Use Cases

Real-world applications

Time Series Forecasting

Building and validating forecasting models for univariate or multivariate time series data using dedicated algorithms and hierarchical forecasting.

Time Series Classification

Applying classification algorithms to time series data with a consistent API and the ability to compose models via pipelines and ensembles.

Composite Model Development

Creating complex workflows involving pipelines, ensembling, hyperparameter tuning, and task reduction for various time series learning tasks.