Granite Timeseries Patchtst
IBM Granite series time series forecasting model, based on PatchTST architecture, suitable for various time series forecasting tasks.
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Release Time : 11/21/2024
Model Overview
This model is part of the IBM Granite series, focusing on time series forecasting tasks. It adopts the PatchTST architecture, capable of handling multivariate time series data, and is applicable to various scenarios such as finance, meteorology, and industrial forecasting.
Model Features
Multivariate Time Series Support
Capable of processing time series data with multiple feature dimensions.
ONNX Format Compatibility
Provides ONNX format weights for easy deployment and use in web environments.
Efficient Forecasting
Based on the PatchTST architecture, it delivers efficient time series forecasting capabilities.
Model Capabilities
Time Series Forecasting
Multivariate Data Processing
Long-term Trend Forecasting
Use Cases
Financial Forecasting
Stock Price Prediction
Predict future stock price trends over a certain period.
Meteorological Forecasting
Temperature Prediction
Predict temperature changes over the next few days or weeks.
Industrial Forecasting
Equipment Failure Prediction
Predict potential equipment failure times based on sensor data.
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