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Calculating the distance between values and their nearest valid neighbors within multi-dimensional arrays.
Distinct from Telemetry Gap Detection: Shortlist candidates focus on sorting gaps or telemetry alerts; this is a data processing utility for calculating distance between valid neighbors.
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tsai is a deep learning library for time series classification, regression, and forecasting. Built on PyTorch and fastai, it provides a framework for assigning labels to sequential data, predicting future values in univariate or multivariate sequences, and training representations on unlabeled data through self-supervised learning. The library distinguishes itself with specialized temporal engineering and scaling capabilities. It includes tools for cyclical temporal encoding to capture seasonal patterns and online window slicing to process datasets larger than available memory. It also suppor
Calculates the distance between a value and its nearest valid neighbor within multi-dimensional arrays to detect gaps.