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Author:
dr Tymoteusz Miller, dr inż. Ewelina Kostecka
License:
MIT License Copyright (c) 2025 Tymoteusz Miller Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to ...
Summary:
Domain-specific AutoML library for energy forecasting with physics–ML hybrids and synthetic gap filling
Latest version:
1.0.0
Required dependencies:
matplotlib
|
numpy
|
optuna
|
pandas
|
prophet
|
pvlib
|
pyarrow
|
pydantic
|
pytorch-lightning
|
pyyaml
|
rich
|
scikit-learn
|
statsforecast
|
torch
|
typer
|
xgboost
Optional dependencies:
black
|
mkdocs
|
mkdocs-material
|
mkdocstrings
|
mkdocstrings-python
|
pymdown-extensions
|
pytest
|
ruff
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