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vajeeda
/
MetaDebate
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Fetching metadata from the HF Docker repository...
main
MetaDebate
/
viral_script_engine
/
retention
2 MB
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2 contributors
History:
1 commit
vajeeda
feat(phase12): RetentionCurveSimulator, R10, 150-sample dataset, model trained, 14 tests PASS, gate PASS
79cb04a
4 months ago
training_data
feat(phase12): RetentionCurveSimulator, R10, 150-sample dataset, model trained, 14 tests PASS, gate PASS
4 months ago
__init__.py
Safe
0 Bytes
feat(phase12): RetentionCurveSimulator, R10, 150-sample dataset, model trained, 14 tests PASS, gate PASS
4 months ago
curve_predictor.py
Safe
5.17 kB
feat(phase12): RetentionCurveSimulator, R10, 150-sample dataset, model trained, 14 tests PASS, gate PASS
4 months ago
curve_scorer.py
Safe
3.71 kB
feat(phase12): RetentionCurveSimulator, R10, 150-sample dataset, model trained, 14 tests PASS, gate PASS
4 months ago
feature_extractor.py
Safe
7.48 kB
feat(phase12): RetentionCurveSimulator, R10, 150-sample dataset, model trained, 14 tests PASS, gate PASS
4 months ago
model.joblib
pickle
Detected Pickle imports (10)
"sklearn._loss.loss.HalfSquaredError"
,
"numpy.dtype"
,
"_loss.CyHalfSquaredError"
,
"sklearn.ensemble._gb.GradientBoostingRegressor"
,
"sklearn.dummy.DummyRegressor"
,
"numpy.ndarray"
,
"sklearn._loss.link.Interval"
,
"joblib.numpy_pickle.NumpyArrayWrapper"
,
"sklearn._loss.link.IdentityLink"
,
"sklearn.multioutput.MultiOutputRegressor"
How to fix it?
1.88 MB
xet
feat(phase12): RetentionCurveSimulator, R10, 150-sample dataset, model trained, 14 tests PASS, gate PASS
4 months ago
