Comments (3)
The main question I think of here is: Should gwsurrogate
advertise only one entry_point
, with a parameter that specifies which surrogate model is used; or if there should be one entry_point
for each model? Does this depend on the API that pycbc
expects of a plugin?
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@duetosymmetry In principle it can be done either way with no loss in functionality. My preference would have been however to advertise each model separately as that is more similar to how it is done for other waveform sources. (each entry point corresponds to the 'approximant' keyword for our waveform generation).
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Closed by #29
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Related Issues (20)
- handle missing modes more gently (from Bitbucket) HOT 1
- modes with old interface (from Bitbucket)
- Better coverage for regression tests (from Bitbucket)
- large relative tolerance for Hybrid surrogate model regression test (from Bitbucket)
- Common interface for all models (from Bitbucket) HOT 1
- Using hdf5 training info consistently within gwsurrogate (from Bitbucket) HOT 1
- pip install error on v1.0.7 HOT 2
- Problems downloading surrogates with fresh install HOT 3
- 'wget' dependency not mentioned in the documentation HOT 1
- pull() fails for directories with characters "in-need-of-quotes" HOT 1
- add test to check if model's h5 file is the most recent
- [ENH] Support versioning of surrogate models
- ppBHPT-based models should allow the user to call the uncalibrated model HOT 1
- Installation problem with setup.py HOT 4
- regression tests broken in Python 3.12 HOT 1
- Capturing logs using logging module
- flow + dt or times array, but not both
- BUG: NRSur7dq4 replacing f_low != 0 with f_ref HOT 1
- Clean up from Pull request #2 (from Bitbucket code)
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