From 3e1907154bd7e0f9daeb47c0612f80cd78d22c2c Mon Sep 17 00:00:00 2001 From: Far0n Date: Thu, 22 Oct 2026 22:35:06 +0200 Subject: [PATCH] Add timeh2o-v1 wrapper and fev-bench submission --- benchmarks/fev_bench/models.yaml | 9 ++ benchmarks/fev_bench/results/timeh2o-v1.csv | 101 ++++++++++++++++++++ models/timeh2o-v1/model.py | 90 +++++++++++++++++ models/timeh2o-v1/requirements.txt | 1 + 4 files changed, 201 insertions(+) create mode 100644 benchmarks/fev_bench/results/timeh2o-v1.csv create mode 100644 models/timeh2o-v1/model.py create mode 100644 models/timeh2o-v1/requirements.txt diff --git a/benchmarks/fev_bench/models.yaml b/benchmarks/fev_bench/models.yaml index dc9ac07..805f7bf 100644 --- a/benchmarks/fev_bench/models.yaml +++ b/benchmarks/fev_bench/models.yaml @@ -75,6 +75,14 @@ tabpfn-ts-3: zero_shot: true commercial_use: false +timeh2o-v1: + organization: H2O.ai + url: https://huggingface.co/h2oai/timeh2o-v1 + model_type: pretrained + zero_shot: true + commercial_use: false + display_name: TimeH2O-v1 + timeh2o-v1-tiny: organization: H2O.ai url: https://huggingface.co/h2oai/timeh2o-v1-tiny @@ -82,6 +90,7 @@ timeh2o-v1-tiny: zero_shot: true commercial_use: false display_name: TimeH2O-v1-tiny + hidden: true timesfm-2_5: organization: Google diff --git a/benchmarks/fev_bench/results/timeh2o-v1.csv b/benchmarks/fev_bench/results/timeh2o-v1.csv new file mode 100644 index 0000000..cdef21d --- /dev/null +++ b/benchmarks/fev_bench/results/timeh2o-v1.csv @@ -0,0 +1,101 @@ +model_name,dataset_path,dataset_config,horizon,num_windows,initial_cutoff,window_step_size,min_context_length,max_context_length,seasonality,eval_metric,extra_metrics,quantile_levels,id_column,timestamp_column,target,generate_univariate_targets_from,known_dynamic_columns,past_dynamic_columns,static_columns,task_name,description_fingerprint,test_error,training_time_s,inference_time_s,num_forecasts,dataset_fingerprint,trained_on_this_dataset,fev_version,SQL,MASE,WAPE,WQL,model_class,model_kwargs +timeh2o-v1,autogluon/fev_datasets,proenfo_gfc12,168,10,-1680,168,1,,24,SQL,"['MASE', {'name': 'WAPE', 'epsilon': 1.0}, {'name': 'WQL', 'epsilon': 1.0}]","[0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9]",id,timestamp,target,,['airtemperature'],[],[],proenfo_gfc12,,0.49645882399587926,0.0,5.447205806001875,110,737b39de8adfacba,False,0.11.0.dev0,0.49645882399587926,0.6358348543139175,0.05220719841984357,0.04066696920926945,timeh2o-v1,{} +timeh2o-v1,autogluon/fev_datasets,proenfo_gfc14,168,20,-3360,168,1,,24,SQL,"['MASE', {'name': 'WAPE', 'epsilon': 1.0}, {'name': 'WQL', 'epsilon': 1.0}]","[0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9]",id,timestamp,target,,['airtemperature'],[],[],proenfo_gfc14,,0.26456931490747737,0.0,1.6409892930023489,20,a8654c786c3299ea,False,0.11.0.dev0,0.26456931490747737,0.3346039498412089,0.016450564313928086,0.012999361170614135,timeh2o-v1,{} +timeh2o-v1,autogluon/fev_datasets,proenfo_gfc17,168,20,-3360,168,1,,24,SQL,"['MASE', {'name': 'WAPE', 'epsilon': 1.0}, {'name': 'WQL', 'epsilon': 1.0}]","[0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9]",id,timestamp,target,,['airtemperature'],[],[],proenfo_gfc17,,0.3299886598449229,0.0,4.464002497992624,160,93af2733966f104a,False,0.11.0.dev0,0.3299886598449229,0.41594808088947266,0.026355019238285433,0.020962766755042377,timeh2o-v1,{} +timeh2o-v1,autogluon/fev_datasets,rohlik_sales_1D,14,1,2023-12-15T00:00:00,14,14,,7,SQL,"['MASE', {'name': 'WAPE', 'epsilon': 1.0}, {'name': 'WQL', 'epsilon': 1.0}]","[0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9]",id,timestamp,sales,,"['holiday', 'school_holidays', 'sell_price_main', 'shops_closed', 'total_orders', 'type_0_discount', 'type_1_discount', 'type_2_discount', 'type_3_discount', 'type_4_discount', 'type_5_discount', 'type_6_discount', 'winter_school_holidays']",['availability'],"['L1_category_name_en', 'L2_category_name_en', 'L3_category_name_en', 'L4_category_name_en', 'name', 'product_unique_id', 'warehouse']",rohlik_sales_1D,,0.817238969385322,0.0,777.906824886999,4116,6b4dfe3d7cf87170,False,0.11.0.dev0,0.817238969385322,1.0287611017994451,0.2471885372436819,0.19706835277646295,timeh2o-v1,{} +timeh2o-v1,autogluon/fev_datasets,rohlik_orders_1D,61,5,2023-05-01T00:00:00,61,1,,7,SQL,"['MASE', {'name': 'WAPE', 'epsilon': 1.0}, {'name': 'WQL', 'epsilon': 1.0}]","[0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9]",id,timestamp,orders,,"['holiday', 'school_holidays', 'shops_closed', 'winter_school_holidays']","['blackout', 'frankfurt_shutdown', 'mini_shutdown', 'mov_change', 'precipitation', 'shutdown', 'snow', 'user_activity_1', 'user_activity_2']",[],rohlik_orders_1D,,0.8701438937839482,0.0,2.4735110720030207,35,3d297b0366997bd9,False,0.11.0.dev0,0.8701438937839482,1.0939199772063777,0.05136189073547196,0.040759426587662156,timeh2o-v1,{} +timeh2o-v1,autogluon/fev_datasets,rohlik_sales_1W,8,1,2023-12-15T00:00:00,8,8,,1,SQL,"['MASE', {'name': 'WAPE', 'epsilon': 1.0}, {'name': 'WQL', 'epsilon': 1.0}]","[0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9]",id,timestamp,sales,,"['holiday', 'school_holidays', 'sell_price_main', 'shops_closed', 'total_orders', 'type_0_discount', 'type_1_discount', 'type_2_discount', 'type_3_discount', 'type_4_discount', 'type_5_discount', 'type_6_discount', 'winter_school_holidays']",['availability'],"['L1_category_name_en', 'L2_category_name_en', 'L3_category_name_en', 'L4_category_name_en', 'name', 'product_unique_id', 'warehouse']",rohlik_sales_1W,,1.0700560431252137,0.0,108.90016328300044,3942,6fcd76ce1b8d7c26,False,0.11.0.dev0,1.0700560431252137,1.3389784196939503,0.1855586944580988,0.1465404015411903,timeh2o-v1,{} +timeh2o-v1,autogluon/fev_datasets,rohlik_orders_1W,8,5,2023-05-01T00:00:00,8,1,,1,SQL,"['MASE', {'name': 'WAPE', 'epsilon': 1.0}, {'name': 'WQL', 'epsilon': 1.0}]","[0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9]",id,timestamp,orders,,"['holiday', 'school_holidays', 'shops_closed', 'winter_school_holidays']","['blackout', 'frankfurt_shutdown', 'mini_shutdown', 'mov_change', 'precipitation', 'shutdown', 'snow', 'user_activity_1', 'user_activity_2']",[],rohlik_orders_1W,,1.1156731243958509,0.0,1.1944066340038262,35,ec3062d69245eda4,False,0.11.0.dev0,1.1156731243958509,1.3601488085899134,0.0438840503866717,0.0357428719487332,timeh2o-v1,{} +timeh2o-v1,autogluon/fev_datasets,entsoe_15T,96,20,-1920,96,1,,96,SQL,"['MASE', {'name': 'WAPE', 'epsilon': 1.0}, {'name': 'WQL', 'epsilon': 1.0}]","[0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9]",id,timestamp,target,,"['radiation_diffuse_horizontal', 'radiation_direct_horizontal', 'temperature']",[],[],entsoe_15T,,0.42233838010506897,0.0,7.173679081988666,120,2a8de92b49681624,False,0.11.0.dev0,0.42233838010506897,0.5403621330249215,0.03617138407809339,0.028473208645355037,timeh2o-v1,{} +timeh2o-v1,autogluon/fev_datasets,entsoe_30T,96,20,-1920,96,1,,48,SQL,"['MASE', {'name': 'WAPE', 'epsilon': 1.0}, {'name': 'WQL', 'epsilon': 1.0}]","[0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9]",id,timestamp,target,,"['radiation_diffuse_horizontal', 'radiation_direct_horizontal', 'temperature']",[],[],entsoe_30T,,0.422512832002153,0.0,7.111322104999999,120,4805e722dc825ba7,False,0.11.0.dev0,0.422512832002153,0.5339554514147029,0.03864674415078413,0.030586317609169612,timeh2o-v1,{} +timeh2o-v1,autogluon/fev_datasets,entsoe_1H,168,20,-3360,168,1,,24,SQL,"['MASE', {'name': 'WAPE', 'epsilon': 1.0}, {'name': 'WQL', 'epsilon': 1.0}]","[0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9]",id,timestamp,target,,"['radiation_diffuse_horizontal', 'radiation_direct_horizontal', 'temperature']",[],[],entsoe_1H,,0.3197094482975443,0.0,6.901209390001895,120,03601f7d5ed5875a,False,0.11.0.dev0,0.3197094482975443,0.4024363167054922,0.023788189557094927,0.01891596662980506,timeh2o-v1,{} +timeh2o-v1,autogluon/fev_datasets,epf_be,24,20,-480,24,1,,24,SQL,"['MASE', {'name': 'WAPE', 'epsilon': 1.0}, {'name': 'WQL', 'epsilon': 1.0}]","[0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9]",id,timestamp,target,,"['Generation forecast', 'System load forecast']",[],[],epf_be,,0.4712437149168799,0.0,1.2903628510066483,20,147c5488326f5570,False,0.11.0.dev0,0.4712437149168799,0.6032061052597512,0.10721891067634856,0.08344792651566475,timeh2o-v1,{} +timeh2o-v1,autogluon/fev_datasets,epf_de,24,20,-480,24,1,,24,SQL,"['MASE', {'name': 