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Author:
Javier Escobar Ortiz
Summary:
Python time series forecasting assistant built on skforecast: deterministic decisions, the script that ran, an optional LLM that explains them, and an MCP server for AI agents.
Latest version:
0.4.2
Required dependencies:
lightgbm
|
numpy
|
pandas
|
pydantic
|
rich
|
scikit-learn
|
scipy
|
skforecast
|
statsmodels
|
tomli
|
typer
|
typing-extensions
Optional dependencies:
black
|
boto3
|
chronos-forecasting
|
mcp
|
mike
|
mkdocs
|
mkdocs-jupyter
|
mkdocs-material
|
mkdocs-typer2
|
mkdocstrings
|
mkdocstrings-python
|
pydantic-ai
|
pytest
|
pytest-cov
|
pytest-github-actions-annotate-failures
|
pytest-xdist
|
skforecast-ai
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