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Autogluon
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ETT_15T
·
2 rows
ETT_15T (2 rows)
ETT_1D (2 rows)
ETT_1H (2 rows)
ETT_1W (2 rows)
LOOP_SEATTLE_1D (323 rows)
LOOP_SEATTLE_1H (323 rows)
LOOP_SEATTLE_5T (323 rows)
M_DENSE_1D (30 rows)
M_DENSE_1H (30 rows)
SZ_TAXI_15T (156 rows)
SZ_TAXI_1H (156 rows)
australian_tourism (89 rows)
bizitobs_l2c_1H (1 rows)
bizitobs_l2c_5T (1 rows)
boomlet_1062 (1 rows)
boomlet_1209 (1 rows)
boomlet_1225 (1 rows)
boomlet_1230 (1 rows)
boomlet_1282 (1 rows)
boomlet_1487 (1 rows)
boomlet_1631 (1 rows)
boomlet_1676 (1 rows)
boomlet_1855 (1 rows)
boomlet_1975 (1 rows)
boomlet_2187 (1 rows)
boomlet_285 (1 rows)
boomlet_619 (1 rows)
boomlet_772 (1 rows)
boomlet_963 (1 rows)
ecdc_ili (25 rows)
entsoe_15T (6 rows)
entsoe_1H (6 rows)
entsoe_30T (6 rows)
epf_be (1 rows)
epf_de (1 rows)
epf_fr (1 rows)
epf_np (1 rows)
epf_pjm (1 rows)
ercot_1D (8 rows)
ercot_1H (8 rows)
ercot_1M (8 rows)
ercot_1W (8 rows)
favorita_stores_1D (1.58k rows)
favorita_stores_1M (1.58k rows)
favorita_stores_1W (1.58k rows)
favorita_transactions_1D (51 rows)
favorita_transactions_1M (51 rows)
favorita_transactions_1W (51 rows)
fred_md_2025 (1 rows)
fred_qd_2025 (1 rows)
gvar (33 rows)
hermes (10k rows)
hierarchical_sales_1D (118 rows)
hierarchical_sales_1W (118 rows)
hospital (767 rows)
hospital_admissions_1D (8 rows)
hospital_admissions_1W (8 rows)
jena_weather_10T (1 rows)
jena_weather_1D (1 rows)
jena_weather_1H (1 rows)
kdd_cup_2022_10T (134 rows)
kdd_cup_2022_1D (134 rows)
kdd_cup_2022_30T (134 rows)
m5_1D (30.5k rows)
m5_1M (30.5k rows)
m5_1W (30.5k rows)
proenfo_bull (41 rows)
proenfo_cockatoo (1 rows)
proenfo_gfc12 (11 rows)
proenfo_gfc14 (1 rows)
proenfo_gfc17 (8 rows)
proenfo_hog (24 rows)
proenfo_pdb (1 rows)
redset_15T (126 rows)
redset_1H (138 rows)
redset_5T (118 rows)
restaurant (817 rows)
rohlik_orders_1D (7 rows)
rohlik_orders_1W (7 rows)
rohlik_sales_1D (5.39k rows)
rohlik_sales_1W (5.24k rows)
rossmann_1D (1.12k rows)
rossmann_1W (1.12k rows)
solar_1D (137 rows)
solar_1W (137 rows)
solar_with_weather_15T (1 rows)
solar_with_weather_1H (1 rows)
uci_air_quality_1D (1 rows)
uci_air_quality_1H (1 rows)
uk_covid_nation_1D (4 rows)
uk_covid_nation_1W (4 rows)
uk_covid_utla_1D (214 rows)
uk_covid_utla_1W (214 rows)
us_consumption_1M (31 rows)
us_consumption_1Q (31 rows)
us_consumption_1Y (31 rows)
walmart (2.94k rows)
world_co2_emissions (191 rows)
world_life_expectancy (237 rows)
world_tourism (178 rows)
Split (1)
train
·
2 rows
train (2 rows)
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