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BTA-PREDICT

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Refactor prediction logic in historis view; prepare data for model prediction with renamed columns and improved error handling

dc8c2d9 about 2 months ago

__pycache__
Refactor prediction logic in historis view; prepare data for model prediction with renamed columns and improved error handling about 2 months ago
.gitattributes

1.52 kB
initial commit about 2 months ago
README.md

329 Bytes
initial commit about 2 months ago
app.py

21.4 kB
Refactor prediction logic in historis view; prepare data for model prediction with renamed columns and improved error handling about 2 months ago
bta_furnace.db

24.6 kB
Implement initial database management and model handling for BTA predictive maintenance application about 2 months ago
data-temp-clean.csv

13.6 kB
Enhance BTA predictive maintenance app with historical data visualization and real-time prediction features about 2 months ago
db_manager.py

8.75 kB
Improve error handling and data type safety in DBManager; ensure numeric columns are converted to float and handle missing config values gracefully about 2 months ago
laju_penipisan.pkl
Detected Pickle imports (2)
- "numpy.dtype",
- "numpy._core.multiarray.scalar"
How to fix it?
117 Bytes
xet

Add initial implementation of BTA predictive maintenance application about 2 months ago
model_ai_bta.pkl
Detected Pickle imports (3)
- "xgboost.sklearn.XGBRegressor",
- "builtins.bytearray",
- "xgboost.core.Booster"
How to fix it?
1.46 MB
xet

Add initial implementation of BTA predictive maintenance application about 2 months ago
model_manager.py

4.04 kB
Implement initial database management and model handling for BTA predictive maintenance application about 2 months ago
requirements.txt

29 Bytes
Enhance BTA predictive maintenance app with historical data visualization and real-time prediction features about 2 months ago

Detected Pickle imports (2)

Detected Pickle imports (3)