Time Series Forecasting
Christoph Hemmer commited on
Commit
32f5adb
·
verified ·
1 Parent(s): ef7222a

Update README.md

Browse files
Files changed (1) hide show
  1. README.md +1 -1
README.md CHANGED
@@ -39,7 +39,7 @@ from src.utilities.utilities import load_hf_model
39
  model = load_hf_model(model_name="dynamix-3d-alrnn-v1.0")
40
  ```
41
 
42
- Given context data from the target system with shape (`T_C`, `S`, `N`) (where `T_C` is the context length, `S` the number of sequences that should get processed and `N` the data dimensionality), generate forecasts by passing the data through the `DynaMixForecaster` along with the loaded model. Further details can be found in the GitHub repository [DynaMix repository](https://github.com/yourusername/zero-shot-DSR).
43
 
44
 
45
  ## Citation
 
39
  model = load_hf_model(model_name="dynamix-3d-alrnn-v1.0")
40
  ```
41
 
42
+ Given context data from the target system with shape (`T_C`, `S`, `N`) (where `T_C` is the context length, `S` the number of sequences that should get processed and `N` the data dimensionality), generate forecasts by passing the data through the `DynaMixForecaster` along with the loaded model. Further details can be found in the GitHub repository [DynaMix repository](https://github.com/DurstewitzLab/DynaMix-python).
43
 
44
 
45
  ## Citation