Fbopt

[smilesun]

[codecov-commenter]

Codecov Report

Attention: Patch coverage is 63.17241% with 267 lines in your changes are missing coverage. Please review.

Project coverage is 91.33%. Comparing base (1577a7e) to head (7bdf2ef). Report is 58 commits behind head on master.

Files	Patch %	Lines
domainlab/utils/generate_fbopt_phase_portrait.py	0.00%	199 Missing :warning:
domainlab/algos/trainers/fbopt_setpoint_ada.py	81.34%	25 Missing :warning:
domainlab/algos/trainers/fbopt_mu_controller.py	89.91%	12 Missing :warning:
domainlab/models/model_diva.py	73.80%	11 Missing :warning:
domainlab/algos/builder_fbopt_dial.py	44.44%	5 Missing :warning:
domainlab/algos/trainers/train_fbopt_b.py	92.85%	5 Missing :warning:
domainlab/algos/trainers/train_dial.py	33.33%	2 Missing :warning:
domainlab/models/model_hduva.py	75.00%	2 Missing :warning:
domainlab/algos/msels/a_model_sel.py	80.00%	1 Missing :warning:
domainlab/algos/msels/c_msel_val_top_k.py	96.29%	1 Missing :warning:
... and 4 more

Additional details and impacted files

@@            Coverage Diff             @@
##           master     #462      +/-   ##
==========================================
- Coverage   95.15%   91.33%   -3.83%     
==========================================
  Files         127      135       +8     
  Lines        4994     5699     +705     
==========================================
+ Hits         4752     5205     +453     
- Misses        242      494     +252     

Flag	Coverage Δ
unittests	91.33% <63.17%> (-3.83%)	:arrow_down:

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[smilesun]

now this branch contains old code https://github.com/marrlab/DomainLab/tree/fbopt_depreciated

[smilesun]

@smilesun Update ci.yml: revert how pytest runs: no poetry 04a6f25

[smilesun]

diff --git a/domainlab/models/a_model_classif.py b/domainlab/models/a_model_classif.py index 470f0e6d..1917f752 100644 --- a/domainlab/models/a_model_classif.py +++ b/domainlab/models/a_model_classif.py @@ -18,6 +18,13 @@ from domainlab.utils.perf_metrics import PerfMetricClassif from domainlab.utils.utils_class import store_args from domainlab.utils.utils_classif import get_label_na, logit2preds_vpic

+try:

• from backpack import extend +except:
• backpack = None

+loss_cross_entropy_extended = extend(nn.CrossEntropyLoss(reduction="none")) +