autots/__init__.py,sha256=37XwiauyPWuVJC-Pezl-C0bWeK53q5m_roB5OFrJF_c,993
autots/datasets/__init__.py,sha256=vD81cdLy2oKOOmcaSLOQdiLD4ryarBsQCohanI8qJ6g,489
autots/datasets/_base.py,sha256=VgGWyS3IOh-n6VnuaX5l35xvPYTnQ9rPEuFvclAJhTA,18088
autots/datasets/fred.py,sha256=Wuqc_ThmyPpzlIvgzXs9QkpB53WGiYYjF8kw2r8hHPw,3041
autots/datasets/data/covid_daily.zip,sha256=tsXNa6DHeqaApRHXMzAOy7aIDxzVkxPYQlOktfqhIhI,4527
autots/datasets/data/eia_weekly.zip,sha256=huZYWCCcOy2K2id92SKKIYjAWS5sQ7_8t1DHrox8MDs,81380
autots/datasets/data/fred_monthly.zip,sha256=q3ObpeKWF06MIqSWLEv4d4cK5_2gWZo2nQ2W2rW5ZKY,27440
autots/datasets/data/fred_yearly.zip,sha256=yEgZg0T6rAOBrDoWQjePWTRt3np3WT9VVLDg25DSvgY,5553
autots/datasets/data/traffic_hourly.zip,sha256=cUFsbFrfHjIsOpSDxw6kTbvKxO89R6o0bXY7d0ePNa0,158529
autots/evaluator/__init__.py,sha256=msGAA9PqmLtsX3oXdhwCeZaFAYOpMa9TmUWhBog5smc,28
autots/evaluator/auto_model.py,sha256=dtS69IxZv12pJcq1o4VQMf7NdNSkTIvgHSm7nikdCaE,76632
autots/evaluator/auto_ts.py,sha256=MwpJgbD7p4TfjwJr1BLEno8XA2gE57jCtVf7Xh4uYV4,94982
autots/evaluator/benchmark.py,sha256=r8DjYECr-SqgOCyiSsHv__6dtn5mx9wmr-7pv0Wrwsg,17860
autots/evaluator/metrics.py,sha256=0MV5QuzFq3OV9ex7_qj90yf0bdGhOUvnsKnWuYvfSOU,6783
autots/models/__init__.py,sha256=RJ8y8y79-qg8-GaB7ogfrmCdNAs_hEuNoeh04hyeKJ0,24
autots/models/base.py,sha256=EqzEzPX7B__ROk7xe8xRGAUqeS7ESx5QOI3B9PLHKBI,14533
autots/models/basics.py,sha256=DeZkCCnOVwUxNOmUIG8U5FCE9vqZH1KYAK2dSegr9ko,79282
autots/models/dnn.py,sha256=XYh44HGg0ab8sSrJT07sLCWjCGMJ0tf26V7DJRrCMO4,16379
autots/models/ensemble.py,sha256=3cGBrzCIqxCb5WdIsWvED5SniWbnLCD8aqwGuZfqysU,54258
autots/models/gluonts.py,sha256=Y75yIhDbjdot7sNE-wceEugtkwJ9zt7S9GYyQWo2tis,24360
autots/models/greykite.py,sha256=Klly2FxQRheflCbGUQAC__ro849mv6wniKWfyVeyLJU,10744
autots/models/model_list.py,sha256=2atuhqKnh4v4RgEXfFQpXDyT3MsLXn2A_2oNV-ujzJw,6070
autots/models/prophet.py,sha256=epayRZCLHie6bFYPB3J_mV_6FH4UNufm3lilmrBSppI,11242
autots/models/sklearn.py,sha256=Z8W0FwyvmmSH6ISAOUlIgVtCztNHKVyKe_Kk4y1IzxI,105150
autots/models/statsmodels.py,sha256=XMYhOh4SDmuEcFyNy8uPz2O2Eqe8X_f91C3XPRUwBDA,87007
autots/models/tfp.py,sha256=RnWz4K5splCInVP3mO6xHrFOsbTsontyr2yRs_TfLi8,21794
autots/models/tsfresh.py,sha256=9WCaS5SQO5zaoBXATW0He2XbAh_aJYWB745Ul8wWVwU,12946
autots/templates/__init__.py,sha256=MMlURuzMFKS7tvWffrLchv-YpSjHXYze0Miiaidth-0,27
autots/templates/general.py,sha256=aPBFZ0GPbMdTmiEmyFaiEb9G8WPjLPgOPztWjtuaWe0,24193
autots/tools/__init__.py,sha256=sIFZecPudjpGQWAXmtOnx0zOPsHiMBy7SWpQx-zuc70,96
autots/tools/cpu_count.py,sha256=JFsA6RpzhIRyzy5ET6s_xJwVxjIRn3QUBIlbWQQ-YLM,1709
autots/tools/hierarchial.py,sha256=JDA3yAxwyW4U5SULnj-AWaLnarJENyV7CTiwt3xzZ8w,5872
autots/tools/holiday.py,sha256=tVfepcGKJ0s9ymieiwSY0jhUkr3V9-pfQfqFIvREaEc,3389
autots/tools/impute.py,sha256=bVt0BZrsXFtQjbJb83e-Nt7h0AeHjqHYBHC0eoZPqq8,6437
autots/tools/probabilistic.py,sha256=Vk0jaKqffGPAM0gv407mTWk3_RYZr_Ul2R8iM5TeUlA,7184
autots/tools/profile.py,sha256=dX8YUEMJoC1AlJFlO-9OX5FQXXL_RaYY-qzCyI3tdMk,1001
autots/tools/regressor.py,sha256=-558rnnhKBY_2sNDEErkMbyE-HSRJ6yobsijxSU3SRA,11165
autots/tools/seasonal.py,sha256=2FAb_gB26qEvKGivqEt3CdbylnA0Vu2u5FLyaVj9zA4,3736
autots/tools/shaping.py,sha256=FM4SuKUfY20XD8NKPfilHJaN7sZ04-1Ja6c7f8AAq7E,16719
autots/tools/transform.py,sha256=rBNWeiD4dmWylb9Hrn7xdxbmo34L42H3g2qnAyDSmuk,88733
autots/tools/window_functions.py,sha256=pBvTgvYPgvc2Rb5QfgOi2hllO3hBcHDdKUI-fy-Lpp4,13244
AutoTS-0.3.12.dist-info/LICENSE,sha256=8UOx7AhGiXXInHrdKEY1IDVHiG3t8Sg817EVjn9MXks,1090
AutoTS-0.3.12.dist-info/METADATA,sha256=nvvSqe5VZ6dTjY0-fkZhARs_AhIWUKwwyK0kD_HaapQ,8712
AutoTS-0.3.12.dist-info/WHEEL,sha256=ewwEueio1C2XeHTvT17n8dZUJgOvyCWCt0WVNLClP9o,92
AutoTS-0.3.12.dist-info/top_level.txt,sha256=bhy_5vpZM1lRYmoAfSD1mnUSNOyfnKBoihQmH6pEzAI,7
AutoTS-0.3.12.dist-info/RECORD,,
