Framework for machine and deep learning, with regression, classification and time series analysis
Project description
End-to-end machine learning on tabular and time series data — feature engineering, model selection, training, and prediction in one command.
Installation
pip install lecrapaud
Quick Start
from lecrapaud import LeCrapaud
LeCrapaud.set_uri("mysql+pymysql://user:password@host:port/dbname")
lc = LeCrapaud(
experiment_name="my_experiment",
target_numbers=[1],
target_clf=[1],
models_idx=["lgb", "xgb"],
)
lc.fit(data)
predictions, scores_reg, scores_clf = lc.predict(new_data)
Documentation
Full documentation available at lecrapaud.pierregallet.com
Contributing
python -m venv .venv
source .venv/bin/activate
make install
make format && make lint && make test
Pierre Gallet 2025
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