test-patchtst
| Property | Value |
|---|---|
| Author | IBM Research |
| Model Type | Time Series Forecasting |
| Official Model | PatchTST on Hugging Face |
What is test-patchtst?
test-patchtst is a testing implementation of the PatchTST (Patch Time Series Transformer) architecture developed by IBM Research. This model serves as a development and testing version of the official pretrained PatchTST model, which is available through the IBM Granite project.
Implementation Details
The model implements the PatchTST architecture, which applies transformer-based learning to time series forecasting tasks. While this is a test version, it maintains the core architectural principles of the official model.
- Transformer-based architecture optimized for time series
- Patch-wise processing of temporal data
- Developed by IBM Research team
Core Capabilities
- Time series forecasting and analysis
- Testing and development platform for PatchTST architecture
- Integration with IBM Granite ecosystem
Frequently Asked Questions
Q: What makes this model unique?
This is a test implementation of PatchTST, providing a development environment for the full-featured model available in the IBM Granite project.
Q: What are the recommended use cases?
This model is primarily intended for development and testing purposes. For production use cases, it's recommended to use the official pretrained PatchTST model from the IBM Granite project.
