, 'mae': 139.94508484005928}
16
validation:  {'corrcoef': 0.9900386170384219, 'rmse': 0.1545877, 'all_season_cc': 0.9899961910251687, 'mae': 2.220750778913498}
train:  {'corrcoef': 0.9843612375409093, 'rmse': 0.20487824, 'all_season_cc': 0.984347129680548, 'mae': 183.93064238876104}
17
validation:  {'corrcoef': 0.9895811038800769, 'rmse': 0.12946104, 'all_season_cc': 0.9898489700624427, 'mae': 1.8908345364034176}
train:  {'corrcoef': 0.9838038498452693, 'rmse': 0.17079942, 'all_season_cc': 0.9837990294506124, 'mae': 149.26888823509216}
18
validation:  {'corrcoef': 0.9894802493042135, 'rmse': 0.1171575, 'all_season_cc': 0.9895863266503282, 'mae': 1.7315109595656395}
train:  {'corrcoef': 0.9842362369584834, 'rmse': 0.1566094, 'all_season_cc': 0.9842477934660804, 'mae': 136.27263414859772}
19
validation:  {'corrcoef': 0.9886235286019944, 'rmse': 0.13469513, 'all_season_cc': 0.9888142263851409, 'mae': 1.9132086858153343}
train:  {'corrcoef': 0.9834685100233032, 'rmse': 0.17584628, 'all_season_cc': 0.9834683620288732, 'mae': 151.6153218448162}
20
validation:  {'corrcoef': 0.9897588735138553, 'rmse': 0.1436989, 'all_season_cc': 0.9898264185843407, 'mae': 2.1647047325968742}
train:  {'corrcoef': 0.98418308075751, 'rmse': 0.18240055, 'all_season_cc': 0.9841817759728196, 'mae': 160.97191955149174}
21
validation:  {'corrcoef': 0.9897930857427529, 'rmse': 0.13430412, 'all_season_cc': 0.9897005321370056, 'mae': 1.968398004770279}
train:  {'corrcoef': 0.9842345445707795, 'rmse': 0.18128103, 'all_season_cc': 0.9842326671367662, 'mae': 160.8155990242958}
22
validation:  {'corrcoef': 0.9892850831466407, 'rmse': 0.12249319, 'all_season_cc': 0.9894959971344832, 'mae': 1.7530116960406303}
train:  {'corrcoef': 0.9840867594767501, 'rmse': 0.16932715, 'all_season_cc': 0.984090208878078, 'mae': 146.7702662497759}
23
validation:  {'corrcoef': 0.9898981275779374, 'rmse': 0.15692812, 'all_season_cc': 0.9900674299798403, 'mae': 2.333333134651184}
train:  {'corrcoef': 0.9841144409422852, 'rmse': 0.20075922, 'all_season_cc': 0.9841109577393065, 'mae': 175.52979362756014}
24
validation:  {'corrcoef': 0.9902351419378826, 'rmse': 0.17216615, 'all_season_cc': 0.9900168443609987, 'mae': 2.6479082331061363}
train:  {'corrcoef': 0.9840390229571064, 'rmse': 0.20192875, 'all_season_cc': 0.984038433990166, 'mae': 175.38705123215914}
25
validation:  {'corrcoef': 0.9894794479311745, 'rmse': 0.14544323, 'all_season_cc': 0.989513727555933, 'mae': 2.143845461308956}
train:  {'corrcoef': 0.9842549812951809, 'rmse': 0.18265738, 'all_season_cc': 0.9842447783531204, 'mae': 158.98927326500416}
26
validation:  {'corrcoef': 0.9899035997504865, 'rmse': 0.11230552, 'all_season_cc': 0.9900051028970381, 'mae': 1.660754207521677}
train:  {'corrcoef': 0.9841372561677657, 'rmse': 0.1530779, 'all_season_cc': 0.9841297439811919, 'mae': 132.940273322165}
27
new best
validation:  {'corrcoef': 0.9900076352395449, 'rmse': 0.15482159, 'all_season_cc': 0.9899767540559354, 'mae': 2.329539231956005}
train:  {'corrcoef': 0.984430217162247, 'rmse': 0.18970287, 'all_season_cc': 0.9844268691535932, 'mae': 166.323903337121}
28
