timeseries_dataset

Regular time series dataset implementation.

This module provides the TimeSeriesDataset class, which handles time series data with consistent sampling intervals. It offers basic operations for data access, persistence, and temporal metadata management.

The implementation ensures data integrity through automatic sorting and provides convenient methods for saving/loading datasets while preserving all metadata.

Functions

validate_horizons_present(dataset, horizons)

Validate that the specified forecast horizons are present in the dataset.

Classes

TimeSeriesDataset(data[, sample_interval, ...])

A time series dataset with regular sampling intervals and optional versioning.