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remove datasets
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6 files changed

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-10
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tests/operators/data/timeseries/AirPassengers.csv renamed to tests/operators/data/timeseries/dataset1.csv

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Date,#Passengers
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Date,Y
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1949-01,112
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1949-02,118
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1949-03,132

tests/operators/data/timeseries/AustralianTourism.csv renamed to tests/operators/data/timeseries/dataset3.csv

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Date,Total,Hol,VFR,Bus,Oth,NSW - hol,VIC - hol,QLD - hol,SA - hol,WA - hol,TAS - hol,NT - hol,NSW - vfr,VIC - vfr,QLD - vfr,SA - vfr,WA - vfr,TAS - vfr,NT - vfr,NSW - bus,VIC - bus,QLD - bus,SA - bus,WA - bus,TAS - bus,NT - bus,NSW - oth,VIC - oth,QLD - oth,SA - oth,WA - oth,TAS - oth,NT - oth,NSW - hol - city,NSW - hol - noncity,VIC - hol - city,VIC - hol - noncity,QLD - hol - city,QLD - hol - noncity,SA - hol - city,SA - hol - noncity,WA - hol - city,WA - hol - noncity,TAS - hol - city,TAS - hol - noncity,NT - hol - city,NT - hol - noncity,NSW - vfr - city,NSW - vfr - noncity,VIC - vfr - city,VIC - vfr - noncity,QLD - vfr - city,QLD - vfr - noncity,SA - vfr - city,SA - vfr - noncity,WA - vfr - city,WA - vfr - noncity,TAS - vfr - city,TAS - vfr - noncity,NT - vfr - city,NT - vfr - noncity,NSW - bus - city,NSW - bus - noncity,VIC - bus - city,VIC - bus - noncity,QLD - bus - city,QLD - bus - noncity,SA - bus - city,SA - bus - noncity,WA - bus - city,WA - bus - noncity,TAS - bus - city,TAS - bus - noncity,NT - bus - city,NT - bus - noncity,NSW - oth - city,NSW - oth - noncity,VIC - oth - city,VIC - oth - noncity,QLD - oth - city,QLD - oth - noncity,SA - oth - city,SA - oth - noncity,WA - oth - city,WA - oth - noncity,TAS - oth - city,TAS - oth - noncity,NT - oth - city,NT - oth - noncity,NSW,VIC,QLD,SA,WA,TAS,NT
1+
Date,Y,Hol,VFR,Bus,Oth,NSW - hol,VIC - hol,QLD - hol,SA - hol,WA - hol,TAS - hol,NT - hol,NSW - vfr,VIC - vfr,QLD - vfr,SA - vfr,WA - vfr,TAS - vfr,NT - vfr,NSW - bus,VIC - bus,QLD - bus,SA - bus,WA - bus,TAS - bus,NT - bus,NSW - oth,VIC - oth,QLD - oth,SA - oth,WA - oth,TAS - oth,NT - oth,NSW - hol - city,NSW - hol - noncity,VIC - hol - city,VIC - hol - noncity,QLD - hol - city,QLD - hol - noncity,SA - hol - city,SA - hol - noncity,WA - hol - city,WA - hol - noncity,TAS - hol - city,TAS - hol - noncity,NT - hol - city,NT - hol - noncity,NSW - vfr - city,NSW - vfr - noncity,VIC - vfr - city,VIC - vfr - noncity,QLD - vfr - city,QLD - vfr - noncity,SA - vfr - city,SA - vfr - noncity,WA - vfr - city,WA - vfr - noncity,TAS - vfr - city,TAS - vfr - noncity,NT - vfr - city,NT - vfr - noncity,NSW - bus - city,NSW - bus - noncity,VIC - bus - city,VIC - bus - noncity,QLD - bus - city,QLD - bus - noncity,SA - bus - city,SA - bus - noncity,WA - bus - city,WA - bus - noncity,TAS - bus - city,TAS - bus - noncity,NT - bus - city,NT - bus - noncity,NSW - oth - city,NSW - oth - noncity,VIC - oth - city,VIC - oth - noncity,QLD - oth - city,QLD - oth - noncity,SA - oth - city,SA - oth - noncity,WA - oth - city,WA - oth - noncity,TAS - oth - city,TAS - oth - noncity,NT - oth - city,NT - oth - noncity,NSW,VIC,QLD,SA,WA,TAS,NT
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1990-01-01,84503,45906,26042,9815,2740,17589,10412,9078,3089,3449,2102,187,9398,5993,5290,2193,1781,1350,37,2885,2148,2093,844,1406,223,216,906,467,702,317,205,100,43,3096,14493,2531,7881,4688,4390,888,2201,1383,2066,619,1483,101,86,2709,6689,2565,3428,3003,2287,1324,869,1019,762,602,748,28,9,1201,1684,1164,984,1111,982,388,456,532,874,116,107,136,80,396,510,181,286,431,271,244,73,168,37,76,24,35,8,30778,19020,17163,6443,6841,3775,483
33
1990-01-02,65312,29347,20676,11823,3466,11027,6025,6310,1935,2454,1098,498,7829,4107,4902,1445,1353,523,517,4301,1825,2224,749,2043,373,308,1238,552,839,363,269,97,108,1479,9548,1439,4586,2320,3990,521,1414,1059,1395,409,689,201,297,2184,5645,1852,2255,1957,2945,806,639,750,603,257,266,168,349,2020,2281,1014,811,776,1448,346,403,356,1687,83,290,138,170,657,581,229,323,669,170,142,221,170,99,36,61,69,39,24395,12509,14275,4492,6119,2091,1431
44
1990-01-03,72753,32492,20582,13565,6114,8910,5060,11733,1569,3398,458,1364,7277,3811,5489,1453,1687,391,474,4093,1944,3379,750,1560,303,1536,1433,446,1434,712,1546,55,488,1609,7301,1488,3572,4758,6975,476,1093,1101,2297,127,331,619,745,2225,5052,1882,1929,2619,2870,1078,375,953,734,130,261,390,84,1975,2118,1153,791,1079,2300,390,360,440,1120,196,107,452,1084,540,893,128,318,270,1164,397,315,380,1166,32,23,150,338,21713,11261,22035,4484,8191,1207,3862