validation:  {'corrcoef': 0.9902522361779972, 'rmse': 0.16728538, 'all_season_cc': 0.9902622618887121, 'mae': 2.6775591298937798}
train:  {'corrcoef': 0.9839842125076165, 'rmse': 0.18787505, 'all_season_cc': 0.9839720661056034, 'mae': 168.4607917740941}
29
validation:  {'corrcoef': 0.9893725436643824, 'rmse': 0.15005653, 'all_season_cc': 0.9895813879980034, 'mae': 2.1038452982902527}
train:  {'corrcoef': 0.9841352552580718, 'rmse': 0.19837907, 'all_season_cc': 0.9841268071736137, 'mae': 176.37913271784782}
30
this is your model: nlim(
  (layers): ModuleList(
    (0): GraphConvolution (6 -> 250)
    (1): GraphConvolution (250 -> 1)
  )
  (MLP_layer): LIM_MLP(
    (FC_layers): ModuleList(
      (0): Linear(in_features=602, out_features=301, bias=True)
      (1): BatchNorm1d(301, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
      (2): ELU(alpha=1.0)
      (3): Linear(in_features=301, out_features=150, bias=True)
      (4): BatchNorm1d(150, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
      (5): ELU(alpha=1.0)
      (6): Linear(in_features=150, out_features=75, bias=True)
      (7): BatchNorm1d(75, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
      (8): ELU(alpha=1.0)
      (9): Linear(in_features=75, out_features=37, bias=True)
      (10): BatchNorm1d(37, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
      (11): ELU(alpha=1.0)
    )
    (out_layer): Linear(in_features=37, out_features=1, bias=True)
  )
  (LIM_learner): LIMG_PC()
)
Saving final model...
out/1lead/
Train set: 36132 Validation set 600 Test set 408
shape static feats (602, 1200)
outputdim: 1
[GraphConvolution (6 -> 250), GraphConvolution (250 -> 1)]
Using Adam optimizer: Lr= 0.005 Wd= 1e-06
getttt probable babbby
CRPS LOSS:  tensor(0.0961)
validation:  {'corrcoef': 0.9855685928855732, 'rmse': 0.16773061, 'all_season_cc': 0.9861298250832559, 'mae': 2.5412170812487602, 'crps': tensor(0.0961)}
train:  {'corrcoef': 0.9802350187244768, 'rmse': 0.19194776, 'all_season_cc': 0.9802257443468491, 'mae': 171.0862255692482}
best crps: tensor(0.0961)
CRPS LOSS:  tensor(0.0786)
validation:  {'corrcoef': 0.9891224856684345, 'rmse': 0.11644071, 'all_season_cc': 0.9893269456027198, 'mae': 1.7212976664304733, 'crps': tensor(0.0786)}
train:  {'corrcoef': 0.9833219873622003, 'rmse': 0.14917785, 'all_season_cc': 0.9833255402805575, 'mae': 127.51554776728153}
2
new best
best crps: tensor(0.0786)
CRPS LOSS:  tensor(0.0927)
validation:  {'corrcoef': 0.9880227012106683, 'rmse': 0.16351971, 'all_season_cc': 0.9885482369318442, 'mae': 2.3804354444146156, 'crps': tensor(0.0927)}
train:  {'corrcoef': 0.9818837140502059, 'rmse': 0.19683373, 'all_season_cc': 0.9818705254560568, 'mae': 170.40127358585596}
3
CRPS LOSS:  tensor(0.1013)
validation:  {'corrcoef': 0.9889277450440206, 'rmse': 0.18042123, 'all_season_cc': 0.9893546034397217, 'mae': 2.6761500015854836, 'crps': tensor(0.1013)}
train:  {'corrcoef': 0.983390679130404, 'rmse': 0.20954034, 'all_season_cc': 0.9833629926499121, 'mae': 184.46222069859505}
4
CRPS LOSS:  tensor(0.1026)
validation:  {'corrcoef': 0.988697287062453, 'rmse': 0.186853, 'all_season_cc': 0.9886102509011457, 'mae': 2.7514153197407722, 'crps': tensor(0.1026)}