'WAPE', 'epsilon': 1.0}, {'name': 'WQL', 'epsilon': 1.0}]","[0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9]",id,timestamp,target,,"['Ampirion Load Forecast', 'PV+Wind Forecast']",[],[],epf_de,,0.4654644997023928,0.0,1.5894253270016634,20,bb336e99fdc0818d,False,0.11.0.dev0,0.4654644997023928,0.5975736315996844,0.3335479661717275,0.2585932802335412,timeh2o-v1,{} +timeh2o-v1,autogluon/fev_datasets,epf_fr,24,20,-480,24,1,,24,SQL,"['MASE', {'name': 'WAPE', 'epsilon': 1.0}, {'name': 'WQL', 'epsilon': 1.0}]","[0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9]",id,timestamp,target,,"['Generation forecast', 'System load forecast']",[],[],epf_fr,,0.3456228273618477,0.0,1.4889487639957224,20,724e5ab10018cb97,False,0.11.0.dev0,0.3456228273618477,0.43717750565739316,0.06630304084868313,0.05236044785786035,timeh2o-v1,{} +timeh2o-v1,autogluon/fev_datasets,epf_np,24,20,-480,24,1,,24,SQL,"['MASE', {'name': 'WAPE', 'epsilon': 1.0}, {'name': 'WQL', 'epsilon': 1.0}]","[0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9]",id,timestamp,target,,"['Grid load forecast', 'Wind power forecast']",[],[],epf_np,,0.5853425430175851,0.0,1.4073653099985677,20,04cd10a989755eaa,False,0.11.0.dev0,0.5853425430175851,0.7555554519445097,0.03427685211684144,0.026634539492795744,timeh2o-v1,{} +timeh2o-v1,autogluon/fev_datasets,epf_pjm,24,20,-480,24,1,,24,SQL,"['MASE', {'name': 'WAPE', 'epsilon': 1.0}, {'name': 'WQL', 'epsilon': 1.0}]","[0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9]",id,timestamp,target,,"['System load forecast', 'Zonal COMED load foecast']",[],[],epf_pjm,,0.3596222677611228,0.0,1.2868201949968352,20,5a0a0275d67a3b03,False,0.11.0.dev0,0.3596222677611228,0.4412140022815888,0.07725052036106782,0.0630754892067659,timeh2o-v1,{} +timeh2o-v1,autogluon/fev_datasets,rossmann_1D,48,10,-480,48,1,,7,SQL,"['MASE', {'name': 'WAPE', 'epsilon': 1.0}, {'name': 'WQL', 'epsilon': 1.0}]","[0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9]",id,timestamp,Sales,,"['DayOfWeek', 'Open', 'Promo', 'SchoolHoliday', 'StateHoliday']",['Customers'],"['Assortment', 'CompetitionDistance', 'CompetitionOpenSinceMonth', 'CompetitionOpenSinceYear', 'Promo2', 'Promo2SinceWeek', 'Promo2SinceYear', 'PromoInterval', 'Store', 'StoreType']",rossmann_1D,,0.20941431657212922,0.0,511.0231135520007,11150,ec702aaeeec7babf,False,0.11.0.dev0,0.20941431657212922,0.26470020307949205,0.08815418244559044,0.06977981860844007,timeh2o-v1,{} +timeh2o-v1,autogluon/fev_datasets,rossmann_1W,13,8,-104,13,1,,1,SQL,"['MASE', {'name': 'WAPE', 'epsilon': 1.0}, {'name': 'WQL', 'epsilon': 1.0}]","[0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9]",id,timestamp,Sales,,"['Open', 'Promo', 'SchoolHoliday', 'StateHoliday']",['Customers'],"['Assortment', 'CompetitionDistance', 'CompetitionOpenSinceMonth', 'CompetitionOpenSinceYear', 'Promo2', 'Promo2SinceWeek', 'Promo2SinceYear', 'PromoInterval', 'Store', 'StoreType']",rossmann_1W,,0.2527052096543928,0.0,57.16414158399493,8920,ab7d427d9b55ff5d,False,0.11.0.dev0,0.2527052096543928,0.3049491156651705,0.07930829215561475,0.06576854854514377,timeh2o-v1,{} +timeh2o-v1,autogluon/fev_datasets,restaurant,28,8,-224,28,1,,7,SQL,"['MASE', {'name': 'WAPE', 'epsilon': 1.0}, {'name': 'WQL', 'epsilon': 1.0}]","[0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9]",id,timestamp,target,,[],[],"['air_area_name', 'air_genre_name', 'latitude', 'longitude']",restaurant,,0.6697792562881055,0.0,26.85375001399734,6502,a282189d9d634cb3,False,0.11.0.dev0,0.6697792562881055,0.8401140893697593,0.3536382776355377,0.2783550336558858,timeh2o-v1,{} +timeh2o-v1,autogluon/fev_datasets,hermes,52,1,-52,52,1,,1,SQL,"['MASE', {'name': 'WAPE', 'epsilon': 1.0}, {'name': 'WQL', 'epsilon': 1.0}]","[0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9]",id,timestamp,target,,['external'],[],"['category', 'country']",hermes,,0.6079336249095358,0.0,58.02836290600317,10000,29bed8510dcf57df,False,0.11.0.dev0,0.6079336249095358,0.7718616439934225,0.0028479814080954995,0.002239368260529078,timeh2o-v1,{} +timeh2o-v1,autogluon/fev_datasets,walmart,39,1,-39,39,1,,1,SQL,"['MASE', {'name': 'WAPE', 'epsilon': 1.0}, {'name': 'WQL', 'epsilon': 1.0}]","[0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9]",id,timestamp,target,,"['CPI', 'Fuel_Price', 'IsHoliday', 'MarkDown1', 'MarkDown2', 'MarkDown3', 'MarkDown4', 'MarkDown5', 'Temperature', 'Unemployment']",[],"['Dept', 'Size', 'Store', 'Type']",walmart,,0.7017558881435704,0.0,53.74956947499959,2936,e30fb2ba3a5b0869,False,0.11.0.dev0,0.7017558881435704,0.8818939696073246,0.10312395891073586,0.08198803846403352,timeh2o-v1,{} +timeh2o-v1,autogluon/fev_datasets,m5_1D,28,1,-28,28,1,,7,SQL,"['MASE', {'name': 'WAPE', 'epsilon': 1.0}, {'name': 'WQL', 'epsilon': 1.0}]","[0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9]",id,timestamp,target,,"['event_Cultural', 'event_National', 'event_Religious', 'event_Sporting', 'sell_price', 'snap_CA', 'snap_TX', 'snap_WI']",[],"['cat_id', 'dept_id', 'item_id', 'state_id', 'store_id']",m5_1D,,0.6991665697026576,0.0,6301.842294979,30490,01e67ce7258910bf,False,0.11.0.dev0,0.6991665697026576,0.8593774274760865,0.685797898045954,0.538044876471674,timeh2o-v1,{} +timeh2o-v1,autogluon/fev_datasets,m5_1W,13,1,-13,13,1,,1,SQL,"['MASE', {'name': 'WAPE', 'epsilon': 1.0}, {'name': 'WQL', 'epsilon': 1.0}]","[0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9]",id,timestamp,target,,"['event_Cultural', 'event_National', 'event_Religious', 'event_Sporting', 'sell_price', 'snap_CA', 'snap_TX', 'snap_WI']",[],"['cat_id', 'dept_id', 'item_id', 'state_id', 'store_id']",m5_1W,,0.8674637103598444,0.0,836.7772235380035,30490,e6b70e0728078152,False,0.11.0.dev0,0.8674637103598444,1.1038537977685814,0.4092967701847796,0.3210822174414791,timeh2o-v1,{} +timeh2o-v1,autogluon/fev_datasets,m5_1M,12,1,-12,12,6,,12,SQL,"['MASE', {'name': 'WAPE', 'epsilon': 1.0}, {'name': 'WQL', 'epsilon': 1.0}]","[0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9]",id,timestamp,target,,"['event_Cultural', 'event_National', 'event_Religious', 'event_Sporting', 'sell_price', 'snap_CA', 'snap_TX', 'snap_WI']",[],"['cat_id', 'dept_id', 'item_id', 'state_id', 'store_id']",m5_1M,,0.9585812006516612,0.0,283.17243529599364,29364,d71b31313ad94270,False,0.11.0.dev0,0.9585812006516612,1.1439913165008324,0.4167098699317923,0.3295079741110967,timeh2o-v1,{} +timeh2o-v1,autogluon/fev_datasets,hierarchical_sales_1D,28,10,-280,28,1,,7,SQL,"['MASE', {'name': 'WAPE', 'epsilon': 1.0}, {'name': 'WQL', 'epsilon': 1.0}]","[0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9]",id,timestamp,target,,[],[],[],hierarchical_sales_1D,,0.5421650436036313,0.0,23.160116258994094,1180,4a59228530613491,False,0.11.0.dev0,0.5421650436036313,0.6766058711866135,0.6836673488025201,0.5537246508900419,timeh2o-v1,{} +timeh2o-v1,autogluon/fev_datasets,hierarchical_sales_1W,13,10,-130,13,1,,1,SQL,"['MASE', {'name': 'WAPE', 'epsilon': 1.0}, {'name': 'WQL', 'epsilon': 1.0}]","[0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9]",id,timestamp,target,,[],[],[],hierarchical_sales_1W,,0.6144450650162325,0.0,3.296590122015914,1180,73329a1fabd3bdb9,False,0.11.0.dev0,0.6144450650162325,0.7498933478295353,0.42844321055294293,0.36309202860869627,timeh2o-v1,{} +timeh2o-v1,autogluon/fev_datasets,favorita_stores_1D,28,10,-280,28,1,,7,SQL,"['MASE', {'name': 'WAPE', 'epsilon': 1.0}, {'name': 'WQL', 'epsilon': 1.0}]","[0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9]",id,timestamp,sales,,"['holiday', 'onpromotion']",['oil_price'],"['city', 'cluster', 'family', 'state', 'store_nbr', 'type']",favorita_stores_1D,,0.8822998456228577,0.0,863.9418433659957,15790,c806547d881be230,False,0.11.0.dev0,0.8822998456228577,1.0979684530759577,0.1309726470497577,0.10548200713564362,timeh2o-v1,{} +timeh2o-v1,autogluon/fev_datasets,favorita_stores_1W,13,10,-130,13,1,,1,SQL,"['MASE', {'name': 'WAPE', 'epsilon': 1.0}, {'name': 'WQL', 'epsilon': 1.0}]","[0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9]",id,timestamp,sales,,['onpromotion'],['oil_price'],"['city', 'cluster', 'family', 'state', 'store_nbr', 