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vrfefavr
/
student-performance-ML_project
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main
student-performance-ML_project
3.41 MB
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2 contributors
History:
18 commits
abishek
fix: convert user input to pandas DataFrame for model predictions
8e493b7
about 1 month ago
.playwright-mcp
Fix: Handle missing .pkl file at app startup
about 1 month ago
.streamlit
Fix: Handle missing .pkl file at app startup
about 1 month ago
.gitattributes
Safe
42 Bytes
Add: Generated production bundle file
about 1 month ago
.gitignore
Safe
517 Bytes
Fix: Remove .pkl from gitignore
about 1 month ago
Dockerfile
Safe
525 Bytes
Fix: Force Python 3.12 with proper Dockerfile and packages.txt
about 1 month ago
README.md
Safe
9.62 kB
Fix: Handle missing .pkl file at app startup
about 1 month ago
app.py
Safe
4.16 kB
fix: convert user input to pandas DataFrame for model predictions
about 1 month ago
packages.txt
Safe
70 Bytes
Fix: Force Python 3.12 with proper Dockerfile and packages.txt
about 1 month ago
requirements.txt
Safe
129 Bytes
fix: update SHAP to >=0.46.0 for NumPy 2.0 compatibility on Python 3.13
about 1 month ago
runtime.txt
Safe
12 Bytes
Fix: Switch to Python 3.12 (ML libs have wheels)
about 1 month ago
student_performance_production_bundle.pkl
pickle
Detected Pickle imports (23)
"xgboost.sklearn.XGBRegressor"
,
"pandas.core.internals.managers.BlockManager"
,
"pandas.core.frame.DataFrame"
,
"numpy.dtype"
,
"pandas.core.series.Series"
,
"numpy._core.multiarray.scalar"
,
"fairlearn.reductions._moments.bounded_group_loss.BoundedGroupLoss"
,
"pandas.core.indexes.base.Index"
,
"fairlearn.reductions._exponentiated_gradient._lagrangian._PredictorAsCallable"
,
"pandas.core.internals.managers.SingleBlockManager"
,
"pandas.core.indexes.range.RangeIndex"
,
"pandas.core.indexes.base._new_Index"
,
"pandas._libs.internals._unpickle_block"
,
"sklearn.tree._tree.Tree"
,
"fairlearn.reductions._moments.bounded_group_loss.SquareLoss"
,
"numpy._core.multiarray._reconstruct"
,
"fairlearn.reductions._exponentiated_gradient.exponentiated_gradient.ExponentiatedGradient"
,
"builtins.bytearray"
,
"numpy.ndarray"
,
"sklearn.ensemble._forest.RandomForestRegressor"
,
"builtins.slice"
,
"xgboost.core.Booster"
,
"sklearn.tree._classes.DecisionTreeRegressor"
How to fix it?
3.36 MB
xet
Add: Generated production bundle file
about 1 month ago