Loss progress tests #176
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Loss progress tests #176
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Added test_loss_progress test to test_approximators/test_fit.py. Updated fixtures in test_approximators/conftest.py to use OfflineDataset and CouplingFlow.
Refactored test to also test for validation loss in test_approximators/test_fit.py. Added Normal Distribution Simulator class. Refactored test_approximators/conftest.py to use OfflineDataset and NormalSimulator. Added NormalSimulator import to simulators/__init__.py.
Added fix for test failure on Keras Ubuntu output
Codecov ReportAll modified and coverable lines are covered by tests ✅
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## streamlined-backend #176 +/- ##
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- Coverage 67.62% 66.82% -0.80%
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Files 88 92 +4
Lines 1640 1688 +48
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+ Hits 1109 1128 +19
- Misses 531 560 +29 ☔ View full report in Codecov by Sentry. |
stefanradev93
merged commit ff35ca6
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bayesflow-org:streamlined-backend
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Implements changes for Jira BF-28:
Added tests to inspect loss progress and loss on the progress bar
Changes:
test_approximators/test_fit.pytest_loss_progressto monitor the training loss progression in stdout. This is done by checking that the loss reported for each batch is not NaN, and ensuring that the captured epoch summary loss and validation loss match the model's historytest_approximators/conftest.pyinference_networkfixture to useCouplingFlowapproximatorfixturedatasetfixturesimulatorfixture to use newNormalSimulatortrain_datasetfixturevalidation_datasetfixturesimulators/normal_simulator.pyNormalSimulatorwith sampling for fit testssimulators/__init__.pyNormalSimulator