'type']",favorita_stores_1W,,1.9779500464172535,0.0,67.41213800600963,15790,95c860004c20cf1a,False,0.11.0.dev0,1.9779500464172535,2.1728235308934503,0.11552153702301056,0.09429791966286713,timeh2o-v1,{} +timeh2o-v1,autogluon/fev_datasets,favorita_stores_1M,12,2,-24,12,1,,12,SQL,"['MASE', {'name': 'WAPE', 'epsilon': 1.0}, {'name': 'WQL', 'epsilon': 1.0}]","[0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9]",id,timestamp,sales,,['onpromotion'],['oil_price'],"['city', 'cluster', 'family', 'state', 'store_nbr', 'type']",favorita_stores_1M,,1.749140861450559,0.0,6.6890253979945555,3158,eb3816b6bbf91e88,False,0.11.0.dev0,1.749140861450559,2.0041744001478357,0.12752279837399394,0.10893787933882115,timeh2o-v1,{} +timeh2o-v1,autogluon/fev_datasets,favorita_transactions_1D,28,10,-280,28,1,,7,SQL,"['MASE', {'name': 'WAPE', 'epsilon': 1.0}, {'name': 'WQL', 'epsilon': 1.0}]","[0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9]",id,timestamp,transactions,,['holiday'],['oil_price'],"['city', 'cluster', 'state', 'store_nbr', 'type']",favorita_transactions_1D,,0.7257551905069868,0.0,18.16567818600015,510,ce1ac70e875bb9c3,False,0.11.0.dev0,0.7257551905069868,0.8818006647864683,0.05619661208877876,0.04559989397503925,timeh2o-v1,{} +timeh2o-v1,autogluon/fev_datasets,favorita_transactions_1W,13,10,-130,13,1,,1,SQL,"['MASE', {'name': 'WAPE', 'epsilon': 1.0}, {'name': 'WQL', 'epsilon': 1.0}]","[0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9]",id,timestamp,transactions,,[],['oil_price'],"['city', 'cluster', 'state', 'store_nbr', 'type']",favorita_transactions_1W,,1.1910100510139918,0.0,3.0199638579942985,510,8992fe0e99feb00c,False,0.11.0.dev0,1.1910100510139918,1.452834030519226,0.051932687616009374,0.04376070050934118,timeh2o-v1,{} +timeh2o-v1,autogluon/fev_datasets,favorita_transactions_1M,12,2,-24,12,1,,12,SQL,"['MASE', {'name': 'WAPE', 'epsilon': 1.0}, {'name': 'WQL', 'epsilon': 1.0}]","[0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9]",id,timestamp,transactions,,[],['oil_price'],"['city', 'cluster', 'state', 'store_nbr', 'type']",favorita_transactions_1M,,1.0364211713912819,0.0,0.3636054039961891,102,afb1610f801c687b,False,0.11.0.dev0,1.0364211713912819,1.2980542161381905,0.07221075228072267,0.06261183519599249,timeh2o-v1,{} +timeh2o-v1,autogluon/fev_datasets,solar_with_weather_15T,96,20,-1920,96,1,,96,SQL,"['MASE', {'name': 'WAPE', 'epsilon': 1.0}, {'name': 'WQL', 'epsilon': 1.0}]","[0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9]",id,timestamp,target,,"['day_length', 'humidity', 'pressure', 'rain_1h', 'snow_1h', 'temp', 'wind_speed']","['clouds_all', 'global_horizontal_irradiance']",[],solar_with_weather_15T,,0.6415010296536356,0.0,2.6118799909963855,20,6fa78e81ec01b95b,False,0.11.0.dev0,0.6415010296536356,0.8240474877539528,1.0633650498097265,0.831004940249931,timeh2o-v1,{} +timeh2o-v1,autogluon/fev_datasets,solar_with_weather_1H,24,20,-480,24,1,,24,SQL,"['MASE', {'name': 'WAPE', 'epsilon': 1.0}, {'name': 'WQL', 'epsilon': 1.0}]","[0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9]",id,timestamp,target,,"['day_length', 'humidity', 'pressure', 'rain_1h', 'snow_1h', 'temp', 'wind_speed']","['clouds_all', 'global_horizontal_irradiance']",[],solar_with_weather_1H,,0.7418804812180813,0.0,2.4598923930097953,20,b3ac47bdf8a4df91,False,0.11.0.dev0,0.7418804812180813,0.9786183495528314,1.0520319416492134,0.825774993154823,timeh2o-v1,{} +timeh2o-v1,autogluon/fev_datasets,solar_1D,28,10,-280,28,1,,1,SQL,"['MASE', {'name': 'WAPE', 'epsilon': 1.0}, {'name': 'WQL', 'epsilon': 1.0}]","[0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9]",id,timestamp,target,,[],[],[],solar_1D,,0.595993142090171,0.0,4.511063377998653,1370,d4a3e5a10149ad68,False,0.11.0.dev0,0.595993142090171,0.7666442175912399,0.24126973326118734,0.1865659476889014,timeh2o-v1,{} +timeh2o-v1,autogluon/fev_datasets,solar_1W,13,1,-13,13,1,,1,SQL,"['MASE', {'name': 'WAPE', 'epsilon': 1.0}, {'name': 'WQL', 'epsilon': 1.0}]","[0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9]",id,timestamp,target,,[],[],[],solar_1W,,0.9771712364201774,0.0,0.4540997950025485,137,1bfa647c086de590,False,0.11.0.dev0,0.9771712364201774,1.3131733105943717,0.22199011395099677,0.16479288907355824,timeh2o-v1,{} +timeh2o-v1,autogluon/fev_datasets,kdd_cup_2022_10T,288,10,-2880,288,1,,144,SQL,"['MASE', {'name': 'WAPE', 'epsilon': 1.0}, {'name': 'WQL', 'epsilon': 1.0}]","[0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9]",id,timestamp,Patv,,[],"['Etmp', 'Itmp', 'Ndir', 'Pab1', 'Pab2', 'Pab3', 'Prtv', 'Wdir', 'Wspd']",[],kdd_cup_2022_10T,,0.4087917217237149,0.0,19.53295170900674,1340,cc3b7682c03fce83,False,0.11.0.dev0,0.4087917217237149,0.5027623640188489,1.4919755359101605,1.2803856506675348,timeh2o-v1,{} +timeh2o-v1,autogluon/fev_datasets,kdd_cup_2022_30T,96,10,-960,96,1,,48,SQL,"['MASE', {'name': 'WAPE', 'epsilon': 1.0}, {'name': 'WQL', 'epsilon': 1.0}]","[0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9]",id,timestamp,Patv,,[],"['Etmp', 'Itmp', 'Ndir', 'Pab1', 'Pab2', 'Pab3', 'Prtv', 'Wdir', 'Wspd']",[],kdd_cup_2022_30T,,0.4227437357446087,0.0,12.326541776012164,1340,b6826e6683a85f2e,False,0.11.0.dev0,0.4227437357446087,0.5198930849008667,1.5878976364451343,1.3659647776760333,timeh2o-v1,{} +timeh2o-v1,autogluon/fev_datasets,kdd_cup_2022_1D,14,10,-140,14,1,,1,SQL,"['MASE', {'name': 'WAPE', 'epsilon': 1.0}, {'name': 'WQL', 'epsilon': 1.0}]","[0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9]",id,timestamp,Patv,,[],"['Etmp', 'Itmp', 'Ndir', 'Pab1', 'Pab2', 'Pab3', 'Prtv', 'Wdir', 'Wspd']",[],kdd_cup_2022_1D,,0.6975506228851189,0.0,3.288790027007053,1340,f1b1463142f8f3fe,False,0.11.0.dev0,0.6975506228851189,0.899807078463013,0.7210989004395799,0.5587528365805283,timeh2o-v1,{} +timeh2o-v1,autogluon/fev_datasets,uci_air_quality_1H,168,20,-3360,168,1,,24,SQL,"['MASE', {'name': 'WAPE', 'epsilon': 1.0}, {'name': 'WQL', 'epsilon': 1.0}]","[0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9]",id,timestamp,"['C6H6(GT)', 'CO(GT)', 'NO2(GT)', 'NOx(GT)']",,"['AH', 'RH', 'T']",[],[],uci_air_quality_1H,,0.7415166947295498,0.0,4.78270675100066,80,cbd53b097557c372,False,0.11.0.dev0,0.7415166947295498,0.951804646253574,0.31303013648462075,0.24384617598531083,timeh2o-v1,{} +timeh2o-v1,autogluon/fev_datasets,uci_air_quality_1D,28,11,-308,28,1,,7,SQL,"['MASE', {'name': 'WAPE', 'epsilon': 1.0}, {'name': 'WQL', 'epsilon': 1.0}]","[0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9]",id,timestamp,"['C6H6(GT)', 'CO(GT)', 'NO2(GT)', 'NOx(GT)']",,"['AH', 'RH', 'T']",[],[],uci_air_quality_1D,,1.027955740052183,0.0,2.4594216579935164,44,035d8d2275e5074a,False,0.11.0.dev0,1.027955740052183,1.2884539859537545,0.2678794298193843,0.21261840232146675,timeh2o-v1,{} +timeh2o-v1,autogluon/fev_datasets,LOOP_SEATTLE_5T,288,10,-2880,288,1,,288,SQL,"['MASE', {'name': 'WAPE', 'epsilon': 1.0}, {'name': 'WQL', 'epsilon': 1.0}]","[0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9]",id,timestamp,target,,[],[],[],LOOP_SEATTLE_5T,,0.5415129831830358,0.0,230.4603875559842,3230,9f38cdca5e97c3e9,False,0.11.0.dev0,0.5415129831830358,0.6787391091020346,0.07316490921314919,0.058355443419536704,timeh2o-v1,{} +timeh2o-v1,autogluon/fev_datasets,LOOP_SEATTLE_1D,28,10,-280,28,1,,7,SQL,"['MASE', {'name': 'WAPE', 'epsilon': 1.0}, {'name': 'WQL', 'epsilon': 1.0}]","[0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9]",id,timestamp,target,,[],[],[],LOOP_SEATTLE_1D,,0.7505200205799383,0.0,13.31687555098324,3230,bedf3745e2812fa7,False,0.11.0.dev0,0.7505200205799383,0.9216553864425994,0.034855572348829175,0.028303176662466744,timeh2o-v1,{} +timeh2o-v1,autogluon/fev_datasets,LOOP_SEATTLE_1H,168,10,-1680,168,1,,24,SQL,"['MASE', {'name': 'WAPE', 'epsilon': 1.0}, {'name': 'WQL', 'epsilon': 1.0}]","[0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9]",id,timestamp,target,,[],[],[],LOOP_SEATTLE_1H,,0.5529096995749967,0.0,138.47270590498374,3230,00e1385a4c36e96d,False,0.11.0.dev0,0.5529096995749967,0.6953519865418087,0.05929327986025046,0.047021684943723926,timeh2o-v1,{} +timeh2o-v1,autogluon/fev_datasets,M_DENSE_1D,28,10,-280,28,1,,7,SQL,"['MASE', {'name': 'WAPE', 'epsilon': 1.0}, {'name': 'WQL', 'epsilon': 