evalml.pipelines.components.TimeSeriesBaselineEstimator.__init__¶
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TimeSeriesBaselineEstimator.__init__(gap=1, random_seed=0, **kwargs)[source]¶ Baseline time series estimator that predicts using the naive forecasting approach.
- Parameters
gap (int) – Gap between prediction date and target date and must be a positive integer. If gap is 0, target date will be shifted ahead by 1 time period.
random_state (None, int) – Deprecated - use random_seed instead.
random_seed (int) – Seed for the random number generator. Defaults to 0.