pyaf

View on PyPIReverse Dependencies (4)

5.0 pyaf-5.0-py2.py3-none-any.whl

Wheel Details

Project: pyaf
Version: 5.0
Filename: pyaf-5.0-py2.py3-none-any.whl
Download: [link]
Size: 130730
MD5: a190cf3c0a065c012de56d36426cde4f
SHA256: 8122dca416b8c8662fe6d68e94f42de9b831cacc1bcc8ba9e5c5631792828af0
Uploaded: 2023-07-12 22:24:01 +0000

dist-info

METADATA

Metadata-Version: 2.1
Name: pyaf
Version: 5.0
Summary: Python Automatic Forecasting
Author: Antoine CARME
Author-Email: antoine.carme[at]outlook.com
Home-Page: https://github.com/antoinecarme/pyaf
License: BSD 3-clause
Keywords: arx automatic-forecasting autoregressive benchmark cycle decomposition exogenous forecasting heroku hierarchical-forecasting horizon jupyter pandas python scikit-learn seasonal time-series transformation trend web-service
Classifier: Development Status :: 5 - Production/Stable
Classifier: Programming Language :: Python :: 3
Requires-Python: >=3
Requires-Dist: dill
Requires-Dist: matplotlib
Requires-Dist: pandas
Requires-Dist: pydot
Requires-Dist: scikit-learn
Requires-Dist: scipy
Description-Content-Type: text/markdown
License-File: LICENSE
License-File: AUTHORS.rst
[Description omitted; length: 13078 characters]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.38.4)
Root-Is-Purelib: true
Tag: py2-none-any
Tag: py3-none-any

