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The domain hosting the EWSNet model weights has been permanently (but unexpectedly) removed. There is currently no way to download EWSNet weights via the package. A new domain is being looked for.
In the meantime, weights are available for manual download from https://github.com/duncanobrien/ews-assessments/tree/main/python/weights/Pretrained. These weights can then be fed to EWSNet using the weights_path argument of ewsnet_predict().
Steps:
- Download weights from https://github.com/duncanobrien/ews-assessments/tree/main/python/weights/Pretrained to a known folder e.g. example_user/Downloads
- Ensure the path contains
Pretrained/Scaled/*.h5andPretrained/Unscaled/*.h5. e.g."example_user/Downloads/Pretrained/Scaled/1.h5" - Create an object to the new path. e.g.
my_new_path <- "example_user/Downloads" - Following the standard use of
ewsnet_init(), callewsnet_predict(x, scaling = TRUE, ensemble = 25, envname, weights_path = my_new_path)
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