1.0}]","[0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9]",id,timestamp,target,,[],[],[],M_DENSE_1D,,0.6250685357902876,0.0,3.8756000670036883,300,2b6ea660947643ed,False,0.11.0.dev0,0.6250685357902876,0.7464518135973052,0.0784171351086819,0.0668734653687443,timeh2o-v1,{} +timeh2o-v1,autogluon/fev_datasets,M_DENSE_1H,168,10,-1680,168,1,,24,SQL,"['MASE', {'name': 'WAPE', 'epsilon': 1.0}, {'name': 'WQL', 'epsilon': 1.0}]","[0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9]",id,timestamp,target,,[],[],[],M_DENSE_1H,,0.47717931515647144,0.0,10.549515994993271,300,f91e15ab7b4466ca,False,0.11.0.dev0,0.47717931515647144,0.5795858995418246,0.1152501192307545,0.09456486782609633,timeh2o-v1,{} +timeh2o-v1,autogluon/fev_datasets,SZ_TAXI_15T,96,10,-960,96,1,,96,SQL,"['MASE', {'name': 'WAPE', 'epsilon': 1.0}, {'name': 'WQL', 'epsilon': 1.0}]","[0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9]",id,timestamp,target,,[],[],[],SZ_TAXI_15T,,0.39036920988701695,0.0,45.51310262799234,1560,6ac3e8a0f00c49a0,False,0.11.0.dev0,0.39036920988701695,0.49687856517845574,0.2378480948774655,0.18658517970394892,timeh2o-v1,{} +timeh2o-v1,autogluon/fev_datasets,SZ_TAXI_1H,168,2,-336,168,1,,24,SQL,"['MASE', {'name': 'WAPE', 'epsilon': 1.0}, {'name': 'WQL', 'epsilon': 1.0}]","[0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9]",id,timestamp,target,,[],[],[],SZ_TAXI_1H,,0.39855238226300904,0.0,4.114034130994696,312,7cf617258d747088,False,0.11.0.dev0,0.39855238226300904,0.491734400160577,0.16662386292791692,0.1358805538956532,timeh2o-v1,{} +timeh2o-v1,autogluon/fev_datasets,redset_5T,288,10,-2880,288,1,,288,SQL,"['MASE', {'name': 'WAPE', 'epsilon': 1.0}, {'name': 'WQL', 'epsilon': 1.0}]","[0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9]",id,timestamp,target,,[],[],['subset'],redset_5T,,0.5929483366114214,0.0,49.96782150999934,1180,4095dcceb0037981,False,0.11.0.dev0,0.5929483366114214,0.7108766645033324,0.2871696216703018,0.23898706968690608,timeh2o-v1,{} +timeh2o-v1,autogluon/fev_datasets,redset_15T,96,10,-960,96,1,,96,SQL,"['MASE', {'name': 'WAPE', 'epsilon': 1.0}, {'name': 'WQL', 'epsilon': 1.0}]","[0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9]",id,timestamp,target,,[],[],['subset'],redset_15T,,0.5848335328250548,0.0,62.60352491000231,1260,f9584eae5e90e943,False,0.11.0.dev0,0.5848335328250548,0.6899776253945628,0.2398581904068558,0.19874993496341592,timeh2o-v1,{} +timeh2o-v1,autogluon/fev_datasets,redset_1H,24,10,-240,24,1,,24,SQL,"['MASE', {'name': 'WAPE', 'epsilon': 1.0}, {'name': 'WQL', 'epsilon': 1.0}]","[0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9]",id,timestamp,target,,[],[],['subset'],redset_1H,,1.2213448013805333,0.0,61.96602269799041,1380,42f9dbfae9dddcaa,False,0.11.0.dev0,1.2213448013805333,1.3184889474455463,0.19912064684178982,0.1662160353104522,timeh2o-v1,{} +timeh2o-v1,autogluon/fev_datasets,hospital_admissions_1D,28,20,-560,28,1,,7,SQL,"['MASE', {'name': 'WAPE', 'epsilon': 1.0}, {'name': 'WQL', 'epsilon': 1.0}]","[0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9]",id,timestamp,target,,[],[],[],hospital_admissions_1D,,0.554880116969749,0.0,7.743001416994957,160,ed43f7914798e45b,False,0.11.0.dev0,0.554880116969749,0.7183794204354093,0.5328895918202072,0.41157456017431066,timeh2o-v1,{} +timeh2o-v1,autogluon/fev_datasets,hospital_admissions_1W,13,16,-208,13,1,,1,SQL,"['MASE', {'name': 'WAPE', 'epsilon': 1.0}, {'name': 'WQL', 'epsilon': 1.0}]","[0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9]",id,timestamp,target,,[],[],[],hospital_admissions_1W,,0.5827007554401855,0.0,3.657326701009879,128,2e326d444bc2eaa3,False,0.11.0.dev0,0.5827007554401855,0.7589970273854498,0.21373588633283896,0.16417018560636293,timeh2o-v1,{} +timeh2o-v1,autogluon/fev_datasets,ETT_1W,13,5,-65,13,1,,1,SQL,"['MASE', {'name': 'WAPE', 'epsilon': 1.0}, {'name': 'WQL', 'epsilon': 1.0}]","[0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9]",id,timestamp,"['HUFL', 'HULL', 'LUFL', 'LULL', 'MUFL', 'MULL', 'OT']",,[],[],[],ETT_1W,,2.230692938479547,0.0,1.0772460289881565,70,dd2a90a063926b5a,False,0.11.0.dev0,2.230692938479547,2.583243695836182,0.49439283405672424,0.39475041114713255,timeh2o-v1,{} +timeh2o-v1,autogluon/fev_datasets,ETT_1D,28,20,-560,28,1,,7,SQL,"['MASE', {'name': 'WAPE', 'epsilon': 1.0}, {'name': 'WQL', 'epsilon': 1.0}]","[0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9]",id,timestamp,"['HUFL', 'HULL', 'LUFL', 'LULL', 'MUFL', 'MULL', 'OT']",,[],[],[],ETT_1D,,1.1163933410051858,0.0,4.86025078799139,280,124716d2372657ef,False,0.11.0.dev0,1.1163933410051858,1.3474097585414362,0.3385928080261727,0.26846842196554077,timeh2o-v1,{} +timeh2o-v1,autogluon/fev_datasets,ETT_1H,168,20,-3360,168,1,,24,SQL,"['MASE', {'name': 'WAPE', 'epsilon': 1.0}, {'name': 'WQL', 'epsilon': 1.0}]","[0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9]",id,timestamp,"['HUFL', 'HULL', 'LUFL', 'LULL', 'MUFL', 'MULL', 'OT']",,[],[],[],ETT_1H,,0.8176462090643497,0.0,9.19159519799723,280,5ac7faba2c6646d6,False,0.11.0.dev0,0.8176462090643497,1.0536049058541468,0.23094159818971643,0.1792058686565565,timeh2o-v1,{} +timeh2o-v1,autogluon/fev_datasets,ETT_15T,96,20,-1920,96,1,,96,SQL,"['MASE', {'name': 'WAPE', 'epsilon': 1.0}, {'name': 'WQL', 'epsilon': 1.0}]","[0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9]",id,timestamp,"['HUFL', 'HULL', 'LUFL', 'LULL', 'MUFL', 'MULL', 'OT']",,[],[],[],ETT_15T,,0.5336069431846698,0.0,10.263061547018879,280,28c946c25823d332,False,0.11.0.dev0,0.5336069431846698,0.6848376236571414,0.10996888149882889,0.0856045083150482,timeh2o-v1,{} +timeh2o-v1,autogluon/fev_datasets,hospital,12,4,-48,12,1,,12,SQL,"['MASE', {'name': 'WAPE', 'epsilon': 1.0}, {'name': 'WQL', 'epsilon': 1.0}]","[0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9]",id,timestamp,target,,[],[],[],hospital,,0.6803561792659096,0.0,4.9670824779968825,3068,fd264ba039b32e10,False,0.11.0.dev0,0.6803561792659096,0.8660978244580526,0.09329534020640794,0.07367783406375655,timeh2o-v1,{} +timeh2o-v1,autogluon/fev_datasets,jena_weather_10T,144,20,-2880,144,1,,144,SQL,"['MASE', {'name': 'WAPE', 'epsilon': 1.0}, {'name': 'WQL', 'epsilon': 1.0}]","[0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9]",id,timestamp,"['target_0', 'target_1', 'target_10', 'target_11', 'target_12', 'target_13', 'target_14', 'target_15', 'target_16', 'target_17', 'target_18', 'target_19', 'target_2', 'target_20', 'target_3', 'target_4', 'target_5', 'target_6', 'target_7', 'target_8', 'target_9']",,[],[],[],jena_weather_10T,,0.34122653196580544,0.0,14.76355732299271,420,4445cfb4b46a9794,False,0.11.0.dev0,0.34122653196580544,0.4192545269916498,0.23876897593731053,0.2257524756347533,timeh2o-v1,{} +timeh2o-v1,autogluon/fev_datasets,jena_weather_1D,28,11,-308,28,1,,1,SQL,"['MASE', {'name': 'WAPE', 'epsilon': 1.0}, {'name': 'WQL', 'epsilon': 1.0}]","[0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9]",id,timestamp,"['target_0', 'target_1', 'target_10', 'target_11', 'target_12', 'target_13', 'target_14', 'target_15', 'target_16', 'target_17', 'target_18', 'target_19', 'target_2', 'target_20', 'target_3', 'target_4', 'target_5', 'target_6', 'target_7', 'target_8', 'target_9']",,[],[],[],jena_weather_1D,,1.0606885739500667,0.0,2.3799663160025375,231,7c4e96d5a01f7ce1,False,0.11.0.dev0,1.0606885739500667,1.3430849397906588,0.2671326796675135,0.21664390878528908,timeh2o-v1,{} +timeh2o-v1,autogluon/fev_datasets,jena_weather_1H,24,20,-480,24,1,,24,SQL,"['MASE', {'name': 'WAPE', 'epsilon': 1.0}, {'name': 'WQL', 'epsilon': 1.0}]","[0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9]",id,timestamp,"['target_0', 'target_1', 'target_10', 'target_11', 'target_12', 'target_13', 'target_14', 'target_15', 'target_16', 'target_17', 'target_18', 'target_19', 'target_2', 'target_20', 'target_3', 'target_4', 'target_5', 'target_6', 'target_7', 'target_8', 'target_9']",,[],[],[],jena_weather_1H,,0.3441525776218555,0.0,5.277935954021814,420,87fbae1ab933255d,False,0.11.0.dev0,0.3441525776218555,0.42630689153501383,0.23816731436362087,0.20748742808531828,timeh2o-v1,{} +timeh2o-v1,autogluon/fev_datasets,bizitobs_l2c_1H,24,20,-480,24,1,,24,SQL,"['MASE', {'name': 'WAPE', 'epsilon': 1.0}, {'name': 'WQL', 'epsilon': 1.0}]","[0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9]",id,timestamp,"['target_0', 