RECORD

Path Digest Size
pyaf/ForecastEngine.py sha256=8qQOjRzvdiXoIvV_2LYjRNd8dUpUc95vHRMhElar59U 2286
pyaf/HierarchicalForecastEngine.py sha256=rBq-h5FBvBukQEeZAqGXLl1dNxaoGaH5XjGl1fouAKU 3972
pyaf/__init__.py sha256=ftdgyLgAohTLj7U8QHQwMNgGj2X1opU78v7qfn0dqhM 572
pyaf/Bench/Artificial.py sha256=c4kAAr09Bimv7RGV-L7cRs2vYIU-mwE8pongi2Z2dsU 559
pyaf/Bench/GenericBenchmark.py sha256=jsSz214TIZFY_ozZAOt6HPEqT0g7dic7Fa9G5wfezCE 18471
pyaf/Bench/MComp.py sha256=CTesgD9jiN6QtOAQj6yNUqGWneItJj-mk4cJ24Dhxbs 773
pyaf/Bench/NN3.py sha256=Jz4BAQlNGq1bJs3l4juhWCoeenfcyR8iNdcP22Opnsg 693
pyaf/Bench/TS_datasets.py sha256=hxD8mLcWGQtQXVGQ64XnhF5iT4cRVh0tHb1ns12JdVA 39004
pyaf/Bench/YahooStocks.py sha256=JabK1b2-Z1YCMND0y4VCRe021mhtt3_FCUN9QImZLQs 516
pyaf/Bench/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
pyaf/Bench/download_all_stock_prices.py sha256=kxJoVHh85b1X9OgimYsArjCTuldPxhkm7U0IuCvrl14 341
pyaf/Bench/stocks_symbol_list.py sha256=9bjDLUJBFViBbHc0QXqbuU7l3Xe78fADGUCSo9ZscHM 69054
pyaf/TS/Complexity.py sha256=goc2F7KwdP9gX-DrjKqqcc4jsl--yQ4uJFQxYFbk59M 510
pyaf/TS/DateTime_Functions.py sha256=W6X5AN1A3kj9cEHb1sxjBwtDDONwUXOIrOaHeHWS3D0 7339
pyaf/TS/Exogenous.py sha256=IeOHcQtipTwB0VWtjMp5e-HZ9h-ho-p_FYeVzxkZ7-Y 9827
pyaf/TS/Intermittent_Models.py sha256=JY5wl9dYA29MyX77272zZJ5fiCmsC9mRjYJJuGGNu18 6715
pyaf/TS/Keras_Models.py sha256=7OIStpfBy8rcYuaDb983lfE89ztn39Oi41P6CnyZdHc 6757
pyaf/TS/MissingData.py sha256=bAzgplX1YSUeTqQIoj0m9_52WEct5KAYjnMHlTd_rww 4876
pyaf/TS/ModelSelection_Legacy.py sha256=vq0_eMFaF0i-9PNK04a1VMVs4JKaCZG5_GqurDaLdzQ 7727
pyaf/TS/ModelSelection_Voting.py sha256=2agHo0IG1xPsbfRAYGQmNSE9MrnprxOMuRlNL3i8ZmI 11293
pyaf/TS/Options.py sha256=-wgmaXs_m5MiFaektNBm-UAdSPS2MV3akrjVkyM3TXc 12097
pyaf/TS/Perf.py sha256=j8wb6HJfiYuMREV_SDLTNRBNnISzTOBogA_FLpt6kgw 17092
pyaf/TS/Plots.py sha256=VTh3Oq0mgsmqFDYPdrib5-lmQc6SR8UO17WooPM_ZyA 13535
pyaf/TS/PredictionIntervals.py sha256=hERgEcxQwHHth-_yjpED_NWcBU8xj6a1Fmp0Y2lDq0g 8552
pyaf/TS/Pytorch_Models.py sha256=TeIs_-ch77O6QHCk7fS6mY6bNBGWm9JDcn_-0wYgl8s 8405
pyaf/TS/Scikit_Models.py sha256=yESkHo9boCY-j4rbgEycA1yFbpNYQvgp6fZu-brQJiI 10555
pyaf/TS/SignalDecomposition.py sha256=4AXIL4p_-kDbSPLhdFrRDBO4mN7KLzQo56vMvXje1lA 7719
pyaf/TS/SignalDecomposition_AR.py sha256=2xf_c-OMVZlOyqtOaAGd-aQv7DIf1nN_iHm88U9gEMM 18596
pyaf/TS/SignalDecomposition_Cycle.py sha256=jPDZuGljbt3_OhPOUsaJmIEw4CoipUhzEfCV1a9bg-I 27307
pyaf/TS/SignalDecomposition_Forecaster.py sha256=dNBe9DPlZfXxC3oTtvidW8b4xut_aMLEBZae2MvMyFo 3383
pyaf/TS/SignalDecomposition_Trainer.py sha256=myoZ4X-uL1FGCFXUmRSe6nwC08kNyWYe_0NxRvo66wo 18323
pyaf/TS/SignalDecomposition_Trend.py sha256=D9b4T_8Jm92ntuYMRl-URwRW6OA_lXPefg1VzNJPd4I 13834
pyaf/TS/SignalHierarchy.py sha256=t7YEs7JJbSnRp1hgWNJsLZGzSzB91-3LfZOPK5thb7c 27008
pyaf/TS/Signal_Grouping.py sha256=5Cg27O5Hwrs1PvRxecGXzQIVi_yFlJTTTRN3vi-hYbs 3314
pyaf/TS/Signal_Transformation.py sha256=AawbLWjWZVsVtQBOH0sklCKoaiAh708fm_RUeEvI79o 18016
pyaf/TS/Temporal_Hierarchy.py sha256=wiYmaVcqDNMXndSl_w5mvvG-mNQjEYHiw8Ss1hSajqg 7373
pyaf/TS/Time.py sha256=KdekJ3ZjO9eDIozqCRF6KCxFsNEU_CYzBkr7Wbt63_M 8867
pyaf/TS/TimeSeriesModel.py sha256=tW861RZcGJ5MXE3-PD1aD9QcgdYlUZPRpzeR7e6kBSc 32048
pyaf/TS/TimeSeries_Cutting.py sha256=46-76pWYXSuuDe630XpQEAxBe5UVQ5udBqSbWwIS4d4 4784
pyaf/TS/Utils.py sha256=xvLf-VILSr4KYgBhYI5E_uk8bBfL3bSeFkU2ux2ktPA 4091
pyaf/TS/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
pyaf/WS/WS_Backend.py sha256=59iHHP9vy9FCn1ec3qInPGYS49bAL_QZlekFIFyEKgc 13735
pyaf/WS/WS_REST_Flask.py sha256=8iJogNOMSSUoQ7tbHwDmRB4MUle8WcR-zGVAezktPfE 3518
pyaf/WS/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
pyaf/WS/test_heroku_web_service.py sha256=c4-8peJHvnh7T5KPvJjsJa2027eIjZPLEVq1OAuFPXM 926
pyaf-5.0.dist-info/AUTHORS.rst sha256=Xhzh4ffCpVhEqA3n_8I6JvdiLY0AOyep3NVpw_DXRnM 320
pyaf-5.0.dist-info/LICENSE sha256=sJTYEQF0ukhsLrmMOePls1_XnT9IPADEwLX95sf56oM 1541
pyaf-5.0.dist-info/METADATA sha256=AdpOzR62e93YZMEoyLCCGr0yI7hjEJDSYZ_x0sOJKck 13878
pyaf-5.0.dist-info/WHEEL sha256=bb2Ot9scclHKMOLDEHY6B2sicWOgugjFKaJsT7vwMQo 110
pyaf-5.0.dist-info/top_level.txt sha256=iUrQRoSaZLm46bz5I1Ib6dk0Ih-Dsa5dbVce7bum1Os 5
pyaf-5.0.dist-info/RECORD

top_level.txt

pyaf