Closed Squadula closed 2 years ago
This pull request's base commit is no longer the HEAD commit of its target branch. This means it includes changes from outside the original pull request, including, potentially, unrelated coverage changes.
Changes Missing Coverage | Covered Lines | Changed/Added Lines | % | ||
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profit/sur/linreg/init.py | 0 | 2 | 0.0% | ||
profit/sur/sur.py | 19 | 22 | 86.36% | ||
profit/sur/linreg/linear_regression.py | 0 | 9 | 0.0% | ||
profit/sur/linreg/chaospy_linreg.py | 0 | 58 | 0.0% | ||
<!-- | Total: | 31 | 103 | 30.1% | --> |
Files with Coverage Reduction | New Missed Lines | % | ||
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profit/sur/gp/gaussian_process.py | 5 | 92.77% | ||
profit/config.py | 11 | 91.91% | ||
profit/sur/sur.py | 42 | 60.66% | ||
<!-- | Total: | 58 | --> |
Totals | |
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Change from base Build 2351568369: | -1.8% |
Covered Lines: | 2579 |
Relevant Lines: | 4009 |
examples/fit/surrogate.ipynb
(GP and LinReg)pre_train
,post_train
andpre_predict
fromGaussianProcess
toSurrogate
v0.5
pre-commit
(black
andnbconvert
to clean notebooks, preparation forv0.6
)updated Contributing
ToDo in a later PR:
optimize
hyperparameters (sigma_n
andsigma_p
)documentation (& add example notebook to docs)
Linear Regression with GORILLA data
→ it fits the data very well but can't model the ridge