'target_1', 'target_2', 'target_3', 'target_4', 'target_5', 'target_6']",,[],[],[],bizitobs_l2c_1H,,0.288047231691802,0.0,5.319822290010052,140,b327008ad8acb8aa,False,0.11.0.dev0,0.288047231691802,0.3667367352701534,0.2765541997562886,0.22146341285573876,timeh2o-v1,{} +timeh2o-v1,autogluon/fev_datasets,bizitobs_l2c_5T,288,20,-5760,288,1,,288,SQL,"['MASE', {'name': 'WAPE', 'epsilon': 1.0}, {'name': 'WQL', 'epsilon': 1.0}]","[0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9]",id,timestamp,"['target_0', 'target_1', 'target_2', 'target_3', 'target_4', 'target_5', 'target_6']",,[],[],[],bizitobs_l2c_5T,,0.3110978469474346,0.0,5.500244605987973,140,2b5de55ae5348b04,False,0.11.0.dev0,0.3110978469474346,0.3929120611729489,0.3187348350478796,0.25686856901880345,timeh2o-v1,{} +timeh2o-v1,autogluon/fev_datasets,australian_tourism,8,2,-16,8,1,,4,SQL,"['MASE', {'name': 'WAPE', 'epsilon': 1.0}, {'name': 'WQL', 'epsilon': 1.0}]","[0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9]",id,timestamp,target,,[],[],[],australian_tourism,,0.7246333553026221,0.0,0.3262213739944855,178,4e98348a0e37c39f,False,0.11.0.dev0,0.7246333553026221,0.9161837462365796,0.09737311885301415,0.07744235499712701,timeh2o-v1,{} +timeh2o-v1,autogluon/fev_datasets,world_tourism,5,2,-10,5,1,,1,SQL,"['MASE', {'name': 'WAPE', 'epsilon': 1.0}, {'name': 'WQL', 'epsilon': 1.0}]","[0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9]",id,timestamp,target,,[],[],[],world_tourism,,2.8911147889297,0.0,0.48599676600133535,356,c5752da0df9e7135,False,0.11.0.dev0,2.8911147889297,3.5481843808507563,0.0983912669593665,0.07393107429023164,timeh2o-v1,{} +timeh2o-v1,autogluon/fev_datasets,world_co2_emissions,5,9,-45,5,1,,1,SQL,"['MASE', {'name': 'WAPE', 'epsilon': 1.0}, {'name': 'WQL', 'epsilon': 1.0}]","[0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9]",id,timestamp,target,,[],[],[],world_co2_emissions,,2.6351904272012927,0.0,2.8185323790021357,1719,6b0c7a2a68a84dd3,False,0.11.0.dev0,2.6351904272012927,3.224673089259256,0.08192266252986506,0.06747913747650501,timeh2o-v1,{} +timeh2o-v1,autogluon/fev_datasets,world_life_expectancy,5,10,-50,5,1,,1,SQL,"['MASE', {'name': 'WAPE', 'epsilon': 1.0}, {'name': 'WQL', 'epsilon': 1.0}]","[0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9]",id,timestamp,target,,[],[],[],world_life_expectancy,,1.024312171377822,0.0,3.9390178909961833,2370,f80e74c2d0a3b26d,False,0.11.0.dev0,1.024312171377822,1.2292771535907037,0.009635846612929792,0.0080794672431015,timeh2o-v1,{} +timeh2o-v1,autogluon/fev_datasets,ercot_1H,168,20,-3360,168,1,,24,SQL,"['MASE', {'name': 'WAPE', 'epsilon': 1.0}, {'name': 'WQL', 'epsilon': 1.0}]","[0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9]",id,timestamp,target,,[],[],[],ercot_1H,,0.9739688361028731,0.0,6.051722073993005,160,633a70c1f75e9648,False,0.11.0.dev0,0.9739688361028731,1.265420617008081,0.06377071199097305,0.04899601414178851,timeh2o-v1,{} +timeh2o-v1,autogluon/fev_datasets,ercot_1D,28,20,-560,28,1,,7,SQL,"['MASE', {'name': 'WAPE', 'epsilon': 1.0}, {'name': 'WQL', 'epsilon': 1.0}]","[0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9]",id,timestamp,target,,[],[],[],ercot_1D,,0.8169563170590163,0.0,5.661387005995493,160,b143bd8e5e538ef9,False,0.11.0.dev0,0.8169563170590163,1.0732840518955822,0.07465515671927091,0.05737180543665803,timeh2o-v1,{} +timeh2o-v1,autogluon/fev_datasets,ercot_1W,13,20,-260,13,1,,1,SQL,"['MASE', {'name': 'WAPE', 'epsilon': 1.0}, {'name': 'WQL', 'epsilon': 1.0}]","[0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9]",id,timestamp,target,,[],[],[],ercot_1W,,0.9207649641316697,0.0,4.826871621000464,160,0e1b21b3f14de99f,False,0.11.0.dev0,0.9207649641316697,1.1758889216546204,0.056652992581660365,0.04398866499820897,timeh2o-v1,{} +timeh2o-v1,autogluon/fev_datasets,ercot_1M,12,15,-180,12,1,,12,SQL,"['MASE', {'name': 'WAPE', 'epsilon': 1.0}, {'name': 'WQL', 'epsilon': 1.0}]","[0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9]",id,timestamp,target,,[],[],[],ercot_1M,,0.7385317788042699,0.0,2.615893609014165,120,0adcc60b2ab774cd,False,0.11.0.dev0,0.7385317788042699,0.9459130403580472,0.04732628049923553,0.03685245059850188,timeh2o-v1,{} +timeh2o-v1,autogluon/fev_datasets,uk_covid_utla_1D,28,10,-280,28,1,,7,SQL,"['MASE', {'name': 'WAPE', 'epsilon': 1.0}, {'name': 'WQL', 'epsilon': 1.0}]","[0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9]",id,timestamp,new_cases,,[],[],[],uk_covid_utla_1D/new,,3.842272397937215,0.0,22.4021285570052,2140,402efa68b07df1eb,False,0.11.0.dev0,3.842272397937215,4.623088958482138,0.4778114872695215,0.39193031788654203,timeh2o-v1,{} +timeh2o-v1,autogluon/fev_datasets,uk_covid_utla_1W,13,5,-65,13,1,,1,SQL,"['MASE', {'name': 'WAPE', 'epsilon': 1.0}, {'name': 'WQL', 'epsilon': 1.0}]","[0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9]",id,timestamp,cumulative_cases,,[],[],[],uk_covid_utla_1W/cumulative,,16.441570035386036,0.0,1.8876037529989844,1070,4c66f11f586cecdb,False,0.11.0.dev0,16.441570035386036,18.56785493184621,0.18110061520088688,0.16058027629359065,timeh2o-v1,{} +timeh2o-v1,autogluon/fev_datasets,uk_covid_nation_1D,28,20,-560,28,1,,7,SQL,"['MASE', {'name': 'WAPE', 'epsilon': 1.0}, {'name': 'WQL', 'epsilon': 1.0}]","[0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9]",id,timestamp,"['new_admissions', 'new_cases', 'new_deaths']",,[],"['hospital_cases', 'icu_ventilator_occupancy', 'new_vaccinated_1', 'new_vaccinated_2', 'new_vaccinated_3']",[],uk_covid_nation_1D/new,,1.9948025397128497,0.0,5.818232430006901,240,6192907c9c7f1bb2,False,0.11.0.dev0,1.9948025397128497,2.3755027851557937,0.35412704797004224,0.28742402662649524,timeh2o-v1,{} +timeh2o-v1,autogluon/fev_datasets,uk_covid_nation_1D,28,20,-560,28,1,,1,SQL,"['MASE', {'name': 'WAPE', 'epsilon': 1.0}, {'name': 'WQL', 'epsilon': 1.0}]","[0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9]",id,timestamp,"['cumulative_admissions', 'cumulative_cases', 'cumulative_deaths']",,[],"['cumulative_vaccinated_1', 'cumulative_vaccinated_2', 'cumulative_vaccinated_3', 'hospital_cases', 'icu_ventilator_occupancy']",[],uk_covid_nation_1D/cumulative,,6.2053778161376725,0.0,4.9467729330208385,240,6192907c9c7f1bb2,False,0.11.0.dev0,6.2053778161376725,7.4066947947697015,0.015107927869506455,0.012832969114387865,timeh2o-v1,{} +timeh2o-v1,autogluon/fev_datasets,uk_covid_nation_1W,8,4,-32,8,1,,1,SQL,"['MASE', {'name': 'WAPE', 'epsilon': 1.0}, {'name': 'WQL', 'epsilon': 1.0}]","[0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9]",id,timestamp,"['new_admissions', 'new_cases', 'new_deaths']",,[],"['hospital_cases', 'icu_ventilator_occupancy', 'new_vaccinated_1', 'new_vaccinated_2', 'new_vaccinated_3']",[],uk_covid_nation_1W/new,,4.768096210730106,0.0,0.8804816260089865,48,af2fc6dc5102a03b,False,0.11.0.dev0,4.768096210730106,5.752521477729063,0.6638573702606904,0.533280504904651,timeh2o-v1,{} +timeh2o-v1,autogluon/fev_datasets,uk_covid_nation_1W,8,4,-32,8,1,,1,SQL,"['MASE', {'name': 'WAPE', 'epsilon': 1.0}, {'name': 'WQL', 'epsilon': 1.0}]","[0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9]",id,timestamp,"['cumulative_admissions', 'cumulative_cases', 'cumulative_deaths']",,[],"['cumulative_vaccinated_1', 'cumulative_vaccinated_2', 'cumulative_vaccinated_3', 'hospital_cases', 'icu_ventilator_occupancy']",[],uk_covid_nation_1W/cumulative,,2.990949076239584,0.0,0.9080201640099403,48,af2fc6dc5102a03b,False,0.11.0.dev0,2.990949076239584,3.660062570700526,0.03738793870611308,0.02966219166441273,timeh2o-v1,{} +timeh2o-v1,autogluon/fev_datasets,ecdc_ili,13,10,-130,13,1,,1,SQL,"['MASE', {'name': 'WAPE', 'epsilon': 1.0}, {'name': 'WQL', 'epsilon': 1.0}]","[0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9]",id,timestamp,target,,[],[],[],ecdc_ili,,2.0092897493360633,0.0,1.6623897800018312,240,6720af4dba0e70bb,False,0.11.0.dev0,2.0092897493360633,2.457922714807774,0.34793046377962117,0.28606012828778793,timeh2o-v1,{} +timeh2o-v1,autogluon/fev_datasets,boomlet_1062,288,20,-5760,288,1,,288,SQL,"['MASE', {'name': 'WAPE', 'epsilon': 1.0}, {'name': 'WQL', 'epsilon': 1.0}]","[0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9]",id,timestamp,"['target_0', 'target_1', 'target_10', 'target_11', 'target_12', 'target_13', 'target_14', 'target_15', 'target_16', 'target_17', 'target_18', 'target_19', 'target_2', 'target_20', 'target_3', 'target_4', 'target_5', 'target_6', 'target_7', 'target_8', 'target_9']",,[],[],[],boomlet_1062,,0.5366609091055997,0.0,10.588961120032764,420,ca11be392b53d514,False,0.11.0.dev0,0.5366609091055997,0.6633514568757626,0.5613625468765993,0.4479456352711808,timeh2o-v1,{} +timeh2o-v1,autogluon/fev_datasets,boomlet_1209,288,20,-5760,288,1,,288,SQL,"['MASE', {'name': 'WAPE', 'epsilon': 1.0}, {'name': 'WQL', 'epsilon': 1.0}]","[0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9]",id,timestamp,"['target_0', 'target_1', 'target_10', 'target_11', 'target_12', 'target_13', 'target_14', 'target_15', 'target_16', 'target_17', 'target_18', 'target_19', 'target_2', 'target_20', 'target_21', 'target_22', 'target_23', 'target_24', 'target_25', 'target_26', 'target_27', 'target_28', 'target_29', 'target_3', 'target_30', 'target_31', 'target_32', 'target_33', 'target_34', 'target_35', 'target_36', 'target_37', 'target_38', 'target_39', 'target_4', 'target_40', 'target_41', 'target_42', 'target_43', 'target_44', 'target_45', 'target_46', 'target_47', 'target_48', 'target_49', 'target_5', 'target_50', 'target_51', 'target_52', 'target_6', 'target_7', 'target_8', 'target_9']",,[],[],[],boomlet_1209,,0.6324648124864515,0.0,26.374804091014084,1060,077acd35ceeeb223,False,0.11.0.dev0,0.6324648124864515,0.748728449177972,0.2816147549939333,0.23790876759956311,timeh2o-v1,{} +timeh2o-v1,autogluon/fev_datasets,boomlet_1225,60,20,-1200,60,1,,1440,SQL,"['MASE', {'name': 'WAPE', 'epsilon': 1.0}, {'name': 'WQL', 'epsilon': 1.0}]","[0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9]",id,timestamp,"['target_0', 'target_1', 'target_10', 'target_11', 'target_12', 'target_13', 'target_14', 'target_15', 'target_16', 'target_17', 'target_18', 'target_19', 'target_2', 'target_20', 'target_21', 'target_22', 'target_23', 'target_24', 'target_25', 'target_26', 'target_27', 'target_28', 'target_29', 'target_3', 'target_30', 'target_31', 'target_32', 'target_33', 'target_34', 'target_35', 'target_36', 'target_37', 'target_38', 'target_39', 'target_4', 'target_40', 'target_41', 'target_42', 'target_43', 'target_44', 'target_45', 'target_46', 'target_47', 'target_48', 'target_5', 'target_6', 'target_7', 'target_8', 'target_9']",,[],[],[],boomlet_1225,,0.18392542237438533,0.0,30.69323803898442,980,e83dd069ff9268ff,False,0.11.0.dev0,0.18392542237438533,0.22971166963922363,0.12100398197336279,0.09716518475270679,timeh2o-v1,{} +timeh2o-v1,autogluon/fev_datasets,boomlet_1230,288,20,-5760,288,1,,288,SQL,"['MASE', {'name': 'WAPE', 'epsilon': 1.0}, {'name': 'WQL', 'epsilon': 1.0}]","[0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9]",id,timestamp,"['target_0', 'target_1', 'target_10', 'target_11', 'target_12', 'target_13', 'target_14', 'target_15', 'target_16', 'target_17', 'target_18', 'target_19', 'target_2', 'target_20', 'target_21', 'target_22', 'target_3', 'target_4', 'target_5', 'target_6', 'target_7', 'target_8', 'target_9']",,[],[],[],boomlet_1230,,1.1393664742684106,0.0,11.721880497017992,460,6554d82385939fa8,False,0.11.0.dev0,1.1393664742684106,1.3298877594332994,0.28922454690907207,0.24074975521367548,timeh2o-v1,{} +timeh2o-v1,autogluon/fev_datasets,boomlet_1282,60,20,-1200,60,1,,1440,SQL,"['MASE', {'name': 'WAPE', 'epsilon': 1.0}, {'name': 'WQL', 'epsilon': 1.0}]","[0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9]",id,timestamp,"['target_0', 'target_1', 'target_10', 'target_11', 'target_12', 'target_13', 'target_14', 'target_15', 'target_16', 'target_17', 'target_18', 'target_19', 'target_2', 'target_20', 'target_21', 'target_22', 'target_23', 'target_24', 'target_25', 'target_26', 'target_27', 'target_28', 'target_29', 'target_3', 'target_30', 'target_31', 'target_32', 'target_33', 'target_34', 'target_4', 'target_5', 'target_6', 'target_7', 'target_8', 'target_9']",,[],[],[],boomlet_1282,,0.39108657949473674,0.0,22.38984958601941,700,fdc5c2cc97fcfddb,False,0.11.0.dev0,0.39108657949473674,0.47650876138215725,0.3296821909797114,0.2680893408385403,timeh2o-v1,{} +timeh2o-v1,autogluon/fev_datasets,boomlet_1487,288,20,-5760,288,1,,288,SQL,"['MASE', {'name': 'WAPE', 'epsilon': 1.0}, {'name': 'WQL', 'epsilon': 1.0}]","[0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9]",id,timestamp,"['target_0', 'target_1', 'target_10', 'target_11', 'target_12', 'target_13', 'target_14', 'target_15', 'target_16', 'target_17', 'target_18', 'target_19', 'target_2', 'target_20', 'target_21', 'target_22', 'target_23', 'target_24', 'target_25', 'target_26', 'target_27', 'target_28', 'target_29', 'target_3', 'target_30', 'target_31', 'target_32', 'target_33', 'target_34', 'target_35', 'target_36', 'target_37', 'target_38', 'target_39', 'target_4', 'target_40', 'target_41', 'target_42', 'target_43', 'target_44', 'target_45', 'target_46', 'target_47', 'target_48', 'target_49', 'target_5', 'target_50', 'target_51', 'target_52', 'target_53', 'target_6', 'target_7', 'target_8', 'target_9']",,[],[],[],boomlet_1487,,0.390119967117169,0.0,34.046467414998915,1080,10fa6136d4196e21,False,0.11.0.dev0,0.390119967117169,0.47102751618118843,0.18551246365022273,0.15354614780281442,timeh2o-v1,{} +timeh2o-v1,autogluon/fev_datasets,boomlet_1631,96,20,-1920,96,1,,48,SQL,"['MASE', {'name': 'WAPE', 'epsilon': 1.0}, {'name': 'WQL', 'epsilon': 1.0}]","[0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9]",id,timestamp,"['target_0', 'target_1', 'target_10', 'target_11', 'target_12', 'target_13', 'target_14', 'target_15', 'target_16', 'target_17', 'target_18', 'target_19', 'target_2', 'target_20', 'target_21', 'target_22', 'target_23', 'target_24', 'target_25', 'target_26', 'target_27', 'target_28', 'target_29', 'target_3', 'target_30', 'target_31', 'target_32', 'target_33', 'target_34', 'target_35', 'target_36', 'target_37', 'target_38', 'target_39', 'target_4', 'target_5', 'target_6', 'target_7', 'target_8', 'target_9']",,[],[],[],boomlet_1631,,0.5706884837904611,0.0,16.519883189015673,800,b938dc2d09b574f2,False,0.11.0.dev0,0.5706884837904611,0.7141105569936674,0.31308680973171105,0.24941671637219537,timeh2o-v1,{} +timeh2o-v1,autogluon/fev_datasets,boomlet_1676,96,20,-1920,96,1,,48,SQL,"['MASE', {'name': 'WAPE', 'epsilon': 1.0}, {'name': 'WQL', 'epsilon': 1.0}]","[0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9]",id,timestamp,"['target_0', 'target_1', 'target_10', 'target_11', 'target_12', 'target_13', 'target_14', 'target_15', 'target_16', 'target_17', 'target_18', 'target_19', 'target_2', 'target_20', 'target_21', 'target_22', 'target_23', 'target_24', 'target_25', 'target_26', 'target_27', 'target_28', 'target_29', 'target_3', 'target_30', 'target_31', 'target_32', 'target_33', 'target_34', 'target_35', 'target_36', 'target_37', 'target_38', 'target_39', 'target_4', 'target_40', 'target_41', 'target_42', 'target_43', 'target_44', 'target_45', 'target_46', 'target_47', 'target_48', 'target_49', 'target_5', 'target_50', 'target_51', 'target_52', 'target_53', 'target_54', 'target_55', 'target_56', 'target_57', 'target_58', 'target_59', 'target_6', 'target_60', 'target_61', 'target_62', 'target_63', 'target_64', 'target_65', 'target_66', 'target_67', 'target_68', 'target_69', 'target_7', 'target_70', 'target_71', 'target_72', 'target_73', 'target_74', 'target_75', 'target_76', 'target_77', 'target_78', 'target_79', 'target_8', 'target_80', 'target_81', 'target_82', 'target_83', 'target_84', 'target_85', 'target_86', 'target_87', 'target_88', 'target_89', 'target_9', 'target_90', 'target_91', 'target_92', 'target_93', 'target_94', 'target_95', 'target_96', 'target_97', 'target_98', 'target_99']",,[],[],[],boomlet_1676,,0.5452160536653974,0.0,41.80537678901601,2000,4aba0435b7866e25,False,0.11.0.dev0,0.5452160536653974,0.6766175266532628,0.3098798843481385,0.24453301973203806,timeh2o-v1,{} +timeh2o-v1,autogluon/fev_datasets,boomlet_1855,24,20,-480,24,1,,24,SQL,"['MASE', {'name': 'WAPE', 'epsilon': 1.0}, {'name': 'WQL', 'epsilon': 1.0}]","[0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9]",id,timestamp,"['target_0', 'target_1', 'target_10', 'target_11', 'target_12', 'target_13', 'target_14', 'target_15', 'target_16', 