tests/operators/data/timeseries/MonthlyMilkIncomplete.csv renamed to tests/operators/data/timeseries/dataset4.csv

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"Date","Pounds per cow"
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"Date","Y"
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"1962-01",589
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"1962-02",561
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"1962-03",640

tests/operators/forecast/test_datasets.py

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DATASET_PREFIX = f"{os.path.dirname(os.path.abspath(__file__))}/../data/timeseries/"
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DATASETS_LIST = [
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{"filename": f"{DATASET_PREFIX}AirPassengers.csv", "target": "#Passengers"},
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{"filename": f"{DATASET_PREFIX}AusBeer.csv", "target": "Y"},
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{"filename": f"{DATASET_PREFIX}dataset1.csv", "target": "Y"},
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{"filename": f"{DATASET_PREFIX}dataset2.csv", "target": "Y"},
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{
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"filename": f"{DATASET_PREFIX}AustralianTourism.csv",
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"target": "Total",
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"filename": f"{DATASET_PREFIX}dataset3.csv",
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"target": "Y",
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"format": "%Y-%m-%d",
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},
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{
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"filename": f"{DATASET_PREFIX}MonthlyMilkIncomplete.csv",
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"target": "Pounds per cow",
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"filename": f"{DATASET_PREFIX}dataset4.csv",
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"target": "Y",
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"include_test_data": False,
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},
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{"filename": f"{DATASET_PREFIX}Wooly.csv", "target": "Y"},
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{"filename": f"{DATASET_PREFIX}dataset5.csv", "target": "Y"},
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]
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MODELS = [

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