Path |
Digest |
Size |
forecast_dataprep/__init__.py |
sha256=t0g9YTZGR_jMmKlWc1fo240ZHQ1KiOT0E2tO7Fbg20I
|
71 |
forecast_dataprep/data_models.py |
sha256=DBKMrKvaM9eD86oqwXzPlEaGHEMWnC2KreJ-7JxWbf0
|
6442 |
forecast_dataprep/functions.py |
sha256=W_j5w6Db798PRr71WW8RM8AFV60BC4An76J0NEX3-xg
|
9541 |
forecast_dataprep/data_enrichment/__init__.py |
sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU
|
0 |
forecast_dataprep/data_enrichment/cyclical_features.py |
sha256=IX7Awq6sOkl1LeZ4HmiCOCotjVaCvJ5Utg2-D9Uq2ZQ
|
2037 |
forecast_dataprep/data_enrichment/delayed_features.py |
sha256=xQHZkY9YenISNMm2DggbOJVrJQ0eOwhPgUhJMCH780Y
|
1246 |
forecast_dataprep/data_enrichment/national_holiday.py |
sha256=IiOZgcAO32Ooy09_PBYJgb6hZHphJrPcSDZCuwOARqc
|
2926 |
forecast_dataprep/data_enrichment/prices.py |
sha256=mP8uOaO7fFKUxQu975Ng1WVmJ3hcxMV6k9jdXwTLj6U
|
845 |
forecast_dataprep/data_enrichment/school_holiday.py |
sha256=hHZqqCxPMon0S_72kEO7xx6YjgowAXddb63P0GNhtnM
|
4397 |
forecast_dataprep/data_enrichment/temperature.py |
sha256=jLHfPMxIsRRZmuWY13sCJwLq-TmWVs4P6_dZPJGvrDA
|
3610 |
forecast_dataprep/data_enrichment/time_constants.py |
sha256=pdzxrA27JlaSIUleE0ph20oTmEO6cdrW0PRjyyf08Fg
|
180 |
forecast_dataprep/data_enrichment/weekly_average.py |
sha256=cqb4L8DA9aeoHoLRmG3_Z-L7NIiVkJZBB_bqsaf4V9Y
|
1290 |
forecast_dataprep/data_fetching/__init__.py |
sha256=ZenGVsRg98Aw9yYC7sb1rtVFr1A4f4jgX91FH7xpd4s
|
3125 |
forecast_dataprep/data_fetching/bq_auth.py |
sha256=V9qNWoHctt6LrPyDzq5WzuNOJLc9SOHbduEocPmbu5E
|
259 |
forecast_dataprep/data_fetching/common.py |
sha256=Azz_FRs7OiwlyCbUb8Pm4NyslfJolDnN41U2fMUtLXE
|
4994 |
forecast_dataprep/data_fetching/data_models.py |
sha256=z4PVe8fKNm_vKoodOxo2w-zqpjTLZRYG2tA8Bw1W_jk
|
577 |
forecast_dataprep/data_fetching/meteringpoints.py |
sha256=tC4vw_eRhjBXsQWPznKnsd7upEtEWpEYsNj91sZVtDI
|
3252 |
forecast_dataprep/data_fetching/substations.py |
sha256=ZpdyiUkC-ZzprbyW35pywa_rvjX4fV-LmTllDkkWwQU
|
3333 |
forecast_dataprep/data_ingestion/__init__.py |
sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU
|
0 |
forecast_dataprep/data_ingestion/prediction.py |
sha256=J6B1PQwRKlN09IUNk-xRbrsZzI9gqzxDvEOedZpdPrc
|
2034 |
forecast_dataprep/data_ingestion/shared.py |
sha256=g7qwtGaBmWoVnltrUKaQavN8kUb8UUhNoEOMbQj-iGE
|
3157 |
forecast_dataprep/data_ingestion/training.py |
sha256=T_Xm0mohoacp7Xsj6Pdx9o5IKuiW2D_BHkuKNBz7QdE
|
7301 |
forecast_dataprep/weather_api/__init__.py |
sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU
|
0 |
forecast_dataprep/weather_api/common.py |
sha256=0EaQB2y7lEovBTnCSRVVisVwhZudXLyhsnPF-OaGS2Y
|
1710 |
forecast_dataprep/weather_api/data_models.py |
sha256=jwX42_uwD1RCdukb_UJdbdgYx8zFdRV1TxAIumFPtCM
|
1193 |
forecast_dataprep/weather_api/wrapper.py |
sha256=pC8FRKejDSl8L4Ge33k4JX_FK0bt8wUq_4p0HH7tRi4
|
7611 |
forecast_dataprep/weather_api/wrapper_multilocation.py |
sha256=0jAqGPkiba-jNwG5cetEmOJQqfMujgVy5JUInyW6e9c
|
5652 |
elvia_datascience_forecasting-3.1.0.dist-info/METADATA |
sha256=4jE1KDwCYmjC66_1eoqlfc8XK8iiws8F9oiJYP-96XY
|
497 |
elvia_datascience_forecasting-3.1.0.dist-info/WHEEL |
sha256=GJ7t_kWBFywbagK5eo9IoUwLW6oyOeTKmQ-9iHFVNxQ
|
92 |
elvia_datascience_forecasting-3.1.0.dist-info/top_level.txt |
sha256=GZYCUn-71K6CMMRHYIL0DsWzlQR08ofGzld9BVUO-4A
|
18 |
elvia_datascience_forecasting-3.1.0.dist-info/RECORD |
— |
— |