Comments (2)
mortvest
commented on August 23, 2024
Hello,
Sadly, it is not possible since the BFAST Monitor algorithm only detects a single breakpoint per pixel. If you wish to detect more breakpoints, you would have to use BFAST or BFASTLite. The R implementation is available here. There is also a very early prototype for BFAST (python backend only) in the bfast-experimental branch.
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yongjingmao
commented on August 23, 2024
Hello,
I am also interested in the full list of breaks (and corresponding magnitudes) too. With the experimental branch you mentioned above, could you add an example to show how to achieve this even with python backend?
Thanks you!
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Related Issues (20)
- Error running BFASTMonitor example on a CPU: Build Program Failure in one env and kernel dies in another HOT 2
- import bug fix in the documentation HOT 2
- The error message of level does not reflect its actual behaviour HOT 1
- performance benchmark between the different backend ? HOT 11
- drop usage of sklearn ? HOT 2
- pyhton backend n_chunk is never used HOT 3
- why _model is reset each time fit is called ? HOT 3
- OpenCL backend is way too slow compared to futhark bench HOT 1
- Write an example that demonstrates usage of multiple GPUs
- GPU data transfer overhead amortization
- BFAST cannot be install from git source
- Version 0.7 fails to install on google colab HOT 2
- opencl backend only supports a number of harmonics (k) in range(3,11) HOT 4
- use bfast for one dimentional time series data HOT 10
- numpy should not be referenced in the setup.py HOT 1
- Stable period determination not implemented HOT 2
- Error in normal terminal and Google colab with Get Started example HOT 1
- IndexError when datetime is used with hour != 0
- Support for multiple detected breaks
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