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gnosisx
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epl-predictions
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epl-predictions
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History:
8 commits
gnosisx
Fix Pydantic validation error
b4bdac6
verified
10 months ago
.gitattributes
Safe
1.52 kB
initial commit
10 months ago
Dockerfile
Safe
370 Bytes
Deploy FULL model with all features - 75% accuracy
10 months ago
README.md
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689 Bytes
Upload folder using huggingface_hub
10 months ago
app.py
Safe
8.41 kB
Fix version compatibility and pydantic warning
10 months ago
calibrated_gb_model.joblib
1.08 MB
xet
Upload folder using huggingface_hub
10 months ago
calibrated_lr_model.joblib
1.04 kB
xet
Upload folder using huggingface_hub
10 months ago
calibrated_model_metadata.json
Safe
766 Bytes
Deploy BEST models - 75% accuracy, fixed data leakage & xG calibration
10 months ago
calibrated_rf_model.joblib
pickle
Detected Pickle imports (5)
"sklearn.tree._classes.DecisionTreeClassifier"
,
"sklearn.ensemble._forest.RandomForestClassifier"
,
"numpy.dtype"
,
"numpy.ndarray"
,
"joblib.numpy_pickle.NumpyArrayWrapper"
How to fix it?
6.22 MB
xet
Deploy BEST models - 75% accuracy, fixed data leakage & xG calibration
10 months ago
calibrated_scaler.joblib
1.65 kB
xet
Deploy BEST models - 75% accuracy, fixed data leakage & xG calibration
10 months ago
full_app.py
Safe
7.14 kB
Fix Pydantic validation error
10 months ago
requirements.txt
Safe
67 Bytes
Simplified app with compatible versions
10 months ago
simple_app.py
Safe
2.17 kB
Simplified app with compatible versions
10 months ago
simple_metadata.json
Safe
122 Bytes
Simplified app with compatible versions
10 months ago
simple_rf_model.joblib
pickle
Detected Pickle imports (5)
"sklearn.tree._classes.DecisionTreeClassifier"
,
"sklearn.ensemble._forest.RandomForestClassifier"
,
"numpy.dtype"
,
"numpy.ndarray"
,
"joblib.numpy_pickle.NumpyArrayWrapper"
How to fix it?
26.3 kB
xet
Simplified app with compatible versions
10 months ago
simple_scaler.joblib
935 Bytes
xet
Simplified app with compatible versions
10 months ago
validation_results.json
Safe
5.6 kB
Deploy BEST models - 75% accuracy, fixed data leakage & xG calibration
10 months ago