train:  {'corrcoef': 0.98335213586718, 'rmse': 0.23262283, 'all_season_cc': 0.983337016228958, 'mae': 204.75011041760445}
5
CRPS LOSS:  tensor(0.0838)
validation:  {'corrcoef': 0.9893546487730127, 'rmse': 0.14213544, 'all_season_cc': 0.9896768407722237, 'mae': 2.2027712613344193, 'crps': tensor(0.0838)}
train:  {'corrcoef': 0.9841082982938012, 'rmse': 0.17109042, 'all_season_cc': 0.9841025056837034, 'mae': 148.42343696951866}
6
CRPS LOSS:  tensor(0.0873)
validation:  {'corrcoef': 0.9890227733919035, 'rmse': 0.15303388, 'all_season_cc': 0.9890679989698651, 'mae': 2.2784867882728577, 'crps': tensor(0.0873)}
train:  {'corrcoef': 0.9837088534672338, 'rmse': 0.19403674, 'all_season_cc': 0.9837014202482521, 'mae': 169.436624661088}
7
CRPS LOSS:  tensor(0.0836)
validation:  {'corrcoef': 0.9896283336017949, 'rmse': 0.14841396, 'all_season_cc': 0.9897843120915125, 'mae': 2.1539016738533974, 'crps': tensor(0.0836)}
train:  {'corrcoef': 0.9834201138579103, 'rmse': 0.19447352, 'all_season_cc': 0.9834255516859399, 'mae': 169.95110461860895}
8
CRPS LOSS:  tensor(0.0719)
validation:  {'corrcoef': 0.9891922631035183, 'rmse': 0.11332916, 'all_season_cc': 0.9894999255865732, 'mae': 1.6795117408037186, 'crps': tensor(0.0719)}
train:  {'corrcoef': 0.9840527404472685, 'rmse': 0.14886853, 'all_season_cc': 0.9840512733325335, 'mae': 127.62376207858324}
9
new best
best crps: tensor(0.0719)
CRPS LOSS:  tensor(0.0978)
validation:  {'corrcoef': 0.9892146862504811, 'rmse': 0.17692825, 'all_season_cc': 0.9893207265982223, 'mae': 2.653425559401512, 'crps': tensor(0.0978)}
train:  {'corrcoef': 0.9836668053923996, 'rmse': 0.21536216, 'all_season_cc': 0.9836491920931346, 'mae': 189.36551763117313}
10
CRPS LOSS:  tensor(0.0918)
validation:  {'corrcoef': 0.9879516950958401, 'rmse': 0.16372882, 'all_season_cc': 0.9877134417197122, 'mae': 2.423234708607197, 'crps': tensor(0.0918)}
train:  {'corrcoef': 0.9829665048018429, 'rmse': 0.19506364, 'all_season_cc': 0.9829655517421031, 'mae': 170.11608920246363}
11
CRPS LOSS:  tensor(0.0890)
validation:  {'corrcoef': 0.9894519073467323, 'rmse': 0.15311378, 'all_season_cc': 0.9896140707121358, 'mae': 2.4228423461318016, 'crps': tensor(0.0890)}
train:  {'corrcoef': 0.9842555872817268, 'rmse': 0.1751479, 'all_season_cc': 0.9842578108052068, 'mae': 154.67877765744925}
12
CRPS LOSS:  tensor(0.0953)
validation:  {'corrcoef': 0.9884127016066989, 'rmse': 0.17276761, 'all_season_cc': 0.9886155961055444, 'mae': 2.455484315752983, 'crps': tensor(0.0953)}
train:  {'corrcoef': 0.9831416293329674, 'rmse': 0.22428751, 'all_season_cc': 0.9831455871204017, 'mae': 196.41081330925226}
13
CRPS LOSS:  tensor(0.0748)
validation:  {'corrcoef': 0.988872367379828, 'rmse': 0.11971989, 'all_season_cc': 0.9891518975719316, 'mae': 1.7769952341914177, 'crps': tensor(0.0748)}
train:  {'corrcoef': 0.9838242133357493, 'rmse': 0.1481332, 'all_season_cc': 0.9838201899205231, 'mae': 127.03500977158546}
14
CRPS LOSS:  tensor(0.0855)
validation:  {'corrcoef': 0.9900263244517384, 'rmse': 0.15092005, 'all_season_cc': 0.9899622295931382, 'mae': 2.229574091732502, 'crps': tensor(0.0855)}
