flaviagiammarino/lstnet-tensorflow
TensorFlow implementation of LSTNet model for multivariate time series forecasting.
This helps data scientists or quantitative analysts predict future values for multiple related time series. You input historical data for several changing metrics, and it outputs reliable forecasts of how those metrics will evolve over a specified future period. This is useful for anyone needing to anticipate trends or prepare for future conditions.
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Use this if you need to accurately forecast multivariate time series, where multiple interacting variables change over time.
Not ideal if you only have a single time series to predict or if you require an extremely lightweight, dependency-free solution.
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14
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8
Language
Python
License
MIT
Category
Last pushed
Jun 18, 2024
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