`statistics.variance`¶

Import path: earth2studio.statistics.variance

Documentation¶

Statistic for calculating the sample variance over a set of given dimensions.

Parameters:

reduction_dimensions (list[str]) –

A list of names corresponding to dimensions to perform the statistical reduction over. Example: ['lat', 'lon']
weights (Tensor, default: None ) –

A tensor containing weights to assign to the reduction dimensions. Note that these weights must have the same number of dimensions as passed in reduction_dimensions. Example: if reduction_dimensions = ['lat', 'lon'] then assert weights.ndim == 2. By default None.
batch_update (bool, default: False ) –

Whether to applying batch updates to the variance with each invocation of call. This is particularly useful when data is recieved in a stream of batches. Each invocation of call will return the running variance. By default False.

__call__(
    x: Tensor, coords: CoordSystem
) -> tuple[Tensor, CoordSystem]

Apply the sample variance operation over the tensor x.

If batch_update was passed True upon metric initialization then this method returns the running sample variance over all seen batches.

Parameters: