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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 7 days ago

app.py

6.96 kB
Deploy SuperKart trained Random Forest with integrated Gradio and Flask API 7 days ago
requirements.txt

106 Bytes
Deploy SuperKart trained Random Forest with integrated Gradio and Flask API 7 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 7 days ago