flaviagiammarino/deep-tcn-tensorflow
TensorFlow implementation of DeepTCN model for probabilistic time series forecasting with temporal convolutional networks.
This tool helps you predict future values for multiple related time series, like stock prices or sensor readings, by analyzing their historical patterns. You input your past time series data, and it outputs a forecast including a range of possible future values, not just a single prediction. This is useful for anyone needing to anticipate future trends and associated uncertainties, such as financial analysts, operations managers, or supply chain planners.
No commits in the last 6 months.
Use this if you need to forecast multiple interacting time series and want to understand the probable range of future outcomes, not just a single predicted value.
Not ideal if you only need to forecast a single time series or require a simple, single-point prediction without uncertainty estimates.
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40
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9
Language
Python
License
MIT
Category
Last pushed
Apr 15, 2024
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