Reza-Rezvan/LSTM_HHO

An LSTM model optimized with Harris Hawks Optimization (HHO) for customizable time series forecasting using your own dataset

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Experimental

This project helps forecasters, analysts, and planners predict future values of a key metric based on historical time-series data. You input a CSV file containing a date/time column, various related measurements, and the specific value you want to predict. The output is a highly tuned prediction model and a visualization showing its forecast against actual past values.

No commits in the last 6 months.

Use this if you need to forecast a single time-series variable and want to leverage advanced machine learning without deep expertise in model optimization.

Not ideal if you need to forecast multiple variables simultaneously, or if your data does not have a clear time component.

predictive-analytics demand-forecasting financial-forecasting resource-planning operations-analytics
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 5 / 25
Maturity 16 / 25
Community 0 / 25

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11

Forks

Language

Python

License

Apache-2.0

Last pushed

Apr 08, 2025

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