'target_17', 'target_18', 'target_19', 'target_2', 'target_20', 'target_21', 'target_22', 'target_23', 'target_24', 'target_25', 'target_26', 'target_27', 'target_28', 'target_29', 'target_3', 'target_30', 'target_31', 'target_32', 'target_33', 'target_34', 'target_35', 'target_36', 'target_37', 'target_38', 'target_39', 'target_4', 'target_40', 'target_41', 'target_42', 'target_43', 'target_44', 'target_45', 'target_46', 'target_47', 'target_48', 'target_49', 'target_5', 'target_50', 'target_51', 'target_6', 'target_7', 'target_8', 'target_9']",,[],[],[],boomlet_1855,,0.4398210753068807,0.0,31.685685085998557,1040,9c5d4391c7bbe6cd,False,0.11.0.dev0,0.4398210753068807,0.5197761098423976,0.15500563645906143,0.131898729687132,timeh2o-v1,{} +timeh2o-v1,autogluon/fev_datasets,boomlet_1975,24,20,-480,24,1,,24,SQL,"['MASE', {'name': 'WAPE', 'epsilon': 1.0}, {'name': 'WQL', 'epsilon': 1.0}]","[0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9]",id,timestamp,"['target_0', 'target_1', 'target_10', 'target_11', 'target_12', 'target_13', 'target_14', 'target_15', 'target_16', 'target_17', 'target_18', 'target_19', 'target_2', 'target_20', 'target_21', 'target_22', 'target_23', 'target_24', 'target_25', 'target_26', 'target_27', 'target_28', 'target_29', 'target_3', 'target_30', 'target_31', 'target_32', 'target_33', 'target_34', 'target_35', 'target_36', 'target_37', 'target_38', 'target_39', 'target_4', 'target_40', 'target_41', 'target_42', 'target_43', 'target_44', 'target_45', 'target_46', 'target_47', 'target_48', 'target_49', 'target_5', 'target_50', 'target_51', 'target_52', 'target_53', 'target_54', 'target_55', 'target_56', 'target_57', 'target_58', 'target_59', 'target_6', 'target_60', 'target_61', 'target_62', 'target_63', 'target_64', 'target_65', 'target_66', 'target_67', 'target_68', 'target_69', 'target_7', 'target_70', 'target_71', 'target_72', 'target_73', 'target_74', 'target_8', 'target_9']",,[],[],[],boomlet_1975,,0.09160972079695588,0.0,46.533066167008656,1500,64b42ffa2ca20852,False,0.11.0.dev0,0.09160972079695588,0.1033198343891872,0.06018486144145389,0.05334673249617775,timeh2o-v1,{} +timeh2o-v1,autogluon/fev_datasets,boomlet_2187,24,20,-480,24,1,,24,SQL,"['MASE', {'name': 'WAPE', 'epsilon': 1.0}, {'name': 'WQL', 'epsilon': 1.0}]","[0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9]",id,timestamp,"['target_0', 'target_1', 'target_10', 'target_11', 'target_12', 'target_13', 'target_14', 'target_15', 'target_16', 'target_17', 'target_18', 'target_19', 'target_2', 'target_20', 'target_21', 'target_22', 'target_23', 'target_24', 'target_25', 'target_26', 'target_27', 'target_28', 'target_29', 'target_3', 'target_30', 'target_31', 'target_32', 'target_33', 'target_34', 'target_35', 'target_36', 'target_37', 'target_38', 'target_39', 'target_4', 'target_40', 'target_41', 'target_42', 'target_43', 'target_44', 'target_45', 'target_46', 'target_47', 'target_48', 'target_49', 'target_5', 'target_50', 'target_51', 'target_52', 'target_53', 'target_54', 'target_55', 'target_56', 'target_57', 'target_58', 'target_59', 'target_6', 'target_60', 'target_61', 'target_62', 'target_63', 'target_64', 'target_65', 'target_66', 'target_67', 'target_68', 'target_69', 'target_7', 'target_70', 'target_71', 'target_72', 'target_73', 'target_74', 'target_75', 'target_76', 'target_77', 'target_78', 'target_79', 'target_8', 'target_80', 'target_81', 'target_82', 'target_83', 'target_84', 'target_85', 'target_86', 'target_87', 'target_88', 'target_89', 'target_9', 'target_90', 'target_91', 'target_92', 'target_93', 'target_94', 'target_95', 'target_96', 'target_97', 'target_98', 'target_99']",,[],[],[],boomlet_2187,,0.6889938430063477,0.0,62.147166864007886,2000,11c87bbb463e8058,False,0.11.0.dev0,0.6889938430063477,0.7902441156501167,0.2607051183634724,0.22653329205040595,timeh2o-v1,{} +timeh2o-v1,autogluon/fev_datasets,boomlet_285,60,20,-1200,60,1,,1440,SQL,"['MASE', {'name': 'WAPE', 'epsilon': 1.0}, {'name': 'WQL', 'epsilon': 1.0}]","[0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9]",id,timestamp,"['target_0', 'target_1', 'target_10', 'target_11', 'target_12', 'target_13', 'target_14', 'target_15', 'target_16', 'target_17', 'target_18', 'target_19', 'target_2', 'target_20', 'target_21', 'target_22', 'target_23', 'target_24', 'target_25', 'target_26', 'target_27', 'target_28', 'target_29', 'target_3', 'target_30', 'target_31', 'target_32', 'target_33', 'target_34', 'target_35', 'target_36', 'target_37', 'target_38', 'target_39', 'target_4', 'target_40', 'target_41', 'target_42', 'target_43', 'target_44', 'target_45', 'target_46', 'target_47', 'target_48', 'target_49', 'target_5', 'target_50', 'target_51', 'target_52', 'target_53', 'target_54', 'target_55', 'target_56', 'target_57', 'target_58', 'target_59', 'target_6', 'target_60', 'target_61', 'target_62', 'target_63', 'target_64', 'target_65', 'target_66', 'target_67', 'target_68', 'target_69', 'target_7', 'target_70', 'target_71', 'target_72', 'target_73', 'target_74', 'target_8', 'target_9']",,[],[],[],boomlet_285,,0.272379858407392,0.0,70.55480035000073,1500,e42d826c23de9a92,False,0.11.0.dev0,0.272379858407392,0.32618955472293243,0.15843616342315273,0.13095968817205866,timeh2o-v1,{} +timeh2o-v1,autogluon/fev_datasets,boomlet_619,60,20,-1200,60,1,,1440,SQL,"['MASE', {'name': 'WAPE', 'epsilon': 1.0}, {'name': 'WQL', 'epsilon': 1.0}]","[0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9]",id,timestamp,"['target_0', 'target_1', 'target_10', 'target_11', 'target_12', 'target_13', 'target_14', 'target_15', 'target_16', 'target_17', 'target_18', 'target_19', 'target_2', 'target_20', 'target_21', 'target_22', 'target_23', 'target_24', 'target_25', 'target_26', 'target_27', 'target_28', 'target_29', 'target_3', 'target_30', 'target_31', 'target_32', 'target_33', 'target_34', 'target_35', 'target_36', 'target_37', 'target_38', 'target_39', 'target_4', 'target_40', 'target_41', 'target_42', 'target_43', 'target_44', 'target_45', 'target_46', 'target_47', 'target_48', 'target_49', 'target_5', 'target_50', 'target_51', 'target_6', 'target_7', 'target_8', 'target_9']",,[],[],[],boomlet_619,,0.28885425427095723,0.0,48.39060073501605,1040,d3f0b5a18e0a2463,False,0.11.0.dev0,0.28885425427095723,0.3818741552814871,0.2598958938585013,0.19702390834856165,timeh2o-v1,{} +timeh2o-v1,autogluon/fev_datasets,boomlet_772,60,20,-1200,60,1,,1440,SQL,"['MASE', {'name': 'WAPE', 'epsilon': 1.0}, {'name': 'WQL', 'epsilon': 1.0}]","[0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9]",id,timestamp,"['target_0', 'target_1', 'target_10', 'target_11', 'target_12', 'target_13', 'target_14', 'target_15', 'target_16', 'target_17', 'target_18', 'target_19', 'target_2', 'target_20', 'target_21', 'target_22', 'target_23', 'target_24', 'target_25', 'target_26', 'target_27', 'target_28', 'target_29', 'target_3', 'target_30', 'target_31', 'target_32', 'target_33', 'target_34', 'target_35', 'target_36', 'target_37', 'target_38', 'target_39', 'target_4', 'target_40', 'target_41', 'target_42', 'target_43', 'target_44', 'target_45', 'target_46', 'target_47', 'target_48', 'target_49', 'target_5', 'target_50', 'target_51', 'target_52', 'target_53', 'target_54', 'target_55', 'target_56', 'target_57', 'target_58', 'target_59', 'target_6', 'target_60', 'target_61', 'target_62', 'target_63', 'target_64', 'target_65', 'target_66', 'target_7', 'target_8', 'target_9']",,[],[],[],boomlet_772,,0.27286960251945064,0.0,62.85088324401295,1340,8dd4b8c1de6d89df,False,0.11.0.dev0,0.27286960251945064,0.31925633883777377,0.15160166332721273,0.12817900917725508,timeh2o-v1,{} +timeh2o-v1,autogluon/fev_datasets,boomlet_963,60,20,-1200,60,1,,1440,SQL,"['MASE', {'name': 'WAPE', 'epsilon': 1.0}, {'name': 'WQL', 'epsilon': 1.0}]","[0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9]",id,timestamp,"['target_0', 'target_1', 'target_10', 'target_11', 'target_12', 'target_13', 'target_14', 'target_15', 'target_16', 'target_17', 'target_18', 'target_19', 'target_2', 'target_20', 'target_21', 'target_22', 'target_23', 'target_24', 'target_25', 'target_26', 'target_27', 'target_3', 'target_4', 'target_5', 'target_6', 'target_7', 'target_8', 