Wheelodex » Projects » energy-consumption-forecasting

energy-consumption-forecasting

View on PyPI — Reverse Dependencies (0)

0.2.1 energy_consumption_forecasting-0.2.1-py3-none-any.whl

Wheel Details

Project: energy-consumption-forecasting
Version: 0.2.1
Filename: energy_consumption_forecasting-0.2.1-py3-none-any.whl
Download: [link]
Size: 52073
MD5: 66fef3a3af44f98a2391fbbb3d070f97
SHA256: d7da17d4b8f2adba3cf51b5a20dcb5dc5d2f20c48e5086a920ed20a39342949a
Uploaded: 2024-03-21 19:35:22 +0000

dist-info

METADATA · WHEEL · RECORD

METADATA

Metadata-Version: 2.1
Name: energy-consumption-forecasting
Version: 0.2.1
Summary: A Machine Learning project on Denmark's Energy Consumption.
Author: John Pinto
Author-Email: 66053973+JohnPPinto[at]users.noreply.github.com
License: MIT
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Requires-Python: >=3.11.7,<3.12.0
Requires-Dist: google-cloud-storage (<3.0.0,>=2.15.0)
Requires-Dist: hopsworks (<4.0.0,>=3.4.4)
Requires-Dist: httpx (<0.27.0,>=0.26.0)
Requires-Dist: lightgbm (<5.0.0,>=4.3.0)
Requires-Dist: matplotlib (<4.0.0,>=3.8.2)
Requires-Dist: numpy (<2.0.0,>=1.26.3)
Requires-Dist: optuna (<4.0.0,>=3.5.0)
Requires-Dist: pandas (<3.0.0,>=2.1.4)
Requires-Dist: passlib (<2.0.0,>=1.7.4)
Requires-Dist: plotly (<6.0.0,>=5.19.0)
Requires-Dist: pydantic (<3.0.0,>=2.6.0)
Requires-Dist: python-dotenv (<2.0.0,>=1.0.1)
Requires-Dist: seaborn (<0.14.0,>=0.13.2)
Requires-Dist: sktime (<0.27.0,>=0.26.0)
Requires-Dist: wandb (<0.17.0,>=0.16.3)
Description-Content-Type: text/markdown
[Description omitted; length: 33 characters]

WHEEL

Wheel-Version: 1.0
Generator: poetry-core 1.8.1
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

