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SUPERKART_SALES_FORECASTING / backend

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Deploy SuperKart trained Random Forest with integrated Gradio and Flask API

bcab6a7 verified 12 days ago

app.py

6.96 kB
Deploy SuperKart trained Random Forest with integrated Gradio and Flask API 12 days ago
requirements.txt

106 Bytes
Deploy SuperKart trained Random Forest with integrated Gradio and Flask API 12 days ago
superkart_model.joblib
Detected Pickle imports (12)
- "numpy.float64",
- "numpy._core.multiarray._reconstruct",
- "sklearn.compose._column_transformer.ColumnTransformer",
- "numpy._core.multiarray.scalar",
- "sklearn.pipeline.Pipeline",
- "None.dtype",
- "joblib.numpy_pickle.NumpyArrayWrapper",
- "sklearn.compose._column_transformer._RemainderColsList",
- "sklearn.preprocessing._data.StandardScaler",
- "numpy.ndarray",
- "sklearn.preprocessing._encoders.OneHotEncoder",
- "numpy.dtype"
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63.8 MB
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Deploy SuperKart trained Random Forest with integrated Gradio and Flask API 12 days ago