'target_9']",,[],[],[],boomlet_963,,0.6934921054899318,0.0,25.98825670001679,560,19b5fa63fbc974c3,False,0.11.0.dev0,0.6934921054899318,0.8109761300153291,0.3774510054288666,0.31015612908000884,timeh2o-v1,{} +timeh2o-v1,autogluon/fev_datasets,fred_md_2025,12,20,-240,12,1,,1,SQL,"['MASE', {'name': 'WAPE', 'epsilon': 1.0}, {'name': 'WQL', 'epsilon': 1.0}]","[0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9]",id,timestamp,"['CPIAUCSL', 'FEDFUNDS', 'PAYEMS']",,[],"['M2REAL', 'NONBORRES', 'PPICMM', 'TOTRESNS']",[],fred_md_2025/cee,,3.4008528059171423,0.0,3.974508760991739,60,f4398fe67412bf1f,False,0.11.0.dev0,3.4008528059171423,3.981014293924384,0.08256220552046414,0.07046338655943958,timeh2o-v1,{} +timeh2o-v1,autogluon/fev_datasets,fred_qd_2025,8,20,-160,8,1,,1,SQL,"['MASE', {'name': 'WAPE', 'epsilon': 1.0}, {'name': 'WQL', 'epsilon': 1.0}]","[0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9]",id,timestamp,"['CPIAUCSL', 'FEDFUNDS', 'PAYEMS']",,[],"['M2REAL', 'NONBORRES', 'PPICMM', 'TOTRESNS']",[],fred_qd_2025/cee,,1.7260417351089519,0.0,2.9294684060223517,60,37d11b5dcd3b8e27,False,0.11.0.dev0,1.7260417351089519,2.028792147726307,0.14824821935959626,0.120436601652346,timeh2o-v1,{} +timeh2o-v1,autogluon/fev_datasets,fred_md_2025,12,20,-240,12,1,,1,SQL,"['MASE', {'name': 'WAPE', 'epsilon': 1.0}, {'name': 'WQL', 'epsilon': 1.0}]","[0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9]",id,timestamp,"['AAA', 'AWHMAN', 'BAA', 'BUSINVx', 'CPIAUCSL', 'CPIMEDSL', 'CUMFNS', 'DMANEMP', 'EXUSUKx', 'FEDFUNDS', 'GS1', 'GS10', 'GS5', 'HOUST', 'INDPRO', 'INVEST', 'IPBUSEQ', 'IPCONGD', 'IPDCONGD', 'IPDMAT', 'IPFINAL', 'IPMANSICS', 'IPMAT', 'IPNCONGD', 'IPNMAT', 'M2REAL', 'MANEMP', 'NDMANEMP', 'NONBORRES', 'PAYEMS', 'PERMIT', 'PPICMM', 'S&P 500', 'SRVPRD', 'TB3MS', 'TB6MS', 'TOTRESNS', 'UEMP15T26', 'UEMP27OV', 'UEMP5TO14', 'UEMPLT5', 'UEMPMEAN', 'UMCSENTx', 'UNRATE', 'USCONS', 'USFIRE', 'USGOOD', 'USGOVT', 'USTPU', 'USTRADE', 'VIXCLSx']",,[],[],[],fred_md_2025/macro,,5.0893654409616875,0.0,16.640092465990165,1020,f4398fe67412bf1f,False,0.11.0.dev0,5.0893654409616875,5.981655904173626,0.07780687763394098,0.06377951509226212,timeh2o-v1,{} +timeh2o-v1,autogluon/fev_datasets,fred_qd_2025,8,20,-160,8,1,,1,SQL,"['MASE', {'name': 'WAPE', 'epsilon': 1.0}, {'name': 'WQL', 'epsilon': 1.0}]","[0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9]",id,timestamp,"['AAA', 'AWHMAN', 'BAA', 'BUSINVx', 'CPIAUCSL', 'CPIMEDSL', 'CUMFNS', 'DMANEMP', 'EXUSUKx', 'FEDFUNDS', 'GS1', 'GS10', 'GS5', 'HOUST', 'INDPRO', 'INVEST', 'IPBUSEQ', 'IPCONGD', 'IPDCONGD', 'IPDMAT', 'IPFINAL', 'IPMANSICS', 'IPMAT', 'IPNCONGD', 'IPNMAT', 'M2REAL', 'MANEMP', 'NDMANEMP', 'NONBORRES', 'PAYEMS', 'PERMIT', 'PPICMM', 'S&P 500', 'SRVPRD', 'TB3MS', 'TB6MS', 'TOTRESNS', 'UEMP15T26', 'UEMP27OV', 'UEMP5TO14', 'UEMPLT5', 'UEMPMEAN', 'UMCSENTx', 'UNRATE', 'USCONS', 'USFIRE', 'USGOOD', 'USGOVT', 'USTPU', 'USTRADE', 'VIXCLSx']",,[],[],[],fred_qd_2025/macro,,3.303082708806989,0.0,5.66449817600369,1020,37d11b5dcd3b8e27,False,0.11.0.dev0,3.303082708806989,3.9723111459785203,0.10199188810874311,0.08316902267686818,timeh2o-v1,{} +timeh2o-v1,autogluon/fev_datasets,us_consumption_1M,12,10,-120,12,1,,12,SQL,"['MASE', {'name': 'WAPE', 'epsilon': 1.0}, {'name': 'WQL', 'epsilon': 1.0}]","[0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9]",id,timestamp,target,,[],[],[],us_consumption_1M,,1.3963697392351198,0.0,5.356538686006388,310,2bbeebef1ff2190b,False,0.11.0.dev0,1.3963697392351198,1.6569736607185752,0.021782243375663434,0.019231598685355015,timeh2o-v1,{} +timeh2o-v1,autogluon/fev_datasets,us_consumption_1Q,8,10,-80,8,1,,4,SQL,"['MASE', {'name': 'WAPE', 'epsilon': 1.0}, {'name': 'WQL', 'epsilon': 1.0}]","[0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9]",id,timestamp,target,,[],[],[],us_consumption_1Q,,1.6806346236706098,0.0,2.2998868040012894,310,c7e4d3d3d492d1bf,False,0.11.0.dev0,1.6806346236706098,2.0264666662051565,0.030361388506784343,0.025702056489067638,timeh2o-v1,{} +timeh2o-v1,autogluon/fev_datasets,us_consumption_1Y,5,10,-50,5,1,,1,SQL,"['MASE', {'name': 'WAPE', 'epsilon': 1.0}, {'name': 'WQL', 'epsilon': 1.0}]","[0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9]",id,timestamp,target,,[],[],[],us_consumption_1Y,,3.4550188320218482,0.0,2.0358138649899047,310,d1ace3866eacc30d,False,0.11.0.dev0,3.4550188320218482,4.287556088492618,0.0510957169037214,0.03946568937383845,timeh2o-v1,{} +timeh2o-v1,autogluon/fev_datasets,gvar,8,10,-80,8,1,,4,SQL,"['MASE', {'name': 'WAPE', 'epsilon': 1.0}, {'name': 'WQL', 'epsilon': 1.0}]","[0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9]",id,timestamp,"['Dp', 'ep', 'eq', 'lr', 'r', 'y']",,[],"['pmat', 'pmetal', 'poil']",[],gvar,,0.5516732307123082,0.0,6.06364233000204,1980,c9fe42cbbbc1e4c9,False,0.11.0.dev0,0.5516732307123082,0.6719031907834747,0.017717639053331274,0.014483465260371784,timeh2o-v1,{} diff --git a/models/timeh2o-v1/model.py b/models/timeh2o-v1/model.py new file mode 100644 index 0000000..c2a090f --- /dev/null +++ b/models/timeh2o-v1/model.py @@ -0,0 +1,90 @@ +import datasets +import numpy as np + +import fev + + +class TimeH2OModel(fev.ForecastingModel): + """TimeH2O model from https://pypi.org/project/h2ofm/. + + Each item is passed as a (targets, history) series with its known dynamic covariates spanning history + horizon. + timeh2o-v1 forecasts every target from its own history plus those covariates; past-only and static covariates + are not used. The model emits quantiles only, so the point forecast is the median. + """ + + model_name = "timeh2o-v1" + trained_on_datasets = [] + + def __init__( + self, + device: str = "auto", + batch_size: int = 256, + context_length: int | None = None, + clip_nonnegative: bool = True, + snap_integer: bool = True, + flip_equivariant: bool = True, + ): + super().__init__() + self.device = device + self.batch_size = batch_size + self.context_length = context_length + self.clip_nonnegative = clip_nonnegative + self.snap_integer = snap_integer + self.flip_equivariant = flip_equivariant + self._model = None + + def _load_model(self): + if self._model is None: + from h2ofm import TimeH2O + + self._model = TimeH2O.from_pretrained( + "h2oai/timeh2o-v1", device=self.device, batch_size=self.batch_size + ) + return self._model + + def _fit_predict(self, task: fev.Task) -> list[datasets.DatasetDict]: + model = self._load_model() + predictions_per_window = [] + for window in task.iter_windows(): + past_data, future_data = window.get_input_data() + past_data = past_data.with_format("numpy") + future_data = future_data.with_format("numpy") + target_columns = window.target_columns + known_columns = window.known_dynamic_columns + + contexts = [ + np.stack([np.asarray(row[col], dtype=np.float32) for col in target_columns]) + for row in past_data.select_columns(target_columns) + ] + if known_columns: + past_known = past_data.select_columns(known_columns) + future_known = future_data.select_columns(known_columns) + future_covariates = [ + [np.concatenate([past_row[col], future_row[col]]) for col in known_columns] + for past_row, future_row in zip(past_known, future_known) + ] + else: + future_covariates = None + + with self._record_inference_time(): + forecasts = model.forecast_many( + contexts, + horizon=window.horizon, + future_covariates=future_covariates, + quantile_levels=task.quantile_levels, + context_length=self.context_length, + clip_nonnegative=self.clip_nonnegative, + snap_integer=self.snap_integer, + flip_equivariant=self.flip_equivariant, + ) + + point = np.stack([f.point for f in forecasts]) # (items, targets, horizon) + quantiles = np.stack([f.quantiles for f in forecasts]) # (items, targets, horizon, levels) + predictions = {} + for j, col in enumerate(target_columns): + target_predictions = {"predictions": point[:, j]} + for i, q in enumerate(task.quantile_levels): + target_predictions[str(q)] = quantiles[:, j, :, i] + predictions[col] = datasets.Dataset.from_dict(target_predictions) + predictions_per_window.append(datasets.DatasetDict(predictions)) + return predictions_per_window diff --git a/models/timeh2o-v1/requirements.txt b/models/timeh2o-v1/requirements.txt new file mode 100644 index 0000000..9e9a43a --- /dev/null +++ b/models/timeh2o-v1/requirements.txt @@ -0,0 +1 @@ +h2ofm==0.43.0