evalml.pipelines.components.ARIMARegressor.__init__¶
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ARIMARegressor.__init__(date_index=None, trend=None, start_p=2, d=0, start_q=2, max_p=5, max_d=2, max_q=5, seasonal=True, n_jobs=- 1, random_seed=0, **kwargs)[source]¶ - Parameters
date_index (str) – Specifies the name of the column in X that provides the datetime objects. Defaults to None.
trend (str) – Controls the deterministic trend. Options are [‘n’, ‘c’, ‘t’, ‘ct’] where ‘c’ is a constant term, ‘t’ indicates a linear trend, and ‘ct’ is both. Can also be an iterable when defining a polynomial, such as [1, 1, 0, 1].
start_p (int) – Minimum Autoregressive order.
d (int) – Minimum Differencing degree.
start_q (int) – Minimum Moving Average order.
max_p (int) – Maximum Autoregressive order.
max_d (int) – Maximum Differencing degree.
max_q (int) – Maximum Moving Average order.
seasonal (bool) – Whether to fit a seasonal model to ARIMA.