Time series analysis library with ARIMA, state-space models, and automatic model selection
Project description
chronobox
Time series analysis library with ARIMA, state-space models, and automatic model selection.
Installation
pip install -e ".[dev]"
Quick Start
from chronobox import ARIMA
from chronobox.datasets import load_dataset
airline = load_dataset('airline')
model = ARIMA(order=(0,1,1), seasonal_order=(0,1,1,12))
results = model.fit(airline['passengers'])
print(results.summary())
forecast = results.forecast(steps=12)
Auto-ARIMA
from chronobox import auto_arima
best = auto_arima(airline['passengers'], seasonal=True, m=12)
print(best.summary())
License
MIT
Project details
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