Path Digest Size
energy_consumption_forecasting/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
energy_consumption_forecasting/airflow/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
energy_consumption_forecasting/airflow/dags/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
energy_consumption_forecasting/airflow/dags/utils.py sha256=qof9AgFZ8BWu35C9_8_d0lptKxPrc2rgXds11nV7OLE 743
energy_consumption_forecasting/airflow/dags/workflow_pipeline_dag.py sha256=lpQJYkqhTxrNH2RrdVjbpw6E3i7coesgCBIUcnJ3YYI 18864
energy_consumption_forecasting/airflow/docker-compose.yaml sha256=WkrsGEegFtaMKJYq6t5ZKCPdjTFsjK7rc5YRSCixV4o 11510
energy_consumption_forecasting/airflow/Dockerfile sha256=GtR86httaD9FShW-A3auRJ7nloxOwEnRsolOSNtDyuQ 166
energy_consumption_forecasting/exceptions.py sha256=mjCQeHlbt44j_-P8jys1OFL0fs0hQuAXzBo4N1I4oDI 1829
energy_consumption_forecasting/feature_pipeline/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
energy_consumption_forecasting/feature_pipeline/data_extraction.py sha256=LJn9sT7GiLrPNyi8f2PzrVAxUy-6GfvHb-qgcU70sPY 6671
energy_consumption_forecasting/feature_pipeline/data_loading.py sha256=WsPVgTL_nJWs0aSRxQb6TAZV53g-FjjW-LvZ04XxgNs 6968
energy_consumption_forecasting/feature_pipeline/data_transformation.py sha256=e6Hr2izxdyVq8DSDWSBZMgTh1l_Ar5eTj-I4kSQIWLY 5816
energy_consumption_forecasting/feature_pipeline/data_validation.py sha256=KYLbfdPXAKTr766uhBG3WRrUscqOIOS4IYLw5M_dV2Q 6605
energy_consumption_forecasting/feature_pipeline/feature_pipeline.py sha256=_8yNwCSq2qPRzC1B2nhC7SOUV7Tnt9FfK1fSnrkO_4A 9002
energy_consumption_forecasting/feature_pipeline/feature_view.py sha256=m-QLAM6742KBIlntl1uL5uh-5blNv9tY3e-mugNGgYc 7903
energy_consumption_forecasting/feature_pipeline/tests/test_data_extraction.py sha256=sAfXB2hTUMRn_Sd-EG1v5n6TGCzHsqdVmRPwv50WyIc 2484
energy_consumption_forecasting/feature_pipeline/tests/test_data_transformation.py sha256=3qrbGSfwhJBWZZjP2MCBNQnx00u7TBNZKHDoRMCnGHg 5088
energy_consumption_forecasting/inference_pipeline/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
energy_consumption_forecasting/inference_pipeline/batch_data.py sha256=GKBuAvU1iOCZEA9L4RxGwWhqMW9TPuOKiX22FbTzas4 2549
energy_consumption_forecasting/inference_pipeline/inference_pipeline.py sha256=onkz5I3bpqHvBC0NSyJAz_jlBeypTLhNcFdXwyAIYns 14138
energy_consumption_forecasting/inference_pipeline/monitor_performance.py sha256=ZHYPimfuN-Fcf__goGadOr8TjrPdXa35BkcniKu0qIQ 7817
energy_consumption_forecasting/inference_pipeline/utils.py sha256=MHbAwMR-Q074shr2ECyWao2SHYdxy_rl6LwKiM_hLA8 3501
energy_consumption_forecasting/logger.py sha256=0FXp8IEW-bK9bmH-fNVJtrctWJK6MRzPjveeB-UPKYU 1070
energy_consumption_forecasting/training_pipeline/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
energy_consumption_forecasting/training_pipeline/data_preprocessing.py sha256=eQvI_1mxG4zsF1fTmp-0HL99ZAxqRoKFI6BRaxArUtg 7774
energy_consumption_forecasting/training_pipeline/hyperparameter_tuning.py sha256=vti_jU9ThloPCymgT5J65bFkQPzZY-n5YPvFmKZ6xRk 10315
energy_consumption_forecasting/training_pipeline/model_builder.py sha256=Lx1bl4i3RB13ONYZdig0mcbfR3uVClxc0NtoJ74APCE 3386
energy_consumption_forecasting/training_pipeline/training_pipeline.py sha256=Ie3nAZcwNFyXEIGXwgeewnM-6_rFagsfaZFst_T4wJI 24434
energy_consumption_forecasting/training_pipeline/utils.py sha256=xYell7dBexmPv08TxJg-aFFiTS-kjmUmVgBbJkK8fxo 3019
energy_consumption_forecasting/utils.py sha256=nVjYuzGdaj1AadREyfUkj1vRE_8W_E_bfXWHrsxQHhE 1897
energy_consumption_forecasting-0.2.1.dist-info/LICENSE sha256=z13EnehadkDRL-wkRojmADMdBbosFka5Z6U18vbLECs 1088
energy_consumption_forecasting-0.2.1.dist-info/METADATA sha256=q--khLQafEnR6fazOXDdVihtA9X1HW3ngbf4Idw0iyE 1068
energy_consumption_forecasting-0.2.1.dist-info/WHEEL sha256=FMvqSimYX_P7y0a7UY-_Mc83r5zkBZsCYPm7Lr0Bsq4 88
energy_consumption_forecasting-0.2.1.dist-info/RECORD — —