meridian.analysis.analyzer.get_central_tendency_and_ci

Calculates mean and credible intervals for the given data.

meridian.analysis.analyzer.get_central_tendency_and_ci(
    data: (np.ndarray | meridian.backend.Tensor),
    confidence_level: float = constants.DEFAULT_CONFIDENCE_LEVEL,
    axis: tuple[int, ...] = (0, 1),
    include_median=False
) -> np.ndarray

Args
data	Data for the metric.
confidence_level	Confidence level for computing credible intervals, represented as a value between zero and one.
axis	Axis or axes along which the mean, median, and quantiles are computed.
include_median	A boolean flag indicating whether to calculate and include the median in the output Dataset (default: False).

Returns
A numpy array or backend.Tensor containing the mean and credible intervals for the given data. Optionally, it also includes the median.