linear_interpolate: Linear interpolation

hypercoil.functional.interpolate.linear_interpolate(data: Tensor, mask: Tensor) → Tensor

Interpolate unseen time frames as a proximity-weighted convex combination of nearest neighbours.

Parameters:

datatensor

Time series data.

maskboolean tensor

Boolean tensor indicating whether the value in each frame of the input time series is observed. True indicates that the original data are “good” or observed, while False indicates that they are “bad” or missing and flags them for interpolation.

Returns:

Tensor

Input dataset with missing frames imputed.