train:  {'corrcoef': 0.9841902397572465, 'rmse': 0.19144955, 'all_season_cc': 0.9841734526924801, 'mae': 167.30848398804665}
15
CRPS LOSS:  tensor(0.0755)
validation:  {'corrcoef': 0.988890331704932, 'rmse': 0.12095847, 'all_season_cc': 0.9891150640412065, 'mae': 1.759146548807621, 'crps': tensor(0.0755)}
train:  {'corrcoef': 0.983969474897681, 'rmse': 0.16220355, 'all_season_cc': 0.9839785984176729, 'mae': 141.16575501859188}
16
CRPS LOSS:  tensor(0.0758)
validation:  {'corrcoef': 0.9890119958608987, 'rmse': 0.12785773, 'all_season_cc': 0.9891823859221374, 'mae': 1.8228556290268898, 'crps': tensor(0.0758)}
train:  {'corrcoef': 0.9842707520656377, 'rmse': 0.17083561, 'all_season_cc': 0.9842700879513843, 'mae': 148.42621026188135}
17
CRPS LOSS:  tensor(0.0798)
validation:  {'corrcoef': 0.9891669240373925, 'rmse': 0.12944669, 'all_season_cc': 0.9890884964527816, 'mae': 2.022508293390274, 'crps': tensor(0.0798)}
train:  {'corrcoef': 0.9841259965878927, 'rmse': 0.15282188, 'all_season_cc': 0.984114270941448, 'mae': 132.67450596392155}
18
CRPS LOSS:  tensor(0.0762)
validation:  {'corrcoef': 0.9892699306056678, 'rmse': 0.124771446, 'all_season_cc': 0.989589395680516, 'mae': 1.8601795881986618, 'crps': tensor(0.0762)}
train:  {'corrcoef': 0.9844028397707802, 'rmse': 0.15744717, 'all_season_cc': 0.9843986014323738, 'mae': 135.98003267496824}
19
CRPS LOSS:  tensor(0.0792)
validation:  {'corrcoef': 0.9888826284749611, 'rmse': 0.12963189, 'all_season_cc': 0.9890366888569248, 'mae': 1.8613936603069305, 'crps': tensor(0.0792)}
train:  {'corrcoef': 0.9840121763424999, 'rmse': 0.17476942, 'all_season_cc': 0.9840134969352915, 'mae': 155.34613812714815}
20
CRPS LOSS:  tensor(0.1119)
validation:  {'corrcoef': 0.989160501361541, 'rmse': 0.20369025, 'all_season_cc': 0.9891748698689757, 'mae': 3.0040035471320152, 'crps': tensor(0.1119)}
train:  {'corrcoef': 0.9835805966910477, 'rmse': 0.23484525, 'all_season_cc': 0.9835792398257507, 'mae': 202.87512835860252}
21
CRPS LOSS:  tensor(0.0860)
validation:  {'corrcoef': 0.9894252116389587, 'rmse': 0.15097362, 'all_season_cc': 0.9894567768953402, 'mae': 2.3058544248342514, 'crps': tensor(0.0860)}
train:  {'corrcoef': 0.9842785941559061, 'rmse': 0.18390192, 'all_season_cc': 0.9842818650994104, 'mae': 161.1496945694089}
22
CRPS LOSS:  tensor(0.0823)
validation:  {'corrcoef': 0.989408034466569, 'rmse': 0.14261962, 'all_season_cc': 0.9894588487705382, 'mae': 2.101846754550934, 'crps': tensor(0.0823)}
train:  {'corrcoef': 0.984336015440736, 'rmse': 0.17861839, 'all_season_cc': 0.9843356419330623, 'mae': 155.37164347618818}
23
CRPS LOSS:  tensor(0.0925)
validation:  {'corrcoef': 0.98895330897123, 'rmse': 0.16219868, 'all_season_cc': 0.9893690219395378, 'mae': 2.523505926132202, 'crps': tensor(0.0925)}
train:  {'corrcoef': 0.9840676646673915, 'rmse': 0.18775192, 'all_season_cc': 0.9840615767491973, 'mae': 166.55679390579462}
24
CRPS LOSS:  tensor(0.0939)
validation:  {'corrcoef': 0.989522117030485, 'rmse': 0.16318004, 'all_season_cc': 0.9895031513054962, 'mae': 2.615292191505432, 'crps': tensor(0.0939)}
train:  {'corrcoef': 0.9844375964736904, 'rmse': 0.1835514, 'all_season_cc': 0.9844236103462961, 'mae': 162.4697505235672}
25
CRPS LOSS:  tensor(0.0778)
validation:  {'corrcoef': 0.9879842462643242, 'rmse': 0.12837026, 'all_season_cc': 0.9882652626150218, 'mae': 1.9449809938669205, 'crps': tensor(0.0778)}
train:  {'corrcoef': 0.983234532766362, 'rmse': 0.15666601, 'all_season_cc': 0.9832334437689835, 'mae': 133.51064056158066}
26
CRPS LOSS:  tensor(0.0834)
validation:  {'corrcoef': 0.9893376709065524, 'rmse': 0.14016993, 'all_season_cc': 0.9895359512723566, 'mae': 1.9896993711590767, 'crps': tensor(0.0834)}
train:  {'corrcoef': 0.9840527252371687, 'rmse': 0.19162105, 'all_season_cc': 0.9840492468787576, 'mae': 170.3240183889866}
27
CRPS LOSS:  tensor(0.0822)
validation:  {'corrcoef': 0.9891300966796552, 'rmse': 0.14256847, 'all_season_cc': 0.9894417148046445, 'mae': 2.0797978565096855, 'crps': tensor(0.0822)}
train:  {'corrcoef': 0.9842787657195227, 'rmse': 0.18757969, 'all_season_cc': 0.984273684675698, 'mae': 165.46937790885568}
28
CRPS LOSS:  tensor(0.0753)
validation:  {'corrcoef': 0.9888193362233106, 'rmse': 0.12274685, 'all_season_cc': 0.98893578463875, 'mae': 1.8352220617234707, 'crps': tensor(0.0753)}
train:  {'corrcoef': 0.9842523692119981, 'rmse': 0.15750359, 'all_season_cc': 0.9842533077985149, 'mae': 136.5458066612482}
29
CRPS LOSS:  tensor(0.0895)
validation:  {'corrcoef': 0.9888283023342567, 'rmse': 0.15701197, 'all_season_cc': 0.9891686238772799, 'mae': 2.2880848608911037, 'crps': tensor(0.0895)}
train:  {'corrcoef': 0.9839406591888117, 'rmse': 0.19371977, 'all_season_cc': 0.983943073889873, 'mae': 169.28588148206472}
30
this is your model: nlim(
  (layers): ModuleList(
    (0): GraphConvolution (6 -> 250)
    (1): GraphConvolution (250 -> 1)
  )
  (MLP_layer): LIM_MLP_GaussLL(
    (FC_layers): ModuleList(
      (0): Linear(in_features=602, out_features=301, bias=True)
      (1): BatchNorm1d(301, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
      (2): ELU(alpha=1.0)
      (3): Linear(in_features=301, out_features=150, bias=True)
      (4): BatchNorm1d(150, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
      (5): ELU(alpha=1.0)
      (6): Linear(in_features=150, out_features=75, bias=True)
      (7): BatchNorm1d(75, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
      (8): ELU(alpha=1.0)
      (9): Linear(in_features=75, out_features=37, bias=True)
      (10): BatchNorm1d(37, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
      (11): ELU(alpha=1.0)
    )
    (out_layer): Linear(in_features=37, out_features=1, bias=True)
    (var_layer): Linear(in_features=37, out_features=1, bias=True)
  )
  (LIM_learner): LIMG_PC()
)
Saving final model...
torch-version:  1.10.1
Namespace(data_dir='Data/', epochs=30, gpu_id=0, grid_edges='false', horizon=1, lr=None, numeof=None, optim='adam', out='out', seed=1, weight_decay=None)
device available : True
device count:  1
current device:  0
device name:  Tesla V100-SXM2-32GB
Tesla V100-SXM2-32GB
Memory Usage:
Allocated: 0.0 GB
Cached:    0.0 GB
using device:  cuda
out/1lead/
Train set: 36132 Validation set 600 Test set 408
shape static feats (602, 1200)
[GraphConvolution (6 -> 250), GraphConvolution (250 -> 1)]
Using Adam optimizer: Lr= 0.005 Wd= 1e-06