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Update requirements.txt
5b0b7cc verified - 1.58 kB LSTM Time Series Revenue Model
- 301 Bytes initial commit
- 12.6 kB Update app.py
- 150 kB LSTM Time Series Revenue Model
- 132 Bytes Update requirements.txt
scaler_X.pkl Detected Pickle imports (4)
- "numpy.ndarray",
- "numpy.dtype",
- "joblib.numpy_pickle.NumpyArrayWrapper",
- "sklearn.preprocessing._data.MinMaxScaler"
How to fix it?
1.06 kB Uploading the scalers for LSTM scaler_y.pkl Detected Pickle imports (4)
- "numpy.ndarray",
- "numpy.dtype",
- "joblib.numpy_pickle.NumpyArrayWrapper",
- "sklearn.preprocessing._data.MinMaxScaler"
How to fix it?
719 Bytes Uploading the scalers for LSTM - 64.7 kB Two XBG models: xgb_model: binary classification: bankruptcy vs no bankruptcy; xgb_pipeline_model: Regression model
xgb_pipeline_model.pkl Detected Pickle imports (12)
- "sklearn.impute._base.SimpleImputer",
- "numpy.dtype",
- "None.dtype",
- "sklearn.compose._column_transformer.ColumnTransformer",
- "numpy._core.multiarray._reconstruct",
- "sklearn.pipeline.Pipeline",
- "sklearn.preprocessing._data.StandardScaler",
- "sklearn.preprocessing._encoders.OneHotEncoder",
- "sklearn.compose._column_transformer._RemainderColsList",
- "numpy.ndarray",
- "numpy.float64",
- "joblib.numpy_pickle.NumpyArrayWrapper"
How to fix it?
130 kB Two XBG models: xgb_model: binary classification: bankruptcy vs no bankruptcy; xgb_pipeline_model: Regression model
